Volumetric Volatility Breaker Blocks [UAlgo]The "Volumetric Volatility Breaker Blocks " indicator is designed for traders who want a comprehensive understanding of market volatility combined with volume analysis. This indicator provides a clear visualization of significant volatility areas (or blocks), characterized by price movements that exceed a specific volatility threshold, as calculated using the ATR (Average True Range). The concept is enhanced by integrating volume-based insights, offering a view of market activity that helps users to recognize when significant price changes are being supported by an appropriate level of market participation.
The indicator calculates breaker blocks for both bullish and bearish market conditions, providing distinct visual elements that identify periods of high volatility and substantial volume divergence. The focus on both volume and volatility makes this tool versatile, allowing traders to assess the strength of price movements as well as areas where price might break above or below previously established levels.
It supports adjustable parameters, such as volatility length, smoothness factor, and volume display, allowing traders to fine-tune the indicator according to their trading strategy and market environment. The highlighted breaker blocks assist in identifying zones of potential price reversal or continuation, which can be critical for making informed trading decisions.
🔶 Key Features
Volatility-Based Block Identification: The indicator uses the Average True Range (ATR) to determine the volatility of the market. When the ATR exceeds a specified threshold (smooth ATR multiplied by a user-defined multiplier), it highlights these areas as volatility blocks. The idea is to mark periods where price activity is significantly divergent from normal conditions, which often signals market opportunities.
Volume Integrated Analysis: In addition to tracking volatility, the indicator incorporates volume data, allowing traders to see the amount of activity that occurs during these high-volatility periods. This helps in identifying whether a price movement is likely sustainable or whether it lacks market support.
User Adjustable Parameters: The indicator offers customization options for the volatility length (using ATR), smooth length, and multiplier for sensitivity adjustment. These settings enable users to modify the indicator’s responsiveness to market conditions.
The option to display the last few volatility blocks allows traders to manage clutter on their charts and focus only on the most recent significant data.
Mitigation Method: Users can select between different mitigation methods ("Close" or "Wick") to determine how blocks are broken. This adds an extra layer of adaptability, allowing traders to modify the indicator's response based on different price action strategies.
Dynamic Visual Representation: The indicator dynamically draws boxes for volatility blocks and shades them according to market direction, with split areas showing the bullish and bearish strength contributions. It also provides percentage volume for each block, helping traders understand the relative market participation during these moves.
🔶 Interpreting the Indicator
Identifying High Volatility Areas: When a new volatility block appears, it signifies that the market is experiencing higher-than-usual volatility, driven by increased ATR values. Traders should pay attention to these blocks, as they often indicate that a significant price move is occurring. Bullish blocks suggest upward pressure, whereas bearish blocks indicate downward pressure.
Volume Insights: The volume associated with each volatility block provides an insight into how much market participation accompanies these moves. Higher volume within a block implies that the market is actively supporting the price change, which may be a sign of continuation. Low volume suggests that the movement may lack the strength to persist.
Bullish vs. Bearish Strength Analysis: Each block is split into bullish and bearish strength, giving a clearer picture of what’s happening within the volatility period. If the bullish portion dominates, it indicates strong upward sentiment during that period. Conversely, if the bearish side is more prominent, there is more selling pressure. This breakdown helps in understanding intra-block market dynamics.
Volume Percentage Display: The indicator also displays the volume percentage in each block, which provides context for the strength of the move relative to recent market activity. Higher percentages mean more market engagement, which could confirm the legitimacy of a trend or a significant breakout.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Cerca negli script per "atr"
Volatility Trend Bands [UAlgo]The Volatility Trend Bands is a trend-following indicator that combines the concepts of volatility and trend detection. Built using the Average True Range (ATR) to measure volatility, this indicator dynamically adjusts upper and lower bands around price movements. The bands act as dynamic support and resistance levels, making it easier to identify trend shifts and potential entry and exit points.
With the ATR multiplier, this indicator effectively captures volatility-based shifts in the market. The use of midline values allows for accurate trend detection, which is displayed through color-coded signals on the chart. Additionally, this tool provides clear buy and sell signals, accompanied by intuitive graphical markers for ease of use.
The Volatility Trend Bands is ideal for traders seeking an adaptive trend-following method that responds to changing market conditions while maintaining robust volatility control.
🔶 Key Features
Dynamic Support and Resistance: The indicator utilizes volatility to create dynamic bands. The upper band acts as resistance, and the lower band acts as support for the price. Wider bands indicate higher volatility, while narrower bands indicate lower volatility.
Customizable Inputs
You can tailor the indicator to your strategy by adjusting the:
Price Source: Select the price data (e.g., closing price) used for calculations.
ATR Length: Define the lookback period for the Average True Range (ATR) volatility measure.
ATR Multiplier: This factor controls the width of the volatility bands relative to the ATR value.
Color Options: Choose colors for the bands and signal arrows for better visualization.
Visual Signals: Arrows ("▲" for buy, "▼" for sell) appear on the chart when the trend changes, providing clear entry point indications.
Alerts: Integrated alerts for both buy and sell conditions, allowing you to receive notifications for potential trade opportunities.
