ATR
Price LevelsAuto plots significant Gann and Fib price levels using the all time range. Useful to quickly identify significant levels of support and resistance.
Range-AnalysisMarkets usually tend to stay within a range during a specific time frame (for example first hour of the regular trading session, the whole regular trading session). For traders before initiating a trade it can be helpful to determine the range potential left for the targeted time frame. So they can decide to either try to ride the current trend further or fade the current trend in the case there is no range potential left for the specific time frame. This could be especially helpful for example in the E-Mini S&P future during the first hour.
The script calculates the average range for the last x days of the session defined and plots a line at the expected range extremes based on that average (for example: RangeExtremeHigh would be currentSessionLow+average Range of the last x days.
Any feedback is appreciated.
Supertrend GoldSignalThis indicator is a combination of two atr with numbers 1.6 and 0.8
The signals that are displayed on the chart are the points where both atr signaled at the same time (if distance = 0).
-The atr1 check box is only for displaying atr signals with the number 1.6. You can choose the atr1 number in the slow multiplier section.
-The atr2 check box is only for displaying atr signals with a number of 0.8. You can select the number of atr2 in the fast multiplier section.
-Note: If the atr1 and atr2 checkboxes are off, only simultaneous signals will be displayed on the chart (that is, points where atr1 and atr2 signaled at the same time).
-In the distance section, you can specify the distance between the atr1 and atr2 signals, if it is zero, it means that the atr1 and atr2 signals must be given on the same candle.
For example, if the value of distance is 5, it means that atr1 and atr2 signals can have a distance of 5 candles.
-The filter check box is for filtering signals using boxes 9, 26 and 52 in Ichimoku.
At the points where we have signals, boxes of 9 candles, 26 candles and 52 candles are drawn, and for long signals, the bottom of the boxes must be equal, and for short signals, the top of the boxes must be equal,Signals that do not meet this condition are removed.
6 Multi-Timeframe Supertrend with Heikin Ashi as Source
This is a multiple multi-timeframe version of famous supertrernd only with Heikin Ashi as source. Atr which stands in the heart of supertrend is calculated based on heikin-ashi bars which omits a great deal of noises.
with 6 multiplication of the supertrend, its simply much easier to spot trend direction or use it as trailing stop with several levels available.
this is a great tool to assess and manage your risk and calculate your position volume if you use the heikin ashi supertrend as your stoploss.
SUPER GCOV5 MAPSCALP > MAPPING & SCALPING SUPER GCOV5 MAPSCALP indicator is built specifically for mapping/prediction measurement and fast trading i.e. scalping/intraday in the commodity market or cryptos market. It uses an indicator instrument consisting of ATR TRAILING STOP (ATR), EXPONENTIAL MOVING AVERAGE, PIVOT POINT, FIBONACCI KEY LEVEL, and LINEAR REGRESSION CHANNEL(LRC).
Rebuild of Instrument & Parameter
This indicator is also an upgraded instrument that is sourced from the previous indicator-FUTURES SCALPV2.This R&D of course makes trading activities more effective, and dynamic to increase the confidence of traders in current trading activities. The indicator has been upgraded in terms of parameters as well as additional instruments. Among them are;
1. ATR Trailing Stop
2. ATR BUY/SELL signal
3. Exponential Moving Average(EMA) – fastMA/slowMA Length
5. Breakout/breakdown signal
6. Pivot low/high level
7. Fibonacci extends & retracement
8. Linear Regression Channel(LRC)
9. Alert condition ( a dozen alerts )
> The best timeframe for entry is 3 minutes for FCPO and 15 minutes for other futures & cryptos.
> The best timeframe mapping/prediction is 1 hour & 4 hours.
>The candle/bars have been colored to make it easier for traders to see the price trends whether in bullish or bearish conditions.
Easier SOP of ENTRIES/POSITIONING:
1. entry by signal BUY/SELL after signal bar ( 2nd bar) for confirmation.
