Spinn ATR targetNot quite the usual approach to plotting targets on the chart, where the price will come with a given probability.
The indicator draws targets by studying the ATR of the target timeframe. More precisely, this is not exactly an ATR - the price move is taken from the closing price of the previous bar and is calculated both up and down separately.
The settings specify the percentage used to calculate the price move, at which the specified percentage of bars reached this price move in the past.
Simply put, if we set 50% in the settings, this means that a line will be drawn at the level at which the price reached this level in 50% of cases over a given period.
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Не совсем обычный подход к построению целей на графике, куда цена придет с заданной вероятностью.
Индикатор рисует цели, изучая ATR целевого таймфрейма. Точнее, это не совсем ATR - ход цены берется от цены закрытия предыдущего бара и считается отдельно как вверх, так и вниз.
В настройках задается процент, исходя из которого вычисляется ход цены, при котором заданный процент баров достигал этого хода цены ранее.
Проще говоря, если мы задаем в настройках 50%, то это означает, что будет построена линия на том уровне, на котором цена в 50% случаев за заданный период достигала этого уровня.
Cari dalam skrip untuk "ATR"
IR% - Intraday Range (% or $)Shows the percentage difference between the High and Low of the price bar expressed as a percent of the Open of that bar. In the settings, you can change to Price Change instead of percent change. This will show the price change between the High and Low for each price bar.
It can be used on any time frame.
I use it on the daily chart . I note the daily figure, and that lets me know how far the price tends to move during a typical day (no gaps included).
If using on another time frame other than the daily, then it is an intrabar calculation, not intraday.
Apply a moving average to it to see the average intraday movement after the open when using a daily chart .
The IR% of a 1-minute chart tells you the price range of that one-minute price bar, and a weekly chart will show the price range of each weekly price bar.
It only measures high to low versus the candle's open price. It does not include gaps between candles, which makes it different than the ATR. ATR is more useful for swing trading, where the trader may be holding through gaps in price, and thus wants to factor them in.
The IR% is useful for day traders because it shows how much a stock tends to move during the day (intraday range), when using a daily chart . ATR is not as effective for this because it includes gaps, which day traders can't generally capitalize on.
If the IR% is fluctuating between 5% and 10% over the last 50 days or so (on the daily chart ), day traders know that AFTER the open, the price is likely to move 5% to 10% from high point to low point. This can help with establishing profit targets, seeking out stocks that tend to move a lot within the day, or avoid these types of stocks if they are undesirable to you. Seek out low IR% stocks if you prefer lower movement during your selected time frame.
A stock may have an ATR% of 5% but ATR doesn't tell us if that movement occurred after the open or includes a gap. Some stocks are prone to gaps. They may gap 4% most days, and then only move 1% during the day. This will still be a 5% ATR%, but most of that movement ISN'T capturable each day. The IR% for this stock would only be 1%, not 5% like the ATR suggests.
I developed this because I like day trading volatile stocks, and I wanted a measure that ONLY includes movement during the day, and doesn't include price gaps in the calculation. Because as a day trader, gaps don't matter to me. I can only make money on what happens during the day, after the open.
It is similar to another indicator called Average Day Range (ADR). Although most ADR calculations are already calculated as an average (so I don't see each individual value) or plots things on the chart. This may be useful for some people, but I wanted to see the data on each price bar, have the option to add a moving average or not, and not have anything plotted on the price chart. It also nice to be able to flip from % to $ dollar movement if desired.
Stairs Gain Strategy - MGI will explain step by step.
1- The position order filtering option is used to filter out duplicate positions.
2- The reason I use an ATR multiplier is to balance the ATR value that differs in instruments.
3- ATR lower limit and ATR upper limit values are to reduce unnecessary transactions and commission expenses in the horizontal market.
4- Strategy take profit and stop loss levels are calculated as percentages. The reason why there is no point account is that it can be used in the stock market.
5- Developer friends can get a more efficient result in forex market instruments by converting this to a point account.
Notice :
Variables are different in each instrument. Therefore, this strategy should be optimized for each instrument used.
CHOPperIt is based on the Choppiness Index indicator. It can show you when the market is in range. If the lines are below the lower band, it can be a strong trend, if it is inside the 2 bands, it is considered to be a choppy market, and if it is crossed down the upper band, it can be a developing trend.