🔶 Interpreting Indicator
Upper and Lower Bands: The upper and lower bands are dynamic, adjusting based on market volatility using the ATR. These bands serve as adaptive support and resistance levels. When price breaks above the upper band, it indicates a potential bullish breakout, signaling a strong uptrend. Conversely, a break below the lower band signals a bearish breakout, indicating a downtrend.
Buy/Sell Signals: The indicator provides clear buy and sell signals at breakout points. A buy signal ("▲") is generated when the price breaks above the upper band, suggesting the start of a bullish trend. A sell signal ("▼") is triggered when the price breaks below the lower band, indicating the beginning of a bearish trend. These signals help traders identify potential entry and exit points at key breakout levels.
Color-Coded Bars: The bars on the chart change color based on the trend direction. Teal bars represent bullish momentum, while purple bars signify bearish momentum. This color coding provides a quick visual cue about the market's current direction.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Precise ATR Stop Loss - Daily Pullbacks [ST]Precise ATR Stop Loss - Daily Pullbacks
This indicator uses ATR (Average True Range) combined with the identification of pullback lows and highs on daily charts to calculate more precise stop loss levels.
How it works:
Identification of Pullbacks:
Pullback Lows: Identifies significant low points on daily charts that can serve as support.
Pullback Highs: Identifies significant high points on daily charts that can serve as resistance.
ATR (Average True Range):
Measures market volatility and is used to adjust stop loss levels according to market conditions.
Dynamic Stop Loss:
Stop Loss for Uptrend:
When a pullback low is identified on a daily chart, the stop loss is set slightly below this point, adjusted by the ATR.
This level is shown by a green line on the chart.
Stop Loss for Downtrend:
When a pullback high is identified on a daily chart, the stop loss is set slightly above this point, adjusted by the ATR.
This level is shown by a red line on the chart.
Indicator Benefits:
Improved Precision: Uses significant pullback points on daily charts to set stops more accurately.
Dynamic Stop Loss:
Automatically adjusts stop loss levels according to market volatility, providing more effective risk management.
Título: Precise ATR Stop Loss - Daily Pullbacks
Descrição em Português:
Este indicador utiliza o ATR (Average True Range) combinado com a identificação de fundos e topos de pullback em gráficos diários para calcular níveis de stop loss mais precisos.
Como funciona:
Identificação de Pullbacks:
Fundos de Pullback: Identifica pontos de mínima significativos em gráficos diários que podem servir como suporte.
Topos de Pullback: Identifica pontos de máxima significativos em gráficos diários que podem servir como resistência.
ATR (Average True Range):
Mede a volatilidade do mercado e é utilizado para ajustar os níveis de stop loss de acordo com as condições do mercado.
Stop Loss Dinâmico:
Stop Loss para Tendência de Alta: Quando um fundo de pullback é identificado em um gráfico diário, o stop loss é colocado um pouco abaixo desse ponto, ajustado pelo ATR. Este nível é mostrado por uma linha verde no gráfico.
Stop Loss para Tendência de Baixa: Quando um topo de pullback é identificado em um gráfico diário, o stop loss é colocado um pouco acima desse ponto, ajustado pelo ATR. Este nível é mostrado por uma linha vermelha no gráfico.
Benefícios do Indicador:
Precisão Melhorada: Utiliza pontos de pullback significativos em gráficos diários para posicionar stops de forma mais precisa.
Stop Loss Dinâmico: Ajusta automaticamente os níveis de stop loss de acordo com a volatilidade do mercado, proporcionando uma gestão de risco mais eficaz.
SLOPED Trailing SL with ATR-V1SLOPED Trailing SL with ATR
I thought capital is sometime locked for long periods s when volatility is low, hence:
SLOPED Trailing SL with ATR
This indicator provides a trailing stop loss that dynamically adjusts based on the Average True Range (ATR) and incorporates a user-defined upward slope on flat areas. It is designed to follow the price movement more closely during trends while allowing for a customizable slope to maintain a trailing stop even when the price movement is flat.
Key Features:
ATR-Based Stop Loss:
Utilizes the ATR to calculate a dynamic stop loss level, adjusting to market volatility.
Provides a normal ATR stop loss line that only trails upwards, preventing it from decreasing.
Upward Slope on Flat Areas:
Adds a user-defined upward slope to the trailing stop loss when the price movement is flat.
The slope value is specified in 1/1000 increments (e.g., 0.1% per bar), allowing for fine-tuned control.
Multi Timeframe ATR IndicatorThe Average True Range (ATR) indicator is a technical analysis tool used to measure market volatility. The ATR indicator is designed to capture the degree of price movement or price volatility over a specified period of time. It does this by calculating the true range for each bar or candlestick on a chart and then taking an average of these true range values over a set period.
In the provided Pine Script code, the ATR indicator is being calculated for two different timeframes, which allows traders to compare volatility across different periods. The script includes user-defined inputs for the length of the ATR calculation and the type of smoothing (RMA or SMA) to be applied to the true range values. The 'smoothingFunc' function within the script determines whether to use the RMA (Relative Moving Average) or SMA (Simple Moving Average) based on the user's selection.
The true range for each bar is calculated as the maximum of the following three values: the difference between the current high and low, the absolute value of the difference between the current high and the previous close, and the absolute value of the difference between the current low and the previous close. This calculation is designed to ensure that gaps and limit moves are properly accounted for in the volatility measurement.