2. The best entries BUY at support(pivot low-Blue line) after price rebound then signal appears. The best buy also when the price is at lower
low pivot + fibo support level + lower trendline(LRC) + and the price went rebound.
3. The best entries SELL at resistance(pivot high-red line) after price pullback then signal appears.
The best buy also when the price is at a higher high pivot + fibo resistance level + upper trendline LRC + and the price went pullback.
4. Profit-taking areas are usually measured by support and resistance levels. Please refer to the bold line( support & resistance), fibo key level,
and trendline.
*To avoid false signals/wrong positions, you can use the EMA line as a guide and follow the trends, which are the buying weight when the price is above the 20/50 ema, and the selling weight when the price is below the 20/50 ema. EMA can be reset on the input setting.
STEPS of MAPPING/PROJECTION:
1. Use a bigger timeframe such as 4 hours or 1 hour
2. Use LRC to identify buy/sell weights when the price makes a zig-zag patent
3. Use monthly and weekly fibo levels to know support and resistance. This fibo is very important to see if the price will make an extension or
retracement based on the regression channel earlier. So here we can evaluate which area to buy/sell/take-profit/exit and the reversal of a
market price.
You can also create an ALERT CONDITION to help you get a reminder of signals and price trend changes
The original instrument has been retained but changed in terms of display & facelift features.
Hopefully, the new one will assist you in making analysis and strategy of trading activities successfully.
THIS IS NOT A BUY/SELL CALL, ONLY STUDY IDEAS AND ANALYSIS BASED ON MEASUREMENT TOOLS FOR EDUCATION AND GUIDANCE PURPOSES.PLEASE TAKE AT YOUR OWN RISK.
Normalized Velocity [Loxx]Velocity (which is often called a "smoother momentum" since it is much smoother than momentum without lagging at all) with an addition of ATR normalization
Since velocity is (even when normalization is applied) is not an indicator with fixed bounds, this indicator is uses floating levels for what is usually called overbought and oversold levels (+ a floating "zero" line is added). Something that would look like a "fixed levels" is easily achieved if you use long floating levels period in which case those levels are quite similar to fixed levels.
This indicator can be used like any momentum indicator (in that case recommended coloring mode is to use either slope coloring or "zero" middle level crossing coloring) or it can be used as a "trending" indicator in which case it is better to use coloring on outer level cross, and longer calculation periods are advised in that case.
Included:
Bar coloring
3 signal variations w/ alerts
Loxx's Expanded Source Types
Alerts
SSL + Wave Trend StrategyStrategy incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Based on strategy conditions below
Trade exit:
Based on strategy conditions below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Alerting:
Alerts on LONG and SHORT trade entries
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: SSL Hybrid baseline is BLUE
C2: SSL Channel crosses up (green above red)
C3: Wave Trend crosses up (represented by pink candle body)
C4: Entry candle height is not greater than configured threshold
C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration)
C6: Take Profit target does not touch EMA (represents resistance)
SHORT
C1: SSL Hybrid baseline is RED
C2: SSL Channel crosses down (red above green)
C3: Wave Trend crosses down (represented by orange candle body)
C4: Entry candle height is not greater than configured threshold
C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration)
C6: Take Profit target does not touch EMA (represents support)
Trade exit:
Stop Loss: Size configurable with NNFX ATR multiplier
Take Profit: Calculated from Stop Loss using R:R ratio
Credits
Strategy is based on the YouTube video "This Unique Strategy Made 47% Profit in 2.5 Months " by TradeSmart.
