Cycles: 4x dual inputs: Swing / Time Cycles projected forward//Purpose/Premise:
To project forward vertical 'cycle' lines based on user-input anchor points, and to search for confluence.
The idea being that if several well-anchored cycles agree (i.e. we see multiple bunched vertical line confluence in the future), then this may add support to an already existing trade idea, or may indicate an increased likelihood of a shift in direction.
//Usage & notes:
~In the above chart I've anchored to obvious swing lows and swing highs in Btc/Usd from 2020-2022. You could also use fixed time-based cycles from a favored start anchor point. Bars per cycle are printed at the top of each cycle box if your're interested in time cycles. I.e. for 1, 2, 3 month cycles: for BTC you could use 30, 60, 90 bars on daily; for S&P you could use 20, 40, 60 bars on daily.
~On first loading the indicator you will be asked select 'start date', and 'end date' for each of 4 sessions (8x clicks on chart). After this you can easily reset points by clicking the indicator display line three dots>> reset points. Or you can simply drag the vertical box edges (purple lines) to change your cycle anchor points.
~Be sure the start anchor point is before the end anchor point or box/lines won't appear.
~When you drop down to low timeframes you might get bar_index error due to history available: you need then to click the three dots on indicator display line >> reset points >> 8x clicks on the chart.
~Vertical projected lines will match the color of the cycle box they origninate from.
~Lines will project into the future as far as is allowed by tradingview (500 bars max)
//Inputs:
~Time start and end dates for each cycle (change these as described above, or input manually)
~Show/hide each cycle (default is show all 4)
~Formatting options: color of forward projected lines, line width, line style, line / box / text color.
~Box transparancy: Set to 100 to make boxes invisible & declutter the chart. Set to 0 for maximum opacity. Default is 80.
thanks to @Sathyamurthie for his ideas on cycle confluence which caused me to write this.
Confluence
Volatility-Based Mean Reversion BandsThe Volatility-Based Mean Reversion Bands indicator is a powerful tool designed to identify potential mean reversion trading opportunities based on market volatility. The indicator consists of three lines: the mean line, upper band, and lower band. These bands dynamically adjust based on the average true range (ATR) and act as reference levels for identifying overbought and oversold conditions.
The calculation of the indicator involves several steps. The average true range (ATR) is calculated using a specified lookback period. The ATR measures the market's volatility by considering the range between high and low prices over a given period. The mean line is calculated as a simple moving average (SMA) of the closing prices over the same lookback period. The upper band is derived by adding the product of the ATR and a multiplier to the mean line, while the lower band is derived by subtracting the product of the ATR and the same multiplier from the mean line.
Interpreting the indicator is relatively straightforward. When the price approaches or exceeds the upper band, it suggests that the market is overbought and may be due for a potential reversal to the downside. On the other hand, when the price approaches or falls below the lower band, it indicates that the market is oversold and may be poised for a potential reversal to the upside. Traders can look for opportunities to enter short positions near the upper band and long positions near the lower band, anticipating the price to revert back towards the mean line.
The bar color and background color play a crucial role in visualizing the indicator's signals and market conditions. Lime-colored bars are used when the price is above the upper band, indicating a potential bearish mean reversion signal. Conversely, fuchsia-colored bars are employed when the price is below the lower band, suggesting a potential bullish mean reversion signal. This color scheme helps traders quickly identify the prevailing market condition and potential reversal zones. The background color complements the bar color by providing further context. Lime-colored background indicates a potential bearish condition, while fuchsia-colored background suggests a potential bullish condition. The transparency level of the background color is set to 80% to avoid obscuring the price chart while still providing a visual reference.
To provide additional confirmation for mean reversion setups, the indicator incorporates the option to use the Relative Strength Index (RSI) as a confluence factor. The RSI is a popular momentum oscillator that measures the speed and change of price movements. When enabled, the indicator checks if the RSI is in overbought territory (above 70) or oversold territory (below 30), providing additional confirmation for potential mean reversion setups.
In addition to visual signals, the indicator includes entry arrows above or below the bars to highlight the occurrence of short or long entries. When the price is above the upper band and the confluence condition is met, a fuchsia-colored triangle-up arrow is displayed above the bar, indicating a potential short entry signal. Similarly, when the price is below the lower band and the confluence condition is met, a lime-colored triangle-down arrow is displayed below the bar, indicating a potential long entry signal.
Traders can customize the indicator's parameters according to their trading preferences. The "Lookback Period" determines the number of periods used in calculating the mean line and the average true range (ATR). Adjusting this parameter can affect the sensitivity and responsiveness of the indicator. Smaller values make the indicator more reactive to short-term price movements, while larger values smooth out the indicator and make it less responsive to short-term fluctuations. The "Multiplier" parameter determines the distance between the mean line and the upper/lower bands. Increasing the multiplier widens the bands, indicating a broader range for potential mean reversion opportunities, while decreasing the multiplier narrows the bands, indicating a tighter range for potential mean reversion opportunities.
It's important to note that the Volatility-Based Mean Reversion Bands indicator is not a standalone trading strategy but rather a tool to assist traders in identifying potential mean reversion setups. Traders should consider using additional analysis techniques and risk management strategies to make informed trading decisions. Additionally, the indicator's performance may vary across different market conditions and instruments, so it's advisable to conduct thorough testing and analysis before integrating it into a trading strategy.
Adaptive Mean Reversion IndicatorThe Adaptive Mean Reversion Indicator is a tool for identifying mean reversion trading opportunities in the market. The indicator employs a dynamic approach by adapting its parameters based on the detected market regime, ensuring optimal performance in different market conditions.
To determine the market regime, the indicator utilizes a volatility threshold. By comparing the average true range (ATR) over a 14-period to the specified threshold, it determines whether the market is trending or ranging. This information is crucial as it sets the foundation for parameter optimization.
The parameter optimization process is an essential step in the indicator's calculation. It dynamically adjusts the lookback period and threshold level based on the identified market regime. In trending markets, a longer lookback period and higher threshold level are chosen to capture extended trends. In ranging markets, a shorter lookback period and lower threshold level are used to identify mean reversion opportunities within a narrower price range.
The mean reversion calculation lies at the core of this indicator. It starts with computing the mean value using the simple moving average (SMA) over the selected lookback period. This represents the average price level. The deviation is then determined by calculating the standard deviation of the closing prices over the same lookback period. The upper and lower bands are derived by adding and subtracting the threshold level multiplied by the deviation from the mean, respectively. These bands serve as dynamic levels that define potential overbought and oversold areas.