This indicator does not show you the trend direction! This may be used as a confirmation indicator.
The improvements this indicator provides over the original:
It uses ATR instead of just TR (if ATR length is 1, it is the original TR)
It uses my ATRWO (ATR Without Outliers) indicator inside, which can remove extreme highs and lows from calculation. You can tune this by the "ATRWO STDev Mult" parameter. Higher value means more outliers are allowed.
It has 2 lines, one uses ATR(WO) (the blue one), which can be similar to the original Choppiness Index, the other uses standard deviation (the teal one).
The 2 lines can be used together, or you can hide one of them.
[KL] Mean Reversion (ATR) StrategyThis strategy will enter into a position when price volatility is relative high, betting that price will subsequently trend in a favourable direction.
Hypothesis : During periods of high price volatility, ATR will divert from its moving average by at least +/- one standard deviation. Eventually, ATR will revert back to the mean. However, just knowing the magnitude of increase/decrease of ATR does not give a trend signal, so we need to introduce a model in this script to predict whether the next bars will be up/down.
Trend Prediction : This strategy calculates the expected logarithmic return of the security (the "Drift") and considers prices to be moving in uptrend if the drift curve is upward sloping or if the drift value is positive.
Entry Conditions : Long position is entered when:
(a) ATR has diverted from mean by one standard deviation, and
(b) trend is predicted to move in our favor.
Exit Condition : When trailing stop loss is hit.
Results from backtesting against VOO (1H timeframe):
- approx 46% win rate over 491 trades, on average holding for 20 hours per trade
- price at the beginning of backtest (Jan. 2015) was $187.52, giving holding period return of ~120% had we not sold in between ("HPR of HODL'ing")
- this strategy gained ~159%, exceeding ~120% HPR of HODL'ing
Av3Based on the ANNE EA v3 for MT4. For use on FOREX.
if ATR is greater than ATR average taken from last 5 candles, then market considered as trending, and so Open(0)>Close(1)=buy Open(0)Close(1)=sell Open(0)
Relative ATR by Alejandro PThis is an indicator that expands the usability of ATR into a strong and valuable volatility indicator.
With the Relative ATR you can quickly see when the current market volatility its extremely low, normal or extremely high in relation to the past.
This provides traders with a much more valuable insight as to the current market conditions than normal volatility indicators.
A trader can, for example, decide to filter its strategy to only periods where the ATR is in its lowest percentiles which tells him that the market is unusually "quiet" recently and there may be a big breakout about to happen.
Or a trader can use the filter to avoid getting whipsawed with their strategy by avoiding taking trades when the Relative ATR is at its highest percentiles.
[EG] MA ATR ChannelsGreetings - the aim of this indicator was to code a single indicator with a selectable moving average, so I could examine price relationships to MA's and Average True Range (ATR) bollinger type bands. You can obviously approach this tool in so many different ways so I am going to share first an overview of moving averages and a short overview of how I use this this indicator.
Simple ( SMA ) – A simple average of the past N (length) prices. Just add the price data for each N (bar) and divide the total by N.
Exponential ( EMA ) – An exponential moving average with a greater weight for recent prices. The weighting is exponential. An N-period EMA takes more than N data points into account and gradually dilutes past data’s effect.
Double Exponential ( DEMA ) - Same as an EMA , the Double exponential moving average , or DEMA , is a measure of a security's trending average price that gives the even more weight to recent price data. Aimed to help reduce lag.
Triple Exponential ( TEMA ) - Same as an EMA , the Triple exponential moving average , or TEMA , is a measure of a security's trending average price that gives the even more weight to recent price data than EMA or DEMA . Aimed to help reduce lag.
Weighted ( WMA ) – An average of the past N prices with a linear weighting, again giving greater weight to more recent prices.
Hull ( HMA ) - The Hull Moving Average (developed by Alan Hull) has the purpose of reducing lag, increasing responsiveness while at the same time eliminating noise. It emphasises recent prices over older ones, resulting in a fast-acting yet smooth moving average that can be used to identify the prevailing market trend.
Wilder's (RMA) - Wilder's smoothing is a type of exponential moving average . It takes one parameter, the period n, and price. Larger values for n will have a greater smoothing effect on the input data but will also create more lag. It is equivalent to a 2n-1 Exponential Moving Average . For example, a 10 period Wilder's smoothing is the same as a 19 period exponential moving average .