It combines the following indicators to determine trade entry/exit conditions:
Wave Trend: Indicator: WaveTrend Oscillator by @LazyBear
SSL Channel: SSL channel by @ErwinBeckers
SSL Hybrid: SSL Hybrid by @Mihkel00
Keltner Channels: Keltner Channels Bands by @ceyhun
Candle Height: Candle Height in Percentage - Columns by @FreeReveller
NNFX ATR: NNFX ATR by @sueun123
Variety N-Tuple Moving Averages w/ Variety Stepping [Loxx]Variety N-Tuple Moving Averages w/ Variety Stepping is a moving average indicator that allows you to create 1- 30 tuple moving average types; i.e., Double-MA, Triple-MA, Quadruple-MA, Quintuple-MA, ... N-tuple-MA. This version contains 2 different moving average types. For example, using "50" as the depth will give you Quinquagintuple Moving Average. If you'd like to find the name of the moving average type you create with the depth input with this indicator, you can find a list of tuples here: Tuples extrapolated
Due to the coding required to adapt a moving average to fit into this indicator, additional moving average types will be added as they are created to fit into this unique use case. Since this is a work in process, there will be many future updates of this indicator. For now, you can choose from either EMA or RMA.
This indicator is also considered one of the top 10 forex indicators. See details here: forex-station.com
Additionally, this indicator is a computationally faster, more streamlined version of the following indicators with the addition of 6 stepping functions and 6 different bands/channels types.
STD-Stepped, Variety N-Tuple Moving Averages
STD-Stepped, Variety N-Tuple Moving Averages is the standard deviation stepped/filtered indicator of the following indicator
Last but not least, a big shoutout to @lejmer for his help in formulating a looping solution for this streamlined version. this indicator is speedy even at 50 orders deep. You can find his scripts here: www.tradingview.com
How this works
Step 1: Run factorial calculation on the depth value,
Step 2: Calculate weights of nested moving averages
factorial(depth) / (factorial(depth - k) * factorial(k); where depth is the depth and k is the weight position
Examples of coefficient outputs:
6 Depth: 6 15 20 15 6
7 Depth: 7 21 35 35 21 7
8 Depth: 8 28 56 70 56 28 8
9 Depth: 9 36 34 84 126 126 84 36 9
10 Depth: 10 45 120 210 252 210 120 45 10
11 Depth: 11 55 165 330 462 462 330 165 55 11
12 Depth: 12 66 220 495 792 924 792 495 220 66 12
13 Depth: 13 78 286 715 1287 1716 1716 1287 715 286 78 13
Step 3: Apply coefficient to each moving average
For QEMA, which is 5 depth EMA , the calculation is as follows
ema1 = ta. ema ( src , length)
ema2 = ta. ema (ema1, length)
ema3 = ta. ema (ema2, length)
ema4 = ta. ema (ema3, length)
ema5 = ta. ema (ema4, length)
In this new streamlined version, these MA calculations are packed into an array inside loop so Pine doesn't have to keep all possible series information in memory. This is handled with the following code:
temp = array.get(workarr, k + 1) + alpha * (array.get(workarr, k) - array.get(workarr, k + 1))
array.set(workarr, k + 1, temp)
After we pack the array, we apply the coefficients to derive the NTMA:
qema = 5 * ema1 - 10 * ema2 + 10 * ema3 - 5 * ema4 + ema5
Stepping calculations
First off, you can filter by both price and/or MA output. Both price and MA output can be filtered/stepped in their own way. You'll see two selectors in the input settings. Default is ATR ATR. Here's how stepping works in simple terms: if the price/MA output doesn't move by X deviations, then revert to the price/MA output one bar back.
ATR
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.
Standard Deviation
Standard deviation is a statistic that measures the dispersion of a dataset relative to its mean and is calculated as the square root of the variance. The standard deviation is calculated as the square root of variance by determining each data point's deviation relative to the mean. If the data points are further from the mean, there is a higher deviation within the data set; thus, the more spread out the data, the higher the standard deviation.
Adaptive Deviation
By definition, the Standard Deviation (STD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually use it to measure the level of current volatility .
Standard Deviation is based on Simple Moving Average calculation for mean value. This version of standard deviation uses the properties of EMA to calculate what can be called a new type of deviation, and since it is based on EMA , we can call it EMA deviation. And added to that, Perry Kaufman's efficiency ratio is used to make it adaptive (since all EMA type calculations are nearly perfect for adapting).
The difference when compared to standard is significant--not just because of EMA usage, but the efficiency ratio makes it a "bit more logical" in very volatile market conditions.