In real-time, the indicator's adaptability shines through. If the market is trending, the adaptive mean is set to the calculated mean value. The adaptive upper and lower bands are adjusted by scaling the threshold level with a factor of 0.75. This adjustment allows the indicator to be less sensitive to minor price fluctuations during trending periods, providing more robust mean reversion signals. In ranging market conditions, the regular mean, upper band, and lower band are used as they are more suited to capture mean reversion within a confined price range.
The signal generation component of the indicator identifies potential trading opportunities based on the relationship between the current close price and the adaptive upper and lower bands. If the close price is above the adaptive upper band, it suggests a potential short entry opportunity (-1). Conversely, if the close price is below the adaptive lower band, it indicates a potential long entry opportunity (1). When the close price is within the range defined by the adaptive upper and lower bands, no clear trading signal is generated (0).
To further strengthen the quality of signals, the indicator introduces a confluence condition based on the RSI. When the RSI exceeds the threshold levels of 70 or falls below the threshold level of 30, it indicates a strong momentum condition. By incorporating this confluence condition, the indicator ensures that mean reversion signals align with the prevailing market momentum. It reduces the likelihood of false signals and provides traders with added confidence when entering trades.
The indicator offers alert conditions to notify traders of potential trading opportunities. Alert conditions are set to trigger when a potential long entry signal (1) or a potential short entry signal (-1) aligns with the confluence condition. These alerts allow traders to stay informed about favorable mean reversion setups, even when they are not actively monitoring the charts. By leveraging alerts, traders can efficiently manage their time and take advantage of market opportunities.
To enhance visual interpretation, the indicator incorporates background coloration that provides valuable insights into the prevailing market conditions. When the indicator generates a potential short entry signal (-1) that aligns with the confluence condition, the background color is set to lime. This color suggests a bullish trend that is potentially reaching an exhaustion point and about to revert downwards. Similarly, when the indicator generates a potential long entry signal (1) that aligns with the confluence condition, the background color is set to fuchsia. This color represents a bearish trend that is potentially reaching an exhaustion point and about to revert upwards. By employing background coloration, the indicator enables traders to quickly identify market conditions that may offer mean reversion opportunities with a directional bias.
The indicator further enhances visual clarity by incorporating bar coloring that aligns with the prevailing market conditions and signals. When the indicator generates a potential short entry signal (-1) that aligns with the confluence condition, the bar color is set to lime. This color signifies a bullish trend that is potentially reaching an exhaustion point, indicating a high probability of a downward reversion. Conversely, when the indicator generates a potential long entry signal (1) that aligns with the confluence condition, the bar color is set to fuchsia. This color represents a bearish trend that is potentially reaching an exhaustion point, indicating a high probability of an upward reversion. By using distinct bar colors, the indicator provides traders with a clear visual distinction between bullish and bearish trends, facilitating easier identification of mean reversion opportunities within the context of the broader trend.
While the "Adaptive Mean Reversion Indicator" offers a robust framework for identifying mean reversion opportunities, it's important to remember that no indicator is foolproof. Traders should exercise caution and employ risk management strategies. Additionally, it is recommended to use this indicator in conjunction with other technical analysis tools and fundamental factors to make well-informed trading decisions. Regular backtesting and refinement of the indicator's parameters are crucial to ensure its effectiveness in different market conditions.
VWAP Xing D, Prv.D, W, Q, M, & Y + SD [UOI]Introducing the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" Indicator: A Comprehensive, Multi-Timeframe Trading Tool for the Modern Trader
In today's dynamic and fast-paced financial markets, traders require versatile and powerful tools that can help them navigate the complex world of trading. The "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator is designed to be the ultimate, all-in-one solution for traders seeking a comprehensive and robust trading indicator. This cutting-edge tool combines the power of an extensive VWAP library with the versatility of Bollinger Bands, Donchian Channels, standard deviation multi-timeframe analysis, and an auto boxed range identifier, all to provide traders with the crucial insights needed to identify reversals, breakdowns, and breakups.
Offering the magnetic daily, previous day, weekly, monthly, quarterly, and even yearly VWAP levels, this comprehensive library caters to traders with varying time horizons and strategies. Coupled with the precision of Bollinger Bands and Donchian Channels, the indicator allows for accurate tracking of price volatility, enabling traders to make more informed decisions in response to changing market conditions. The integration of multi-timeframe standard deviation analysis further bolsters the indicator's ability to identify potential trading opportunities, ensuring that users can stay ahead of the curve.
Finally, the auto boxed range identifier serves as the cherry on top, automatically detecting critical price levels where reversals, breakdowns, and breakups are most likely to occur. This powerful feature not only helps traders confirm potential entry and exit points but also allows for more effective risk management.
Overall, the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator is a comprehensive, multi-timeframe trading tool that empowers traders with unparalleled insights, precision, and adaptability. Whether you're a seasoned professional or a novice trader, this powerful indicator is a must-have tool for anyone looking to excel in today's competitive financial markets.
Multi-timeframe Volume Weighted Average
First let's define Volume Weighted Average Price (VWAP):
Volume Weighted Average Price (VWAP) is a widely-used technical analysis indicator that calculates the average price of a security, taking into account both price and trading volume. In essence, it represents the average price at which a security has been traded throughout a specified time period, giving more weight to transactions with higher volume.
The VWAP is often used by traders and investors to assess the market's trend and gauge the relative value of a security. It serves as a benchmark for institutional investors, who often use it to evaluate their trading performance and determine whether they are buying or selling at favorable prices.
The formula for calculating VWAP is:
VWAP = (Sum of (Price * Volume)) / Total Volume
By incorporating volume into the calculation, the VWAP provides a more accurate representation of a security's true average price, as it takes into consideration the impact of larger trades on the price. This makes it a valuable tool for traders seeking to make more informed decisions in the market and avoid getting caught in unfavorable trading positions.
VWAP is a crucial indicator that provides insights into the average price at which a financial asset, such as a stock or cryptocurrency, has been traded throughout a specific period. It takes into consideration the volume of trades executed at each price level during that period. The VWAP lines included in the " VWAP Xing D, Prv. D, W, Q, M, & Y" indicator offer various timeframe perspectives, allowing traders to analyze different levels of market trends and behaviors.
