YinYang MomentumOverview:
YinYang Momentum is a Price, Volume and Momentum Oscillator. Its job is to help you see swings in momentum and the strength of it. It also creates signals (Blood Diamond (Bear) and Support Cross (Bull)) where these momentum swings may occur. YinYang Momentum features 3 Price and 3 Volume 'Mountains with Ice'. There are Predictive, Regular and Confirming Mountains. You have the ability to overlay them on top of each other which helps to decipher momentum swings. The Volume Mountains are very important for showing the strength behind the Price Mountains and their Signals. If you look, you'll notice, as the 'Ice' starts to curve into the 'Mountains' it signals a potential shift in Momentum. The green Mountain is the Predictive, the Blue is the Regular and the Purple is the Confirming. You'll also notice that the Predictive Mountains movements happen first and move much more drastically. When you notice the regular starts to follow suit, there is a potential for a momentum shift. Shortly after, a signal will occur if this shift is actually happening. You can also check the Confirming Mountain for more confirmation (however, leaving the Confirming Mountain active can be a little confusing and make it harder to read signals). YinYang Momentum also features Information Tables. These tables display how the Blood Diamonds and Support Cross' are fairing on different Timeframes. This way, you'll be able to see if it's in a Bullish or Bearish state on critical Time Frames no matter what Timeframe you're trading on.
Before we move onto the tutorial, let's discuss what each of these Mountains and Ice are and how they work. All of our Mountains and Ice are calculated using the same algorithm but with varying sources, lengths and multipliers. We are essentially calculating differences in movement and then sending those differences into an EMA for the Mountain Base and SMA for the mountain Ice. The values we use for the Predictive are much lower and therefore occur much quicker as they aren’t averaged out on longer lengths/time frames; this helps to make it more of a leading Indicator which may predict momentum changes. Our Regular is over a medium length and multipliers that result in a smooth but generally also gradual movement that helps reliability; this helps it act as more of an ‘in the now’ Indication of momentum changes. Our Confirming uses lengths and multipliers that are of a higher value and longer span; this makes it more difficult to use for determining entry / exit locations as it's more of a lagging indicator, but it helps to add confirmation as to whether the momentum change has occurred and wasn't a false signal.
Tutorial:
YinYang Momentum may look like a lot is going on.. And well that’s cause there is.. But that doesn’t mean it's confusing or hard to read once you know what you’re looking for!
To make this tutorial a little easier to understand, let's turn off a few settings and dissect this indicator one thing at a time. YinYang Momentum features Price and Volume mountains. Currently in the photo above we have 2 Price Mountains and 1 Volume Mountain turned on (this is how it's set by default and how we recommend using it), however there are 3 Mountains available for both Price and Volume:
Predictive
Regular
Confirming
We are going to deactivate everything so it's the Regular Price Mountain + Ice enabled.
Now that it is just the Regular Price Mountain and Ice it is much easier to teach and understand. As you can see there are two different colors on the mountain. The dark blue is the Mountain and the light blue is the Ice.
The Ice moves before the mountain does and when the momentum happens it is larger than it (below or above). When the momentum starts to change however, the Ice curves inside of the mountain. As you can see here, where the BUY signal (red cross) is, the Ice curves into the mountain; also where the SELL signal (red circle) is, the Ice curves into the mountain. The Ice curving into the mountain is a very important leading indication that momentum is changing and the Signals (crosses and diamonds) help solidify this momentum change.
The Index levels for YinYang Momentum is a little different than most oscillators that range from 0-100. Instead YinYang Momentum’s neutral level is 0 and it ranges from -100 to 100. For these reasons, the Viable Range for Buying is -40 to -70 and the Optimal Range for Buying is -70 to -100. For Selling, the Viable Range is 40 to 70 and the Optimal Range is 70 to 100.
If you look at the example above, you can see whenever it has been in the optimal range and the signal occurred, it may potentially be an amazing time to buy or sell. However, when it is within the Viable Range it can be hit or miss. The reason for this is because we are only looking at the Regular Price Mountain and Ice. Once we turn on the Predictive Price and Regular Volume we will have a much clearer idea as to what is noise and what is a true purchase signal. Why don’t we turn on Predictive Price Mountains and Ice so you can see what we’re talking about:
So there are 2 big things that changed when we added the predictive price mountains + ice.
We can see that where the orange circle is, is just noise, it isn’t a viable buy signal.
We can see that where the red circle is, is actually a better spot to sell than the previous marked white circle slightly to the right of it.
We will explain why both above are true, but first let's explain how we were able to deduce this information.
There are 5 rules when deciphering if the signal is a true signal or just noise.
You want the predictive mountain to be decently spaced out from the regular mountain. Refer to the example above how that should look. Remember it's predictive so with parabolic movements it will get quite spaced out. If the price went up but slowly, it generally won’t be as spaced and isn’t as strong of a signal predictor.
You want the Ice to be of a decent size and to curve in on both the Predictive and Regular Mountains. Both arrows (red and white circle arrows) are pointing to Ice that does just that. The Predictive mountain is of decent size and spaced out and the Ice curves in sharply on the Predictive, before curving in sharply on the Regular and then we get both Predictive and Regular Support Cross on the Same Bar.
When you get the Signals (Predictive and Regular) the amount of bars between them matters a lot! On the same Bar is ideal, however 1-2, max 3 bars between them is acceptable. Any more than 3 bars spacing and it's too risky of a signal because that means momentum change was happening but then stopped before picking back up. This doesn’t mean it can’t be a good signal, it just means it is much more risky and we don’t recommend it.
You don’t want Signal Clustering. You can see an example of this from the picture above. Signal Clustering is where signals are back to back over and over. During this time the momentum is in a consolidation phase and easily swaps back and forth between signals. These signals are not reliable and should not be traded on. We only want to act on clear momentum based signals.
Last but certainly not least, actually, the most important! Ensure that the Mountain + Ice for both the Predictive and Regular is at the bare minimum touching (preferably inside) the Viable Range. The Optimal range is best, but most mountains don’t make it that far. Viable Range is where you will make most of your trades from. Sometimes a great signal happens with all 5 of these rules but it is only touching the Viable Range right at 40 or -40. This CAN be okay, but is also much more risky than if it was at 50 to 60 or -50 to -60.
Based on the 5 rules mentioned, take a second and look back at the photo where we initially added the Predictive Price mountains and Ice, can you decipher why the orange circle is just noise, and can you see why the red circle is a better sell location than the white circle slightly to the right of it?
Let’s bring that photo back up now and let’s discuss this:
Let's start with the orange circle:
This orange circle, without the predictive, was hard to tell if it was a good location to buy or not, but the second we turned it on we could clearly see it was just noise.
The spacing between the Predictive mountains and the Regular is almost non-existent.
There was signal clustering shortly before this signal.
Remember, there doesn’t have to be many rules broken for a signal to be either too risky or not valid at all. The safest trades are ones where it meets the requirements of all 5 rules (6 once we talk about volume, but 5 price rules).
Now, let's discuss the red circle:
This red circle, although it could have been chosen with just the regular, was much more noticeable with the predictive added on top.
It has a perfect spacing between the Predictive and the Regular all the way to the peak.
The Ice is large and both curve in very nicely towards the mountains.
The signals are within 2 bars apart from each other.
There is no signal clustering.
The Predictive is within the Viable Range and the Regular is just touching it.
For these reasons, the red circle actually would have been where you sold and not the white circle beside it.
This pretty much covers the Price Mountains, but wait! The most important Cherry on Top to your decision making process is coming next!
We have just enabled our Regular Volume Mountains and Ice (which are the black mountains + ice). As you can see, we have circled what we call the ‘Perfect Combo’. This Perfect combo is when you have all 5 Price rules met COMBINED with a high volume mountain. The Volume Mountain and Ice act as strength. They aren’t biased towards bulls or bears, they simply show strength to whatever signal is present with it.
For example, if all 5 rules are met with Price on a Blood Diamond (Bear) Signal and there is a High Volume Mountain then this is also a ‘Perfect Combo’. That Blood Diamond signal will potentially have great strength behind it. The Viable and Optimal Ranges don’t apply to volume mountains. Any volume mountain, even close to the Viable Range, is considered to be a very high mountain. High volume is when the mountain is above 0 and low volume is when it's below 0. Any signal with low volume has less of a chance of being correct, regardless of whether it abides by all 5 price rules.
You can see here that the 5 Price rules are achieved but the volume mountain is low. It is at -25. Since the 5 Price rules are right, there is still a decent amount of accuracy to this signal and the price did plummet after, but not nearly as much as it would have if the volume mountain was high with it.
We have turned our Confirming Price Mountain on here so you can get an idea of what it looks like and how it’s used. If you refer to the Support Crosses and Blood Diamonds circled in white, you’ll see that although they both received their signals on the Predictive and Regular, neither of them received it on the Confirming. This shows that these signals lost momentum shortly after. However if you look at both the red and green circles, you’ll see that they both received their confirming signals and that it helped give those signals momentum. The Confirming Price Mountain is meant to help confirm if the momentum change is still on track and the max 3 bars from the regular signal rule still applies to it. However its height within the viable and optimal range is important, just not as relevant
Before we move on to our Information Tables we want to take a second just to discuss our Volume Mountains and Ice. We haven’t had a chance yet to discuss the Predictive or Confirming Volume. When it comes to our Volume Mountains + Ice, we don’t recommend having more than 1 on at a time. The reason we have included the Predictive and Confirming is in case you find they suit your Trading Style best, not necessarily to be used the same way the Price Mountains and Ice are. The main reason for this is due to the fact that the Volume Mountains are much smaller and when overlaid on top of each other can make a confusing blur that is hard to decipher.
In this example above we have enabled both Predictive and Regular Volume just so you can understand what we are talking about. The two together can be rather confusing and actually interfere with your decision making process. For this reason, we highly recommend finding the Volume Mountain that suits your trading style best and solely sticking to that.
Our Predictive Volume Mountains and Ice may help sense volume changes before they’ve even happened. This can be very useful if your Trading Style revolves around heavy volume changes.
Our Confirming Volume Mountains and Ice are much slower and smaller, but they help show the movement of volume that has occurred already. This can be used to help see the movement of volume without fearing it may or may not happen.
Our Information Tables are there to show you valuable information on whether it is in a state of Support Cross or Blood Diamond on 6 different Time Frames at the same time. The % it shows you displays how much of a price change has occurred since that signal has happened. It is important to note, if for instance you see it is in a state of Support Cross but the % is negative, this generally means it is going to switch to Blood Diamond soon and vice versa. Therefore if you are in a trade, especially on a lower Time Frame and you are watching the 1 Day or a higher Time Frame and notice that the % is getting less and less, it may be a good time to get out.
We will conclude our Tutorial here. If you have any Questions, Concerns, Suggestions or Comments please don’t hesitate to contact us.
Settings:
1. Show Predictive to Confirmed Trendline:
The Predictive to Confirmed Trendline is very useful for seeing when the predictive (Support Cross or Blood Diamond) has hit the confirmed (It’s a strong confirmation that the trend may be shifting). This trendline also features a Moving Average which helps give you a solid marker for when the Regular / Predictive mountains cross under or over it that a momentum swing may occur. Somewhat like when the RSI crosses above/below its Moving Average it dictates momentum change, that is likewise how to interpret when it happens with the mountains and this trendline.
2. Show Price Ice and Mountains based on:
The Price Ice and Mountains are very important when it comes to deciphering signal strength. For example, When the mountains are very low (regular and predictive) and are between the 2 red line (undervalued) or even possibly below the bottom red line, and the Ice on the mountains starts to curve into the mountains and then the Predictive and Regular Support Cross occur; this is a very strong Bullish Signal. But wait, that's not all, the cherry on top is when the volume mountain (black) is ALSO high while this occurs; the Volume Mountain adds Strength to the signal. When the volume mountain is high too during this ‘Perfect Combo’ this may potentially lead to very bullish price movement occurring soon. Here is an overview of each mountain:
2.1. Predictive: Are the least reliable, but they move first and nothing will move without the predictive moving first, and getting you ready.
2.2. Regular: Are the most accurate, they don't signify strength on its own, but they sure show some momentum.
2.3. Confirming: Are slightly behind when it comes to displaying data, and therefore shouldn't be used for entry / exit, but rather to show if the trend movement has truly been confirmed or not.
When the Ice starts to curve into the Mountain, (either upward or below) it signifies possible momentum change. There are Crosses (Bull), and Diamonds (Bear) to show when they've crossed. Cross' and Diamonds balance each other out and therefore there can never be more than 1 in a row (of the same type). When the Ice and Mountain size is very large (between 40 and 70), and the predictive Ice starts to curve into its mountain, and then the predictive curves into the Regular, and the Regular Ice is curving into its Mountain, then it may have some strong weight behind that signal.\nIMPORTANT: refer to Volume tooltip below for how to increase the signal strength even more.
3. Show Volume Ice and Mountains based on:
The Volume Ice and Mountains are for giving strength to the Price's signals and Size. When there is the perfect combo (described above) AND the Volume Ice + Mountain is high, then there may be a lot of strength to that Price signals (whether it is Cross (Bull), or Diamond (Bear)).
IMPORTANT: High volume mountains, unlike Price, don't mean good or bad. Volume shows strength to the Price, and therefore if there are high Volume mountains during a Diamond (Bearish), then there may be a lot of strength to that signal and vice versa.
4. Show Information Tables:
Information tables are used to display 6 different Time Frames and whether or not each time frame is in a state of Blood Diamond (red) or Support Cross (green). They also show how much % in price has changed since the current signal happened. These are very useful for seeing how the price is fairing on different Time Frames without having to constantly change your timeframe. For instance, maybe you base your entry off the 1 day time frame but then you swing trade on the 15 minute. Well, after you’ve confirmed your entry position and are sitting on the 15 minute, you can stay on the 15 minute and see how it is fairing on the 1 day, 5 minute or whatever time frame you choose. This way you aren’t distracted from the trade at hand. All of these Time Frames can be adjusted in the Settings (GUI) to whatever resolution you wish.
5. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
HAPPY TRADING!
Search in scripts for "bear"
Supply Demand Profiles [LuxAlgo]The Supply Demand Profiles is a charting tool that measures the traded volume at all price levels on the market over a specified time period and highlights the relationship between the price of a given asset and the willingness of traders to either buy or sell it, in other words, highlights key concepts as significant supply & demand zones, the distribution of the traded volume, and market sentiment at specific price levels within a specified time period, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
In other words, this tool highlights key concepts as significant supply & demand zones, the distribution of the traded volume, and market sentiment at specific price levels within a specified time period, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
Besides having the tool as a combo tool, the uniqueness of this version of the tool compared to its early versions is its ability to benefit from different volume data sources and its ability to use a variety of different polarity methods, where polarity is a measure used to divide the total volume into either up volume (trades that moved the price up) or down volume (trades that moved the price down).