Symmetrically Weighted ( SWMA ) - Weight distribution starts from median of given period and it's reduced linearly to the sides so the ending and starting point of period have the least weight. It's smooth and fast but reacts late to trend changes on higher lengths (lookback).
Arnaud Legoux ( ALMA ) - Arnaud Legoux Moving Average removes small price fluctuations and enhances trend via applying a moving average twice, once from left to right, and once from right to left and combines both. At the end of this process the phase shift (price lag) commonly associated with moving averages is significantly reduced.
Volume-Weighted ( VWMA ) - A Volume-Weighted Moving Average gives a different weight to each closing price and this weight depends on the volume of that period. For example, the closing price of a day with high volume will have a greater weight on the moving average value.
Volume Weighted Average Price ( VWAP ) - Though not necessarily a MA - Volume-weighted average price ( VWAP ) is a ratio of the cumulative share price to the cumulative volume traded over a given time period and so I thought would be useful as an ATR tool. The VWAP is calculated using the opening price for each day and adjusting in real time right up until the close of the session. Thus, the calculation uses intraday data only.
So what is Average True Range ?
Average True Range is a measure of volatility . It's an area that represents roughly how much you can expect a security to change in price over a time period. Average true range is usually calculated by applying Wilders Smoothing to True Range. If you want regular ATR - use RMA as the input for the ATR. The ATR is then divided into periods based on derivatives of Phi (3.14) and Fibs (0.618, 1.618 etc.) You will notice price bounces off the lines. Look for patterns.
The indicator - consisting of 3 parts:
Price/Fast MA - this is an MA anywhere between 3-20 periods that is reflective of very recent price action. It is red when price is below - and green when above. Recommendations : SMA , EMA , WMA , HMA
Trend/Medium MA - this is a slower MA that you could set anywhere between 30 - 100 periods that is reflective of overall bull/bear market trend depending on both it's direction and whether the Price MA / price is lower or higher. Recommendations: EMA , WMA , VWMA , RMA, ALMA
Average True Range - this is a way to measure and visualise range the price may be capable of in - if it is towards or below the 2.1 multiplier - a bull reversal is more likely and vice versea. The multi's are set to factors of Pi and Fibonacci ratio's. Green channel means bullish, red channel means bearish. Gold means sign of a likely reversal. If the PMA enters the channel - it is likely the reversal is cancelled for a short period more.
Recommendations : RMA, EMA , VWMA , ALMA , SWMA , VWAP
How I use it :
First of all - Consider longs when channel is green - or going to bounce on a support line - and consider shorts based on the opposite. This is not a buy/sell indicator - this is a MAP to PRICE to give reference and meaning to price movements across multiple time frames - very useful when using with a volume indicator and an RSI. I personally use it on the 3m chart but change the TFM to 5 for 15m data.
If you wish to see any other more exotic or interesting MA's added please feel free to request them in the comments ! And thanks for checking out my first indicator
Supertrend BandsSupertrend Bands
What is the Supertrend indicator?
"The Supertrend indicator is a trend following overlay on your trading chart, much like a moving average, that shows you the current trend direction.
The indicator works well in a trending market but can give false signals when a market is trading in a range.
It uses the ATR (average true range) as part of its calculation which takes into account the volatility of the market. The ATR is adjusted using the multiplier setting which determines how sensitive the indicator is."
"For the basic Supertrend settings, you can adjust period and factor:
- The period setting is the lookback for the ATR calculation
- Factor is the what the ATR is multiplied by to offset the bands from price"
How to use this indicator
This indicator is inspired by a strategy I found. It includes four Supertrend indicators, each with different settings that displays trend strength and support/resistance zones. The default settings are optimal for cryptocurrency but do work quite well for traditional also. I highly recommend you try experimenting with different settings, increasing them to suit the instrument.
The bands are set from low to high, Band 1 being the fastest and Band 4 being the slowest. Band 4 is the one that sets the overall trend so when price is above Band 4, the trend is bullish and vice versa. Trend is strongest when price is above/below Band 1 and gets weaker as it filters through each band. Band 4 provides the strongest support/resistance and if that breaks the trend flips.
