Volume+This volume indicator uses a long WMA to establish an average volume and calculates the standard deviation based on that average. Each deviation level from 1 to 3 is also plotted with the bar color gradually increasing in intensity when more than one standard deviation is exceeded.
Average
Stock Data Table█ OVERVIEW
This is a table that shows some information about stocks. It is divided into four sections:
1) Correlation
2) Shares
3) Daily Data
4) Extended Session Data
The table is completely modular, which means you can add or remove each element from the settings menu, and it will automatically rearrange its spaces.
It is also highly customizable, to the extent that you can change almost any color, remove or change titles, invert section rows, and much more.
1) Correlation
The script checks if the stock is listed on NASDAQ, and if so, uses the QQQ (Nasdaq-100 ETF) as the reference index in the first cell; otherwise, it uses the SPY (S&P 500 ETF). The length of the correlation is shown in the second cell. The table then displays the correlation between the reference index and the other index, and the correlation between the reference index and the stock.
To make it easier to interpret the correlation values, each row's last cell is color-coded with a gradient to highlight the type of correlation, and the direction of the gradient can be customized.
The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, indicating how changes in one variable are associated with changes in the other variable, so it can be used to identify patterns and trends.
If you are interested in correlation, I suggest taking a look at my dedicated indicator:
2) Shares
This feature provides you with quick access to key information about shares and market capitalization.
On one row, you can view the total shares outstanding and the market capitalization for the fiscal year or the quarterly year. The total shares outstanding represents the total number of shares of the stock that have been issued and are currently outstanding, regardless of whether they are held by insiders or public investors. The market capitalization is a widely used measure of the company's value as determined by the stock market, calculated by multiplying its current stock price with the total number of outstanding shares.
The other row shows the float, which is the number of shares of a company that are available for public trading, and the corresponding free-float market cap, calculated by multiplying the company's current stock price with the float. Because Pine Script does not allow retrieving information about quarterly year float, you can view the float and the free-float market cap of the fiscal year only. The data can be displayed at all times or only when the difference between the total shares outstanding and the float is significant enough to result in a difference between the market cap and free-float market cap.
The classification for market cap and free-float market cap is set in this way:
Mega Cap: $200 billion or more
Large Cap: between $10 billion and $200 billion
Mid Cap: between $2 billion and $10 billion
Small Cap: between $300 million and $2 billion
Micro Cap: less than $300 million
Penny Stocks: less than $5 (customizable)
Comparing the free-float market cap to the market cap can provide insights into the liquidity of a stock. In fact, if the float is relatively small compared to the total shares outstanding, it may be more difficult to find buyers or sellers, which could lead to increased volatility. On the other hand, a larger float indicates that the stock is more liquid and may be easier to trade, potentially resulting in lower volatility. However, market conditions can change quickly and significantly, especially for intraday traders, and the free-float can also change as insiders or other large shareholders buy or sell shares. Therefore, comparing the data of the fiscal year with that of the quarterly year may not provide the most up-to-date and accurate information for making trading decisions. This limitation can be mitigated by combining those data with other indicators and tools, such as technical analysis or news events, to gain a better understand of the stock's performance and potential trading opportunities.
3) Daily Data
This section is available on daily charts only due to the lack of accuracy of real-time daily data on other time frames. Here, you can view the Average Daily Volume (ADV) over a preferred time range (20 days by default), and the Daily Change, which represents the percentage difference between the closing price on two consecutive trading days.
ADV is useful in measuring the stock's volatility, as it provides an indication of how much trading activity there is in it. Generally speaking, stocks with higher trading volume tend to be less volatile than stocks with lower trading volume. High trading volume means there are more buyers and sellers actively trading the stock, which makes it easier for investors to buy and sell shares at fair prices. This increased liquidity can help to stabilize the stock price, reducing the potential for large swings in either direction. On the other hand, stocks with lower trading volume may experience greater volatility, as there are fewer buyers and sellers actively trading the stock. This can result in larger price swings, as it may be more difficult for investors to buy or sell shares at fair prices.
The daily percentage change can provide an indication of the stock's volatility, with larger values indicating greater volatility and risk. It can also be compared to that of a benchmark such an index or other stocks in the same sector, helping to determine whether the stock is outperforming or underperforming relative to them.
4) Extended Session Data
The fourth section is available on intraday charts only. This section provides two pieces of information: the Extended Session Change and the Pre-Market Volume.
The Extended Session Change indicates the percentage difference between the previous day's closing price and the latest price in the extended session. This gives you the extent and the direction of the price gap that occurred during extended trading hours.