🔶 USAGE
Supply & demand zones are presented as horizontal zones across the selected range, hence adding the ability to visualize the price interaction with them
By default, the right side of the profile is the volume profile which highlights the distribution of the traded activity at different price levels, emphasizing the value area, the range of price levels in which the specified percentage of all volume was traded during the time period, and levels of significance, such as developing point of control line, value area high/low lines, and profile high/low labels
The left side of the profile is the sentiment profile which highlights the market sentiment at specific price levels
🔶 DETAILS
🔹 Volume data sources
The users have the option to select volume data sources as either 'volume' (regular volume) or 'volume delta', where volume represents all the recorded trades that occur at a given bar and volume delta is the difference between the buying and the selling volume, that is, the net demand at a given bar
🔹 Polarity methods
The users are able to choose the methods of how the tool to take into consideration the polarity of the bar (the direction of a bar, green (bullish) or red (bearish) bar) among a variety of different options, such as 'bar polarity', 'bar buying/selling pressure', 'intrabar (chart bars at a lower timeframe than the chart's) polarity', 'intrabar buying/selling pressure', and 'heikin ashi bar polarity'.
Finally, the interactive mode of the tool is activated, as such users can easily modify the intervals of their interest just by selecting the indicator and moving the points on the chart
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles and zones
🔹 Calculation Settings
Volume Data Source and Polarity: This option is to set the desired volume data source and polarity method
Lower Timeframe Precision: This option is applicable in case any of the 'Intrabar (LTF)' options are selected, please check the tooltip for further details
Value Area Volume %: Specifies the percentage for the value area calculation
🔹 Presentation Settings
Supply & Demand Zones: Toggles the visibility of the supply & demand zones
Volume Profile: Toggles the visibility of the volume profile
Sentiment Profile: Toggles the visibility of the sentiment profile
🔹 Presentation, Others
Value Area High (VAH): Toggles the visibility of the VAH line and color customization option
Point of Control (POC): Toggles the visibility of the developing POC line and color customization option
Value Area Low (VAL): Toggles the visibility of the VAL line and color customization option
🔹 Supply & Demand, Others
Supply & Demand Threshold %: This option is used to set the threshold value to determine supply & demand zones
Supply/Demand Zones: Color customization option
🔹 Volume Profile, Others
Profile, Up/Down Volume: Color customization option
Value Area, Up/Down Volume: Color customization option
🔹 Sentiment Profile, Others
Sentiment, Bullish/Bearish: Color customization option
Value Area, Bullish/Bearish: Color customization option
🔹 Others
Number of Rows: Specify how many rows the profile will have
Placment: Specify where to display the profile
Profile Width %: Alters the width of the rows in the profile, relative to the profile range
Profile Price Levels: Toggles the visibility of the profile price levels
Profile Background, Color: Fills the background of the profile range
Value Area Background, Color: Fills the background of the value area range
Start Calculation/End Calculation: The tool is interactive, where the user may modify the range by selecting the indicator and moving the points on the chart or can set the start/end time using these options
🔶 RELATED SCRIPTS
Volume-Profile
Volume-Profile-Maps
Volume-Delta
Multi-Timeframe Trend Detector [Alifer]Here is an easy-to-use and customizable multi-timeframe visual trend indicator.
The indicator combines Exponential Moving Averages (EMA), Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI) to determine the trend direction on various timeframes: 15 minutes (15M), 30 minutes (30M), 1 hour (1H), 4 hours (4H), 1 day (1D), and 1 week (1W).
EMA Trend : The script calculates two EMAs for each timeframe: a fast EMA and a slow EMA. If the fast EMA is greater than the slow EMA, the trend is considered Bullish; if the fast EMA is less than the slow EMA, the trend is considered Bearish.
MACD Trend : The script calculates the MACD line and the signal line for each timeframe. If the MACD line is above the signal line, the trend is considered Bullish; if the MACD line is below the signal line, the trend is considered Bearish.
RSI Trend : The script calculates the RSI for each timeframe. If the RSI value is above a specified Bullish level, the trend is considered Bullish; if the RSI value is below a specified Bearish level, the trend is considered Bearish. If the RSI value is between the Bullish and Bearish levels, the trend is Neutral, and no arrow is displayed.
Dashboard Display :
The indicator prints arrows on the dashboard to represent Bullish (▲ Green) or Bearish (▼ Red) trends for each timeframe.
You can easily adapt the Dashboard colors (Inputs > Theme) for visibility depending on whether you're using a Light or Dark theme for TradingView.
Usage :
You can adjust the indicator's settings such as theme (Dark or Light), EMA periods, MACD parameters, RSI period, and Bullish/Bearish levels to adapt it to your specific trading strategies and preferences.
Disclaimer :
This indicator is designed to quickly help you identify the trend direction on multiple timeframes and potentially make more informed trading decisions.
You should consider it as an extra tool to complement your strategy, but you should not solely rely on it for making trading decisions.
Always perform your own analysis and risk management before executing trades.
The indicator will only show a Dashboard. The EMAs, RSI and MACD you see on the chart image have been added just to demonstrate how the script works.
DETAILED SCRIPT EXPLANATION
INPUTS:
theme : Allows selecting the color theme (options: "Dark" or "Light").
emaFastPeriod : The period for the fast EMA.
emaSlowPeriod : The period for the slow EMA.
macdFastLength : The fast length for MACD calculation.
macdSlowLength : The slow length for MACD calculation.
macdSignalLength : The signal length for MACD calculation.
rsiPeriod : The period for RSI calculation.
rsiBullishLevel : The level used to determine Bullish RSI condition, when RSI is above this value. It should always be higher than rsiBearishLevel.
rsiBearishLevel : The level used to determine Bearish RSI condition, when RSI is below this value. It should always be lower than rsiBullishLevel.
CALCULATIONS:
The script calculates EMAs on multiple timeframes (15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) using the request.security() function.
Similarly, the script calculates MACD values ( macdLine , signalLine ) on the same multiple timeframes using the request.security() function along with the ta.macd() function.
RSI values are also calculated for each timeframe using the request.security() function along with the ta.rsi() function.
The script then determines the EMA trends for each timeframe by comparing the fast and slow EMAs using simple boolean expressions.
Similarly, it determines the MACD trends for each timeframe by comparing the MACD line with the signal line.
Lastly, it determines the RSI trends for each timeframe by comparing the RSI values with the Bullish and Bearish RSI levels.
PLOTTING AND DASHBOARD:
Color codes are defined based on the EMA, MACD, and RSI trends for each timeframe. Green for Bullish, Red for Bearish.
A dashboard is created using the table.new() function, displaying the trend information for each timeframe with arrows representing Bullish or Bearish conditions.
The dashboard will appear in the top-right corner of the chart, showing the Bullish and Bearish trends for each timeframe (15M, 30M, 1H, 4H, 1D, and 1W) based on EMA, MACD, and RSI analysis. Green arrows represent Bullish trends, red arrows represent Bearish trends, and no arrows indicate Neutral conditions.
INFO ON USED INDICATORS:
1 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
2 — MOVING AVERAGE CONVERGENCE DIVERGENCE (MACD)
The Moving Average Convergence Divergence (MACD) is a popular trend-following momentum indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in a financial instrument's price.
The MACD is calculated by subtracting a longer-term Exponential Moving Average (EMA) from a shorter-term EMA. The most commonly used time periods for the MACD are 26 periods for the longer EMA and 12 periods for the shorter EMA. The difference between the two EMAs creates the main MACD line.
Additionally, a Signal Line (usually a 9-period EMA) is computed, representing a smoothed version of the MACD line. Traders watch for crossovers between the MACD line and the Signal Line, which can generate buy and sell signals. When the MACD line crosses above the Signal Line, it generates a bullish signal, indicating a potential uptrend. Conversely, when the MACD line crosses below the Signal Line, it generates a bearish signal, indicating a potential downtrend.
In addition to the MACD line and Signal Line crossovers, traders often look for divergences between the MACD and the price chart. Divergence occurs when the MACD is moving in the opposite direction of the price, which can suggest a potential trend reversal.
3 — RELATIVE STRENGHT INDEX (RSI):
The Relative Strength Index (RSI) is another popular momentum oscillator used by traders to assess the overbought or oversold conditions of a financial instrument. The RSI ranges from 0 to 100 and measures the speed and change of price movements.
The RSI is calculated based on the average gain and average loss over a specified period, commonly 14 periods. The formula involves several steps:
Calculate the average gain over the specified period.
Calculate the average loss over the specified period.
Calculate the relative strength (RS) by dividing the average gain by the average loss.
Calculate the RSI using the following formula: RSI = 100 - (100 / (1 + RS))
The RSI oscillates between 0 and 100, where readings above 70 are considered overbought, suggesting that the price may have risen too far and could be due for a correction. Readings below 30 are considered oversold, suggesting that the price may have dropped too much and could be due for a rebound.
Traders often use the RSI to identify potential trend reversals. For example, when the RSI crosses above 30 from below, it may indicate the start of an uptrend, and when it crosses below 70 from above, it may indicate the start of a downtrend. Additionally, traders may look for bullish or bearish divergences between the RSI and the price chart, similar to the MACD analysis, to spot potential trend changes.
Sublime Trading | Trend Strength FilterWhat kind of traders/investors are we?
We are trend followers. Our scripts are designed to be used on the higher timeframes (weekly/daily) to catch the large moves/trends in the market.
Most have heard of long-term trend following. Few know how to execute the strategy.
Our scripts are designed specifically to identify and invest in long-term market trends.
What does this script do?
Identifying trends is at the heart of sound investing.
This script is colour coded to help identify long-term trends and environments where you will want to consider taking positions.
It is also designed to identify sideways/consolidating markets, environments where you will want to consider standing aside.
How is the trailing stoploss produced?
The script uses two sets of Bollinger Bands, one with setting Standard Deviation 1 and the other with Standard Deviation 2.
These settings help to create 3 zones - Buy, Sell and Stand Aside.
The bars will change colour according to which zone they are in.
The Buy zone is colour-coded green, and when a bull market or the start of a bull trend is in play. The green switches from light green to dark green as the asset’s price moves above the Buy zone.
This switch in colour serves as a warning that a reversal/pullback may occur next from bullish to bearish.
The Sell zone is colour-coded red and when a bear market or the start of a bear trend is in play. The red switches from light red to dark red as the asset’s price moves below the Sell zone.
This switch in colour serves as a warning that a reversal/pullback may occur next from bearish to bullish.
The Stand Aside is confirmed when the colour-code changes to grey. This may not necessarily mean a trend reversal but simply a time to apply patience before a trend continuation.
A sustained mixture of red, green and grey bars confirms a consolidation or sideways market and when investors/traders will want to stand aside and consider another asset.
What is the best timeframe to use the script?
Long-term trends are identified on the daily and weekly timeframes where traders and investors take fewer positions but hold for longer time periods.
We recommend using the script in unison on the weekly and daily timeframes.
When both timeframes fall into the Buy zone and colour-coded green, it signifies a strong bull market.
When both timeframes fall into the Sell zone and colour-coded red, it signifies a strong bear market.
When there is a mixture of green, red and grey bars across the two timeframes, it signifies a sideways market and when investors stand aside and protect their capital.
The weekly timeframe will also help mask the noise on the daily timeframe, allowing you to hold positions longer.
The Trailing Strength Filter script is for investors who want to identify and invest in long-term trends whilst simultaneously eliminating intraday swings.
What makes this script unique?
Identifying the start of long-term trends and then riding out established trends are among the main struggles budding investors face. This script has been coded specifically for the daily and weekly timeframe to:
Seamlessly identify the start, middle and end of trends
Align with the market and remove social media noise calling market tops and bottoms
Allow for discretion when entering but particularly exiting of positions if a market trend has not ended
This trend filter script ensures alignment with long-term market trends.
MACD-AS MTF [JoseMetal]============
ENGLISH
============
- Description:
This script is a modification of the Moving Average Convergence Divergence (MACD) of Thomas Aspray, and called as MACD-AS and you may get earlier signals than MACD.
On this (my version) you have several extra elements and customization.
Foremost (of course) you have the MACD-AS, which is the HISTOGRAM, also, it has a SIGNAL line (which smooths the MACD-AS), and finally, a higher timeframe oscillator based on one of the previous values (custom).
- Visuals, features, customization:
You can show/hide any of the components with a checkbox (MACD-AS, Signal and HTF Oscillator).
The timeframe for the higher timeframe oscillator is customizable, but by default is automatic and multiplies the chart timeframe by 3: 5m > 15m, 15m > 45m etc.
So we have the MACD-AS as a histogram, with 2 optional color schemes and custom transparency, it works similar to the original MACD, oscillating around the 0 level. Green colors (bull) if above 0, red (bear) below 0.
Smoothed MACD-AS makes the Signal line, going up (bull) shows green color, down (bear) red, changes from one to another also prints a colored dot. There's another feature which darkens the color when the momentum is losing strength, a strength filter input is available for that purpose but the default 0.5 works well.
The higher timeframe oscillator (it's called "oscillator" because you can pick if you want to show the MACD-AS or Signal line of the higher timeframe), is always shown as a line, colors work similar to the Signal line, but BLUE for bull and PINK for bear.
Finally, the background color just changes from green (bull) to red (bear) and vice versa if the Signal line is above or below the 0 line to show bull/bear trend too, this is slower than other indicator signals as well.
- Usage and recommendations:
You can use this script as default MACD, the difference is that you'll use the DOTs of the Signal line (when changing green to red and vice versa) as crossovers on the classic MACD.
You can also use the higher timeframe oscillator as a trend filter to not to trade against it, ex: if the HTF is bull, don't try to SHORT.
My favorite usage is to find DIVERGENCES with the MACD-AS (histogram) with the HTF MACD-AS histogram as well, having 2 confirmations, ex: 5m divergence + 15m divergence.
As always, suggestions are welcome.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Este script es una modificación del Moving Average Convergence Divergence (MACD) de Thomas Aspray, y llamado como MACD-AS, se pueden obtener señales más tempranas que con el MACD.
En ésta (mi versión) tiene varios elementos adicionales y personalización.
En primer lugar (por supuesto) tienes el MACD-AS, que es el HISTOGRAMA, también, tiene una línea de SEÑAL (que suaviza el MACD-AS), y por último, un oscilador de marco de tiempo superior basado en uno de los valores anteriores (personalizado).
- Visuales, características, personalización:
Puedes mostrar/ocultar cualquiera de los componentes con un checkbox (MACD-AS, Señal y Oscilador HTF).
La temporalidad para el oscilador HTF es personalizable, pero por defecto es automático y multiplica la temporalidad del gráfico por 3: 5m > 15m, 15m > 45m etc.
El MACD-AS (histograma), con 2 esquemas de color opcionales y transparencia personalizada, funciona de forma similar al MACD original, oscilando alrededor del nivel 0. Colores verdes (alcista) si está por encima de 0, rojo (bajista) por debajo de 0.
El suavizado del MACD-AS hace la línea de señal, subiendo (alcista) muestra color verde, bajando (bajista) rojo, cambios de uno a otro también imprime un punto de color. Hay otra característica que oscurece el color cuando el impulso está perdiendo fuerza, una entrada de filtro de fuerza está disponible para ese propósito, pero el valor predeterminado 0,5 funciona bien.
El oscilador de temporalidad superior (se llama "oscilador" porque puedes elegir si quieres mostrar el MACD-AS o la línea de señal), siempre se muestra como una línea, los colores funcionan de forma similar a la línea de señal, pero AZUL para alcista y ROSA para bajista.