In the menu, you will see an option called "Remove Anti Trend?". It is enabled by default and it removes any bearish/resistance bands when the trend is up and any bullish/support bands when the trend is down. When turned off, it will show all Supertrend Bands as they are by default.
Bar Colors
Bar colors are optional and they reflect the current trend strength based on the Supertrend bands.
Alternate ways of using this indicator
You could leave everything as default or you can display individual bands. For instance, because I use many overlay indicators, most of the time I turn off all the bands and only show bar colors:
You can also turn off Bands 1 and 2 and only show the two slowest lengths:
This removes the noise of the two faster Supertrends.
Or just show the two fastest bands:
Any suggestions to improve this indicator are most welcome :)
Phoenix085-Strategies==>MTF - Average True Range + MovAvgFIRSTLY, Here are a few who have influenced my pinescripting immensely recently:
@JustUncleL
@BigBitsIO
@TheArtofTrading
@QuantNomad
@SquigglesNiggles and many many many more.
Overview:
> This indicator is a simple crossover of Moving Averages.
> In addition I am using ATR rising as an indication for Trending Price.
> The entry is made once the smaller moving average crosses the bigger moving average, and also the Closes above the Smaller moving average.
> but the only twist here is,
- the ATR source is One timeframe Higher(In this case same as the session).whereas the source for the Moving averages is one Timeframe Lower.
>i.e., if the Session is 1D, the Indicator checks if the ATR is rising in the DAILY TIMEFRAME,
*_* the trade entry is made once the MOVING AVERAGE crossover happens on ONE TIME FRAME lower, as per example, ATR --> 1D = MA -->4H.
> Moving Average ->
- Thick -> Bigger MA,
- Thin and Transparent -> Smaller MA,
> Also, the Color of the Thicker MOVING AVERAGE Changes as Below:
- When LongCondition is satisfied --> Color=Lime
- When ShortCondition is satisfied --> Color=Red
- When neither condition is satisfied --> Color=Gray
NOTE:
1) There is a limitation in using the Securities function for FREE USERS --> Only 500 bars are allowed. So to use the indicators with more data, you need an upgraded TV account.
2) Strategy still needs Fine tuning, but for now, use the Thicker moving average color LIME FOR LONG ENTRIES and RED FOR SHORT ENTRIES.
This is Free for Use and share
Day ATR H/L + Yesterday H/L + Today H/L - divinechartistNow you can monitor Yesterday's high and low on a small time frame, You no need to switch time frame every time.
Also, you can monitor support and resistance base on Day's ATR (Default Value is 14)
and also we used EMA of 21 for small-time trand identify.
This indicator helps you to find the best trade near to support and resistance. Using this indicator you can enter in trand with small STOPLOSS and for a BIG PROFIT.
EX :
If your current price is below 21EMA and also broke yesterday's low, so its probability to go more down.
Same, If the price is above 21EMA and the price broke yesterday's high so probability it's going more UP.
Also, you can book profit and set STOPLOSS base on ATR value.
if the price above or near TOP-ATR it's mean it's not the best price to buy, You can book a profit at this price or try to find short sell trade.
Same as if price below BOTTOM-ATR it's mean it's not the best price to sell, You can book a profit at this price or try to find buy trade.
VWMA_withATRstops_strategyThis strategy follows the trend when price is above VWMA indicator. I have modified entry and exit rules to get most out of it.
Instead of entering LONG when price crosses above VWMA, I have used RSI(14) of VWMA . that way it skips the false signals. (some extent)
ENTRY
========
1. VWMA setting is 33
2. When RSIofVwma is above 30 enter Long ( and also checks if price already broke the ATR Stop above line )
Stop Loss and Exits
==================
1. Exit is when price breaks the ATR stop loss
2. ATR setting is set as same VWMA Length and multiplier is 3.5
3. STOP Loss that I mentioned in the settings is being used to calculate the how many units can be purchased based on risk of capital value.
Note: There is NO hard stop loss. having above ATR stop loss works as Trailing stop loss
Warning
=======
For the educational purposes only
ATRCD, Average True Range Convergence DivergenceATRCD calculates a MACD over the Average True Range, therefore helping traders to spot momentum in volatility.
The Average True Range is a measurement of the average candle size over a period of time, i.e. when the candles are small, the ATR is low. ATR measures volatility .