See how this compares to Standard Devaition here:
Adaptive Deviation
Median Absolute Deviation
The median absolute deviation is a measure of statistical dispersion. Moreover, the MAD is a robust statistic, being more resilient to outliers in a data set than the standard deviation. In the standard deviation, the distances from the mean are squared, so large deviations are weighted more heavily, and thus outliers can heavily influence it. In the MAD, the deviations of a small number of outliers are irrelevant.
Because the MAD is a more robust estimator of scale than the sample variance or standard deviation, it works better with distributions without a mean or variance, such as the Cauchy distribution.
For this indicator, I used a manual recreation of the quantile function in Pine Script. This is so users have a full inside view into how this is calculated.
Efficiency-Ratio Adaptive ATR
Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range
See how this compares to ATR here:
ER-Adaptive ATR
Mean Absolute Deviation
The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between observations and their mean. MAD uses the original units of the data, which simplifies interpretation. Larger values signify that the data points spread out further from the average. Conversely, lower values correspond to data points bunching closer to it. The mean absolute deviation is also known as the mean deviation and average absolute deviation.
This definition of the mean absolute deviation sounds similar to the standard deviation (SD). While both measure variability, they have different calculations. In recent years, some proponents of MAD have suggested that it replace the SD as the primary measure because it is a simpler concept that better fits real life.
For Pine Coders, this is equivalent of using ta.dev()
Bands/Channels
See the information above for how bands/channels are calculated. After the one of the above deviations is calculated, the channels are calculated as output +/- deviation * multiplier
Signals
Green is uptrend, red is downtrend, yellow "L" signal is Long, fuchsia "S" signal is short.
Included:
Alerts
Loxx's Expanded Source Types
Bar coloring
Signals
6 bands/channels types
6 stepping types
Related indicators
3-Pole Super Smoother w/ EMA-Deviation-Corrected Stepping
STD-Stepped Fast Cosine Transform Moving Average
ATR-Stepped PDF MA
STD-Filtered, ATR-Adaptive Laguerre Filter [Loxx]STD-Filtered, ATR-Adaptive Laguerre Filter is a standard Laguerre Filter that is first made ATR-adaptive and the passed through a standard deviation filter. This helps reduce noise and refine the output signal. Can apply the standard deviation filter to the price, signal, both or neither.
What is the Laguerre Filter?
The Laguerre RSI indicator created by John F. Ehlers is described in his book "Cybernetic Analysis for Stocks and Futures". The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation. Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Included:
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
Step Generalized Double DEMA (ATR based) [Loxx]Step Generalized Double DEMA (ATR based) works like a T3 moving average but is less smooth. This is on purpose to catch more signals. The addition of ATR stepped filtering reduces noise while maintaining signal integrity. This one comes via Mr. Tools.
Theory:
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages". The way to calculate is the following :
The Double Exponential Moving Average calculations are based combinations of a single EMA and double EMA into a new EMA:
1. Calculate EMA
2. Calculate Smoothed EMA by applying EMA with the same period to the EMA calculated in the first step
3. Calculate DEMA
DEMA = (2 * EMA) - (Smoothed EMA)
This version:
For our purposes here, we are using Tim Tillson's (the inventor of T3) work, specifically, we are using the GDEMA of GDEMA for calculation (which is the "middle step" of T3 calculation). Since there are no versions showing that "middle step, this version covers that too. The result is smoother than Generalized DEMA, but is less smooth than T3 - one has to do some experimenting in order to find the optimal way to use it, but in any case, since it is "faster" than the T3 (Tim Tillson T3) and still smooth, it looks like a good compromise between speed and smoothness.
Usage:
You can use it as any regular average or you can use the color change of the indicator as a signal.
Included
Alerts
Signals
Bar coloring
Loxx's Expanded Source Types
TTP Kent StratKent Strat trades breakouts using Bollinger Bands together with SuperTrend.
Features:
- Risk/reward ratio parameter
- Longs, shorts and combined positions.