Por último, el color de fondo sólo cambia de verde (alcista) a rojo (bajista) y viceversa si la línea de señal está por encima o por debajo de la línea 0 para mostrar la tendencia alcista / bajista también, eso si, resulta más lento que otros avisos del indicador.
- Uso y recomendaciones:
Puedes usar este script como el MACD clásico, la diferencia es que usarán los PUNTOS de la línea de Señal (cuando cambie de verde a rojo y viceversa) como cruces en el MACD clásico.
También puedes usar el oscilador de mayor temporalidad como filtro de tendencia para no operar en contra de ella, ej: si el HTF es alcista, no intentes SHORTs.
Mi uso favorito es encontrar DIVERGENCIAS con el MACD-AS (histograma) y el HTF MACD-AS, teniendo 2 confirmaciones, ej: 5m divergencia + 15m divergencia.
Como siempre, las sugerencias son bienvenidas.
¡Que lo disfrutéis!
Directional Volume EStimate from Price Action (RedK D_VESPA)The "Directional Volume EStimate from Price Action (RedK D_VESPA)" is another weapon for the VPA (Volume Price Analysis) enthusiasts and traders who like to include volume-based insights & signals to their trading. The basic concept is to estimate the sell and buy split of the traded volume by extrapolating the price action represented by the shape of the associated price bar. We then create and plot an average of these "estimated buy & sell volumes" - the estimated average Net Volume is the balance between these 2 averages.
D_VESPA uses clear visualizations to represent the outcomes in a less distracting and more actionable way.
How does D_VESPA work?
-------------------------------------
The key assumption is that when price moves up, this is caused by "buy" volume (or increasing demand), and when the price moves down, this is due to "selling" volume (or increasing supply). Important to note that we are making our Buy/sell volume estimates here based on the shape of the price bar, and not looking into lower time frame volume data - This is a different approach and is still aligned to the key concepts of VPA.
Originally this work started as an improvement to my Supply/Demand Volume Viewer (V.Viewer) , I ended up re-writing the whole thing after some more research and work on VPA, to improve the estimation, visualization and usability / tradability.
Think of D_VESPA as the "Pro" version of V.Viewer -- and please go back and review the details of V.Viewer as the root concepts are the same so I won't repeat them here (as it comes to exploring Balance Zone and finding Price Convergence/Divergence)
Main Features of D_VESPA
--------------------------------------
- Update Supply/Demand calculation to include 2-bar gaps (improved algo)
- Add multiple options for the moving average (MA type) for the calculation - my preference is to use WMA
- Add option to show Net Volume as 3-color bars
- Visual simplification and improvements to be less distracting & more actionable
- added options to display/hide main visuals while maintaining the status line consistency (Avg Supply, Avg Demand, Avg Net)
- add alerts for NetVol moving into Buy (crosses 0 up) or Sell (crosses 0 down) modes - or swing from one mode to the other
(there are actually 2 sets of alerts, one set for the main NetVol plot, and the other for the secondary TF NetVol - give user more options on how to utilize D_VESPA)
Quick techie piece, how does the estimated buy/sell volume algo work ?
------------------------------------------------------------------------------------------
* per our assumption, buy volume is associated with price up-moves, sell volume is associated with price down-moves
* so each of the bulls and bears will get the equivalent of the top & bottom wicks,
* for up bars, bulls get the value of the "body", else the bears get the "body"
* open gaps are allocated to bulls or bears depending on the gap direction
The below sketch explains how D_VESPA estimates the Buy/Sell Volume split based on the bar shape (including gap) - the example shows a bullish bar with an opening gap up - but the concept is the same for a down-bar or a down-gap.
I kept both the "Volume Weighted" and "2-bar Gap Impact" as options in the indicator settings - these 2 options should be always kept selected. They are there for those who would like to experiment with the difference these changes have on the buy/sell estimation. The indicator will handle cases where there is no volume data for the selected symbol, and in that case, it will simply reflect Average Estimated Bull/Bear ratio of the price bar
The Secondary TF Est Average Net Volume:
---------------------------------------------------------
I added the ability to plot the Estimate Average Net Volume for a secondary timeframe - options 1W, 1D, 1H, or Same as Chart.
- this feature provides traders the confidence to trade the lower timeframes in the same direction as the prevailing "market mode"
- this also adds more MTF support beyond the existing TradingView's built-in MTF support capability - experiment with various settings between exposing the indicator's secondary TF plot, and changing the TF option in the indicator settings.
Note on the secondary TF NetVol plot:
- the secondary TF needs to be set to same as or higher TF than the chart's TF - if not, a warning sign would show and the plot will not be enabled. for example, a day trader may set the secondary TF to 1Hr or 1Day, while looking at 5min or 15min chart. A swing/trend trader who frequently uses the daily chart may set the secondary TF to weekly, and so on..
- the secondary TF NetVol plot is hidden by default and needs to be exposed thru the indicator settings.
the below chart shows D_VESPA on a the same (daily) chart, but with secondary TF plot for the weekly TF enabled
Final Thoughts
-------------------
* RedK D_VESPA is a volume indicator, that estimates buy/sell and net volume averages based on the price action reflected by the shape of the price bars - this can provide more insight on volume compared to the classic volume/VolAverage indicator and assist traders in exploring the market mode (buyers/sellers - bullish/bearish) and align trades to it.
* Because D_VESPA is a volume indicator, it can't be used alone to generate a trading signal - and needs to be combined with other indicators that analysis price value (range), momentum and trend. I recommend to at least combine D_VESPA with a variant of MACD and RSI to get a full view of the price action relative to the prevailing market and the broader trend.
* I found it very useful to take note and "read" how the Est Buy vs Est Sell lines move .. they sort of "tell a story" - experiment with this on your various chart and note the levels of estimate avg demand vs estimate avg supply that this indicator exposes for some very valuable insight about how the chart action is progressing. Please feel free to share feedback below.
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading.
The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey.
The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market.
While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
GKD-C Adaptive Digital Kahler Variety RSI w/ DZ [Loxx]Giga Kaleidoscope GKD-C Adaptive Digital Kahler Variety RSI w/ DZ is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Adaptive Digital Kahler Variety RSI w/ DZ as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Adaptive Digital Kahler Variety RSI w/ DZ
What is Digital Kahler?
From Philipp Kahler's article for www.traders-mag.com, August 2008. "A Classic Indicator in a New Suit: Digital Stochastic"
Digital Indicators
Whenever you study the development of trading systems in particular, you will be struck in an extremely unpleasant way by the seemingly unmotivated indentations and changes in direction of each indicator. An experienced trader can recognise many false signals of the indicator on the basis of his solid background; a stupid trading system usually falls into any trap offered by the unclear indicator course. This is what motivated me to improve even further this and other indicators with the help of a relatively simple procedure. The goal of this development is to be able to use this indicator in a trading system with as few additional conditions as possible. Discretionary traders will likewise be happy about this clear course, which is not nerve-racking and makes concentrating on the essential elements of trading possible.
How Is It Done?
The digital stochastic is a child of the original indicator. We owe a debt of gratitude to George Lane for his idea to design an indicator which describes the position of the current price within the high-low range of the historical price movement. My contribution to this indicator is the changed pattern which improves the quality of the signal without generating too long delays in giving signals. The trick used to generate this “digital” behavior of the indicator. It can be used with most oscillators like RSI or CCI.
First of all, the original is looked at. The indicator always moves between 0 and 100. The precise position of the indicator or its course relative to the trigger line are of no interest to me, I would just like to know whether the indicator is quoted below or above the value 50. This is tantamount to the question of whether the market is just trading above or below the middle of the high-low range of the past few days. If the market trades in the upper half of its high-low range, then the digital stochastic is given the value 1; if the original stochastic is below 50, then the value –1 is given. This leads to a sequence of 1/-1 values – the digital core of the new indicator. These values are subsequently smoothed by means of a short exponential moving average . This way minor false signals are eliminated and the indicator is given its typical form.
This indicator contains 7 different types of RSI:
RSX
Regular
Slow
Rapid
Harris
Cuttler
Ehlers Smoothed
What is RSI?
RSI stands for Relative Strength Index . It is a technical indicator used to measure the strength or weakness of a financial instrument's price action.
The RSI is calculated based on the price movement of an asset over a specified period of time, typically 14 days, and is expressed on a scale of 0 to 100. The RSI is considered overbought when it is above 70 and oversold when it is below 30.
Traders and investors use the RSI to identify potential buy and sell signals. When the RSI indicates that an asset is oversold, it may be considered a buying opportunity, while an overbought RSI may signal that it is time to sell or take profits.
It's important to note that the RSI should not be used in isolation and should be used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is RSX?
Jurik RSX is a technical analysis indicator that is a variation of the Relative Strength Index Smoothed ( RSX ) indicator. It was developed by Mark Jurik and is designed to help traders identify trends and momentum in the market.
The Jurik RSX uses a combination of the RSX indicator and an adaptive moving average (AMA) to smooth out the price data and reduce the number of false signals. The adaptive moving average is designed to adjust the smoothing period based on the current market conditions, which makes the indicator more responsive to changes in price.
The Jurik RSX can be used to identify potential trend reversals and momentum shifts in the market. It oscillates between 0 and 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend . Traders can use these levels to make trading decisions, such as buying when the indicator crosses above 50 and selling when it crosses below 50.
The Jurik RSX is a more advanced version of the RSX indicator, and while it can be useful in identifying potential trade opportunities, it should not be used in isolation. It is best used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is Slow RSI?
Slow RSI is a variation of the traditional Relative Strength Index ( RSI ) indicator. It is a more smoothed version of the RSI and is designed to filter out some of the noise and short-term price fluctuations that can occur with the standard RSI .
The Slow RSI uses a longer period of time than the traditional RSI , typically 21 periods instead of 14. This longer period helps to smooth out the price data and makes the indicator less reactive to short-term price fluctuations.
Like the traditional RSI , the Slow RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Slow RSI is a more conservative version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also be slower to respond to changes in price, which may result in missed trading opportunities. Traders may choose to use a combination of both the Slow RSI and the traditional RSI to make informed trading decisions.
What is Rapid RSI?
Same as regular RSI but with a faster calculation method
What is Harris RSI?
Harris RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Larry Harris and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Harris RSI uses a different calculation formula compared to the traditional RSI . It takes into account both the opening and closing prices of a financial instrument, as well as the high and low prices. The Harris RSI is also normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Harris RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Harris RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Harris RSI and the traditional RSI to make informed trading decisions.
What is Cuttler RSI?
Cuttler RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Curt Cuttler and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Cuttler RSI uses a different calculation formula compared to the traditional RSI . It takes into account the difference between the closing price of a financial instrument and the average of the high and low prices over a specified period of time. This difference is then normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Cuttler RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Cuttler RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Cuttler RSI and the traditional RSI to make informed trading decisions.
What is Ehlers Smoothed RSI?
Ehlers smoothed RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by John Ehlers and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Ehlers smoothed RSI uses a different calculation formula compared to the traditional RSI . It uses a smoothing algorithm that is designed to reduce the noise and random fluctuations that can occur with the standard RSI . The smoothing algorithm is based on a concept called "digital signal processing" and is intended to improve the accuracy of the indicator.
Like the traditional RSI , the Ehlers smoothed RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Ehlers smoothed RSI can be useful in identifying longer-term trends and momentum shifts in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Ehlers smoothed RSI and the traditional RSI to make informed trading decisions.
What is a Vertical Horizontal Filter?
The Vertical Horizontal Filter (VHF) is a technical indicator used in trading to identify whether a market is trending or in a sideways trading range. It was developed by Adam White, and is based on the concept that markets tend to exhibit more volatility when they are trending, and less volatility when they are in a sideways range.
The VHF is calculated by taking the ratio of the range of the high and low prices over a specified period to the total range of prices over the same period. The resulting ratio is then multiplied by 100 to create a percentage value.
If the VHF is above a certain threshold, typically 60, it is considered to be indicating a trending market. If it is below the threshold, it is indicating a sideways trading range.
Traders use the VHF to help identify market conditions and to adjust their trading strategies accordingly. In a trending market, traders may look for opportunities to enter or exit positions based on the direction of the trend, while in a sideways trading range, traders may look for opportunities to buy at the bottom of the range and sell at the top.
The VHF can also be used in conjunction with other technical indicators, such as moving averages or momentum indicators, to help confirm trading signals. For example, if the VHF is indicating a trending market and the moving average is also indicating a trend, this may provide a stronger signal to enter or exit a trade.
One potential limitation of the VHF is that it can be less effective in markets that are transitioning between trending and sideways trading ranges. During these periods, the VHF may not accurately reflect the current market conditions, and traders may need to use other indicators or methods to help identify the current trend.
In summary, the Vertical Horizontal Filter (VHF) is a technical indicator used in trading to identify whether a market is trending or in a sideways trading range. It is based on the concept that markets exhibit more volatility when they are trending, and less volatility when they are in a sideways range. Traders use the VHF to help identify market conditions and adjust their trading strategies accordingly.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
What is Adaptive Digital Kahler Variety RSI w/ DZ?
We first calculate the VHF filter, we then inject that period output into an RSI calculation, we apply a Digital Kahler filter to this output, and finally, we create Dynamic Zones to determine oscillator extremes. There are four types of signals: Slope, Static Zero-line, Dynamic Levels, and Dynamic Middle
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
Jerry J8 30-123 Spy Dashboard ProPlease watch the J8 Scalping Tutorial Video below for a walkthrough on how these indicators work.
This script is used in conjunction with Jerry J8 30-123 SPY Scalping PRO” Indicator(which creates the buy and sell orders as a strategy). The Dashboard shows the 4 main criteria statuses from the strategy. I find the dashboard makes scalping the SPY much easier.
This study project is designed for scalping options that expire daily with bull put and bear call credit spreads on a 3 minute chart. The name 30_123 is a reference to 4 main criteria being met to give a green light for a potential trade. The criteria:
* 30 = 30 minute trend
* 1 = 3 minute trend
* 2 = Moving average criteria
* 3 = RSI criteria
4 = Secondary trend. Bonus if in sync but not a requirement.
* The strategy also utilizes momentum as a criteria but this is not shown on the dashboard.
This indicator is designed to trade options that expire daily including the SPY, IWM, QQQ, and NDX. However, it can be used with multiple symbols on a 3 minute chart.
When the 30_123 conditions are all green with all criteria are met a bull signal is created.
When the 30_123 conditions are all red with all criteria are met a bear signal is created.
This study is the dashboard that is designed to show how the main J8 strategy indicator is working and it shows which criteria have been met. Additionally there are multiple user INPUTS that you can adjust for the 4 main criteria plus inputs to help you with your credit spread criteria.
For example, if the SPY is at 400 we could have an order to sell a BULL PUT CREDIT SPREAD and I would likely sell the 398p and buy the 397p; The 398p delta would be approximately -.2. The spread position profits with any close over 398 and/or can be closed early with a bullish price move. IMPORTANT: If the SPY closed the day at $399 on the chart it would look like a loss based on the buy and sell orders but the spread would be a full profit since the close was above 398.