The Pre-Market Volume shows the sum of all shares traded during the pre-market session. This can be helpful in understanding how much interest the stock gained before the market opened.
By default, the two rows will be visible at all times. They will stop updating after the end of their respective time range, and resume updating when it starts again. However, you can choose to automatically hide them outside of their time ranges.
Both the extended session and pre-market time ranges can be customized. Please note that if you select time ranges outside of the regular market session (as set by default), you must enable the extended session to view the corresponding rows.
█ GENERAL NOTES
• Total Shares Outstanding, Float, Average Daily Volume and Pre-Market Volume cells use a customizable color system based on two thresholds, to help you quickly identify whether the value is "too low/acceptable/too high" or "too low/not enough high/acceptable".
• If you cannot see certain data, that simply means it is not available.
10yr, 20yr, 30yr Averages: Month/Month % Change; SeasonalityCalculates 10yr, 20yr and 30yr averages for month/month % change
~shows seasonal tendencies in assets (best in commodities). In above chart: August is a seasonally bullish month for Gold: All the averages agree. And January is the most seasonally bullish month.
~averages represent current month/previous month. i.e. Jan22 average % change represents whole of jan22 / whole of dec21
~designed for daily timeframe only: I found calling monthly data too buggy to work with, and I thought weekly basis may be less precise (though it would certainly reduce calculation time!)
~choose input year, and see the previous 10yrs of monthly % change readings, and previous 10yrs Average, 20yr Average, 30yr Average for the respective month. Labels table is always anchored to input year.
~user inputs: colors | label sizes | decimal places | source expression for averages | year | show/hide various sections
~multi-yr averges always print, i.e if only 10yrs history => 10yr Av = 20yr Av = 30yr Av. 'History Available' label helps here.
Based on my previously publised script: "Month/Month Percentage % Change, Historical; Seasonal Tendency"
Publishing this as seperate indicator because:
~significantly slower to load (around 13 seconds)
~non-premium users may not have the historical bars available to use 20yr or 30yr averages =>> prefer the lite/speedier version
~~tips~~
~after loading, touch the new right scale; then can drag the table as you like and seperate it from price chart
##Debugging/tweaking##
Comment-in the block at the end:
~test/verifify specific array elements elements.
~see the script calculation/load time
~~other ideas ~~
~could tweak the array.slice values in lines 313 - 355 to show the last 3 consecutive 10yr averages instead (i.e. change 0, 10 | 0,20 | 0, 30 to 0, 10 | 10, 20 | 20,30)
~add 40yr average by adding another block to each of the array functions, and tweaking the respective labels after line 313 (though this would likely add another 5 seconds to the load time)
~use alternative method for getting obtaining multi-year values from individual month elements. I used array.avg. You could try array.median, array.mode, array.variance, array.max, array.min (lines 313-355)
Premium Linear Regression - The Quant ScienceThis script calculates the average deviation of the source data from the linear regression. When used with the indicator, it can plot the data line and display various pieces of information, including the maximum average dispersion around the linear regression.
The code includes various user configurations, allowing for the specification of the start and end dates of the period for which to calculate linear regression, the length of the period to use for the calculation, and the data source to use.
The indicator is designed for multi-timeframe use and to facilitate analysis for traders who use regression models in their analysis. It displays a green linear regression line when the price is above the line and a red line when the price is below. The indicator also highlights areas of dispersion around the regression using circles, with bullish areas shown in green and bearish areas shown in red.
Quantitative Price Forecasting - The Quant ScienceThis script is a quantitative price forecasting indicator that forecasts price changes for a given asset.
The model aims to forecast future prices by analyzing past data within a selected time period. Mathematical probability is used to calculate whether starting from time X can lead to reaching prices Y1 and Y2. In this context, X represents the current selected time period, Y1 represents the selected percentage decrease, and Y2 represents the selected percentage increase. The probabilities are estimated using the simple average.
The simple average is displayed on the chart, showing in red the periods where the price is below the average and in green the periods where the price is above the average.
This powerful tool not only provides forecasts of future prices but also calculates the distribution of variations around the average. It then takes this information and creates an estimate of the average price variation around the simple average.
Using a mean-reverting logic, buying and selling opportunities are highlighted.
We recommend turning off the display of bars on your chart for a better experience when using this indicator.
Unlock the full potential of your trading strategy with our powerful indicator. By analyzing past price data, it provides accurate forecasts and calculates the probability of reaching specific price targets. Its mean-reverting logic highlights buying and selling opportunities, while the simple moving average displayed on the chart shows periods where the price is above or below the average. Additionally, it estimates the average variation of price around the simple average, giving you valuable insights into price movements. Don't miss out on this valuable tool that can take your trading to the next level
Fibonacci Step IndicatorThe Fibonacci Step Indicator assumes irregularity in calculating a moving average. It is measured as the mean of the previous lows and highs situated at Fibonacci past periods. For example, the mean of the lows from 2, 3, 5, 8, etc. periods ago form the Fibonacci step indicator.