The script then uses the 'smoothingFunc' to calculate the ATR values for the two timeframes, and these values are plotted on the chart as two separate lines, allowing traders to visually assess the volatility levels.
Overall, this custom ATR indicator is a versatile tool for traders who wish to analyse market volatility and compare it across different timeframes, potentially aiding in making more informed trading decisions based on the prevailing market conditions.
SuperTrend ToolkitThe SuperTrend Toolkit (Super Kit) introduces a versatile approach to trend analysis by extending the application of the SuperTrend indicator to a wide array of @TradingView's built-in or Community Scripts . This tool facilitates the integration of the SuperTrend algorithm with various indicators, including oscillators, moving averages, overlays, and channels.
Methodology:
The SuperTrend, at its core, calculates a trend-following indicator based on the Average-True-Range (ATR) and price action. It creates dynamic support and resistance levels, adjusting to changing market conditions, and aiding in trend identification.
pine_st(simple float factor = 3., simple int length = 10) =>
float atr = ta.atr(length)
float up = hl2 + factor * atr
up := up < nz(up ) or close > nz(up ) ? up : nz(up )
float lo = hl2 - factor * atr
lo := lo > nz(lo ) or close < nz(lo ) ? lo : nz(lo )
int dir = na
float st = na
if na(atr )
dir := 1
else if st == nz(up )
dir := close > up ? -1 : 1
else
dir := close < lo ? 1 : -1
st := dir == -1 ? lo : up
@TradingView's native SuperTrend lacks the flexibility to incorporate different price sources into its calculation.
Community scripts, addressed the limitation by implementing the option to input different price sources, for example, one of the most popular publications, @KivancOzbilgic's SuperTrend script.
In May 2023, @TradingView introduced an update allowing the passing of another indicator's plot as a source value via the input.source() function. However, the built-in ta.atr function still relied on the chart's price data, limiting the formerly mentioned scripts to the chart's price data alone.
Unique Approach -
This script addresses the aforementioned limitations by processing the data differently.
Firstly we create a User-Defined-Type (UDT) replicating a bar's open, high, low, close (OHLC) values.
type bar
float o = open
float h = high
float l = low
float c = close
We then use this type to store the external input data.
src = input.source(close, "External Source")
bar b = bar.new(
nz(src ) , open 𝘷𝘢𝘭𝘶𝘦
math.max(nz(src ), src), high 𝘷𝘢𝘭𝘶𝘦
math.min(nz(src ), src), low 𝘷𝘢𝘭𝘶𝘦
src ) close 𝘷𝘢𝘭𝘶𝘦
Finally, we pass the data into our custom built SuperTrend with ATR functions to derive the external source's version of the SuperTrend indicator.
supertrend st = b.st(mlt, len)
- Setup Guide -
Utility and Use Cases:
Universal Compatibility - Apply SuperTrend to any built-in indicator or script, expanding its use beyond traditional price data.
- A simple example on one of my own public scripts -
Trend Analysis - Gain additional trend insights into otherwise mainly mean reverting or volume indicators.
- Alerts Setup Guide -
The Super Kit empowers traders and analysts with a tool that adapts the robust SuperTrend algorithm to a myriad of indicators, allowing comprehensive trend analysis and strategy development.
Price Exhaustion IndicatorThe Price Exhaustion Indicator (PE) is a powerful tool designed to identify trends weakening and strengthening in the financial markets. It combines the concepts of Average True Range (ATR), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator to provide a comprehensive assessment of trend exhaustion levels. By analyzing these multiple indicators together, traders and investors can gain valuable insights into potential price reversals and long-term market highs and lows.
The aim of combining the ATR, MACD, and Stochastic Oscillator, is to provide a comprehensive analysis of trend exhaustion. The ATR component helps assess the volatility and range of price movements, while the MACD offers insights into the convergence and divergence of moving averages. The Stochastic Oscillator measures the current price in relation to its range, providing further confirmation of trend exhaustion. The exhaustion value is derived by combining the MACD, ATR, and Stochastic Oscillator. The MACD value is divided by the ATR value, and then multiplied by the Stochastic Oscillator value. This calculation results in a single exhaustion value that reflects the combined influence of these three indicators.
Application
The Price Exhaustion Indicator utilizes a unique visual representation by incorporating a gradient color scheme. The exhaustion line dynamically changes color, ranging from white when close to the midline (40) to shades of purple as it approaches points of exhaustion (overbought at 100 and oversold at -20). As the exhaustion line approaches the color purple, this represents extreme market conditions and zones of weakened trends where reversals may occur. This color gradient serves as a visual cue, allowing users to quickly gauge the strength or weakness of the prevailing trend.
To further enhance its usability, the Price Exhaustion Indicator also includes circle plots that signify potential points of trend reversion. These plots appear when the exhaustion lines cross or enter the overbought and oversold zones. Red circle plots indicate potential short entry points, suggesting a weakening trend and the possibility of a downward price reversal. Conversely, green circle plots represent potential long entry points, indicating a strengthening trend and the potential for an upward price reversal.
Traders and investors can leverage the Price Exhaustion Indicator in various ways. It can be utilized as a trend-following tool, or a mean reversion tool. When the exhaustion line approaches the overbought or oversold zones, it suggests a weakening trend and the possibility of a price reversal, helping identify potential market tops and bottoms. This can guide traders in timing their entries or exits in anticipation of a trend shift.