---- IRON CONDOR
For the SPY ticker only an iron condor label is generated when the SPY is trading sideways and meets specified criteria. When the criteria is met the Iron Condor label appears and it provides a recommendation for what option to buy and sell. The iron condor recommendations can be adjusted with user inputs.
This Indicator dashboard shows the criteria labels and colors the criteria as green if bullish and red if bearish. When the criteria are not met the dashboard shows “NO CLEAR SIGNAL”. There is also a label that shows whether you are looking for bullish or bearish positions based on the 30 minute trend.
The chart shown on the indicator is the RSI and for this indicator an RSI over 50 is bullish and under 50 is bearish. The line color shows the RSI trend. RSI OB (overbought) and OS (oversold) areas are shaded. The RSI can remain in an OB or OS state for a prolonged period and while some people use OB and OS as a reversal signal I use it as a strong trend indication and recognize it will not last forever. You can SET the OB and OS levels with inputs.
---- USER INPUTS
Paint Bars: Turns on/off the candle coloring. Default is OFF.
Iron Condor Settings: Defaults are what I use and can be used as a guide.
Criteria: Trend, moving averages, and RSI settings can all be adjusted.
---- SETUP & HINTS
Add "Jerry J8 30-123 SPY Scalping PRO” indicator to show bull and bear signals
Add "Jerry J8 MACD Optimal Entry Zone” indicator to show best MACD range for entry
I also like to add "Jerry Momentum Dream" indicator to see the momentum
With this indicator we’re looking for the 30, 1, 2, and 3 criteria to be met which increases our likelihood of success. IMPORTANT. Never automatically enter a position without reviewing the other indicators and drawing your own conclusions. You want to choose the entries that are the most appealing to you that take into account volume, time of day, and risk/reward. Positions should be closed based on your risk/reward goals.
Indicators are not a magic pill and should be used to support trading decisions, not to make them for you. Past performance is not a guarantee of future returns. The results of individual stocks/indexes with any strategy do not constitute proof they will repeat in the future.
DISCLAIMER: The information contained in our scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. Trading and investing in the stock market and cryptocurrencies involves substantial risk of loss and is not suitable for every investor. I’m NOT a financial adviser. All trading strategies are used at your own risk.
Please Use the AUTHOR’s INSTRUCTIONS link below for more information.
NOTE: The PERFORMANCE SUMMARY below does not accurately reflect the trading strategy because the entry orders generated in the strategy are based on the stock price and our actual order is a credit spread that is profitable even if the price moves against us a little bit. What could show as a loss in the strategy could be a profit in the credit spread.
[blackcat] L3 Super Best Cost LineLevel: 3
Background
As suggested by @hedan1, he made a suggestion: this indicator can be further optimized to develop a dull line to filter the overall direction, and then use the sensitive line as a confirmation signal to enter.
One of my favourite tool to see fast trends which is simple but powerful. It runs under below market logic.
Function
With @hedan1's idea, the 1st thing i come up with is a two-layer structure: the inner sensitive part is the best cost line indicator, the outer layer is a supertrend indicator to control the overall trend direction.
Best cost line is a tool to model the people's mood and preference in the market. I define a typical price as wcx, when wcx is above the best cost line, which means traders are willing to use higher price to buy, then if you long, you are following the trend and make profit. On the other hand, if wcx is below the best cost line, which means traders are NOT willing to pursue higher price (maybe due to continous stop loss or sth other), then you should at least not long or if you are agressive in style, you may consider short.
That is it. Do you think it is simple and powerful enough?
Remarks
L: long entry, yellow
XL: close long, fuchsia
S: short entry, green
XS: close short, red
inner bullish: yellow color
inner bearish: fuchsia color
outer bullish: green color
outer bearish: red color
inner indicator : the best cost line
outer indicator : supertrend
also, i improved the display fucntinon remove some blur lines with linebr feature.
Feedbacks are appreciated.
Buy Sell IndicatorThis Buy Sell Indicator uses price action calculations to determine the bullish or bearish nature of the current market and then calculates if the price action is strong enough to give a signal. The indicator is fully adjustable so you can fine tune it to fit your specific trading style with Scalp Mode, Swing Mode, Long Swing Mode and candle trailing length. It also has an automatic trailing stop loss and take profit features that can be customized.
For price action identification, scalp mode looks at the candle body, candle wicks and size of the body and wicks and compares all of that to the previous candle to see if it is bullish or bearish. Swing mode will compare the current candle to the last 2 candles and long swing mode will compare the current candle to the last 10 candles. It’s looking for higher highs & lower lows, if the candle body is large or small and much more.
There are also filters that prevent signals from being given when the candle is small or has not made a higher high or lower low compared to the previous candle and multiple other filters to help hold positions longer. Once the price action direction has been confirmed, then the script looks at a massive amount of other calculations to determine if a signal should be given or not. These calculations are made up of all of my best indicators combined into a master signal generator as well as more new calculations from things I have learned over time and tested extensively that have not been made available to the public until now.
Price action as well as many other factors will all have to be confirming the direction before a signal can come in, but it reacts very quickly so it can give early signals at the first sign of reversal. Fine tune your settings to match your trading style from within the input settings and then look for potential reversal areas and take signals that appear in that reversal area for the highest probability of winning trades. I decided not to include any support or resistance or similar tools in order to keep the indicator lightweight and respond as fast as possible as well as update the candles as quickly as possible. This also lets you keep your charts clean and only use the support & resistance tools that you prefer since everyone has a different trading style.
HIGHER TIMEFRAME AND/OR MARKET SCANNER
There is also a higher timeframe scanner available as a separate indicator titled Buy Sell Signal Scanner that you can find on my profile. It can be customized to show you up to 8 higher timeframes of your current ticker or any other ticker you like. This is useful for trading with the trend of the higher timeframes or you can set it to the same timeframe as your chart and scan other tickers that usually move together or opposite for extra confirmation. Each ticker/timeframe will be displayed in a table on the chart and colored green or red depending if it is currently bullish or bearish. If you are using a different timeframe than the current chart, then it will display the timeframe next to the ticker name.
HOW TO USE
CANDLES
The candles will paint blue or orange according to the price action detected. This can be customized or turned on/off and will follow the price action according to the trade mode settings. Using these candle colors helps to get rid of anxiety when watching candles come in that are in the opposite direction of your trade. I highly recommend using this feature as it helps you control your emotions much better during trading.
TRADE MODE
The trade mode settings let you choose between Scalp Mode, Swing Mode and Long Swing mode. They all use the same price calculations, but each mode has its own filters to hold through ranging price action in a slightly different way. You can also adjust the candle trailing length to make it hold positions even longer. The candle trailing length will not let a signal come in until there is a higher high or lower low than the previous X number of candles from this setting.
Scalp mode will get you in and out of positions the earliest. Swing mode will hold signals longer by filtering out ranging price action. Long swing mode uses even more filtering to hold positions even longer than swing mode and let price range more without calling out every move. Each one of these modes will also be affected by the candle trailing length.
It should be noted that using swing mode and long swing mode or increasing the candle trailing length will make the signals not perform as well when price action is whipsawing up and down and also will not have as early of entries and exits as scalp mode due to the range breaks that are needed for a signal to be given. That being said, it will hold positions much longer when markets are trending and still have great entries and exits, so use the longer settings when markets are trending and then switch to scalp mode when the market is chopping around and moving sideways for best results.
Scalp Mode
Swing Mode
Long Swing Mode
STOPLOSS
There is an automatic stoploss feature as well. It calculates the average candle height and adds/subtracts that from the highest high or lowest low of the past X number of candles according to your Stoploss Candle Trail Length. Use a lower number for a tight trailing stoploss and increase the number for a more loose stoploss. You can also customize the color of the stoploss line and label or turn it off if you prefer. The stoploss will update on every candle for proper trailing but it will not switch to an opposing signal until the candle closes with a new signal.
TAKE PROFIT
There is an automatic take profit level generator as well that also uses the average candle height for its calculations. There are 3 settings that let you set the average candle size multiplier for each take profit level. The default settings are evenly spaced at 3, 6 and 9 times the average candle height from where the most recent signal locked in at candle close. Adjust these numbers to suit your preference. You can also customize the color of the take profit lines and label or turn it off if you prefer. The take profit levels will not change to an opposing signal until the opposing signal is confirmed on the candle close.
Auto Stoploss & Take Profit
SIGNALS
The default signals are green and red arrows. The color can be adjusted in the settings or you can turn the bull or bear signals on or off if you only want entry signals for the direction of the trend.
VOLUME SPIKE SUPPORT & RESISTANCE
There are volume based auto support & resistance levels that are off by default, but can be turned on in the settings. It calculates the average volume over multiple periods and gets the average of that and then looks for volume spikes that were greater than the average, multiplied by the volume spike multiplier in the settings. If set to 3, then the volume spike will need to be 3 times or higher than the average volume bar for a level to show up. Increase or decrease this number to get more or less levels.
VOLUME WARNING
If volume is very low compared to normal, then a volume warning label will appear at the top of the chart letting you know that volume is very low and to trade with caution. I recommend not trading during those times though as price can whipsaw very easily.
ALERTS
There are also alerts that can be triggered for buy signals as well as sell signals. They are set to only send signals when the bar is confirmed so you won’t get alerts for signals that repaint while the candle is still open. You can use these alerts to send signals to your own trading bot if you choose to.
MARKETS
This buy sell indicator can be used on any market with price data such as stocks, crypto, forex and futures.
TIMEFRAMES
This buy sell indicator can be used on any timeframe.
PAIRINGS
We recommend pairing this Buy Sell Indicator with our Buy Sell Signal Scanner so you can check other timeframes and trade with the trend or use the scanner to look at other markets that move together or opposite of the ticker you are trading for extra confirmation of direction.
[E5 Trading] Advanced RSIAdvanced RSI Overview
The traditional RSI momentum indicator measures the magnitude of price changes over a user-specified period to determine overbought and oversold conditions in the price of an asset.
E5 Trading Advanced RSI adds several sophisticated features to enhance the analysis of RSI to detect early signs of trend reversals and continuations.
Advanced capabilities include customizable fast and slow RSI moving averages, RSI Bollinger Bands, relative overbought and oversold signals, and regular and hidden divergences.
These features provide traders with opportunities to identify confluence using other E5 Trading indicator suite signals and increase the probability of entering winning trades.
RSI Moving Averages
RSI moving average crossovers help determine momentum shifts in the overall trend, similar to price moving average crossovers.
Set the moving average type (default: EMA ), fast-moving RSI period (default: 3), and slow-moving RSI period (default: 5).
When the fast-moving RSI crosses above the slow-moving RSI, bullish. When the fast-moving RSI crosses under the slow-moving RSI, bearish.
The Moving Average Fill feature (default: On) colors the area between the fast-moving and slow-moving RSI lines with bullish and bearish momentum shading.
RSI Bollinger Bands
Like Bollinger Bands for price action, RSI Bollinger Bands can be used as moving oversold and overbought thresholds, which adjust with the RSI oscillator based on its volatility.
When RSI breaks out above the upper RSI Bollinger Band, the asset is overbought on a relative basis, given its price history.
When RSI breaks out below the lower RSI Bollinger Band, the asset is oversold on a relative basis.
Evaluating RSI on a relative basis is more reliable than evaluating RSI on an absolute basis with fixed 30/70 thresholds for oversold/overbought, which traditional RSI analysis relies on.
This is because rigid 30/70 thresholds are arbitrary rules-of-thumb that may (or may not) be relevant to current market conditions.
When RSI is riding the upper or lower Bollinger Bands and breaks towards the middle, this reversion to the mean (i.e., basis line) can signal that the trend may be reversing.
Toggle to turn on the basis (i.e., mean) line of the RSI Bollinger Bands.
The basis line can also be used as a support line when RSI values are above it or as a resistance line when RSI values are below it.
Relative Oversold | Overbought
Relative Oversold | Overbought signals (i.e., dots) provide the Advanced RSI trader with the means to identify trend reversal or continuation opportunities that most traders will miss.
Relative Oversold | Overbought signals reflect an adaptive approach that normalizes RSI data relative to the trend using RSI Bollinger Bands.
These signals improve the reliability of RSI oversold and overbought signals compared to traditional methods and eliminate the need to trade within the confines of fixed 30/70 RSI thresholds.
Signals will appear even when the standard RSI line may be far away from the generally accepted oversold and overbought thresholds (i.e., 30 and 70, respectively).
Advanced RSI Divergences
Divergences occur when a technical indicator, like an oscillator, moves in the opposite direction of the price.
They often serve as an early warning of a trend reversal (via regular divergence signals) or trend continuation (via hidden divergence signals).
Regular divergences provide an early warning signal of potential trend reversals (i.e., trend weakening).
Hidden divergences provide an early warning signal of potential trend continuation (i.e., trend strength).
Regular and Hidden divergences flag in real-time when 'Potential' (default) is selected as the Divergences Confirmation State.
This feature is a leading indicator that provides the trader with an early warning of a potential trend change (regular divergences) or trend continuation (hidden divergences).
Potential RSI regular divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘R’ below and above the RSI line, respectively.
Potential RSI hidden divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘H’ below and above the RSI line, respectively.
Confirmed RSI regular divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘R-Bull’ below and 'R-Bear' above the RSI line, respectively.
Confirmed RSI hidden divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘H-Bull’ below and 'H-Bear' above the RSI line, respectively.
Always practice risk management: Use proper position sizing and a stop-loss on every trade.
Options Scalping by harsh gbychi this is my script.
Bank Nifty Live OI Change Chart can give very useful clues for intraday support and resistance levels for Bank Nifty. If there is more addition in Open Interest at 12200 Calls, that would mean most market players are comfortable writing call options at this level because they believe it to be a strong resistance. That would be bearish indication for BankNifty.
Similarly is there is highest writing in 12000 Puts that would indicate strong intraday support at that level.
Third Scenario: There is good amount of Open Interest increase in 12000 PE and 12200 CE –> this means we should expect a range bound session for the day, as both bears and bulls are comfortable holding the 12200 and 12000 levels respectively.
Following factors could improve reliability of BankNifty OI Change analysis:
1) Put Call Ratio: Higher PCR means bullishness. If there is more writing at 12000PE and PCR is high and increasing during the day that would add to bullish scenario
If the PCR is declining for the day and more writing happening at 12200CE then this adds to bearishness.
2) Close to expiry: The closer to expiry we are, the more reliable the ‘Open Interest’ analysis. Early in the series, the OI analysis is less reliable.
3) More Players: As the number of players increase, the OI analysis become more reliable.
4) Bid-ask Spread: The lower the bid-ask spread the more reliable the OI analysis.
5) Technical Indicators: The best trades are found by combining OI analysis with other technical indicators. MACD, RSI, Channel lines and EW count give best results with Open Interest Analysis.
Rollover LTEThis indicator shows where price needs to be and when in order to cause the 20-sma and 50-sma moving averages to change directions. A change in direction requires the slope of a moving average to change from negative to positive or from positive to negative. When a moving average changes direction, it can be said that it has “rolled over” or “rolled up,” with the latter only applying if slope went from negative to positive.