Here's a detailed explanation of the VWAP lines and their significance:
1. Daily VWAP (D): The daily VWAP line represents the average price at which the asset has been traded throughout the current trading day. It resets at the beginning of each trading session. Traders often use the daily VWAP as a reference point to gauge the fairness of their trade executions relative to the prevailing market prices. Price deviations from the daily VWAP can indicate shifts in market sentiment and potential trading opportunities.
2. Previous Day VWAP (Prv.D): The previous day VWAP line reflects the average price at which the asset was traded during the preceding trading day. It helps traders assess the continuity or deviation of the current day's price action relative to the previous day's trading activity. Traders often observe the previous day VWAP for insights into potential support or resistance levels and to identify whether the current day's price is trading above or below the previous day's average price.
3. Weekly VWAP (W): The weekly VWAP line calculates the average price of the asset over the entire week, taking into account the volume traded at each price level. Traders use the weekly VWAP to gain a broader perspective on the asset's price movement and potential trend directions. It can act as a significant support or resistance level, especially when the price interacts with the weekly VWAP.
4. Monthly VWAP (M): The monthly VWAP line provides a longer-term perspective by averaging the asset's price and volume data over the entire month. It helps traders identify key price levels that are significant within the monthly timeframe. Traders often observe the monthly VWAP to assess the overall trend and to determine whether the current price is trading above or below the monthly average.
5. Quarterly VWAP (Q): The quarterly VWAP line calculates the average price and volume data over a three-month period, representing a longer-term view of market activity. Traders use the quarterly VWAP to identify significant price levels and to analyze the broader trend within the quarterly timeframe. Deviations from the quarterly VWAP can indicate potential shifts in market sentiment and trading opportunities.
6. Yearly VWAP (Y): The yearly VWAP line represents the average price and volume data over the course of a year. It offers a comprehensive long-term perspective on the asset's price behavior and trend. Traders often consider the yearly VWAP as a key reference point for assessing the asset's overall performance and identifying major support or resistance levels.
By observing the VWAP lines, traders can gain insights into the prevailing market sentiment, potential support or resistance levels, and deviations from average prices. These deviations can be useful for identifying potential trading opportunities, such as when the price significantly deviates from the VWAP lines, suggesting potential overbought or oversold conditions. Additionally, VWAP can serve as a benchmark for evaluating trade executions and assessing the fair value of an asset.
It's important to note that while VWAP is a valuable tool, it should be used in conjunction with other technical analysis indicators and strategies to make informed trading decisions. Traders should consider factors like market context, trend analysis, and risk management principles to validate signals and confirm potential trading opportunities.
Bollinger Bands and Donchian Channels
In addition to VWAP this indicator also has combined the power of Bollinger Bands and Donchian Channels to produce a solid framework. The time frame by default is set to 30 min which is good for intraday trading but you can also change that in the setting to always use chart time frame intervals which works better on longer time frames.
IMPORTANT: You can change the time frame to always use chart or keep the default on 30 min or change it to another timeframe manually. If you allow the chart to always provide the intervals then the default 30 min will be ineffective and it automatically adjust to chart timeframe. Personally I think a fixed timeframe work better so keep in that way if you trade on 30 min or lower time frame.
Bollinger Bands and Donchian Channels are two popular technical analysis tools that provide valuable insights into price volatility, potential breakout levels, and support/resistance areas. When used in combination, they offer a comprehensive framework for analyzing market conditions and identifying trading opportunities.
Bollinger Bands: Bollinger Bands consist of two lines plotted above and below a moving average, typically a simple moving average (SMA). The upper band is calculated by adding the standard deviation of price multiplied by a customizable standard deviation factor to the SMA. The lower band is calculated by subtracting the standard deviation multiplied by the same factor from the SMA. The key features of Bollinger Bands are as follows:
1. Volatility Measurement: Bollinger Bands expand and contract based on market volatility. When the bands widen, it indicates higher volatility, and when they narrow, it suggests lower volatility. Traders can observe the width of the bands to gauge the potential for price movements and volatility expansions.
2. Overbought/Oversold Levels: Bollinger Bands can help identify overbought and oversold conditions in the market. When the price reaches or exceeds the upper band, it may indicate that the asset is overbought and due for a potential reversal or pullback. Conversely, when the price reaches or falls below the lower band, it may suggest oversold conditions and a possible bounce or reversal.
Donchian Channels: Donchian Channels consist of two lines representing the highest high and lowest low within a specified period. The key characteristics of Donchian Channels are as follows:
1. Breakout Levels: The upper line of the Donchian Channel represents the highest high within the specified period, while the lower line represents the lowest low. Traders often use Donchian Channels to identify potential breakout levels. When the price breaks above the upper channel line, it may indicate a bullish breakout and the potential for further upward momentum. Conversely, a break below the lower channel line suggests a bearish breakout and the possibility of downward momentum.
2. Support/Resistance Areas: Donchian Channels also act as dynamic support and resistance levels. The upper channel line can act as a resistance level where the price may encounter selling pressure. The lower channel line can act as a support level where the price may find buying interest. Traders can monitor price interactions with these levels to make informed trading decisions.
Advantages of Using Bollinger Bands and Donchian Channels Together: By combining Bollinger Bands and Donchian Channels, traders can gain a more comprehensive view of market conditions and potential trading opportunities. Here are some advantages of using them together:
1. Volatility Confirmation: Bollinger Bands help identify periods of high or low volatility, while Donchian Channels confirm breakouts and potential trend changes. When the bands widen and a breakout occurs above or below the Donchian Channels, it can provide confirmation of increased volatility and the start of a new trend.
2. Price Extremes and Breakouts: Bollinger Bands assist in identifying overbought and oversold conditions, while Donchian Channels help pinpoint breakout levels. When price reaches an extreme level according to Bollinger Bands and coincides with a breakout from the Donchian Channels, it can signal a significant trading opportunity.
3. Support/Resistance Validation: Donchian Channels act as dynamic support and resistance levels, and Bollinger Bands can validate these levels. When price bounces off the upper or lower Bollinger Band near a Donchian Channel level, it provides additional confirmation of the support or resistance area.
4. Risk Management: The combination of Bollinger Bands and Donchian Channels enables traders to set more precise stop-loss levels and define risk. They can place stop-loss orders beyond the support or resistance levels identified.
Standard Deviation
Standard deviation bands by default are disabled but you can easily enable them in the setting. The 1 standard deviation bands are made invisible by default to avoid a crowded space. You can reduce the transparency to view them.