- Breakout settings
- Trailing SL, trailing TP
- Use of latest candles to place the SL using a lookback parameter (how many candles to look back for a low/high price)
- Select your SL between the ATR trendline and the latest candle: the closest or furthest away value
- Show the trendline
- Backtest mode for accurate backtests
- Signal mode for live price accurate signals
- Date range backtesting
Filters:
- EMA 200 filter and timeframe selector. This filter can be used to trade with the trend: open longs on an uptrend and shorts on a downtrend.
- ADX filter using threshold. This filter can be used to filter entries where the trend is not very strong.
- ADX pointing up. ADX values pointing up and above certain threshold can improve entries.
- Relative volume filter based on the volume being X% above the MA of the Volume. Trading with volume can help filtering out bad trades.
Example setup:
1) pick BINANCE:ETHUSDT chart, 15 min chart
2) trade longs + shorts
3) pick ratio 3
4) trailing SL checked
5) trailing TP unchecked
7) stop loss "furthest"
8) candle loopback 30
9) BB period 21, dev 1, ATR filter on, atr period 5
10) EMA filter on, 15 min
11) ADX off
12) Volume filter on set to 60%
Reversal MagictrendThis indicator combine multiple indicator in one pine script : Main indicator is Exponential Moving Average (EMA), Commodity Channel Index (CCI), Average True Range (ATR), Crossover Signal & Alert.
1)
For Exponential Moving Average (EMA) have 5 type :
EMA 7 : Green Color (Transparent)
EMA 21 : Red Color (Transparent)
EMA 34 : Orange Color (Faint)
EMA 50 : Purple Color (Transparent)
EMA 90 : Aqua Color (Faint)
Trendband / Background Color in between EMA line :
EMA 7 Cross up EMA 21 : Green
EMA 7 Cross down EMA 21 : Red
EMA 21 Cross up EMA : Yellow
Crossover Signal :
EMA 7 Cross up EMA 21 = Golden Cross : Blue Diamond
EMA 7 Cross down EMA 21 = Death Cross : Red Diamond
Example :
2)
Commodity Channel Index (CCI) :
Have background color : Green for positive value
CCI Signal = Anchor / Hook
- As a signal of reversal. Strong reversal when appear on weekly chart
Example :
Weekly :
Daily :
I am inspired from : www.tradingview.com
Check out his indicator here :
3)
Average True Range (ATR) as Supertrend
Green (Start) New Start for uptrend
Red (End) New Start for downtrend
Also Add on value for each signal.
Example :
I am inspired from : www.tradingview.com
Check out his Supertrend here :
4)
For this indicator, user have option to turn on / off :
- Previous Signal as a backtest
- Previous Trend as a backtest
- ATR to make chart more clean.
Damiani Volatmeter [loxx]I wasn't going to publish this since it's one my go to private indicators, but I decided to push this out anyway. This is a variation on Damiani Volatmeter to make it easier to understand what's going on. Damiani Volatmeter uses ATR and Standard deviation to tease out ticker volatility so you can better understand when it's the ideal time to trade. The idea here is that you only take trades when volatility is high so this indicator is to be coupled with various other indicators to validate the other indicator's signals. This is also useful for detecting crabbing and chopping markets.
Shoutout to user @xinolia for the DV function used here.
Anything red means that volatility is low. Remember volatility doesn't have a direction. Anything green means volatility high despite the direction of price. The core signal line here is the green and red line that dips below two while threshold lines to "recharge". Maximum recharge happen when the core signal line shows a yellow ping. Soon after one or many yellow pings you should expect a massive upthrust of volatility. The idea here is you don't trade unless volatility is rising or green. This means that the Volatmeter has to dip into the recharge zone, recharge and then spike upward. You can also attempt to buy or sell reversals with confluence indicators when volatility is in the recharge zone, but I wouldn't recommend this. However, if you so choose to do this, then use the following indicator for confluence.