The MACD is a momentum indicator. It measures market momentum based on the average closing prices over a period.
Therefore, using the MACD calculation over the ATR we get a measurement of momentum in volatility . The ATRCD is a concept at this point. I was curious to see whether such an indicator could provide any edge trading the markets. Because this is a MACD of the ATR the same concepts can be applied, e.g. spotting divergences, momentum trends, etc. Please be careful however, this indicator only looks like the MACD but it measures volatility and not price momentum . Maybe this can help traders confirm breakouts using price action?
Applying this indicator to the 12h of BTC/USDT we can see that we could be nearing a volatility expansion with a divergence on the histogram, and an ATRCD crossover.
BINANCE:BTCUSDT
Buy&Sell Strategy depends on AO+Stoch+RSI+ATR by SerdarYILMAZThis strategy is just for training, its purpose is just learning code in pine script.
Don't make buy or sell decision with this strategy.
Turkish/Turkce
Bu strateji sadece pine script'te kodlamanın nasıl yapildigini ogrenmek icindir.
Bu stratejiye dayanarak, kesinlikle al-sat islemleri yapmayin.
How it works?
When RSI and Stoch are in oversold area and if awesome osc. turns positive, take long position. Stop loss and take profit levels were defined with ATR ind.
When RSI and Stoch are in overbought are and if awesome osc. turns negative, take short position. Stop loss and take profit levels were defined with ATR ind.
Turkish/Turkce
RSI ve Stoch asiri satım bölgesinde iken awesome pozitife döner ise long pozisyon açar, zarar kes ve kar al seviyeleri ATR indikatoru ile tanımlandı.
RSI ve Stoch asırı alım bölgesinde iken awesome negatife döner ise short pozisyon açar, zarar kes ve kar al seviyeleri ATR indikatoru ile tanımlandı.
No Nonsense NNFX VP Strategy for Back Testing | jhMy first script, be kind :)
Most of the rules are implemented:
- Money management
- ATR, Baseline, Confirmation, Volume, Exit
More details below.
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//Designed per No Nonsense Forex VP rules
//Made to be as modular as possible, so we can swap the indicators in and out.
//Originated from causecelebre
//Tried to put in as much VP rules as possible
///////////////////////////////////////////////////
//Rules Implemented:
///////////////////////////////////////////////////
// - SL 1.5 x ATR
// - TP 1 x ATR
//
// - Entry conditions
//// - Entry within 1 candles of baseline + 1 x confirmation + volume
//// - Entry only if baseline is < 1 x ATR
// - Exit conditions
//// - Exit on exit indicator or when baseline or confirmation flip
///////////////////////////////////////////////////
//Trades entries
///////////////////////////////////////////////////
// - First entry L1 or S1 with standard SL and TP
// - Second entry L2 or S2 with standard SL and exit upon the exit conditions
///////////////////////////////////////////////////
//Included Indicators and settings
///////////////////////////////////////////////////
// - Baseline = HMA 20
// - Confirmtion = SSL 10
// - Volume = TDFI 4
// - Exit = RVI 4
///////////////////////////////////////////////////
//Credits
// Strategy causecelebre
// TDFI causecelebre
// SSL Channel ErwinBeckers
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
Average True Range ShiftThis indicator builds on the idea of the Average True Range (ATR) as a way of measuring volatility. It uses two different ATRs to show a shift in market volatility.
It is mainly composed of two moving averages of ATR. One fast moving, which looks back at the previous 5 periods. One slow moving, which looks back at the previous 21 periods. Both ATRs have been normalized (show percentage instead of an absolute amount). The third component of this indicator is the histogram that is created by subtracting the slow moving average, from the fast moving average.
By having two ATRs of different lengths, traders can see how short term volatility compares to long term volatility, and how it is shifting over time. When the fast-moving crosses above the slow-moving, it will show a positive value on the histogram, meaning that short term volatility is increasing and higher than normal. When it crosses below, it will show a negative value on the histogram, meaning that short term volatility is decreasing, and lower than normal.
There are a variety of ways to utilize this indicator, and it will work in most markets. I find it is best to analyze macro market conditions on daily charts and above, rather than micro intraday moves.