In intraday trading, the Daily VWAP (Volume Weighted Average Price) with 3 standard deviations is a powerful tool that helps traders gauge price movements and potential trading opportunities. Here's how it works and why it is useful:
1. Calculation of Daily VWAP: The Daily VWAP is the average price at which a security has traded throughout the trading day, weighted by the volume of each trade. It provides a measure of the average price that traders have paid for the asset during the day.
2. Standard Deviation: Standard deviation is a statistical measure that quantifies the dispersion or variability of prices around the Daily VWAP. It gives an indication of how much prices deviate from the average. A higher standard deviation suggests greater price volatility.
3. Three Standard Deviations: By adding and subtracting three times the standard deviation from the Daily VWAP, you create bands that represent the potential price range within which the majority of intraday trading activity is expected to occur. These bands act as potential support and resistance levels and help traders identify price extremes.
4. Price Reversals: When the intraday price extends beyond the upper or lower band (three standard deviations), it suggests an overextended move or potential price reversal. Traders interpret this as an opportunity to enter or exit trades. If the price moves beyond the upper band, it may indicate overbought conditions and a possible reversal to the downside. Conversely, if the price moves below the lower band, it may signal oversold conditions and a potential reversal to the upside.
5. Volatility and Breakouts: Intraday traders often look for volatility and breakout opportunities. The three standard deviation bands on the Daily VWAP provide valuable information about price volatility. When the price breaks out of the bands, it suggests a significant increase in volatility and potential opportunities for intraday traders to take advantage of strong momentum moves.
6. Risk Management: The three standard deviation bands help traders define their risk and set stop-loss orders. By placing stop-loss orders outside the bands, traders can protect their positions in case the price moves beyond the expected range. This risk management technique allows traders to limit their potential losses and preserve capital.
7. Confirmation with Other Indicators: Intraday traders often use the three standard deviation bands on the Daily VWAP in conjunction with other technical indicators or chart patterns to strengthen their trading decisions. The bands can validate other signals or provide additional confirmation before entering or exiting a trade.
Overall, the Daily VWAP with three standard deviations is a valuable tool for intraday traders as it helps identify price extremes, potential reversals, volatility, and breakout opportunities. By incorporating this indicator into their trading strategies, traders can make more informed decisions and enhance their intraday trading performance.
Auto Boxed Range Detector
The true innovation in the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator lies in the integration of the sophisticated 'Auto Boxed Range Detector.' This feature serves as the cornerstone of the tool's enhanced functionality, shedding light on critical price ranges to give traders a distinct advantage when identifying potential breakouts or breakdowns.
Meticulously designed with the needs of traders in mind, the Auto Boxed Range Detector automates the process of pinpointing trading ranges, resulting in increased precision and swiftness in your decision-making. By automating this crucial aspect of technical analysis, traders can now focus on other essential factors, ultimately maximizing their trading efficiency.
Furthermore, the Auto Boxed Range Detector helps traders avoid falling prey to false breakouts. By identifying the top of the boxed range in relation to resistance levels, users can more accurately predict the likelihood of a breakout. For instance, if the top of the boxed range is situated near a resistance line, the chances of a breakout are diminished unless the market is experiencing a trend day.
In essence, the Auto Boxed Range Detector not only streamlines the identification of trading ranges but also provides invaluable insights into the validity of potential breakouts or breakdowns. This innovative feature makes the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator an indispensable tool for traders seeking to capitalize on opportunities while minimizing risk in today's fast-paced financial markets.
Once you get used to this tool it will be an integral part of your trading.
matrix on chartthis indicator uses several tools to provide detailed and accurate information across various time frames about the overall trend of the market it also shows the strength of the current move in the top confirmation bar it does this by showing both the direction and how much chop there is in the market simultaneously in the 4 colour bright green being a trend with no chop dark green is a bullish trend where chop is occurring, dark red is a bearish trend where chop is occurring and bright red is a bearish trend where no chop is occurring to make this even more evident these 4 confirmation bar colours are also drawn onto the candles as triangles above and below the candle when they are in the no chop zone and as dim squares above and below the candles when the chop is occurring. also at the top of the screen you will find occasional + symbols these are an additional confirmation on whether the market is bullish or bearish .
moving down to where the candles are on the chart you will find 3 lines inside of the trend flow this is a modified Williams alligator which can be used in conjunction with the other tools as a base line to hold the system together. this indicator also plots your higher highs, lower lows etc and plots where you've broken through them with a little X above or below the candle that broke through this can help you see at a quick glance if a support or resistance point has been broken. the other way of showing potential support and resistance is with the Fibonacci retracement tool that is automatically drawn onto the chart so you can help find those optimal turning points for continuing on a trend. lastly on the charts you will notice little flag icons these are designed to be little floating take profits with the idea that when a flag appears you should take partials if not the whole position off the table and wait for another entry or for other movement to occur
SME Backtesting [TFO]This strategy script is an extension of my Smart Money Essentials (SME) indicator and aims to provide a simplified means of backtesting complex trade models that incorporate a variety of Smart Money Concepts.
Among other things, Smart Money Essentials contains logic for:
- Market structure
- Fair Value Gaps
- Order Blocks
- Breaker Blocks
- Optimal Trade Entries
- HTF Market Structure
The Confluence section can then be utilized to build and test trade models from any combination of the included factors. As a basic example, we could test a strategy that only utilizes market structure. With Manual Exit turned off, we would simply be flipping long on bullish market structure shifts, and reversing short on bearish market structure shifts for the duration of the user-defined session.
As one might expect, such a simple strategy isn't expected to produce very reliable results by itself. However, we could build on these ideas by adding extra layers of Confluence, like looking for entries where Market Structure aligns with Order Block interactions. We could also turn on Manual Exit with a 40 tick stop loss and 80 tick profit target (10 points and 20 points, respectively, for ES futures), for more defined exit criteria.
One could expand on these ideas by adding factors like Fair Value Gaps, HTF Market Structure, etc. Any of the core pieces of SME can be used to build and backtest strategies that would otherwise be extremely tedious to do by hand, and as the SME indicator grows, so too will this backtesting script. Ultimately, the purpose of this is to make Smart Money Concepts more objective and easily testable so that users may better understand where these concepts may perform best.
Price Legs & Fib Projections: Fibonacci Confluence-Plots price legs based on two user input lookback numbers. Smaller number for small legs, larger number for large legs.