Utility
The Price Exhaustion Indicator is particularly useful for long-term market analysis, as it focuses on identifying long-term market highs and lows. By capturing the gradual weakening or strengthening of a trend, it assists investors in making informed decisions about portfolio allocation, trend continuation, or potential reversals.
In summary, the Price Exhaustion Indicator is a comprehensive and visually intuitive tool that combines ATR, MACD, and Stochastic Oscillator to identify trend exhaustion levels. By utilizing a gradient color scheme and circle plots, it offers traders and investors valuable insights into potential trend reversals and long-term market highs and lows. Its unique features make it a valuable addition to any trader's toolkit, providing a deeper understanding of market dynamics and assisting in decision-making processes. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
custom Bollinger bands with filters - indicator (AS)-----------Description-------------
This indicator is basically Bollinger bands with many ways to customize. It uses highest and lowest values of upper and lower band for exits. I think something is wrong with the script but cant find any mistakes – most probably smoothing. The ATR filter is implemented but is working incorrectly. In code you can also turn it into strategy but I do not recommend it for now as it is not ready yet.
So this is my first script and I am looking for any advice, ideas to improve this script, sets of parameters, markets to apply, logical mistakes in code or any ideas that you may have. Indicator was initially designed for EURUSD 5MIN but I would be interested in other ideas.
-----------SETTINGS--------------
---START - In starting settings we can choose
Line 1: what parts to use BB/DC/ATR
Line 2: what parts to plot on chart
Line 3 Whether or not apply smoothing to BB or ATR filter
Line 4 Calculate deviation for BB from price or Moving average
Line 5 Fill colors and plot other parts for debug (overlay=false)
Line 6:( for strategy) – enable Long/Short Trades
---BB and DC – here we modify Bollinger bands and Donchian
Line 1: Length and type of BB middle line and also length of DC from BB
Line 2: Length and type of BB standard deviation and multiplier
Line 3: Length and type of BB smoothing and %width for BB filter
---ATR filter – (not ready fully yet)
Line 1: type and length of ATR
Line 2: threshold and smoothing value of ATR
---DATE and SESSION
Line 1: apply custom date or session?
Line 2: session hours settings
Line 3:Custom starting date
Line 4: Custom Ending date
-----------HOW TO USE--------------
We open Long if BB width is bigger than threshold and close when upper band is no longer highest in the period set. Exact opposite with Short
EMA + ATR Support and Resistance + Take Profit SignalThe 'EMA+ ATR Support Resistance Take Profit signal' indicator is a technical analysis tool designed to help traders identify potential support and resistance levels, using the Exponential Moving Average (EMA) and the Average True Range (ATR) indicators. This indicator not only tracks the EMA and ATR but also plots these levels as support and resistance lines, providing useful insights into potential buy and sell points.
The indicator allows you to set the lengths for both the EMA and ATR, with default values set to 20 and 14, respectively. Moreover, you can specify the multiplier for the ATR in the Support/Resistance (S/R) length setting, which defaults to 2. The line width for the plotted lines can also be adjusted according to your preference.
The EMA line in center is invisible by default but you can change that by going to the setting of the indicator. The support and resistance lines are plotted in green and red, respectively. When the price hits the support or resistance levels, the indicator provides a visual signal with a cross shape below or above the respective bars, in lime and red, respectively. If you do not need the take profit signals you can disable them in the setting.
How to Use:
1. Define the EMA and ATR lengths according to your trading strategy. Higher lengths will provide smoother lines but may also lag the current price action.
2. Set the S/R length to determine the distance of the support and resistance lines from the EMA line. Higher values will place these lines further away from the EMA.
3. Monitor the chart for instances when the price hits the support or resistance levels. This is indicated by a cross shape below (for support hit) or above (for resistance hit) the price bar. These points may be considered as potential take profit points or entry/exit points, depending on your strategy.
4. Use the indicator in conjunction with other tools and indicators to confirm signals and reduce the risk of false signals. So the assumption is you enter a trade using your other indicators but you can rely on this indicator to remind you to take profit if you are long by a red cross of the resistance line and if you are short reminds you by a green cross on the support line.
Disclaimer: This indicator should not be used as the sole determinant for any investment decision. Always conduct thorough research and consider multiple factors before trading.
MA Simple Strategy with SL & TP & ATR FiltersHello Guys! Nice to meet you all!
This is my second script!
This Logic is trend following logic, This detects long & short trends by comparing the value of MAs.
This fits to the longer time frame.
### Long Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 > MA 2 > MA 3 > MA 4, then Enter Long Position
- ‘The arrangement of MAs in descending orders’ is the proxy of the long trend.
### Short Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 < MA 2 < MA 3 < MA 4, then Enter Short Position
- ‘The arrangement of MAs in ascending orders’ is the proxy of the short trend.
### Close Condition
1. When trend Changes
- When (MA 1 > MA 2 > MA 3 > MA 4) breaks or (MA 1 < MA 2 < MA 3 < MA 4) breaks.