The indicator uses the formula for the first twelve Fibonacci numbers on highs and lows so that it creates a moving support/resistance zone. Afterwards, the zone is stabilized by taking the highest highs of the upper indicator and the lowest lows of the lower indicator part.
The indicator is used as a trend following way. It can be compared to the Ichimoku Kinko Hyo cloud (without the future projection). The zone form a support and resistance area. During ranging periods, the market will fluctuate within the area which is a bad time to follow the trend (if any).
ATR Oscillator - Index (Average True range Oscillator)The purpose of converting the ATR value indicator to an oscillator;
It is known that the ATR value is not between the two specified values. So it is not compressed between 0 and 100 like RSI and %B etc. Therefore, conditions such as "A condition if ATR value is X, B condition if ATR value is Y" cannot be created. In order to create these conditions, the max and min value range of the ATR value must be determined. This indicator converts the ATR values into a percentage number according to the maximum and minimum ATR values in the period you will choose. Max value is 100, min value is 0. The considered ATR value, on the other hand, corresponds to the % of the difference between the max and min value in the selected period.
In this way, conditions such as "If the ATR Oscillator value is greater than 10 or 20 or 30" can now be created, or the value of another indicator can be calculated based on the ATR Oscillator value. For example; Let's say we want the standard deviation of BBand to change according to the value of the ATR Oscillator. If BBand Standard Deviation is 3 if ATRO value is 100, BBand Standard Deviation is 2 if ATRO value is 0, and BBand Standard Deviation is 2.5 when ATRO value is 50;
We can encode it as BBand_Std_Dev=((ATRO*0.01)+2 )
If the ATRO value is between .... and ...., you can make improvements such as plot color X.
Anchored VWAP BandSimple script to anchor vwap to a drag and drop spot on the chart and display it as a band instead of a line.
the AVAP Band displays:
1. The AVWAP using High as the source
2. The AVWAP using OHLC4 as the source
3. The AVWAP using Low as the source
This is just a different way of visualising VWAP from an anchored point in time (Band vs Line)
Correlated ATR MA | AdulariHow do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
When the price is above the moving average this shows the bullish trend is strong.
When the price is below the moving average this shows the bearish trend is strong.
When the moving average is purple, the trend is bullish, when it is gray, the trend is bearish.
Features:
Purple line for bullish trend and gray line for bearish trend.
Custom formula combining an ATR and Hull MA to clearly indicate trend strength and direction.
Unique approach to moving averages by taking the average of 3 types of MA's combined with custom ATR's.
How does it work?
1 — ATR value is calculated, then the correlation between the source and ATR is calculated.
2 — Signal value is calculated from the difference between the previous source and ATR values.
3 — Final value is being calculated using the following formula:
cor * target + (1 - cor) * nz(atr , target)
4 — Moving average is calculated by getting the average of 3 values: a normal HMA, HMA plus final value, and HMA minus final value.
Smooth EMA/DEMA/TEMA/EHMA (SEMA)This is my attempt at smoothing the exponential moving average any its cousins. I literally just smoothed the source and alpha and this is what we got. I really like this because you get a nice smooth yet fast acting moving average that works better than a traditional simple moving average. This script also included directional alerts.
Smooth EMA
Smooth DEMA
Smooth TEMA
Smooth EHMA
10 MAs Alpha Indicator by MontyThis indicator is a part of the script I coded earlier this month.
The name is to surprise one of our discord member.
I will publish that indicator in a few days as well, but publishing this as a gesture of giving back to the community.
Indicator has:
10 Moving Averages
Adjustable Color, Opacity and Size etc
Shows Labels for each of the MA.
Can be shifted between EMA or SMA
Can be fixed to show a specific TF MA on current Timeframe.
Oscillating Length Moving Averages***CREDIT TO TradingView's TA Library*** (), Attempted to use "import TradingView/ta/4" to import the library, but for whatever reason
some of the functions failed to work, while others had no issue, so I opted to just copy paste what I wanted to use.
This moving average uses an oscillator to influence the length used during calculation. Extremely customizable/tunable with ability to change Max and Min length values, length multiplier, length multiple,4 different settings ,( Decline , <>Peak, >Decline , <>Peak, ><Trough
step6:Select Final Filtering method
step7:plot
ATR & APCAverage True Range (ATR) and Average Price Change (APC). Shows the ATR and APC as well as the TR and PC for the current bar, colour coded to indicate very large/small bars. The ATR and APC are also colour coded to reflect whether they are increasing or decreasing. Style will need to be customized.