-Plots Fib projections of these price legs, above and below; User can input four independent fib levels or standard deviation levels
## User Inputs ##
~Show visible chart only; Show price leg labels (time and price); show small legs (fibs and/or boxes); show large legs (fibs and/or boxes)
~Input 4 Fibonacci levels or measured move levels. Toggle each level on/off
~toggle on/off Fib levels ABOVE or fib levels BELOW
~extend Fib levels 'X' bars to the right, or toggle on/off 'Full Extend' to the right
## Tips & Notes ##
-use 'Full Extend' together with 'visible chart only' if searching for multiple confluence of Fib levels.
-can quickly get very cluttered, but the aim in writing this was to try to find area of confluence at a glance amongst a mess of levels, then hide the indicator and study/note that area.
-if lines don't print toward the left hand side of the chart you've likely reached the max line limit set by Tradingview.
-Fib level input of 1.0 represents zero % extension above the high or below the low of the leg; 2.0 represents 100% extension.
1hr S&P: Visible chart only; large legs only; 50%, 100%, 150%, 200% Fib extensions; Above only; lines extended fully to the right:
Usage notes; 15m S&P: Small & Large price legs; partial extend; all fib levels above/below:
Smart Money Essentials [TFO]This indicator utilizes “Smart Money Concepts” like liquidity, order blocks, premium & discount, and more to analyze price action.
What’s included in the initial release:
Market Structure
Liquidity
Displacement
Order Blocks
Premium / Discount
Confluence Table
Alerts
Market structure logic objectively identifies whether the current trend is bullish or bearish, based on swing highs and lows. Liquidity levels offer insight into major pivots where we can assume many traders may place their stop loss, which can also serve as areas where “Smart Money” may be accumulating or distributing positions.
Displacement adds to this by spotting rapid price movement, often accompanied by imbalances where price may come back to before continuing in the direction of the displacement. These can be filtered based on whether the imbalance is accompanied by a Break of Structure (BOS) or Market Structure Shift (MSS), which may give additional insight into the draw on liquidity.
Order blocks (OB’s) are detected and treated as areas that may offer support for price in an uptrend or resistance in a downtrend. Premium and discount zones are essentially fitted by an “auto-fib” retracement that looks at recent liquidity levels, and optionally offers areas to look for an Optimal Trade Entry (OTE) where price retraces between 62-79% of the preceding displacement leg.
The confluence table provides an organized place to visualize and identify where any of the above concepts may be present at or around the same time. We can implement a threshold where, if the number of selected factors meets or exceeds this threshold, we can potentially identify bullish and bearish opportunities where multiple layers of confluence are overlapping.
And of course, alerts are built in for all significant events related to the above concepts, for example: runs on liquidity, BOS and MSS, rejections from OB and OTE, etc.
RSI + GDAX EMA ConfluencerHighly customizable RSI + GDAX EMA tool to help you quickly spot levels of confluence
- Displays current RSI levels as a plot
- Displays current 12 + 26 EMA as a plot
- 7 customizable time frames
- Each time frame marks RSI oversold, RSI overbought, 12 EMA, and 26 EMA as a line with label
- Each time frame RSI and EMA have options to toggle visibility and oversold/overbought only so you can choose exactly what you want to see
Planned for future release:
- Further customization for lines (color, size, direction, etc)
- Further customization for labels (location, offset, color, size, etc)
- Highlighting areas of confluence (if 2-3+ lines are within a certain % of each other)
Dynamic ADX - [The Pine Guru]Dynamic ADX by The Pine Guru
What is the Dynamic ADX?
The Dynamic ADX is an indicator created using the regular ADX, Line, and additional ADX Moving Average. This MA allows the script to calculate the ADX differently to the original ADX, providing greater input and accessibility to the user. As the ADX is a volatility indicator, it is communicates to trend strength in the markets. The Dynamic ADX displays these trending Periods through user controlled visualizers like Fills, Background Color, and Bar Color.
How do I use the Dynamic ADX?
This indicator has 4 different "versions" or "conditions" in which it displays trend strength. These are achieved by checking and unchecking ADX, ADX MA and Line. Different combinations of these 3 inputs will result in a change of true condition that the script outputs.
Dynamic ADX Achieved by checking the ADX and ADX MA, results in an ADX similar to an MA Crossover, with the ADX being over the MA indicating a true or strong trend condition.
Regular ADX Achieved by Checking the ADX and Line. Results in the regular calculation of the ADX.
Mixture Achieved by Checking all three sections, which results in the calculation a normal ADX as well as the MA. Provides and extra condition or confluence into the ADX.
MA and Line Achieved by checking the ADX MA and Line. Results in a similar calculation to an original ADX but with a smoother MA.
Recommendations
This indicator will work typically in all markets with high volume and volatility. It is recommended that it is used as a confluence in a trading system, and not as an outright indicator. As always do your own testing before live use with this indicator. Do your own Research and refinements.
Please Leave a like if you enjoy this Indicator
Triple ThreatThis indicator provides buy and sell signals for Bitcoin based on confluence from well-known momentum, volatility, and trend indicators. It has successfully captured the major directional trends on Bitcoin's daily chart since 2018, and the settings are currently optimized for this chart in particular. This indicator implements RSI to gauge momentum, BBWP to gauge volatility, and an EMA to gauge trend. Maximum confluence signals are represented by horizontal bars in the indicator's pane, where the tallest green bar is a confirmed buy signal, and the tallest red bar is a confirmed sell signal. The shortest bar represents a momentum-only signal, and the second-shortest bar represents a volatility signal in confluence with the previously given momentum signal.
To track momentum, the RSI is plotted to the indicator plane against a moving average of the RSI. A momentum signal is generated when the RSI crosses over its moving average, retests/approaches the moving average, and then continues in the crossover direction (i.e., it fails to cross the moving average to the opposite side, creating a successful retest). The settings that affect this trigger are the "Crossover Threshold," which specifies how much the RSI should exceed the moving average to be considered a crossover, and the "Retest threshold," which specifies how closely the RSI should approach the moving average to be considered a retest. A momentum signal is ALSO generated if the RSI or its moving average exceed their counterpart by a certain threshold. For example, if the threshold was set at 10, a BUY signal would be generated when the RSI exceeds the moving average by 10, or a SELL signal would be generated when the moving average exceeds the RSI by 10. This threshold can be set using the "Instant Signal Threshold" setting. Either type of momentum signal will be plotted on the pane as the shortest horizontal bar, with its color indicating the signal's direction.