2. When the price hits the stoploss
3. When the price hits the take profit level (basically 50% of qty will be closed)
### Etc
1. Trend filter (ATR should be bigger than SMA of ATR)
- If the volatility of price is to small (ATR), then there could be false signal. To filter this out, I used the condition ‘ATR should be larger than SMA of ATR’.
2. Stoploss
- Enabled Stoploss based on ATR, Percent, Risk-Reward Ratio,
- Enabled Trailing Stoploss.
3. Choose MA Type
- You can choose MA Type
+ Thanks for the stoploss template @jason5480
Up-Down RangeHere is an attempt to segregate ATR into ATR of up days and down days.
While setting trailing stops based on ATR, you probably need to consider more on how an instrument can drop during red days. Hence, ATR of only red days makes more compelling case than overall ATR. Another use case for this kind of indicator may be in options if you are selling puts and calls with the intent of pocketing premiums on expiry.
Parameters are as explained below:
Range Type : Different range types are tr (True Range) , close (difference between close prices), highlow (difference between high and low of candle)
Period : ATR Period
Moving Average Type : Moving Average Type for calculating ATR. Two additional types - min and max are added which calculates lowest and highest range in last n bars
HideFullAtr : Hides combined ATR if checked.
Risk Management: Position Size & Risk RewardHere is a Risk Management Indicator that calculates stop loss and position sizing based on the volatility of the stock. Most traders use a basic 1 or 2% Risk Rule, where they will not risk more than 1 or 2% of their capital on any one trade. I went further and applied four levels of risk: 0.25%, 0.50%, 1% and 2%. How you apply these different levels of risk is what makes this indicator extremely useful. Here are some common ways to apply this script:
• If the stock is extremely volatile and has a better than 50% chance of hitting the stop loss, then risk only 0.25% of your capital on that trade.
• If a stock has low volatility and has less than 20% change of hitting the stop loss, then risk 2% of your capital on that trade.
• Risking anywhere between 0.25% and 2% is purely based on your intuition and assessment of the market.
• If you are on a losing streak and you want to cut back on your position sizing, then lowering the Risk % can help you weather the storm.
• If you are on a winning streak and your entries are experiencing a higher level of success, then gradually increase the Risk % to reap bigger profits.
• If you want to trade outside the noise of the market or take on more noise/risk, you can adjust the ATR Factor.
• … and whatever else you can imagine using it to benefit your trading.
The position size is calculated using the Capital and Risk % fields, which is the percentage of your total trading capital (a.k.a net liquidity or Capital at Risk). If you instead want to calculate the position size based on a specific amount of money, then enter the amount in the Custom Risk Amt input box. Any amount greater than 0 in the Custom Risk Amt field will override the values in the Capital and Risk % fields.
The stop loss is calculated by using the ATR. The default setting is the 14 RMA, but you can change the length and smoothing of the true range moving average to your liking. Selecting a different length and smoothing affects the stop loss and position size, so choose these values very carefully.
The ATR Factor is a multiplier of the ATR. The ATR Factor can be used to adjust the stop loss and move it outside of the market noise. For the more volatile stock, increase the factor to lower the stop loss and reduce the chance of getting stopped out. For stocks with less volatility , you can lower the factor to raise the stop loss and increase position size. Adjusting the ATR Factor can also be useful when you want the stop loss to be at or below key levels of support.
The Market Session is the hours the market is open. The Market Session only affects the Opening Range Breakout (ORB) option, so it’s important to change these values if you’re trading the ORB and you’re outside of Eastern Standard Time or you’re trading in a foreign exchange.
The ORB is a bonus to the script. When enabled, the indicator will only appear in the first green candle of the day (09:30:00 or 09:30 AM EST or the start time specified in Market Session). When using the ORB, the stop loss is based on the spread of the first candle at the Open. The spread is the difference between the High and Low of the green candle. On 1-day or higher timeframes, the indicator will be the spread of the last (or current) candle.
The output of the indicator is a label overlaying the chart:
1. ATR (14 RMA x2) – This indicated that the stop loss is determined by the ATR. The x2 is the ATR Factor. If ORB is selected, then the first line will show SPREAD, instead of ATR.
2. Capital – This is your total capital or capital at risk.
3. Risk X% of Capital – The amount you’re risking on a % of the Capital. If a Custom Risk Amt is entered, then Risk Amount will be shown in place of Capital and Risk % of Capital.
4. Entry – The current price.
5. Stop Loss – The stop loss price.
6. -1R – The stop loss price and the amount that will be lost of the stop loss is hit.
7. – These are the target prices, or levels where you will want to take profit.
This script is primarily meant for people who are new to active trading and who are looking for a sound risk management strategy based on market volatility . This script can also be used by the more experienced trader who is using a similar system, but also wants to see it applied as an indicator on TradingView. I’m looking forward to maintaining this script and making it better in future revisions. If you want to include or change anything you believe will be a good change or feature, then please contact me in TradingView.
G-ATR Box V.1Hello this is my new adapt indicator "G-ATR Box V.1"
It's just nearly normal ATR but I create in box color. My problem when I use ATR trailing stop my screen is not clean and when I use finonacci or trend line is hard to see.