[RichG] Easy MTF Strategy v1.1This is a second attempt at an easy to understand multiple time frame strategy. This one uses ATR for exits. If the position is long, and the price closes below the ATR multiplier, it triggers a close. If the position is short, and the price closes above the ATR/multiplier, it triggers a close. This generates a lot of little trades but is useful because it uses multiple time frames along with cutting losses when the ATR disagrees.
20-Candle ATR in Pips (5m only)This custom indicator displays the Average True Range (ATR) over the last 20 candles on a 5-minute chart, specifically designed for pairs where 1 pip = 0.01.
Key features:
📐 Calculates a simple moving average of the true range over the last 20 five-minute candles.
📋 Outputs the ATR value in a clean table with a green background and white text.
⚠️ Designed exclusively for the 5-minute timeframe – prompts you to switch if you’re on a different one.
📏 Values are shown in pips (e.g., “ATR (20 candles): 9.83 pips”).
This tool is ideal for short-term volatility tracking, scalping strategies, and identifying market conditions where price is expanding or contracting.
Combined Predictive Indicator### Combined Predictive Zones & Levels
This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence.
#### How It Works: Two Models in One
This script is built on two core components that you can use together or analyze separately:
**Part 1: Classic Range & Fibonacci Prediction**
This model uses classic technical analysis principles to project a potential range for the upcoming price action.
* **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period.
* **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance.
* **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR).
**Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)**
This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility.
* **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline.
* **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse.
#### Key Features:
* **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal.
* **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning.
* **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context.
* **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style.
* **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis.
#### How to Use:
1. Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions.
2. Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits.
3. Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses.
**Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management.
Feedback is welcome! If you find this tool useful, please leave a like.
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose
This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters.
🧠 How It Works
A signal is triggered only when all core conditions are satisfied:
1. Swing High/Low Detection
Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50).
This ensures the move is significant relative to recent price action.
2. Impulse Confirmation
Price must extend by at least 1 × ATR from the previous swing point.
This filters out minor fluctuations.
3. Exhaustion Conditions (at least 2 out of 3 must be met)
RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals.
Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier.
Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups.
4. Trend Filter
ADX > ADX Threshold ensures the market is trending and filters out sideways conditions.
5. Candle Body Filter
Candle body must be ≥ Body Size ATR Factor × ATR.
This avoids weak signals from small candles or doji formations.
📈 How to Use
Bearish Signal:
Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts.
Bullish Signal:
Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs.
Recommended Timeframes: Works best on 1h, 4h, and Daily charts.
Markets: Crypto, Forex, Stocks — wherever volatility and trends are present.
⚙️ Inputs
RSI Length / Overbought / Oversold
Volume SMA Length & Volume Spike Multiplier
Wick Threshold %
Extremum Lookback (bars for highs/lows)
ADX Length & Threshold
Body Size ATR Factor
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly and apply proper risk management before live trading.
💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
Risk Distribution HistogramStatistical risk visualization and analysis tool for any ticker 📊
The Risk Distribution Histogram visualizes the statistical distribution of different risk metrics for any financial instrument. It converts risk data into histograms with quartile-based color coding, so that traders can understand their risk, tail-risks, exposure patterns and make data-driven decisions based on empirical evidence rather than assumptions.
The indicator supports multiple risk calculation methods, each designed for different aspects of market analysis, from general volatility assessment to tail risk analysis.
Risk Measurement Methods
Standard Deviation
Captures raw daily price volatility by measuring the dispersion of price movements. Ideal for understanding overall market conditions and timing volatility-based strategies.
Use case: Options trading and volatility analysis.
Average True Range (ATR)
Measures true range as a percentage of price, accounting for gaps and limit moves. Valuable for position sizing across different price levels.
Use case: Position sizing and stop-loss placement.
The chart above illustrates how ATR statistical distribution can be used by looking at the ATR % of price distribution. For example, 90% of the movements are below 5%.
Downside Deviation
Only considers negative price movements, making it ideal for checking downside risk and capital protection rather than capturing upside volatility.
Use case: Downside protection strategies and stop losses.
Drawdown Analysis
Tracks peak-to-trough declines, providing insight into maximum loss potential during different market conditions.
Use case: Risk management and capital preservation.
The chart above illustrates tale risk for the asset (TQQQ), showing that it is possible to have drawdowns higher than 20%.