Theory:
In order to solve for the price of the current bar that will cause the moving average to roll up, the slope from the previous bar’s average to the current bar’s average must be set equal to zero which is to say that the averages must be the same.
For the 20-sma, the equation simply stated in words is as follows:
Current MA as a function of current price and previous 19 values = previous MA which is fixed based on previous 20 values
The denominators which are both 20 cancel and the previous 19 values cancel. What’s left is current price on the left side and the value from 20 bars ago on the right.
Current price = value from 20 bars ago
and since the equation was set up for solving for the price of the current bar that will cause the MA to roll over
Rollover price = value from 20 bars ago
This makes plotting rollover price, both current and forecasted, fairly simple, as it’s merely the closing price plotted with an offset to the right the same distance as the moving average length.
Application:
The 20-sma and 50-sma rollover prices are plotted because they are considered to be the two most important moving averages for rollover analysis. Moving average lengths can be modified in the indicator settings. The 20-sma and 20-sma rollover price are both plotted in white and the 50-sma and 50-sma rollover price are both plotted in blue. There are two rollover prices because the 20-sma rollover price is the price that will cause the 20-sma to roll over and the 50-sma rollover price is the price that will cause the 50-sma to roll over. The one that's vertically furthest away from the current price is the one that will cause both to rollover, as should become clearer upon reading the explanation below.
The distance between the current price and the 20-sma rollover price is referred to as the “rollover strength” of the price relative to the 20-sma. A large disparity between the current price and the rollover price suggests bearishness (negative rollover strength) if the rollover price is overhead because price would need to travel all that distance in order to cause the moving average to roll up. If the rollover price and price are converging, as is often the case, a change in moving average and price direction becomes more plausible. The rollover strengths of the 20-sma and 50-sma are added together to calculate the Rollover Strength and if a negative number is the result then the background color of the plot cloud turns red. If the result is positive, it turns green. Rollover Strength is plotted below price as a separate indicator in this publication for reference only and it's not part of this indicator. It does not look much different from momentum indicators. The code is below if anybody wants to try to use it. The important thing is that the distances between the rollover prices and the price action are kept in mind as having shrinking, growing, or neutral bearish and bullish effects on current and forecasted price direction. Trades should not be entered based on cloud colorization changes alone.
If you are about to crash into a wall of the 20-sma rollover price, as is indicated on the chart by the green arrow, you might consider going long so long as the rollover strength, both current and forecasted, of the 50-sma isn’t questionably bearish. This is subject to analysis and interpretation. There was a 20-sma rollover wall as indicated with yellow arrow, but the bearish rollover strength of the 50-sma was growing and forecasted to remain strong for a while at that time so a long entry would have not been suggested by both rollover prices. If you are about to crash into both the 20-sma and 50-sma rollover prices at the same time (not shown on this chart), that’s a good time to place a trade in anticipation of both slopes changing direction. You may, in the case of this chart, see that a 20-sma rollover wall precedes a 50-sma rollover convergence with price and anticipate a cascade which turned out to be the case with this recent NQ rally.
Price exiting the cloud entirely to either the upside or downside has strong implications. When exiting to the downside, the 20-sma and 50-sma have both rolled over and price is below both of them. The same is true for upside exits. Re-entering the cloud after a rally may indicate a reversal is near, especially if the forecasted rollover prices, particularly the 50-sma, agree.
This indicator should be used in conjunction with other technical analysis tools.
Additional Notes:
The original version of this script which will not be published was much heavier, cluttered, and is not as useful. This is the light version, hence the “LTE” suffix.
LTE stands for “long-term evolution” in telecommunications, not “light.”
Bar colorization (red, yellow, and green bars) was added using the MACD Hybrid BSH script which is another script I’ve published.
If you’re not sure what a bar is, it’s the same thing as a candle or a data point on a line chart. Every vertical line showing price action on the chart above is a bar and it is a bar chart.
sma = simple moving average
Rollover Strength Script:
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Skipper86
//@version=5
indicator(title="Rollover Strength", shorttitle="Rollover Strength", overlay=false)
source = input.source(close)
length1 = input.int(20, "Length 1", minval=1)
length2 = input.int(50, "Length 2", minval=1)
RolloverPrice1 = source
RolloverPrice2 = source
RolloverStrength1 = source-RolloverPrice1
RolloverStrength2 = source-RolloverPrice2
RolloverStrength = RolloverStrength1 + RolloverStrength2
Color1 = color.rgb(155, 155, 155, 0)
Color2 = color.rgb(0, 0, 200, 0)
Color3 = color.rgb(0, 200, 0, 0)
plot(RolloverStrength, title="Rollover Strength", color=Color3)
hline(0, "Middle Band", color=Color1)
//End of Rollover Strength Script
Heiken Ashi MTF Oracle [JoseMetal]============
ENGLISH
============
- Description:
This indicator shows a 3 Multi Time Frame (MTF) Heiken Ashi candlestick oracle.
It shows 3 different lines with changes between bullish and bearish Heiken Ashi candlesticks for 3 automatic or custom timeframes.
It has alerts for LONG and SHORT (when all timeframes agree in the same candle).
- Visual:
Each line represents the color of the Heiken Ashi candlestick on a different timeframe, by default, green is bullis and red is bearish.
A square (configurable) shows the change between bullish and bearish.
When the combination of the 3 timeframes occur (3 bull or bear) the background is highlighted, after that as long as they agree the background will remain with that color.
- Customization:
As usual in my indicators, everything is customizable, timeframes are auto, but you can pick yours, colors, figures etc.
- Usage and recommendations:
Everything is good by default, it's recommended to use a x3 or x4 multiplier for the timeframes, example: 5 min, 15 min, 45 min or 5 min, 20 min and 60 min.
Personally, I use this in 1-3 min for scalping getting the very first time the 3 timeframes agree usually gives awesome entries.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Este indicador muestra un oráculo de velas Heiken Ashi en 3 temporalidades diferentes (MTF).
Muestra 3 líneas diferentes con cambios entre velas Heiken Ashi alcistas y bajistas para 3 marcos temporales automáticos o personalizados.
Tiene alertas para LONG y SHORT (cuando todas las temporalidades coinciden en la misma vela).
- Visual:
Cada línea representa el color de la vela Heiken Ashi en un marco temporal diferente, por defecto, el verde es alcista y el rojo es bajista.
Un cuadrado (configurable) muestra el cambio entre alcista y bajista.
Cuando se produce la combinación de los 3 temporalidades (3 alcistas o bajistas) el fondo se resalta, después mientras coincidan el fondo permanecerá con ese color.
- Personalización:
Como es habitual en mis indicadores, todo es personalizable, los marcos de tiempo son automáticos, pero puedes elegir los tuyos, colores, figuras, etc.
- Uso y recomendaciones:
Todo está bien por defecto, se recomienda usar un multiplicador x3 o x4 para las temporalidades, ejemplo: 5 min, 15 min, 45 min o 5 min, 20 min y 60 min.
Personalmente, uso éste indicador en 1-3 min para scalping, si entras la primera vez que las 3 temporalidades coinciden sueles coger un muy buen movimiento.
¡Que lo disfrutéis!
Oxy CandlestickOxymoronic (oxy) candlesticks often appear at significant levels in a chart and can indicate increased probabilities of directional moves.
Typically, green candles are hollow and red candles are filled. An oxymoronic candle is colored bullishly but filled bearishly (solid green) or vice versa (hollow red).
Oxy flags occur when:
1) Price gaps up and closes lower than the open but above the last close. A solid green (or black) candle is bearish.
2) Price gaps down and closes higher than the open but below the last close. A hollow red candle is bullish.
An oxy candle indicates one of three things:
1) Price is going up (bullish oxy)
2) Price is going down (bearish oxy)
3) Price will return to this level (either)
#1 and #2 are the default meaning. If those don't play out then look for #3.
As is the case with most indicators, it is best not to use this indicator in isolation, but to combine it with other forms of analysis to increase your probabilities and to identify significant levels.
INDEX MA Filter IndicatorIndex Moving Average Trend Filter Indicator
Purpose for use Inidicator :
used as a Trend Filter
Principles of using various Setting values as follows :
1.USDT.D or USDT Dominance is a proportion indicating how many percentages of investment in USDT Total Investments in the Crypto Market
2.DXY or Dollar Index is an index that measures the value of the US dollar
3.BTC.D or USDT Dominance is a percentage indicating how many percent of the investment in Bitcoin is made. All crypto-currency market capitalization
4.TOTAL is all crypto-currency market capitalization
5.TOTAL2 is all crypto-currency market capitalization except Bitcoin
6.TOTAL3 is all crypto-currency market capitalization except Bitcoin and Ethereum
7 . .TOTALDEFI is the total market value of DEFI.
8.TOTALDEFI.D or TOTALDEFI Dominance is the percentage that indicates how many percentage of investments in DEFI are invested in the crypto market.
Principle of application:
USDT.D ,DXY If the index is above the moving average, the bias in trading is bearish for the crypto currency. A trading bias would be a bear market for the crypto currency
BTC.D if the index exceeds its moving averages, a trading bias would be a bullish market for Bitcoin, vice versa if the index is lower. The bias in trading is bearish for Bitcoin
TOTAL. If the index is above the moving average, the bias in trading is bullish for the crypto currencies. On the other hand, if the index is below it. The bias moving average will be a bear market for crypto currencies.
TOTAL2 If the index is above the moving average, the bias in trading is bullish for crypto currencies except Bitcoin. Conversely, if the index is below the moving average, the bias in trading is bearish. of crypto currencies except Bitcoin
TOTAL3. If the index is above the moving average, the bias in trading will be the bull market of the crypto currencies except Bitcoin and Ethereum. Conversely, if the index is below the bias moving average. In trading, it is bearish for all crypto currencies except Bitcoin and Ethereum.
TOTALDEFI, TOTALDEFI.D If the index is above the moving average, the bias in trading is bullish for Alt Coin. This is below the moving average bias in trading, it will be a bear market for Alt Coin.
Multi-Timeframe (MTF) Dashboard by RiTzMulti-Timeframe Dashboard
Shows values of different Indiactors on Multiple-Timeframes for the selected script/symbol
VWAP : if LTP is trading above VWAP then Bullish else if LTP is trading below VWAP then Bearish.
ST(21,1) : if LTP is trading above Supertrend (21,1) then Bullish , else if LTP is trading below Supertrend (21,1) then Bearish.
ST(14,2) : if LTP is trading above Supertrend (14,2) then Bullish , else if LTP is trading below Supertrend (14,2) then Bearish.
ST(10,3) : if LTP is trading above Supertrend (10,3) then Bullish , else if LTP is trading below Supertrend (10,3) then Bearish.
RSI(14) : Shows value of RSI (14) for the current timeframe.
ADX : if ADX is > 75 and DI+ > DI- then "Bullish ++".
if ADX is < 75 but >50 and DI+ > DI- then "Bullish +".
if ADX is < 50 but > 25 and DI+ > DI- then "Bullish".
if ADX is above 75 and DI- > DI+ then "Bearish ++".
if ADX is < 75 but > 50 and DI- > DI+ then "Bearish+".
if ADX is < 50 but > 25 and DI- > DI+ then "Bearish".
if ADX is < 25 then "Neutral".
MACD : if MACD line is above Signal Line then "Bullish", else if MACD line is below Signal Line then "Bearish".
PH-PL : "< PH > PL" means LTP is trading between Previous Timeframes High(PH) & Previous Timeframes Low(PL) which indicates Rangebound-ness.
"> PH" means LTP is trading above Previous Timeframes High(PH) which indicates Bullish-ness.
"< PL" means LTP is trading below Previous Timeframes Low(PL) which indicates Bearish-ness.
Alligator : If Lips > Teeth > Jaw then Bullish.
If Lips < Teeth < Jaw then Bearish.
If Lips > Teeth and Teeth < Jaw then Neutral/Sleeping.
If Lips < Teeth and Teeth > Jaw then Neutral/Sleeping.
Settings :
Style settings :-
Dashboard Location: Location of the dashboard on the chart
Dashboard Size: Size of the dashboard on the chart
Bullish Cell Color: Select the color of cell whose value is showing Bullish-ness.
Bearish Cell Color: Select the color of cell whose value is showing Bearish-ness.
Neutral Cell Color: Select the color of cell whose value is showing Rangebound-ness.
Cell Transparency: Select Transparency of cell.
Column Settings :-
You can select which Indicators values should be displayed/hidden.
Timeframe Settings :-
You can select which timeframes values should be displayed/hidden.
Note :- I'm not a pro Developer/Coder , so if there are any mistakes or any suggestions for improvements in the code then do let me know!
Note :- Use in Live market , might show wrong values for timeframes other than current timeframe in closed market!!
Nifty / Banknifty Dashboard by RiTzNifty / Banknifty Dashboard :
Shows Values of different Indicators on current Timeframe for the selected Index & it's main constituents according to weightage in index.
customized for Nifty & Banknifty (You can customize it according to your needs for the markets/indexes you trade in)
Interpretation :-
VWAP : if LTP is trading above VWAP then Bullish else if LTP is trading below VWAP then Bearish.
ST(21,1) : if LTP is trading above Supertrend (21,1) then Bullish , else if LTP is trading below Supertrend (21,1) then Bearish.
ST(14,2) : if LTP is trading above Supertrend (14,2) then Bullish , else if LTP is trading below Supertrend (14,2) then Bearish.
ST(10,3) : if LTP is trading above Supertrend (10,3) then Bullish , else if LTP is trading below Supertrend (10,3) then Bearish.
RSI(14) : Shows value of RSI (14) for the current timeframe.
ADX : if ADX is > 75 and DI+ > DI- then "Bullish ++".
if ADX is < 75 but >50 and DI+ > DI- then "Bullish +".
if ADX is < 50 but > 25 and DI+ > DI- then "Bullish".
if ADX is above 75 and DI- > DI+ then "Bearish ++".
if ADX is < 75 but > 50 and DI- > DI+ then "Bearish+".
if ADX is < 50 but > 25 and DI- > DI+ then "Bearish".
if ADX is < 25 then "Neutral".
MACD : if MACD line is above Signal Line then "Bullish", else if MACD line is below Signal Line then "Bearish".
PDH-PDL : "< PDH > PDL" means LTP is trading between Previous Days High(PDH) & Previous Days Low(PDL) which indicates Rangebound-ness.
"> PDH" means LTP is trading above Previous Days High(PDH) which indicates Bullish-ness.
"< PDL" means LTP is trading below Previous Days Low(PDL) which indicates Bearish-ness.
Alligator : If Lips > Teeth > Jaw then Bullish.
If Lips < Teeth < Jaw then Bearish.
If Lips > Teeth and Teeth < Jaw then Neutral/Sleeping.
If Lips < Teeth and Teeth > Jaw then Neutral/Sleeping.
Settings :
Style settings :-
Dashboard Location: Location of the dashboard on the chart
Dashboard Size: Size of the dashboard on the chart
Bullish Cell Color: Select the color of cell whose value is showing Bullish-ness.
Bearish Cell Color: Select the color of cell whose value is showing Bearish-ness.
Neutral Cell Color: Select the color of cell whose value is showing Rangebound-ness.