Sw1tchFX - Average Daily RangeDESCRIPTION AND OVERVIEW
The Average Daily Range is a measure of volatility (typically across 5 days for the FX markets). I originally saw this being used in a trading system called ANTSSYS by Daryll Guppy and some other developers. I couldn't find it anywhere so I decided to build it from scratch.
What this does is allow you to measure volatility across various FX assets (I will apply other asset classes in the future that this is applicable to i.e. Crypto, Commodities, Blue Chip Stocks), and set realistic targets based off that volatility. Overall, this makes much more sense to me in the FX markets rather than support and resistance lines because it's based off the actual movement of the asset class. Market research shows that an asset class has a 80-85% chance to reach 75% of it's Average Daily Range (ADR).
Let's take a look at the daily ADR on the GBPNZD 15m chart. Notice how the values of the ADR act as real support and resistance based off the volatility of the asset. In this case, price did not quite reach the 75% ADR target.
Let's take a look at another example on EURNZD 15m chart. In this case, price hit the 75% target.
It's important to note that these levels do not bound the price. The probability that price exceeds it's 75% ADR is fairly low, but not impossible. Especially during important news events. Let's look at the recent USDCHF 15m chart for example.
Additionally, you can use these values to measure longer term movements (Weekly, and Monthly)
Here is a weekly view:
And a monthly view:
HOW I USE THIS
I use this in conjunction with some other indicators I've developed. Typically, I use range bars since I only care about price, not time. Additionally, averages are smoother when time is not taken into account and only price.
HOW THE CANDLE OPEN AND CLOSE IS CALCULATED
This is done based off of your own specific time zone and from the daily candle. So for me on PST, the daily candle will close at 1400. Once closed, a new ADR value is automatically calculated and added to the chart. There is an option to show past ADR values if you would like to see them or conduct additional research.
ATR+ Advanced Sessions ATR for DaterangeATR+ Advanced Sessions ATR for Daterange
The ATR+ adds the following additional filters to the stock ATR indicator by Tradingview:
- Calculates the overall average ATR for a user defined daterange, optionally filtered by trading session and selected weekdays, presented as a secondary line over the standard ATR line.
- Basic ATR line, with colour highlight to indicate the selected sessions, days and timeframe being calculated by the average ATR+ line.
- Average ATR+ line indicating the average of all ATRs within the defined timeframe, optionally filtered by instances of a selected trading session and selected weekdays.
- Customisable appearance.
- The ATR+ also includes the basic ATR configuration options typically found in the standard ATR by Tradingview, including period length and smoothing type. Defaults are set to the factory standards: 14 length, RMA smoothing type.
What Is the Average True Range (ATR)?
The ATR is a technical analysis tool that measures market volatility by decomposing the entire range asset price for that period. Investopedia describes the ATR as follows:
"The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges."
For more information on the ATR and its calculations and use cases, see here:
Investopedia link here.
Tradingview link here.
Note
The indicator may time out if the number of bars being calculated is too long. If this happens, you will need to reduce the datetime range, or increase the chart timeframe in order to reduce the number of bars being calculated and the indicator will attempt to recalculate.
Williams Fractals + SMMAwilliams fractail + smoothed moving average. moving average. williams fractails with moving average , williams fractails + MA, smma
HL-AverageThis script extracts the highest price "ta.highest" and lowest price "ta.lowest" over a period of time, obtains the average value "array.avg" and plots it on a chart. At the same time, it also plots high and low prices, so you can use the volatility over a period of time and its center point as a reference for trading. The pine code is as simple as possible, so there is no difficulty. You can also change the period. We sincerely hope that this script will help you in your trading.
Volume Weighted Exponential Moving AverageThis is a volume weighted exponential moving average. uses exponential weighting and considers volume in the consideration of the average price. This makes for a more accurate "average" than a standard moving average.
Multiple Daily SMA EMA on Intra 1min 5min 15min ChartsThis script is helping you auto plot daily SMA EMA and extensions when you are looking at intraday charts. The script is customizable where user can select which ever levels they are interested in viewing. These daily lines act as support and resistance levels for intraday
The green line represent 20 EMA Daily
The yellow line represent 50 SMA Daily
The olive line represent 200 SMA Daily
The red line is upper Bollinger Band Daily
The black line is lower Bollinger Band Daily
To help you understand which lines are what I would recommend you add this indicator and select "D" timeframe and then see which lines you would like to view for your 1min chart or 5 min chart you can customize from the setting options which plot color you would like to view.