And last reminder, volatility doesn't have a direction ! Red doesn't mean short, and green doesn't mean long, Red means don't trade period regardless of direction long/short, and green means trade no matter the direction long/short. This means you'll have to add an indicator that does show direction such as a mean reversion indicator like Fisher Transform or a Gaussian Filter. You can search my public scripts for various Fisher Transform and Gaussian Filter indicators.
Price-Filtered Spearman Rank Correl. w/ Floating Levels is considered the Mercedes Benz of reversal indcators
How signals work
RV = Rising Volatility
VD = Volatility Dump
Plots
White line is signal
Thick red/green line is the Volatmeter line
The dotted lower lines are the zero line and minimum recharging line
Included
Bar coloring
Alerts
Signals
Related indicators
Variety Moving Average Waddah Attar Explosion (WAE)
Price based ATR%This script shows upto two lines that represent a deviation from the price based on a multiple of the ATR%
close + ( (close / 100) * ( atr * upperMultiplier) )
and
close - ( (close / 100) * ( atr * lowerMultiplier) )
Zero-line Volatility Quality Index (VQI) [Loxx]Originally volatility quality was invented by Thomas Stridsman, and he uses it in combination of two averages.
This version:
This doesn't use averages for trend estimation, but instead uses the slope of the Volatility quality. In order to lessen the number of signals (which can be enormous if the VQ is not filtered), some versions similar to this are using pips filters. This version is using % ATR (Average True Range) instead. The reason for that is that :
Using fixed pips value as a filter will work on one symbol and will not work on another
Changing time frames will render the filter worthless since the ranges of higher time frames are much greater than those at lower time frames, and, when you set your filter on one time frame and then try it on another, it is almost certain that it will have to be adjusted again
Additionally, this version is made to oscillate around zero line (which makes the potential levels, which are even in the original Stridsman's version doubtful, unnecessary)
Usage:
You can use the color change as signals when using this indicator
QG-Trend Pullback StrategyI wanted to test the pullback strategy shown by TradePro and 5 minute scalping channels on the YT.
So here it is, worked on USDCHF pair best and not so much on other forex pairs on 15 min or 5 min charts as shown in strategy.
Entry rules for Long:
Price above EMA200 or G channel as trend filter
Donchian trend ribbon in retracement or red in color
Wavetrend cross below a threshold level below zeroline.
Opposite rules for Shorts.
The SL and TP based on the ATR multiplier and a TP as RR ratio to SL.
Attaching the equity curve on USDCHF 15 min chart where it worked best.
Cumulative ATR Distance Oscillator// A Price/ATR oscillator with cumulative waves.
// Based on Cumulative Volume Delta, but using price movement alone.
// Public Domain
// By Jolly Wizard
ATR VS TRUE RANGEDisplays ATR and True Range on the same panel.
Adjust the input and style settings to your liking.
ATR PercentDisplays daily percentage on the bottom right corner of chart.
Formula:
True Range / ATR * 100
Ichimoku ATR Oscillator// An oscillator that visualizes Ichimoku trend line distances in terms of ATR.
// Public Domain
// By JollyWizard
SKYtrend Bruteforce Open Source✨SKYtrend Bruteforce Now Open Source✨
📌This indicator analyzes the trend and calls Long/Short which is fully custom to fit your style of trading.
📌Custom Take Profit Levels currently have 3 TP levels for Long and Short you can decide which % each TP will be in settings.
📌2 Custom Stoploss levels. For Long or Short. Can Enable or Disable either.
📌Can set alert For Long, Short , TP Long 1-3, TP Short 1-3, SL 1-2
📌Has built in ichimoku cloud
If you like it, like it. :)
KTP ATR , TR and DATR by Mitraj ThakkarThis indicator provides values of ATR, TR and DATR values side by side which makes it easy for user to compare it for current
candle and takes decision. It is not a complete system for trading but it aids in taking decision for entry and exit. for eg. ema crossover is formed for entry, we can take entry 5% of datr above pattern and keep stop loss 10% datr below pattern.
ATR stands for Average true range of last 14 candles.
TR stands for true range of each candle.
DATR stands for Daily Average True Range.