Cell Transparency: Select Transparency of cell.
Columns Settings :-
You can select which Indicators values should be displayed/hidden.
Rows Settings :-
You can select which Stocks/Symbols values should be displayed/hidden.
Symbol Settings :-
Here you can select the Index & Stocks/Symbols
Dashboard for Index : select Nifty/Banknifty
if you select Nifty then Nifty spot, Nifty current Futures and the stocks with most weightage in Nifty index will be displayed on the Dashboard/Table.
if you select Banknifty then Banknifty spot, Banknifty current Futures and the stocks with most weightage in Banknifty index will be displayed on the Dashboard/Table.
You can Customise it according to your needs, you can choose any Symbols you want to use.
Note :- This is inspired from "RankDelta" by AsitPati and "Nifty and Bank Nifty Dashboard v2" by cvsk123 (Both these scripts are closed source!)
I'm not a pro Developer/Coder , so if there are any mistakes or any suggestions for improvements in the code then do let me know!
EMA Options Clouds With SignalsEMA Clouds for Options!
This indicator can help you confidently open and close options positions. Note that you should set stop a little below midline EMA . Risk reward for good signals is fairly consistent in profit. Most of the simulations I ran got between 1:2 and 1:4 profits. The losers usually can be avoided by making sure you are not in a choppy trading channel. Wait for EMAs to start separating and don't blindly follow every buy/sell.
3 wave EMA + Clouds:
Defaults:
EMA 8/32/64
Signals (off by default - turn on in settings):
Buy Call/Sell Call (open/exit call positions)
Buy Put/Sell Put (open/exit put positions)
Enter signals bullish:
Close over Middle EMA AND Short EMA > Middle EMA > Long EMA
Exit signals bullish:
Close under Middle EMA OR trend turns bearish (Short EMA < Middle EMA < Long EMA )
Enter signals bearish:
Close under Middle EMA AND Short EMA < Middle EMA < Long EMA
Exit signals bearish:
Close over Middle EMA OR Short EMA > Middle EMA > Long EMA
Cloud Colors (Default)
Green: Bullish
Red: Bearish
White: Chop/Transition
Too Many Cooks trend indicatorToo many Cooks in The Kitchen
You have probably heard the adage "Too many cooks spoils the broth" before. The meaning behind it is obviously that when to many people are trying to work on the same task at once it simply devolves into a fight for control and creates a mess of the situation. But is this true for indicators is the question I had and thus I made this indicator, a simple combination of 8 random trend finding indicators I assembled (A list of these indicators and their authors will be available at the bottom of this page) . Is it any good though ? In short yes, it is a decent trend finding indicator and could likely be used in your strategy in the place of your current trend finding indicator if you so wish. However much of the versatility of the individual indicators IS lost and would not be possible to get back in this big mess of a broth, so this indicator will not be the be all end all of trend indicators nor will it be a free money machine like you may be expecting looking at the list of included indicators so the adage was correct to a degree.
List of Authors and their included indicators
Trading View defaults:
MACD (Modified by me)
Stochastic RSI (Modified by me)
Lazy Bear:
Wavetrend Oscilator (Modified by me)
Traders Dynamic Index (Modified by me)
HACOLT (Modified by me)
Algokid
AK Trend
Racer8
Average Force
KivancOzbilgic
Average Sentiment Osclilator
Price Strength Index [FT]The original oscillator indicators such as MACD, RSI and Stochastic are all range-bound, it is always between 0 and 100. That makes it a useful indicator of overbought and oversold conditions. However, it is less reliable when a price is on a strong bullish/bearish trend as it may move higher/lower than the suppose range bound. When price is on a strong trend, the indicator is possibly near to max out at overbought/oversold level and it is unable to show if that momentum is still going because the indicator is tapped at 100 (overbought) or 0 (oversold).
What it does:
This indicator is based on those original oscillators and removing the range bound to give it a much accurate take of price movement. The way to use this indicator is similar to how you would use other similar oscillator (ie. RSI, MACD, Stochastic), to have a view of bullish/bearish momentum. Divergence that appear on the indicator would be shown as an important reversal signal. For example, when price shows a bearish trend that reaches a new/equal Low, the indicator presents a higher/equal Low, it may be a sign that bears are exhausted and a reversal is brewing.
There is also the option to include Volume as weight to the calculation. This may give a much clearer view of a price movement with the context of Volume. It is highly recommended to use a much lower P Length (recommend: 5), so that the indicator would calculate for less smoothing and make it easier to spot for peak/trough.
The Zero line can be used to separate between bullish/bearish area. When indicator is above it, this shows strength on bullish side and when it is below Zero, it means that price would appear more bearish. It could also be use as a mean of normal/value. When the indicator is on the extreme peak/trough, it is likely to make a reversal. Like how a rubber band would return to normal after you have stretch it too far.
Why is this indicator useful ?
It is best used to analyse for bullish/bearish momentum.
When divergence appear indicating bullish/bearish momentum is exhausted, and looking to reverse.
When price action is currently on a minor pullback and the indicator is now showing that it is making a higher Low(going Long) or lower High(going Short), indicating a possible continuation of a trend.
When indicator is on extreme peak/trough, to look for a potential reversal.
DISCLAIMER: Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security, investment, currencies or assets.
Comprehensive Market AnalyzerVERSION 2.0:
Notice to users: To better reflect its extensive features, this indicator has been renamed from "Tsūrubokkusu (Toolbox) 🧰" to "Comprehensive Market Analyzer". Thank you for your understanding and adaptation to this change.
Purpose and Usage:
The Comprehensive Market Analyzer is designed to provide traders with a holistic view of market conditions by integrating various technical indicators into a single,
cohesive tool. Each indicator has been carefully selected and improved to work together, offering enhanced customization and advanced market insights.
This combination allows for more comprehensive market analysis, improved decision-making, and efficient trading strategies.
📘 Machine Learning Integration
Purpose : Utilizes machine learning algorithms to analyze past market data and provides predictive insights based on historical data.
Usage : Activate machine learning features, set lookback windows, influence weighting, and start bar for improved trend predictions.
Activate Machine Learning :
Description : Enables advanced machine learning features that analyze past market data.
Details : This feature allows the algorithm to use historical data to forecast market movements, providing traders with enhanced predictive insights on historical data.
Kernel Lookback Window :
Description : Sets the number of previous bars that the algorithm will analyze.
Details : A higher number provides a broader view of market trends, while a lower number makes the model more sensitive to recent changes.
Kernel Influence Weighting :
Description : Adjusts the emphasis on recent versus older data.
Details : Increasing this value gives more importance to recent data, potentially making predictions more responsive to new trends.
Kernel Calculation Start Bar :
Description : Specifies the bar number from which to start the machine learning calculations.
Details : Avoids early data which may contain excessive noise and less reliable market signals.
Kernel Functions :
Gaussian Kernel :
Description : Uses a Gaussian distribution to weight historical data, focusing on more recent data points for trend analysis.
Details : Calculates weights based on the Gaussian distribution, emphasizing data points closer to the present.
Laplacian Kernel :
Description : Applies Laplacian distribution, emphasizing data points closer to the current time more heavily.
Details : Uses the Laplacian function to provide a different perspective on data weighting.
RBF Kernel :
Description : Utilizes a Radial Basis Function for smoothing and analyzing data, providing a different approach to trend prediction.
Details : Applies the RBF function to smooth data and enhance the accuracy of trend predictions.
Wavelet Kernel :
Description : Applies wavelet transform for analyzing frequency components, helping to detect patterns in the price movements.
Details : Uses wavelet-based calculations to focus on specific frequency components within the data, aiding in pattern recognition.
📘 Enhanced Ichimoku Kinkō Hyō Integration
Purpose : Provides a comprehensive overview of market trends and momentum using the Ichimoku Kinkō Hyō indicator.
Usage : Display various components of the Ichimoku Kinkō Hyō, customize their appearance, provides additional calculations for trend analysis.
Display Ichimoku Kinkō Hyō :
Description : Toggle to show or hide the Ichimoku Kinkō hyō indicator.
Details : This indicator helps traders see support and resistance levels, trend direction, and potential future movements.
Activate Heikin-Ashi Source :
Description : Switches between regular price data and Heikin-Ashi candles for analysis.
Details : Heikin-Ashi candles smooth price data, making trends easier to spot.
Display Tenkan-Sen Line :
Description : Shows the Tenkan-Sen line, a key short-term trend indicator.
Color Customization : Set the color of the Tenkan-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Tenkan-Sen line.
Maximum Length : Determine the longest period for calculating the Tenkan-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Tenkan-Sen based on market conditions.
Display Kijun-Sen Line :
Description : Shows the Kijun-Sen line, a key medium-term trend indicator.
Color Customization : Set the color of the Kijun-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Kijun-Sen line.
Maximum Length : Determine the longest period for calculating the Kijun-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Kijun-Sen based on market conditions.
Kijun-Sen Divider Tool : Adjust the sensitivity of the Kijun-Sen calculation.
Display Chikou Span :
Description : Shows the Chikou Span, which lags behind the current price to help confirm trends.
Bear Phase Color : Set the color for bearish periods.
Bull Phase Color : Set the color for bullish periods.
Consolidation Color : Set the color for consolidation periods.
Minimum Length : Determine the shortest lag period for the Chikou Span.
Maximum Length : Determine the longest lag period for the Chikou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Chikou Span based on market conditions.
Display Senkou Span A and B :
Description : Shows the Senkou Span A and B, which form the Ichimoku Cloud indicating future support and resistance levels.
Bear Color : Set the color for bearish clouds.
Bull Color : Set the color for bullish clouds.
Neutral Color : Set the color for neutral periods.
Minimum Length : Determine the shortest period for calculating the Senkou Span.
Maximum Length : Determine the longest period for calculating the Senkou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Senkou Span based on market conditions.
Projection Offset : Set how far ahead the Senkou Span is projected.
Kumo Cloud Settings :
Enable Kumo Cloud Fill : Toggle to fill the space between Senkou Span A and B with color.
Cloud Fill Transparency : Adjust the transparency of the cloud fill.
Apply WMA Smoothing :
Description : Smooths the indicator lines using a Weighted Moving Average to clarify trends.
Bar Coloring Based on Ichimoku Signals :
Description : Colors the bars based on Ichimoku signals to provide a quick visual indication of market sentiment.
Bearish Signal Bar Color : Set the color for bars during bearish signals.
Bullish Signal Bar Color : Set the color for bars during bullish signals.
Consolidation Signal Bar Color : Set the color for bars during consolidation periods.
Neutral Bar Color : Set the color for bars during neutral conditions.
Enhanced Calculations :
Heikin Ashi Values : Smooths price movements to make trends more visible.
Alternative Source Calculation : Uses a different method for calculating the indicator based on user settings.
Volume Calculations : Enhanced functions for calculating volume based on different candlestick patterns.
Dynamic Length Adjustment : Automatically adjusts the length of Ichimoku components based on market volatility.
Gaussian Kernel Calculations : Uses advanced calculations for smoother and more accurate trend analysis.
Chikou Span Adaptation : Improved calculation for the Chikou Span using dynamic lengths and advanced methods.
Visual Enhancements : Adds color gradients to the Senkou Span and dynamic coloring for the Chikou Span to improve trend visibility.
Plotting Ichimoku Components :
Tenkan-Sen : Plots the Tenkan-Sen line with dynamic adjustments.
Kijun-Sen : Plots the Kijun-Sen line with dynamic adjustments.
Senkou Span A and B : Plots these lines with dynamic projections and advanced smoothing.
Chikou Span : Plots the Chikou Span with dynamic offsets and coloring.
📘 Enhanced Candlestick Patterns Integration
Purpose : Identifies and displays various candlestick patterns to help traders spot key market movements and potential reversals.
Usage : Toggle the display of patterns, select specific pattern types, and customize pattern labels for improved visual analysis.
Display Patterns :
Description : Toggle to enable or disable the display of all candlestick patterns.
Details : When enabled, all selected candlestick patterns will be displayed on the chart, aiding traders in identifying key market movements and potential reversals.
Select Pattern Type :
Description : Select the type of candlestick patterns to detect.
Details : Options include Bullish (indicating potential upward trends), Bearish (indicating potential downward trends), or Both.
Trend Filter Method :
Description : Select the method to filter trends.
Details : Options include True Range (based on price range), Fractals, Volume, Combined, or None (no filtering).
Pattern Label Colors :
Bullish Pattern Color : Choose the color for labeling Bullish patterns, indicating potential upward trends.
Bearish Pattern Color : Choose the color for labeling Bearish patterns, indicating potential downward trends.
Indecision Pattern Color : Choose the color for labeling Indecision patterns, indicating no clear trend direction.
Base Line and Patterns Display Options :
Show Base Line in Place of Labels : Toggle to display a base line instead of labels for detected patterns. This helps visualize the general trend.
Show Counterattack Lines : Toggle to display Counterattack Lines patterns, indicating potential reversal points.
Show Dark Cloud Cover : Toggle to display Dark Cloud Cover patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Engulfing Patterns : Toggle to display Engulfing patterns. Bullish Engulfing patterns suggest a potential upward reversal, while Bearish Engulfing patterns suggest a potential downward reversal.
Show Hammer Patterns : Toggle to display Hammer patterns, a bullish pattern indicating a potential reversal from a downtrend to an uptrend.
Show Hanging Man Patterns : Toggle to display Hanging Man patterns, a bearish pattern indicating a potential reversal from an uptrend to a downtrend.
Show Harami Patterns : Toggle to display Harami patterns. Bullish Harami patterns suggest a potential upward reversal, while Bearish Harami patterns suggest a potential downward reversal.
Show In-Neck Patterns : Toggle to display In-Neck patterns, indicating a potential continuation of the current trend.
Show On-Neck Patterns : Toggle to display On-Neck patterns, indicating a potential continuation of the current trend.
Show Piercing Patterns : Toggle to display Piercing patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Three Black Crows : Toggle to display Three Black Crows patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Thrusting Patterns : Toggle to display Thrusting patterns, a bearish pattern suggesting a potential continuation of the downtrend.
Show Upside Gap Two Crows : Toggle to display Upside Gap Two Crows patterns, a bearish pattern suggesting a potential downward reversal after an upward gap.
Show Evening Star : Toggle to display Evening Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Inverted Hammer : Toggle to display Inverted Hammer patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Morning Star : Toggle to display Morning Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Shooting Star : Toggle to display Shooting Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Doji Patterns : Toggle to display Doji patterns, indicating market indecision and potential reversals.
Show Dragonfly Doji : Toggle to display Dragonfly Doji patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Evening Doji Star : Toggle to display Evening Doji Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Gravestone Doji : Toggle to display Gravestone Doji patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Long-Legged Doji : Toggle to display Long-Legged Doji patterns, indicating high market indecision and potential reversals.
Show Morning Doji Star : Toggle to display Morning Doji Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Rising Three Methods : Toggle to display Rising Three Methods patterns, a bullish pattern suggesting a continuation of the uptrend.
Show Falling Three Methods : Toggle to display Falling Three Methods patterns, a bearish pattern suggesting a continuation of the downtrend.