Volatility is primarily measured using the Bollinger Band Width Percentile (BBWP) indicator, which was created by The_Caretaker. BBWP plots the volatility of the asset's price, given by Bollinger Band width, relative to past volatility by assigning the volatility readings into percentiles. The indicator also includes a moving average of the BBWP itself, where a crossover to the upside represents expanding volatility and a crossover to the downside represents contracting volatility. This indicator is used to confirm a signal given by the momentum indicators - a momentum signal that is given during a period of expanding volatility has a greater likelihood of success. Therefore, when the BBWP crosses above its moving average by a given threshold, a previously triggered momentum signal is considered to be "confirmed." The threshold for this crossover can be set using the "BBWP Confirmation Threshold" setting. However, it is also relevant that periods of extreme volatility often accompany an extremity in price action (a "top" or "bottom"), in which case the BBWP is likely to contract after price reaches such an extremity. This phenomenon is captured by also using "extreme reads" on the momentum indicator to signal that there has already been enough volatility to confirm a momentum signal. If the RSI gives an "extreme read" before triggering a signal, the momentum signal is also considered to be confirmed. For example, if the RSI is above 80, breaks below 80, and then gives a SELL signal, this sell signal is considered to be confirmed without requiring the BBWP to crossover its moving average to the upside. The threshold that would confirm a SELL signal can be set with the "Overbought" setting, and the threshold that would confirm a BUY signal can be set with the "Oversold" setting. Whenever a volatility signal confirms a momentum signal, a medium-sized horizontal bar will be plotted on the pane in the same directional color as the momentum signal. Note that a momentum signal may trigger at the exact same time as the volatility signal which confirms it; in this case, only the medium-sized bar will be visible on the pane, but its direction can still be identified by its color.
Lastly, to reduce the likelihood of "false signals," a trend indicator is used to confirm the direction of the signal. This is typically an exponential moving average. If a confirmed volatility SELL signal is given, and the closing price is below the moving average, then the SELL signal is also confirmed by the trend. Likewise, if a confirmed volatility BUY signal is given, and the closing price is above the moving average, then the BUY signal is confirmed by the trend. The type and length of the moving average used to verify the trend can be set using the "Moving Average Type" and "Moving Average Length" settings found below the momentum/volatility settings. A trend signal is plotted on the pane as a tall horizontal bar, and is more deeply colored than the momentum and volatility signals.
For maximum confluence, it is recommended that the trend signal, given by the tallest bar, is the one that forms the basis of trades executed while using the Triple Threat indicator. It is possible to enter more aggressive trades with better entries by using only the volatility signal, given by the medium-sized bar, however this entails greater risk and should only be done in confluence with an additional trading strategy of your own discretion. Backtesting has shown that using the volatility signal alone underperforms using the volatility signal in confluence with the trend signal.
Please also be advised that the default setting are optimized for Bitcoin's daily chart only. The indicator is still applicable to other timeframes and asset classes, but the settings may need to be modified. I have a list of settings for other Bitcoin timeframes, and I would be happy to share them upon request.
I hope you can find this indicator to be of some use to your trading strategies. I'd be happy to hear any feedback from the community, so please don't hesitate to reach out. Stay safe, and happy trading.
Logarithmic MACD ©KGRThis is a logarithmic MACD that comes with several advantages over the standard MACD.
Benefits: L MACD ©KGR vs Standard MACD
Normalized over longer time periods: LMACD: Yes - standard: No
Visual cues for tops: LMACD: Yes - standard: No
Visual cues for bottoms: LMACD: Yes - standard: No
Visual cues for crossing bull/bear LMACD: Yes - standard: No
Automatic divergence indicators LMACD: Yes - standard: No
Aligns with the total KGR suite highlighting confluence: LMACD: Yes - standard: No
KG Research focuses on developing crypto and general macro indicators.
Please like, follow and share to show your appreciation and support.
the KG Research team.
TWP Higher Timeframe Pivot Points█ OVERVIEW
This script displays the nearest support and resistance fibonacci pivot point levels from the higher reference timeframes -- weekly, monthly, and yearly levels. When trading it is always been helpful for me to be aware of significant price levels of the players participating on larger timeframes. HTF pivot points are a great tool for finding confluence and/or gaining extra conviction on your trades. This is a companion tool to be used in conjunction with the Standard Fibonacci Pivot Points .
█ CONCEPTS
Pivot points are a technical indicator / calculation that can be used to determine the overall trend of the market or determine the level that price may face support or resistance. At the same time it can lead to confirmation of the overall trend when price travels through support or resistance lines continuously.
The pivot point is the average of the high, low, and closing price of the previous time window - Day, Week, Month, Year.
The going belief is that if price is trading above the pivot point (P) then there is a bullish sentiment and trading below the pivot point (P) is a bearish sentiment.
Pivot points can be calculated a multitude of ways but the way I am using it here is using the fibonacci method. See the calculations below.
Note: Tooltips are added for each lines label that display the calculation used.
Default Ratios + Matching Labels:
pivot point = (high + low + close) / 3
support lines = pivot - (prevhigh - prevlow) * 0.236
resistance lines = pivot - (prevhigh - prevlow) * 0.236
38.2% - S1/R1
61.8% - S2/R2
100% - S3/R3
Additional (Mid) Ratios + Matching Labels:
23.6% - SA/RA
50% - SB /RB
76.4% - SC / RC
127.2% - S4/R4
141.4% - S5/R5
161.8% - S6/R6
200% - S7/R7
█ FEATURES
1 — Line Extension - Left, Right, Both, None
2 — Pivot Levels for Week, Month, and Year Pivot Points
• Show line
• Show label
• Line color
• Line style
█ HOW TO USE
• As mentioned earlier it best used along with the Standard Fibonacci Pivot Points to find levels of potential confluence where you believe may be key support, resistance, or a potential inflection point in price action.
█ LIMITATIONS
• Depending on the chart and the amount of data it naturally pulls back, the yearly fibonacci pivot point levels may not show
• Pivot points may be found useful for some and not for others
• There is no assurance that price will stop at, reverse, or reach a specific pivot level
Standard Fibonacci Pivot PointsPivot points are probably one of the greatest leading indicator for any and all asset classes, used since the advent of the public/private markets, granted it uses previous days data, it is an awesome leading indicator that produces guide rails for future trading periods. This project was born out of the necessity to have the additional fibonacci levels and to have pivot point for the current day to appear for pre and post market hours. The latter inspiration was later added by the TV team at my request and it was greatly appreciated.
This tool can be handy in any trading process from short-long term trades or timeframes, multiple timeframe analysis, trend trades, swing trades, position trades, and momentum trades.