How to use
Blue = Pre-buy : Waiting for another buy signal
Green = Buy : Holding the stock
Yellow = Weak uptrend : Waiting for Sell signal
Red = Sell
In this screen I compare G-ATR Box(above) with G-MACD color(below)
When the stock strong uptend all of G-ATR and G-MACD is very work and When weak uptrend G-ATR is action frist but beware Bear trap too
goodluck
Minimum Average True RangeI use ATR a lot when designing trading strategies, this way the strategy adjusts to the instrument in most cases instead of me plugging in special numbers.
However, ATR itself could get spiked by some violent moves. For this I have created MinATR which I am publishing here.
It is effectively ATR + minimum ATR over the last "Min Length" bars. (this is a parameter which I have defaulted to 50).
So use this the same way you use ATR, but it will also show the min ATR over the last "Min Length" periods.
Accurate ATR Stop Loss Distance — Risk Management ToolAccurate ATR Stop Loss Distance — Risk Management Tool
This indicator calculates an accurate Stop Loss distance in pips using the Average True Range (ATR) multiplied by a user-defined multiplier.
It automatically detects the correct pip size based on the instrument type (Forex, Crypto, Stocks, Indices, Futures), adjusting for 2-, 3-, 4-, or 5-digit quotes — ensuring professional-grade precision that matches institutional ATR-based risk systems.
📊 Features:
Uses ATR × Multiplier to determine precise SL distance in pips.
Automatically adjusts pip value depending on the asset type (handles 5-digit Forex brokers).
Clean and minimal design — displays only one info box in the top-right corner.
Fully customizable text and background colors.
Includes alert condition for automated SL updates.
⚙️ How to use:
Set your preferred ATR period and multiplier.
The indicator instantly displays your Stop Loss distance in pips at the top-right of the chart.
Combine with your entry strategy to calculate lot size or risk per trade.
💡 Ideal for traders who want consistent, objective SL distances derived from volatility rather than arbitrary points or emotions.
Note: Educational and informational tool only. Does not execute trades or give financial advice.
(RSI + CCI) × (MACD/ATR)^2⚙️ (RSI + CCI) × (MACD / ATR)² Composite — Normalized, Compressed, Dynamic Colors
This advanced composite oscillator merges three powerful momentum indicators — RSI, CCI, and MACD — into one normalized and volatility-adjusted signal that reacts smoothly across all markets.
By dividing MACD by ATR (Average True Range), the indicator self-scales for different symbols, and an optional tanh-like compression prevents extreme spikes while keeping the movement fluid and responsive.
🧩 Core Formula
(RSI + CCI) × (MACD / ATR)²
(optionally passed through a tanh compression for stability)
RSI and CCI are normalized (RSI ÷ 50, CCI ÷ 100) → roughly −2 to +2 range.
MACD is volatility-adjusted by ATR → scale-independent between assets.
The result is centered around 0 for clear bullish/bearish momentum comparison.
🎨 Visual Features
🟢🔴 Dynamic 4-Color Histogram
Positive + Rising = Strong Teal
Positive + Falling = Light Teal
Negative + Falling = Strong Red
Negative + Rising = Light Red
🟡⚫ 4-Color Smoothing Line
Positive & Rising = Bright Yellow
Positive & Falling = Soft Yellow
Negative & Rising = Grey
Negative & Falling = Dark Grey
Zero-centered layout for intuitive bullish/bearish visualization.
⚙️ Adjustable Parameters
Individual RSI, CCI, and MACD lengths and sources.
ATR length for volatility normalization.
Optional tanh-style compression with adjustable gain (to keep values in ±1 range).
Fully customizable colors and line widths for both bars and smoothing line.
🔔 Alerts
Triggered automatically when the composite crosses above or below zero, signaling potential trend reversals or momentum shifts.
💡 How to Use
Composite > 0 → Bullish momentum ↑
Composite < 0 → Bearish momentum ↓
A brightening line or bar = momentum accelerating.
A fading color = momentum weakening or reversal forming.
Combine with higher-timeframe trend filters (EMA, VWAP, Supertrend) for confirmation.
Squeeze Hour Frequency [CHE]Squeeze Hour Frequency (ATR-PR) — Standalone — Tracks daily squeeze occurrences by hour to reveal time-based volatility patterns
Summary
This indicator identifies periods of unusually low volatility, defined as squeezes, and tallies their frequency across each hour of the day over historical trading sessions. By aggregating counts into a sortable table, it helps users spot hours prone to these conditions, enabling better scheduling of trading activity to avoid or target specific intraday regimes. Signals gain robustness through percentile-based detection that adapts to recent volatility history, differing from fixed-threshold methods by focusing on relative lowness rather than absolute levels, which reduces false positives in varying market environments.
Motivation: Why this design?
Traders often face uneven intraday volatility, with certain hours showing clustered low-activity phases that precede or follow breakouts, leading to mistimed entries or overlooked calm periods. The core idea of hourly squeeze frequency addresses this by binning low-volatility events into 24 hourly slots and counting distinct daily occurrences, providing a historical profile of when squeezes cluster. This reveals time-of-day biases without relying on real-time alerts, allowing proactive adjustments to session focus.
What’s different vs. standard approaches?
- Reference baseline: Classical volatility tools like simple moving average crossovers or fixed ATR thresholds, which flag squeezes uniformly across the day.
- Architecture differences:
- Uses persistent arrays to track one squeeze per hour per day, preventing overcounting within sessions.