Show Tasuki Patterns : Toggle to display Tasuki patterns, indicating potential trend continuation after a gap.
Show Marubozo : Toggle to display Marubozo patterns, indicating strong trend continuation, either bullish or bearish.
Show Long Lower Shadow : Toggle to display Long Lower Shadow patterns, indicating strong buying pressure and potential upward movement.
Show Long Upper Shadow : Toggle to display Long Upper Shadow patterns, indicating strong selling pressure and potential downward movement.
Show Three Inside Up/Down : Toggle to display Three Inside Up/Down patterns, indicating potential bullish or bearish reversals.
Show Kicker Pattern : Toggle to display Kicker patterns, indicating significant potential reversals.
Show Tweezer Tops/Bottoms : Toggle to display Tweezer Tops/Bottoms patterns, indicating potential reversals at the tops or bottoms.
Show Mat Hold Pattern : Toggle to display Mat Hold patterns, a bullish pattern suggesting a continuation of the uptrend.
Candle Body/Shadow Comparison Options :
Candle Body/Shadow Comparison : Choose the criteria to compare candle sizes: Shadows (larger shadows), Body (larger body), Both (larger shadows and body), Either (larger shadows or body), or None (no comparison).
Look-back Period for Candle Comparison : Specify the number of periods to look back when comparing the current candle size to determine if it is significant.
Period for Body Length Average : Specify the period for calculating the average body length of candles to help identify significant patterns.
Period for Candle Length Average : Specify the period for calculating the average length of candles to help identify significant patterns.
Specific Pattern Thresholds :
Doji Body Percentage Threshold : Set the percentage threshold for identifying Doji patterns based on the candle body size compared to its range.
Upper Shadow Percentage Limit : Set the maximum allowed upper shadow percentage of the candle’s range for identifying specific Doji patterns.
Lower Shadow Percentage Limit : Set the maximum allowed lower shadow percentage of the candle’s range for identifying specific Doji patterns.
Price Deviation Tolerance : Specify the price deviation tolerance for pattern recognition, which helps in identifying patterns within a certain price range.
Thrusting Neck Percentage : Set the percentage threshold for identifying Thrusting Neck patterns, indicating a potential continuation of the current trend.
Base Line Settings :
Base Line EMA Length : Specify the length of the EMA for the Base Line, helping to visualize the general trend.
Enhanced Calculations :
Wavelet Transform : If machine learning is enabled, calculates the wavelet transform for smoother and more accurate pattern detection.
Candle Body and Shadows Calculation : Detailed calculations for candle body and shadow lengths to improve pattern detection.
Average Calculations : Calculate averages for body and candle sizes to help identify significant patterns.
Fractals Calculation : Identify fractal highs and lows to aid in trend detection.
Trend Filters : Apply user-selected trend filters based on True Range, Fractals, Volume, or a combination.
Pattern Detection and Labeling : Detects and labels various candlestick patterns, including Doji, Engulfing, Hammer, and more, with options for displaying labels or base lines.
Alerts and Notifications : Set alerts for detected patterns and base line colors to notify traders of significant market events.
Plotting Candlestick Patterns :
Pattern Detection : Automatically detects and labels various candlestick patterns based on user settings.
Label Customization : Customize the labels for different patterns, including color and text.
Base Line Plotting : Option to plot a base line instead of labels for detected patterns, enhancing trend visualization.
Alerts for Patterns : Set alerts for detected patterns to keep traders informed of significant market changes.
📘 Enhanced Fibonacci Retracement Integration
Purpose : Provides a tool for identifying potential support and resistance levels using Fibonacci retracement.
Usage : Toggle the display of Fibonacci levels, adjust the lookback period, and customize the appearance of Fibonacci levels for better market analysis.
Auto Mode :
Description : Toggle to enable or disable automatic detection of price points.
Details : When enabled, the highest and lowest price points within a specified period will be automatically detected to set Fibonacci levels. Disable to manually set the top and bottom prices.
Period :
Description : Set the lookback period for detecting price points.
Details : Defines the number of bars to look back when detecting the highest and lowest prices in Auto Mode, used for calculating Fibonacci levels.
Manual Top :
Description : Manually set the top price level.
Details : Adjust this setting to reflect the peak price of interest when Auto Mode is disabled.
Manual Bottom :
Description : Manually set the bottom price level.
Details : Adjust this setting to reflect the low price of interest when Auto Mode is disabled.
Display Fibonacci :
Description : Toggle to show or hide Fibonacci retracement levels.
Details : When enabled, the calculated Fibonacci levels will be displayed on the chart, overlaying the price data.
Baseline Levels :
Description : Select Fibonacci levels to highlight as baselines.
Details : Choose specific levels to be visually distinct, emphasizing their significance in the analysis.
Fibonacci Levels Colors :
Upper Levels Color : Set the color for Fibonacci levels above the baseline, indicating potential resistance levels.
Lower Levels Color : Set the color for Fibonacci levels below the baseline, indicating potential support levels.
Baseline Levels Color : Set the color for highlighted baseline Fibonacci levels, making them stand out from other levels.
Display Individual Fibonacci Levels :
Show Level : Toggle to enable or disable the display of specific Fibonacci levels.
Level Value : Set the multiplier used to calculate each specific Fibonacci level relative to the price range.
Reverse Levels :
Description : Toggle to switch the calculation direction of Fibonacci levels.
Details : When enabled, levels are calculated in reverse, useful for analyzing downtrends.
Line Extension :
Description : Choose how Fibonacci level lines are extended on the chart.
Details : Options include extending lines to the left, right, or both, affecting their visual presentation.
Text Size :
Description : Adjust the font size of the labels for Fibonacci levels.
Details : Options range from large to tiny, allowing for readability adjustments according to user preference.
Line Style :
Description : Select the line style for Fibonacci levels.
Details : Options include solid, dotted, and dashed, providing visual distinction.
Line Width :
Description : Set the thickness of the Fibonacci level lines.
Details : A higher value makes the lines more prominent on the chart.
Baseline Line Style :
Description : Choose the line style specifically for the baseline levels.
Details : This can differ from other Fibonacci levels to emphasize their importance.
Baseline Line Width :
Description : Adjust the thickness of the baseline level lines.
Details : Can be set differently from other levels for visual emphasis.
Enhanced Calculations :
Automatic and Manual Top/Bottom Setup : Detect or manually set the highest and lowest price points.
Price Range Calculation : Determine the range between the highest and lowest prices.
Fibonacci Level Values : Calculate the values for each Fibonacci level.
Visual and Label Configuration : Configure visual aspects and labels for each level.
Plotting and Labeling :
Level Plotting :
Description : Plot each Fibonacci level on the chart.
Details : Draw lines representing each calculated level.
Label Customization :
Description : Customize the labels for Fibonacci levels.
Details : Include text, colors, and positioning for clarity.
📘 Supports and Resistances Integration
Purpose : Identifies key support and resistance levels to aid in market analysis.
Usage : Toggle the display of support and resistance lines, customize their appearance, and use Bollinger Bands for additional insights.
Display Supports and Resistances :
Description : Toggle to enable or disable the display of support and resistance lines.
Details : When enabled, support and resistance lines will be shown on the chart, providing key levels for market analysis.
Swing Period :
Description : Set the retrospective period for identifying swing points.
Details : A longer period captures more significant trends but may reduce sensitivity. The default value is 10.
Support Line Color :
Description : Set the color for support lines.
Details : Choose a color that enhances chart readability. Default is green.
Resistance Line Color :
Description : Set the color for resistance lines.
Details : Choose a color that makes resistance lines easily distinguishable. Default is red.
Trend-Based Line Color :
Description : Toggle to enable dynamic coloring based on trend direction.
Details : When enabled, the color of the lines will change according to the trend, aiding visual analysis.
Line Thickness :
Description : Adjust the thickness of the support and resistance lines.
Details : Choose a thickness value between 1 and 5 for better visibility.
Line Style :
Description : Select the style of the lines.
Details : Options include Solid, Dotted, or Dashed lines for visual distinction.
Number of Lines to Display :
Description : Set the maximum number of support/resistance lines to display.
Details : Adjust the number of lines to avoid clutter or to show more levels.
Display Bollinger Bands :
Description : Toggle to show or hide Bollinger Bands on the chart.
Details : Bollinger Bands provide a visual representation of volatility and potential price ranges.
Bollinger Bands Integration :
Description : Enable the integration of Bollinger Bands for S/R calculation.
Details : This feature adjusts the placement of S/R lines based on the market volatility captured by the Bollinger Bands.
Bollinger Bands Color Settings :
Description : Set colors for different Bollinger Band conditions.
Details :
Green: Prices above the median but below the upper band (potential overbought area).
Dark green: Prices above the upper band (strong upward momentum).
Light red: Prices below the median but above the lower band (potential oversold area).
Dark red: Prices below the lower band (strong downward momentum).
Fill Opacity Adjustment :
Description : Adjust the fill opacity between Bollinger Bands.
Details : Set the opacity level to balance visibility with other chart elements.
BB Sensitivity Level :
Description : Adjust the sensitivity for determining S/R levels near Bollinger Bands.
Details : A higher value increases the consideration of levels near the bands.
Band Width Multiplier :
Description : Control the width of the Bollinger Bands.
Details : Adjust the multiplier to expand or contract the bands based on market volatility.
Uniform BB Coloring :
Description : Apply a consistent color to Bollinger Bands.
Details : Simplify visual interpretation with a uniform color.
Plotting and Alerts :
Plotting Bollinger Bands :
Description : Plot the Bollinger Bands on the chart.
Details : The bands are colored based on the conditions set for market volatility and price ranges.
Alerts and Notifications :
Description : Set alerts for support/resistance breaks and Bollinger Band breakouts.
Details : Notify traders of significant market events related to these levels.
📘 Enhanced Trend Lines Integration
Purpose : Identifies and plots trend lines based on market structure to help traders understand market direction and potential buy/sell points.
Usage : Toggle the display of trend lines, customize their appearance, and use enhanced calculations for trend analysis.
Display Trend Lines :
Description : Enable or disable the display of trend lines on the chart.
Details : These trend lines are calculated based on market structure, specifically through the detection of Breaks of Structure (BOS). If enabled, the trend lines will help in identifying the market overall trend and potential buy and sell points.
Trend Line Colors :
Upper Line Color : Set the color for the upper trend lines to enhance visual distinction.
Lower Line Color : Set the color for the lower trend lines, aiding in easy identification of support levels.
Pivot Labels :
Show Pivots Labels : Control the display of pivot labels on the chart.
Pivot Label Size : Select the size of the pivot labels displayed on the chart. Options include Tiny, Small, Normal, Large, and Huge.
Trend Line Calculations :
Pivot Depth : Adjust the depth for pivot calculation based on the selected timeframe to capture significant price movements.
Pivot Deviation : Set the deviation for pivot calculation to identify key turning points.
Pivot Backstep : Define the backstep for pivot calculation to ensure accurate detection of pivot points.
Enhanced Calculations :
Market Structure Detection : Utilize advanced algorithms to identify key market structures, improving trend line accuracy.
Adaptive Parameters : Automatically adjust pivot depth, deviation, and backstep based on the selected timeframe for better relevance.
Zigzag Calculation : Implement zigzag patterns to dynamically adjust trend lines, ensuring they reflect current market conditions.
Slope and Intercept Calculation : Compute the slope and intercept for trend lines to enhance precision in trend detection.
Dynamic Updates : Continuously update trend lines as new data becomes available, ensuring real-time accuracy.
Alerts and Notifications : Set alerts for new high and low pivots, as well as for when the price crosses upper or lower trend lines, keeping traders informed of significant market changes.
Plotting Trend Lines :
Trend Line Plotting : Automatically draw trend lines based on detected BOS, helping traders visualize the market trend.
Diagonal Support/Resistance Lines : Plot diagonal lines to indicate support and resistance levels, enhancing the understanding of market dynamics.
Pivot Label Customization : Customize pivot labels for clear identification of high and low points in the trend.
Alerts for Trend Lines : Set alerts for when price crosses trend lines, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Linear Regression Integration
Purpose : Uses linear regression to analyze price movements and identify trends.
Usage : Display the linear regression projection line, customize its appearance, and use enhanced calculations for better trend analysis.
Display Projection Line :
Description : Toggle to display or hide the linear regression projection line on the chart.
Details : This line represents the best fit line that predicts future prices based on historical data.
Data Source :
Description : Select the data source for the linear regression projection.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the linear regression projection line.
Trend-Based Line Color :
Enable Trend-Based Line Color : Toggle to automatically color the projection line based on the trend direction. When enabled, the line will be red for a downward trend and green for an upward trend, providing a visual indication of market direction.
Uptrend Line Color : Select the color for the projection line when the trend is upward. This color will be used when "Enable Trend-Based Line Color" is active.
Downtrend Line Color : Select the color for the projection line when the trend is downward. This color will be used when "Enable Trend-Based Line Color" is active.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Linear Regression Components :
Projection Line Plotting : Automatically draw the linear regression projection line based on historical data and the selected data source.
Label Customization : Customize the label for the projection line, including color and text, for clear identification on the chart.
Alerts for Projection Line : Set alerts for when the price crosses the projection line, ensuring timely notifications of potential trading opportunities.
📘 POC Analysis Integration
Purpose : Identifies the Point of Control (POC) to highlight price levels with the highest trading volume.
Usage : Toggle the display of the POC, customize its appearance, and use enhanced calculations for better market analysis.
Display POC :
Description : Toggle to display or hide the Point of Control (POC) on the chart.
Details : The POC is the price level at which the highest volume of trading occurred, indicating a focal point of market activity.
Data Source :
Description : Select the price source for POC analysis.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the POC.
POC Line Colors :
Color Above POC : Set the line color when the closing price is above the POC.
Color Below POC : Set the line color when the closing price is below the POC.
Width Multiplier :
Description : Adjust the width around the price for POC analysis.
Details : A higher value broadens the calculation range.
POC Calculation and Visualization :
Price Level Initialization : Calculate the initial spacing between price levels based on the first candlestick and user settings.
Volume Data Accumulation : Accumulate volume data at specified price levels for each candlestick to determine the POC.
Dynamic Array Expansion : Expand price levels array to accommodate new price data outside the current range.
POC Determination : Determine and visualize the POC at the last candlestick if enabled by the user.
Alerts and Notifications : Set alerts for when the price crosses the POC, notifying traders of significant market events.
Plotting POC Components :
POC Line Plotting : Automatically draw the POC line based on historical data and the selected data source.
Label Customization : Customize the label for the POC line, including color and text, for clear identification on the chart.
Alerts for POC : Set alerts for when the price crosses the POC, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Divergences Integration
Purpose : Detects and displays divergences between price movements and indicators to identify potential reversal points.
Usage : Toggle the display of divergences, select data sources, customize divergence colors, and use enhanced calculations for better trend analysis.
Display Divergences :
Description : Toggle to display or hide the detected divergences on the chart.
Details : Divergences occur when the price movement of an asset and a related indicator (e.g., volume or momentum) move in opposite directions. They are used to identify potential reversal points in the market. Regular divergences signal possible reversals, while hidden divergences can indicate continuation.
Data Source :
Description : Defines the timeframe from which to fetch data for analysis.