The tool can also be a great addition to any part of your processes especially if you are looking for instances of confluences on higher or lower timeframes.
"Pivot points are a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several support (S) and resistance (R) levels." - TV Help Center
We have found the Fibonacci levels to be more respected/self-fulfilling than other versions of the pivot point indicator. (Find example in code notes below)
Note: (If you all love the flexibility of this code then we will be happy to replicate it using the other pivot point formulas. Just drop us a private message.)
TV has a great default version of the indicator but it lacks dynamism . (The compile time is relatively similar to the default indicator also)
Some of the features that we loved from the default we have been able to carry over after many many difficult iterations :
-- Showing historical pivots (probably the most difficult feature add up until some recent pine script features additions)
-- Automatic pivot timeframe creation...meaning for appropriate pivot lines populate for daily, weekly, monthly, and yearly timeframe periods
-- Labels that do not lay on top of the lines as labels normally do
By dynamism we are referring to the following abilities/features:
-- Ability for the next day's pivot to populate before the next market open (pivots populate when the market time changes over to the next day)
-- Ability to turn on/off every support and/or resistance line...sometime you just want to see the resistance levels if it is an up kind of day
-- Ability to have the support/resistance lines to be different colors
-- Ability to change what the pivot point itself if based on
-- The additional fibonacci ratios
Default Ratios + Matching Labels:
38.2% - S1/R1
61.8% - S2/R2
100% - S3/R3
Additional (Mid) Ratios + Matching Labels:
23.6% - SA/RA
50% - SB/RB
76.4% - SC/RC
127.2% - S4/R4
141.4% - S5/R5
161.8% - S6/R6
200% - S7/R7
Code Notes and Insight:
pivot point = (high + low + close) / 3
support lines = pivot - (prevhigh - prevlow) * 0.236
resistance lines = pivot - (prevhigh - prevlow) * 0.236
The high, low and close is based on the indicator resolution which by default is set too auto due to smaller timeframes not being able to pull back enough data at time when attempting to show multiple periods of pivots.
The increased resolution is determined by the following parameters (similar to the default TV indicator):
-- for intraday resolutions up to and including 15 min, DAY (1D) is used
-- for intraday resolutions 26m, 30m, and 1H then WEEK (1W) is used
-- for 3H, 4H and daily resolutions MONTH (1M) is used
-- for weekly and monthly resolutions, 12-MONTH (12M) is used
-- Tooltips have been added on the labels as subtle references in case you forget what a specific level's formula is
-- Remember to set your changes as default in the input menu after changing the colors of lines or default populated levels
-- Number of pivots back has been limited to 20 given that indicators are only able to populate 500 lines and labels but 20 historical periods should be more than enough for sufficient use
---------
Past performance is not indicative of future performance.
Please PM us to obtain access to any of our indicators.
Please PM or comment if you run into any bugs within your use or any questions about functionality.
Key Levels CustomTF + Backtest: SpacemanBTCKey Levels Backtest, same logic as the key levels script, provide levels based:
High, Low, Mid and Close.
This was requested, took a long time to post as I fell sick and was given a lot of Dev Work.
Hope this helps those who use it, very useful to see liquidity grabs in my opinion.
Input time in minutes!
Result of a user request.
(CoInS) Confluence of Indicators and Signals v2 skvConfluence of Indicators and Signals (CoInS) v2 skv
This time best of pivots and oscillators came to confluence to guide traders for better decision making to trade. Remember practice makes profit.
This script created for educational purpose for learners want to observe/study the indicators and its signals. Indicators HMA, SMA, Super Trend, MACD, BB, ADX/DMI/DMS, RSI, Elder Impulse and Pivots CPR, Camarilla, Floor, SQR are used in this script and the display of them controlled through the indicator settings. Values are tuned and can't be changed. Only the current day values will be displayed.
Observe the signals and reversal points at pivots or moving average lines. The bright green up triangles and bright orange down triangles indicates momentum, the faded triangles indicates the momentum is getting weak.
At start of the day, this script indicates whether today is trending or not trending for the scrip.
The SQR pivot points will move as per the trend and indicate the resistance and support level at that time. The color crosses informs that the change occurred throughout the day.
The signals generated by this study are not recommendation and use it on your own discretion after keenly observing each and every details.
Pivots
Pivot Boss CPR with width
Pivot Boss Camarilla
Pivot Boss Floor pivots
Simple and amazing SQR pivots
Displays signals from,
RSI signals
HMA signals
Super Trend
MACD (cross and histogram signals)
Elder Impulse
ADX/DMI/DMS and BB for Momentum
I'm thankful to trading view, various pine coders and authors contributing here and building wealth of knowledge.
*****Remember: Practice makes Profits*****
Disclaimer
1. Only for educational and learning purpose
2. For Intraday and scalping strategies and 5 and 15 min TF only
3. Do paper trade before using any information for actual trading
4. Not swing or positional trade
5. Use it on your own discretion and no one else responsible for the profit/loss except you
Confluence of Indicators and Signals v1 skvWhy this script
This script will display the buy or sell signals received from indicators, super trend, adx, rsi, macd, sma, and floor pivots along with some tweaked calculations and fixed numbers. This is useful for beginners who want to study the signals and timing to practice. This script is created for educational purpose and can be used for intraday scalping with 5 minutes time frame only after the signals are understood clearly.
How to use
Strong Buy - when series of buy/long signals generated by indicators, bright green up arrow indicates momentum/strength
Strong Sell - when series of sell/short signals generated by indicators, bright orange down arrow indicates momentum/strength
Exits - use the pivot lines, or the RSI-LX, SX exit signals. Also combine with Bollinger Bands to understand the exit points.
Look for reversals at pivot resistance and support.
Disclaimer
1. Only for educational purpose
2. Intraday scalping strategies only and on 5 min timeframe
3. Do paper trade before using any information for actual trading
4. Not swing or positional trade
TRUE Vibration 2.0True Vibration was designed as a Comprehensive Trading Tool for active traders.
All Markets and all assets constantly chop on all time frames. No asset is exempt from this.
Our goal in trading is (should be) to utilize Technical Analysis in order to identify what the masses are likely thinking and to identify when and where they are likely wrong (or trapped). Generally speaking, the masses tend to do well during trends and they tend to perform terribly at inflection points. I designed this tool in an effort to help Traders better identify these areas in both TRENDING and RANGING markets.