Reverse Ehler Instantaneous Trendline - TraderHalaiThis script uses a reverse function of the famous Ehler Instantaneous Trendline to calculate the source price required in order to change from Bullish to bearish
From my analysis, the reverse price does appear to be rather choppy, though it is 100% accurate. This is because Ehler's Instantaneous Trendline tends to remain trending for longer periods of time with above average hold periods.
The main suitability for this would be higher level timeframes, such as Weekly, 5 daily, 3 daily. From my findings Smoothed Heikin Ashi Trend, tends to provide better risk-adjusted returns across most timeframes (Higher return to drawdown ratio)
As I have spent a bit of time getting the reverse function mathematics to work, I decided to publish this as open source for the benefit, scrutiny and for further development by the TradingView community anyways.
Enjoy!
Average Daily Range (ADR) (Multi Timeframe, Multi Period)Average Daily Range (ADR)
(Multi Timeframe, Multi Period, Extended Levels)
Tips
• Narrow Zones are an indication of breakouts. It can be a very tight range as well.
• Wider Zones can be Sideways or Volatile.
What is this Indicator?
• This is Average Daily Range (ADR) Zones or Pivots.
• This have Multi Timeframe, Multi Period (Up to 3 Levels) and Extended Target Levels.
Advantages of this Indicator
• This is a Leading indicator, not Dynamic or Repaint.
• Helps to identify the reversal points.
• The levels are more accurate and not like the old formulas.
• Can practically follow the Buy Low and Sell High principle.
• Helps to keep minimum Stop Loss.
Who to use?
• Highly beneficial for Day Traders
• It can be used for Swing and Positions as well.
What timeframe to use?
• Any timeframe.
When to use?
• Any market conditions.
How to use?
Entry
• Long entry when the Price reach at or closer to the Green Support zone.
• Long entry when the Price retrace to the Red Resistance zone.
• Short entry when the Price reach at or closer to the Red Resistance zone.
• Short entry when the Price retrace to the Green Support zone.
• Long or Short at the Pivot line.
Exit
• Use past ADR levels as targets.
• Or use the Target levels in the indicator for breakouts.
• Use the Pivot line as target.
• Use Support or Resistance Zones as targets in reversal method.
What are the Lines?
Gray Line:
• It the day Open or can be considered as Pivot.
Red & Green ADR Zones:
• Red Zone is Resistance.
• Green Zone is Support.
• Mostly price can reverse from this Zones.
• Multiple Red and Green Lines forms a Zone.
• These lines are average levels of past days which helps to figure out the maximum and minimum price range that can be moved in that day.
• The default number of days are 5, 7 and 14. This can be customized.
Red & Green Target Lines:
• These are Target levels.
What are the Labels?
• First Number: Price of that level.
• Numbers in (): Percentage change and Change of price from LTP (Last Traded Price) to that Level.
General Tips
• It is good if Stock trend is same as that of the Index trend.
• Lots of indicators creates lots of confusion.
• Keep the chart simple and clean.
• Buy Low and Sell High.
• Master averages or 50%.
Mark MinerviniHi everyone,
Just sharing a script that I made when I began to be interested in Mark Minervini, Wiliam O'Neil, Nicolas Darvas,.. trading style.
This script displays :
- 10 EMA (orange)
- 20 EMA (blue light)
- 50 SMA (blue)
-150 SMA (green)
-200 SMA (red)
- Shows when the stock is "extended" from EMA10 to high of the candle (Works in Daily, you can adjust the % to make it match with the stock's volatility)
(Shows a red area between price and 10 EMA)
- Shows when Mark Minervini's trend template is respected by highlighting green between 150 & 200 SMA.
I Although added bollinger bands and 5 EMA for very strong stocks. (I never use them)
Have fun
Average Price LineThis was published in substitute of the original AVG price line that was already implemented into TradingVIew.
Get the average price in the desired range you want.
Carrey's Velocity and AccelerationThis is initially based on the MA Speed indicator from TradeStation () and expanded upon greatly. This implements 3 different variable MAs and calculates and plots both speed and acceleration of each. Also, a single line composite option is included for both speed and acceleration that changes color based on directional confluence of each MA's speed/acceleration. Additionally, optional labels are included to show where the 3 MAs are clustered, and a volatile move is expected, and where they are more distributed, expecting a temporary reversal.
The additional acceleration concept comes from kinematics in physics. Utilizing time-based derivatives, we can calculate the velocity and acceleration of the moving averages, which can help us identify momentum of price action and locate reversals sooner.