Details : Typically lower than the chart current timeframe for multi-timeframe analysis.
Divergence Colors :
Bearish Divergence Color : Sets the color for bearish divergence lines. Bearish divergences typically suggest potential downward price movement.
Bullish Divergence Color : Sets the color for bullish divergence lines. Bullish divergences typically indicate potential upward price movement.
Pivot Bars :
Left Bars : Number of bars to the left of the pivot point to consider. Helps in identifying the pivot high or low by looking back these many bars.
Right Bars : Number of bars to the right of the pivot point to consider. Assists in confirming a pivot point by ensuring no higher high or lower low is present within this range.
Display Hidden Divergences :
Description : When enabled, this setting reveals hidden divergences on the chart.
Details : Hidden divergences are a subtler form of divergence that often signal continuation rather than reversal. A hidden bullish divergence occurs when price makes a higher low while the indicator makes a lower low, suggesting the continuation of an uptrend. Conversely, a hidden bearish divergence occurs when price makes a lower high while the indicator makes a higher high, indicating the continuation of a downtrend. These divergences are particularly useful for identifying the strength of the current trend.
Dynamic Line Width Based on Divergence Count :
Description : When enabled, adjusts the width of the divergence line dynamically based on the count of divergences detected.
Details : This provides visual emphasis on stronger signals.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Divergence Components :
Divergence Line Plotting : Automatically draw divergence lines based on historical data and the selected data source.
Label Customization : Customize the label for the divergence lines, including color and text, for clear identification on the chart.
Alerts for Divergences : Set alerts for when a divergence is detected, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Average True Range Integration
Purpose : Measures market volatility using the Average True Range (ATR) to assist in identifying potential buy and sell points.
Usage : Set the ATR period, minimum tick filter, upper and lower coefficients, and customize ATR colors for better market analysis.
Show Labels :
Description : Enable or disable the display of labels for the Average True Range (ATR) indicator.
Details : This option controls whether the ATR signals (buy and sell) are shown on the chart with respective labels.
ATR Period :
Description : Sets the period for calculating the Average True Range (ATR).
Details : The ATR measures market volatility by calculating the average range of price movement over a specified period. A shorter period makes the ATR more sensitive to recent price movements, while a longer period smooths out short-term volatility.
Minimum Tick Filter :
Description : Sets the minimum tick filter for buy and sell signals.
Details : This filter ensures that the price movement is significant enough to be considered a valid signal. For example, a value of 20 means that the price must move at least 20 ticks from the open to the close to generate a signal.
Upper Coefficient :
Description : Sets the upper coefficient for band calculation.
Details : This value adjusts the sensitivity of the upper band used to detect high points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
Lower Coefficient :
Description : Sets the lower coefficient for band calculation.
Details : This value adjusts the sensitivity of the lower band used to detect low points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
ATR Colors :
Bullish Color : Sets the color for the bullish signal, helping to visually distinguish bullish trends.
Bearish Color : Sets the color for the bearish signal, helping to visually distinguish bearish trends.
Enhanced Calculations :
Dynamic Coefficient Calculation : Calculates dynamic coefficients based on market volatility, adjusting the sensitivity of ATR bands accordingly.
Band Calculation : Computes high and low bands using dynamic coefficients to detect significant price movements.
High/Low Point Detection : Identifies potential high and low points based on ATR band calculations and price thresholds.
Real-Time Updates : Continuously updates ATR calculations and signals as new data becomes available, ensuring accuracy in real-time.
Plotting ATR Components :
Signal Plotting : Plots bullish and bearish ATR signals on the chart based on calculated conditions.
Label Customization : Customize the labels for ATR signals, including color and text, for clear identification on the chart.
Alerts for Signals : Set alerts for detected bullish and bearish signals, ensuring timely notifications of potential trading opportunities.
📘 Enhanced ATR Visualization Parameters
Purpose : Provides a visual representation of market volatility using the ATR Strength Meter.
Usage : Toggle the display of the ATR Strength Meter, set thresholds, and customize its appearance for better market analysis.
Display ATR Strength Meter :
Description : Toggle to display or hide the ATR Strength Meter, a visual representation of market volatility.
Details : The meter is based on the Average True Range (ATR) and helps identify volatility trends.
High ATR Threshold :
Description : Set the threshold for high volatility.
Details : ATR values above this threshold indicate increased market volatility.
Low ATR Threshold :
Description : Set the threshold for low volatility.
Details : ATR values below this threshold indicate decreased market volatility.
Progression Bar Position :
Description : Select the position of the ATR Strength Meter on the chart.
Details : Options are "Top" or "Bottom", affecting where the volatility meter is displayed relative to price action.
Progress Bar Length :
Description : Set the horizontal length of the ATR Strength progression bar.
Details : Adjust to increase or decrease the bar's width, accommodating different chart sizes and user preferences.
Enhanced Calculations :
ATR Strength Calculation : Calculate the ATR strength to measure market volatility.
Dynamic Coefficients : Use dynamic coefficients based on volatility for more accurate calculations.
Progress Bar Calculation : Determine the position and color of the progression bar based on ATR strength.
Label Positioning : Dynamically position labels for minimum and maximum values to avoid overlap.
Plotting ATR Strength Meter :
Progression Bar Plotting : Plot the progression bar to represent the ATR strength.
Label Customization : Customize labels for the ATR strength, minimum, and maximum values.
📘 Enhanced Relative Strength Index Integration
(A special thanks to RumpyPumpyDumpy for allowing the private reuse of his script.)
Purpose : Measures market momentum using the Relative Strength Index (RSI) and Stochastic RSI to assist in identifying potential buy and sell points.
Usage : Set the RSI and StochRSI parameters, toggle the display of the RSI Meter, and customize its appearance for better market analysis.
RSI Calculation Parameters :
RSI Length : Defines the length of the RSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
RSI Overbought Level : Sets the overbought level for RSI.
Details : Values above this level indicate overbought conditions.
RSI Oversold Level : Sets the oversold level for RSI.
Details : Values below this level indicate oversold conditions.
StochRSI Length : Defines the length of the StochRSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
StochRSI %K Length : Defines the length of the %K line of the StochRSI.
StochRSI %D Length : Defines the length of the %D line (SMA of %K) of the StochRSI.
RSI Visualization Parameters :
Display RSI Meter : Toggle the display of the RSI Meter on the chart.
RSI Meter Size : Adjust the size of the RSI Meter displayed on the chart.
Details : Measured as the diameter of the meter. Increase the value for larger display size, enhancing visibility and making it easier to read the RSI trend at a glance.
Horizontal Offset : Move the RSI Meter horizontally across the chart.
Details : Positive values shift the meter to the left, allowing for placement adjustments relative to the chart's current view or specific visual preferences.
RSI Meter Components :
Sectors and Ticks : Draw sector arcs and tick marks around the RSI Meter to represent different RSI levels and thresholds.
Needle : Draw the needle on the RSI Meter to indicate the current RSI value.
Sector Labels : Label each sector of the RSI Meter to indicate market conditions like "Strong Buy," "Buy," "Neutral," "Sell," and "Strong Sell."
Title Label : Draw the title label for the RSI Meter displaying the RSI value and its period.
Enhanced Calculations :
RSI Calculation : Calculate the RSI using the built-in function with the specified length and source.
StochRSI Calculation : Calculate StochRSI values using the specified lengths for RSI, %K, and %D.
Dynamic Line Management : Efficiently manage and update dynamically created line objects to prevent potential memory leaks.
Optimized Sector and Needle Drawing : Enhanced the drawing functions for sectors, needles, and ticks to improve visual clarity and performance.
Plotting RSI Meter :
Sector Plotting : Draw the sectors on the RSI Meter using specified colors and widths to represent different RSI levels and thresholds.
Needle Plotting : Plot the needle on the RSI Meter based on the calculated RSI value to visually indicate the current RSI level.
Tick Plotting : Plot tick marks around the RSI Meter to denote key RSI levels and thresholds for better readability.
Label Plotting : Draw sector labels and a title label on the RSI Meter to provide context and information about the RSI levels and their corresponding market conditions.
📘 Market Sentiment Integration
Purpose : Analyzes market sentiment using various indicators to provide an overall sentiment score.
Usage : Enable or disable individual sentiment indicators, set account type, and customize sentiment calculations for better market analysis.
Volatility Index (IV) :
Description : Enable or disable the use of the Volatility Index in sentiment calculation.
Details : When enabled, the Volatility Index (IV) provides insight into market sentiment by measuring market volatility. The selected Volatility Index varies based on your TradingView account type.
Account Type :
Description : Select your TradingView account type.
Details : Free accounts use SPX, while Premium accounts use VIX.
Put/Call Ratio (PCR) :
Description : Enable or disable the use of the Put/Call ratio in sentiment calculation.
Details : The Put/Call ratio is a sentiment indicator that measures the volume of put options traded relative to call options, indicating market sentiment towards bearish or bullish expectations.
Fear and Greed Index :
Description : Enable or disable the use of the Fear and Greed Index in sentiment calculation.
Details : The Fear and Greed Index gauges the prevailing emotions in the market, indicating whether investors are inclined towards fear (bearish sentiment) or greed (bullish sentiment).
Momentum Indicators :
Description : Enable or disable the use of momentum indicators like MACD and RoC in sentiment calculation.
Details : Momentum indicators help identify the strength and direction of price movements, assisting in sentiment analysis.
Adaptive Periods for Shorter Timeframes :
Description : Toggle this option to use shorter periods for sentiment indicators when analyzing lower timeframes.
Details : Enabling this option allows for more responsive and sensitive analysis when working with shorter timeframes.
Calculation Details :
Normalization Function : Normalize the values of the indicators over a 252-period range.
Set Periods Function : Set periods based on user preference for faster or slower periods, adjusting the analysis sensitivity.
IV Calculation : Calculate the IV value based on the selected Volatility Index (SPX for Free accounts, VIX for Premium accounts).
Put/Call Ratio Calculation : Calculate the Put/Call ratio using volume data, where put volume is proportional to the trading range, and call volume is proportional to the price change.
RoC Calculation : Calculate the Rate of Change (RoC) as a momentum indicator, measuring the percentage change in closing prices over a specified period.
Dynamic Thresholds : Define dynamic thresholds based on historical data, calculating mean and standard deviation to determine upper and lower thresholds for IV, PCR, and RoC.
📘 Enhanced Market Trend Dashboard Integration
Purpose : Provides a summary of key market indicators and signals in a single dashboard for quick and easy reference.
Usage : Customize the dashboard settings to display relevant market information, including Ichimoku components, Linear Regression, Support/Resistance levels, MACD, RSI, and Market Sentiment.
Market Trend Dashboard Parameters :
Display Market Trend Dashboard : Toggle to show or hide the market trend dashboard, providing a summary of key indicators and signals.
Panel Position : Select the position of the dashboard on the chart for optimal viewing.
Panel Text Size : Choose the text size for the information displayed in the dashboard, ensuring readability.
Panel Background Color : Set the background color of the market trend dashboard, enhancing contrast with the chart.
Ichimoku Dashboard Parameters :
Display Ichimoku Dashboard : Toggle to show or hide the Ichimoku section in the dashboard.
Display Tenkan-Sen Price Cross : Indicate when the price crosses the Tenkan-Sen line, signaling potential trade opportunities.
Display Kijun-Sen Price Cross : Indicate when the price crosses the Kijun-Sen line, often considered a stronger signal than Tenkan-Sen crosses.
Display Chikou Span Price Cross : Indicate Chikou Span price crosses, providing insight into potential trend reversals.
Display Kumo Breakout : Indicate Kumo (cloud) breakouts, which can signify major trend shifts.
Display Kumo Twist : Indicate Kumo twists, suggesting changing market dynamics and potential reversals.
Linear Regression Projection Dashboard Parameters :
Display LR Projection Dashboard : Toggle to show or hide the Linear Regression Projection section in the dashboard.
Display Linear Regression Period : Indicate the period used for Linear Regression Projection analysis.
Display Pearson R Details : Show the Pearson R value in the dashboard, indicating the strength and direction of the correlation in the Linear Regression Projection.
Supports and Resistances Dashboard Parameters :
Display S/R Dashboard : Toggle to show or hide the Support and Resistance section in the dashboard.
Display S/R Break Prices : Show the latest break prices of support and resistance levels in the dashboard.
MACD Dashboard Parameters :
Display MACD Dashboard : Toggle to show or hide the MACD section in the dashboard.
RSI Dashboard Parameters :
Display RSI Dashboard : Toggle to show or hide the Relative Strength Index section in the dashboard.
Display RSI Details : Show the RSI value and status in the dashboard.
Display StochRSI Details : Show the StochRSI %K, %D values and status in the dashboard.
Market Sentiment Dashboard Parameters :
Display Market Sentiment Dashboard : Enable or disable the display of the Market Sentiment Dashboard, which summarizes key market sentiment indicators like Implied Volatility, Put/Call Ratio, and Fear and Greed Index.
Display Implied Volatility Details : Show or hide the Implied Volatility details in the Market Sentiment Dashboard.
Display Put/Call Ratio Details : Show or hide the Put/Call Ratio details in the Market Sentiment Dashboard.
Display Fear and Greed Index Details : Show or hide the Fear and Greed Index details in the Market Sentiment Dashboard.
Enhanced Calculations :
Ichimoku Cloud Trend Calculation : Calculates trend based on the relationship between Ichimoku Cloud components, identifying bullish or bearish trends.
Support and Resistance Break Detection : Detects breaks in support and resistance levels and updates the dashboard accordingly.
Linear Regression Projection Calculation : Calculates Linear Regression Projection and Pearson R value for trend analysis.
MACD Signal Calculation : Determines MACD status based on histogram values.
RSI and StochRSI Calculation : Calculates RSI and StochRSI values and updates their statuses in the dashboard.
Market Sentiment Score Calculation : Calculates overall market sentiment score based on individual sentiment indicators.
Dynamic Alert Management : Manages alerts for various dashboard signals to prevent repeated alerts.
Real-Time Data Integration : Continuously updates the dashboard with real-time data for accurate and current trend analysis.
Plotting Market Trend Dashboard Components :
Ichimoku Components Plotting : Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Kumo cloud with dynamic adjustments.
Support and Resistance Levels Plotting : Plots support and resistance levels and updates them dynamically based on market data.
Linear Regression Projection Plotting : Plots the Linear Regression Projection line and labels with trend-based colors.
MACD and RSI Plotting : Plots MACD and RSI signals on the dashboard, including status updates.
Market Sentiment Indicators Plotting : Plots Market Sentiment indicators like IV, PCR, and Fear and Greed Index with dynamic updates.
Alert Notifications Plotting : Plots alert notifications for significant market changes based on dashboard signals.
Summary
This comprehensive market analyzer integrates multiple technical indicators, including machine learning, Ichimoku Kinkō Hyō, candlestick patterns, Fibonacci retracement, support and resistance levels, trend lines, linear regression, POC analysis, divergences, ATR, RSI, and market sentiment. Each section includes detailed descriptions and usage instructions to help traders understand how to effectively utilize the indicator in their trading strategies.






