There is a lot happening in this oscillator (by design). The key outputs provided through the oscillator include:
-Identification of Market Structure (Rule #1 of trading & yet it is also the first thing most traders forget)
-Potential Pivots for Longs and Shorts
-A simple Trend identification feature
-A bursting feature for areas showing confluence which often leads to bigger moves
-Multiple variations of unique momentum indicators
-Divergence on the momentum indicator
and much more...
"A tool is only as good as its user". What many will find is that the more time they invest in learning the intricacies of this tool the better they will become at using it and receiving benefits from it. Intro and instruction video(s) will be made available to give users a head start on the learning curve with this tool.
Automatic Risk to Reward PivotsIn a nutshell I was tired of guestimating what my risk was between pivots when getting into trades I went to work on the basic math behind the relationship of the pivots to find their natural risk to reward ratios.
The natural risk to rewards span high and low...for example...you can go from the S3 --> R3 and that R:R is with a stop loss of the S4 is 7.4
But making all of those possibilities in code is excessive and for simplicity sake I price can only be between two pivot areas at any point in time.
So this auto risk to reward is limited to the 2:1 opportunities. If you by chance do the math for all of the possibilities as I have then it would be easy to change the Take Profit levels.
I use the fibonacci pivot points in this indicator but I include the mid levels and further extensions totaling 20 levels, 21 including the pivot.
Here they are...the generic plots are bolded...the additional levels are the other fib levels
R7 - 200%
R6 - 162%
R5 - 141%
R4 - 127%
R3 - 100%
R-C - 76%
R2 - 62%
R-B - 50%
R1 - 38%
R-A - 24%
Pivot
S-A - (24%)
S1 - (38%)
S-B - (50%)
S2 - (62%)
S-C - (76%)
S3 - (100%)
S4 - (127%)
S5 - (141%)
S6 - (162%)
S7 - (200%)
The indicator give you the setups for uptrends and downtrends based on the pivot point moving averages (ex. ema(hlc3, 34)) from a higher timeframe which you will be free to change yourself in the inputs.
For my setup, I trade from the daily pivots using the 10m or 5m chart so my next level up is the weekly pivots which I view using the 1H chart candles.
In the next iterations I will add the ability to change the MA lengths.
Pivot Point Moving average lengths
Weekly lengths - fast 34 : slow 55
Monthly lengths - fast 13 : slow 34
Yearly lengths - fast 13 : slow 34
Rules for Uptrends
Fast MA > Slow MA
Session high < r6
Rules for Downtrends
Fast MA < Slow MA
Session high > s6
Timeframes applicable are only those who have a higher pivot set above it
Monthly_SR = 240m, 300m, D
Weekly_SR = 26m, 30m, 60m
Daily_SR = 1m, 3m, 5m, 10m, 15m
Your take profit line will always populate where your risk will be 2:1
Your stop loss will always be one pivot level underneath or above your entry
Feel free to ask any questions. Trade well my friends!
All LinesThe objective of this script is to try to display as many overlay indicators as possible simultaneously while keeping the clutter to a minimum.
--Included are Indicators are--
sma 20 50 100 200
ema 20 50 100 200
High/Low
Bollinger bands upper/lower
Pivot points PP R1 R2 R3 S1 S2 S3
-- For Time periods --
Hour,Day,Week
--- How To Use --
Switch it on when looking for likely support or resistance areas to plot your trade.
The more lines that overlay each other indicate even greater support/resistance at that point
meaning if the price is going down it may bounce up at this area or if the price is going up it may bounce down.
Also the more visible the line the more strength it has to effect the price. This value can be edited in settings by adjusting the power value for each indicator as it can often depend on what you are trading.
--Tips--
If you want to know what the line represents hover your cursor over the dot at the end of the line and a tool tip will appear.
If there are to many circles zoom in the price more to separate them and try to hover again.
Bitcoin Correlated Market DirectionIdentifies which major market is "controlling" Bitcoin and what direction that market is moving in.
Helps to identify confluence of trend or potential turning points for Bitcoin.
Blue = stocks in control and bullish
Purple = stocks in control and bearish
Orange = gold in control and bullish
Red = gold in control and bearish
MFI RSI Confluence [Mr_Orange]This script uses both MFI and RSI to create a buy or sell signal. At the moment it is used for scalping on the 15m timeframe.
Oversold and Overbought conditions are adjustable.
For a sell signal, at the moment the RSI and MFI need to be overbought and the RSI needs to drop.
For a buy signal, at the moment the RSI and MFI need to be oversold
future update will contain extra confirmation by making the rise and drop of the RSI and MFI taken into the calculation.
Ichimoku ++ public v0.9Description:
The intention of this script is to build/provide a kind of work station / work bench for analysing markets and especially Bitcoin . Another goal is to get maximum market information while maintaining a good chart overview. A chart overloaded with indicators is useless because it obscures the view of the chart as the most important indicator. The chart should be clear and market structure should be easy to see. In addition, some indicator signals can be activated to better assess the quality of signals from the past. The chart environment or the chart context is important for the quality of a signal.
The intention of this script is not to teach someone how to trade or how to use these Indicators but to provide a tool to analyse markets better and to help to draw conclusions of market behaviour in a higher quality.
A general advise:
Use the included indicators and signals in a confluent way to get stoploss, buy and sell entry points. SR clusters can be identified for use in conjunction with fractals as entry and exit pints. My other scripts can also help. Prefer 4 hours, daily and a longer time frame. There is no "Holy Grail" :).
If someone is new to trading you should learn about the indicators first. Definitely learn about Ichimoku Cloud Indicator.
Integrated indicators are:
Ichimoku Cloud and signals
Parabolic SAR and signal
ATR stop
Bollinger Bands
EMA / SMA and background color as signal
Williams Fractals and signal
Puell Multiple signal
Automatic Fibonacci Pivot Point S/R LevelsThis is a great tool to find confluences between Fibonacci Pivot point on various time frames.
Fib Pivots used
23.6%
38.2%
50%
61.8%
76.4%
100%
127.2%
141.4%
161.8%
200%
If price is between two levels on the update the lines shift
Yearly Pivots shown on 1m - Daily timeframes
PIvots recalculate on every day
Monthly pivots show on 1m - 60m timeframes
Pivots recalculate every hour
Weekly pivots show on 1m - 15m timeframes
Pivots recalculate every 30m
There is a lot of code but it got the job done.
It would easy to interchange if you prefer different types of pivots
It would be easy to add an on/off if you dont want so many levels on your smaller time frames
If anyone can streamline it please do