- Employs custom sorting on ratio arrays for dynamic table display, prioritizing top or bottom performers.
- Handles timezones explicitly to ensure consistent binning across global assets.
- Practical effect: Charts show a persistent table ranking hours by squeeze share, making intraday patterns immediately visible—such as a top hour capturing over 20 percent of total events—unlike static overlays that ignore temporal distribution, which matters for avoiding low-liquidity traps in crypto or forex.
How it works (technical)
The indicator first computes a rolling volatility measure over a specified lookback period. It then derives a relative ranking of the current value against recent history within a window of bars. A squeeze is flagged when this ranking falls below a user-defined cutoff, indicating the value is among the lowest in the recent sample.
On each bar, the local hour is extracted using the selected timezone. If a squeeze occurs and the bar has price data, the count for that hour increments only if no prior mark exists for the current day, using a persistent array to store the last marked day per hour. This ensures one tally per unique trading day per slot.
At the final bar, arrays compile counts and ratios for all 24 hours, where the ratio represents each hour's share of total squeezes observed. These are sorted ascending or descending based on display mode, and the top or bottom subset populates the table. Background shading highlights live squeezes in red for visual confirmation. Initialization uses zero-filled arrays for counts and negative seeds for day tracking, with state persisting across bars via variable declarations.
No higher timeframe data is pulled, so there is no repaint risk from external fetches; all logic runs on confirmed bars.
Parameter Guide
ATR Length — Controls the lookback for the volatility measure, influencing sensitivity to short-term fluctuations; shorter values increase responsiveness but add noise, longer ones smooth for stability — Default: 14 — Trade-offs/Tips: Use 10-20 for intraday charts to balance quick detection with fewer false squeezes; test on historical data to avoid over-smoothing in trending markets.
Percentile Window (bars) — Sets the history depth for ranking the current volatility value, affecting how "low" is defined relative to past; wider windows emphasize long-term norms — Default: 252 — Trade-offs/Tips: 100-300 bars suit daily cycles; narrower for fast assets like crypto to catch recent regimes, but risks instability in sparse data.
Squeeze threshold (PR < x) — Defines the cutoff for flagging low relative volatility, where values below this mark a squeeze; lower thresholds tighten detection for rarer events — Default: 10.0 — Trade-offs/Tips: 5-15 percent for conservative signals reducing false positives; raise to 20 for more frequent highlights in high-vol environments, monitoring for increased noise.
Timezone — Specifies the reference for hourly binning, ensuring alignment with market sessions — Default: Exchange — Trade-offs/Tips: Set to "America/New_York" for US assets; mismatches can skew counts, so verify against chart timezone.
Show Table — Toggles the results display, essential for reviewing frequencies — Default: true — Trade-offs/Tips: Disable on mobile for performance; pair with position tweaks for clean overlays.
Pos — Places the table on the chart pane — Default: Top Right — Trade-offs/Tips: Bottom Left avoids candle occlusion on volatile charts.
Font — Adjusts text readability in the table — Default: normal — Trade-offs/Tips: Tiny for dense views, large for emphasis on key hours.
Dark — Applies high-contrast colors for visibility — Default: true — Trade-offs/Tips: Toggle false in light themes to prevent washout.
Display — Filters table rows to focus on extremes or full list — Default: All — Trade-offs/Tips: Top 3 for quick scans of risky hours; Bottom 3 highlights safe low-squeeze periods.
Reading & Interpretation
Red background shading appears on bars meeting the squeeze condition, signaling current low relative volatility. The table lists hours as "H0" to "H23", with columns for daily squeeze counts, percentage share of total squeezes (summing to 100 percent across hours), and an arrow marker on the top hour. A summary row above details the peak count, its share, and the leading hour. A label at the last bar recaps total days observed, data-valid days, and top hour stats. Rising shares indicate clustering, suggesting regime persistence in that slot.
Practical Workflows & Combinations
- Trend following: Scan for hours with low squeeze shares to enter during stable regimes; confirm with higher highs or lower lows on the 15-minute chart, avoiding top-share hours post-news like tariff announcements.
- Exits/Stops: Tighten stops in high-share hours to guard against sudden vol spikes; use the table to shift to conservative sizing outside peak squeeze times.
- Multi-asset/Multi-TF: Defaults work across crypto pairs on 5-60 minute timeframes; for stocks, widen percentile window to 500 bars. Combine with volume oscillators—enter only if squeeze count is below average for the asset.
Behavior, Constraints & Performance
Logic executes on closed bars, with live bars updating counts provisionally but finalizing on confirmation; table refreshes only at the last bar, avoiding intrabar flicker. No security calls or higher timeframes, so no repaint from external data. Resources include a 5000-bar history limit, loops up to 24 iterations for sorting and totals, and arrays sized to 24 elements; labels and table are capped at 500 each for efficiency. Known limits: Skips hours without bars (e.g., weekends), assumes uniform data availability, and may undercount in sparse sessions; timezone shifts can alter profiles without warning.
Sensible Defaults & Quick Tuning
Start with ATR Length at 14, Percentile Window at 252, and threshold at 10.0 for broad crypto use. If too many squeezes flag (noisy table), raise threshold to 15.0 and narrow window to 100 for stricter relative lowness. For sluggish detection in calm markets, drop ATR Length to 10 and threshold to 5.0 to capture subtler dips. In high-vol assets, widen window to 500 and threshold to 20.0 for stability.