Entropy-Based Risk (EVaR)
Uses information theory to quantify market uncertainty. Higher entropy values indicate more unpredictable price action, valuable for detecting regime changes.
Use case: Advanced risk modeling and tail-risk.
VIX Histogram
Incorporates the market's fear index directly into analysis, showing how current volatility expectations compare to historical patterns. The CAPITALCOM:VIX histogram is independent from the ticker on the chart.
Use case: Volatility trading and market timing.
Visual Features
The histogram uses quartile-based color coding that immediately shows where current risk levels stand relative to historical patterns:
Green (Q1): Low Risk (0-25th percentile)
Yellow (Q2): Medium-Low Risk (25-50th percentile)
Orange (Q3): Medium-High Risk (50-75th percentile)
Red (Q4): High Risk (75-100th percentile)
The data table provides detailed statistics, including:
Count Distribution: Historical observations in each bin
PMF: Percentage probability for each risk level
CDF: Cumulative probability up to each level
Current Risk Marker: Shows your current position in the distribution
Trading Applications
When current risk falls into upper quartiles (Q3 or Q4), it signals conditions are riskier than 50-75% of historical observations. This guides position sizing and portfolio adjustments.
Key applications:
Position sizing based on empirical risk distributions
Monitoring risk regime changes over time
Comparing risk patterns across timeframes
Risk distribution analysis improves trade timing by identifying when market conditions favor specific strategies.
Enter positions during low-risk periods (Q1)
Reduce exposure in high-risk periods (Q4)
Use percentile rankings for dynamic stop-loss placement
Time volatility strategies using distribution patterns
Detect regime shifts through distribution changes
Compare current conditions to historical benchmarks
Identify outlier events in tail regions
Validate quantitative models with empirical data
Configuration Options
Data Collection
Lookback Period: Control amount of historical data analyzed
Date Range Filtering: Focus on specific market periods
Sample Size Validation: Automatic reliability warnings
Histogram Customization
Bin Count: 10-50 bins for different detail levels
Auto/Manual Bin Width: Optimize for your data range
Visual Preferences: Custom colors and font sizes
Implementation Guide
Start with Standard Deviation on daily charts for the most intuitive introduction to distribution-based risk analysis.
Method Selection: Begin with Standard Deviation
Setup: Use daily charts with 20-30 bins
Interpretation: Focus on quartile transitions as signals
Monitoring: Track distribution changes for regime detection
The tool provides comprehensive statistics including mean, standard deviation, quartiles, and current position metrics like Z-score and percentile ranking.
Enjoy, and please let me know your feedback! 😊🥂
Universal ATR Grid from Entry Price with AlertsUniversal ATR Grid from Entry Price with Alerts
This Pine Script v6 indicator creates a dynamic price grid based on a user-defined entry price and ATR for selected instruments (SOLUSDT, XRPUSDT, DOGEUSDT, PEPEUSDT, WIFUSDT).
Users can customize the entry price, ATR, number of levels (up to 5), and step multiplier per instrument.
The grid shows long (green) and short (red) levels around the entry price (gray), with labels offset right.
Lines extend from labels to the current bar, updating dynamically.
Alerts trigger on breakouts of long, short, and entry levels. Instrument names can be modified in the script.
UT Bot + LinReg Candles (Dual Sensitivity)
Script Description:
This indicator combines the popular UT Bot Alerts system with Linear Regression Candles (open source) for enhanced trend detection and trading signals in one singel script. The UT Bot features independent, then 2 x ATR sensitivity and periods controls for buy and sell signals, allowing you to fine-tune entries and exits to match your strategy. The script also overlays colored Linear Regression Candles with an optional signal line, helping you visually identify trend strength and direction. All calculations are performed on standard chart prices (no Heikin Ashi). Suitable for all asset classes and timeframes.
Eample setting for usdjpy 5 min chart for repeated buy and sell singnals based on trend:
BUY ATR period 300 multiplier 1
SELL ATR period 1 multiplier 2
Disclaimer:
This script is for informational and educational purposes only. It is not financial advice. Use at your own risk; the author assumes no responsibility for any trading results or losses.
Credits goes to to Ugurvu for linreg candles and quantnomad for UT Bot alerts that make this script possible.
Author: Patrick