What this indicator is—and isn’t
This is a historical frequency tracker and visualization layer for intraday volatility patterns, best as a filter in multi-tool setups. It is not a standalone signal generator, predictive model, or risk manager—pair it with price action, news filters, and position sizing rules.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Thanks to Duyck
for the ma sorter
Session-Conditioned Regime ATRWhy this exists
Classic ATR is great—until the open. The first few bars often inherit overnight gaps and 24-hour noise that have nothing to do with the intraday regime you actually trade. That inflates early ATR, scrambles thresholds, and invites hyper-recency bias (“today is crazy!”) when it’s just the open being the open.
This tool was built to:
Separate session reality from 24h noise. Measure volatility only inside your defined session (e.g., NYSE 09:30–16:00 ET).
Judge candles against the current regime, not the last 2–3 bars. A rolling statistic from the last N completed sessions defines what “typical” means right now.
Label “large” and “small” objectively. Bars are colored only when True Range meaningfully departs from the session regime—no gut feel, no open-bar distortion (gap inclusion optional).
Overview
Purpose: objectively identify unusually big or small candles within the active trading session, compared to the recent session regime.
Use cases: volatility filters, entry/exit confirmation, session bias detection, adaptive sizing.
This indicator replaces generic ATR with a session-conditioned, regime-aware measure. It colors candles only when their True Range (TR) is abnormally large/small versus the last N completed sessions of the same session window.
How it works
Session gating: Only bars inside the selected session are evaluated (presets for NYSE, CME RTH, FX NY; custom supported).
Per-bar TR: TR = max(high, prevRef) − min(low, prevRef).
prevRef is the prior close for in-session bars.
First bar of the session can include the overnight gap (optional; default off).
Regime statistic: For any bar in session k, aggregate all in-session TRs from the previous N completed sessions (k−N … k−1), then compute Median (default) or Mean.
Today’s anchor: Running statistic from today’s session start → current bar (for context and the on-chart ratio).
Color logic:
Big if TR ≥ bigMult × RegimeStat
Small if TR ≤ smallMult × RegimeStat
Colored states: big bull, big bear, small bull, small bear.
Non-triggering bars retain the chart’s native colors.
Panel (top-right by default)
Regime ATR (Nd): session-conditioned statistic over the past N completed sessions.
Today ATR (anchored): running statistic for the current session.
Ratio (Today/Regime): intraday volatility vs regime.
Sample size n: number of bars used in the regime calculation.
Inputs
Session Preset: NYSE (09:30–16:00 ET), CME RTH (08:30–15:00 CT), FX NY (08:00–17:00 ET), Custom (session + IANA timezone).
Regime Window: number of completed sessions (default 5).
Statistic: Median (robust) or Mean.
Include Open Gap: include overnight gap in the first in-session bar’s TR (default off).
Big/Small thresholds: multipliers relative to RegimeStat (defaults: Big=1.5×, Small=0.67×).
Colors: four independent colors for big/small × bull/bear.
Panel position & text size.
Hidden outputs: expose RegimeStat, TodayStat, Ratio, and Z-score to other scripts.
Alerts
RegimeATR: BIG bar — triggers when a bar meets the “Big” condition.
RegimeATR: SMALL bar — triggers when a bar meets the “Small” condition.
Hidden outputs (for strategies/screeners)
RegimeATR_stat, TodayATR_stat, Today_vs_Regime_Ratio, BarTR_Zscore.
Notes & limitations
No look-ahead: calculations only use information available up to that bar. Historical colors reflect what would have been known then.
Warm-up: colors begin once there are at least N completed sessions; before that, regime is undefined by design.
Changing inputs (session window, multipliers, median/mean, gap toggle) recomputes the full series using the same rolling regime logic per bar.
Designed for standard candles. Styling respects existing chart colors when no condition triggers.
Practical tips
For a broader or tighter notion of “unusual,” adjust Big/Small multipliers.
Prefer Median in markets prone to outliers; use Mean if you want Z-score alignment with the panel’s regime mean/std.
Use the Ratio readout to spot compression/expansion days quickly (e.g., <0.7× = compressed session, >1.3× = expanded).
Roadmap
More session presets:
24h continuous (crypto, index CFDs).
23h/Globex futures (CME ETH with a 60-minute maintenance break).
Regional equities (LSE, Xetra, TSE), Asia/Europe/NY overlaps for FX.
Half-day/holiday templates and dynamic calendars.
Multi-regime comparison: track multiple overlapping regimes (e.g., RTH vs ETH for futures) and show separate stats/ratios.
Robust stats options: trimmed mean, MAD/Huber alternatives; optional percentile thresholds instead of fixed multipliers.
Subpanel visuals: rolling TodayATR and Ratio plots; optional Z-score ribbon.
Screener/strategy hooks: export boolean series for BIG/SMALL, plus a lightweight strategy template for backtesting entries/exits conditioned on regime volatility.
Performance/QOL: per-symbol presets, smarter warm-up, and finer control over sample caps for ultra-low TF charts.
Changelog
v0.9b (Beta)
Session presets (NYSE/CME RTH/FX NY/Custom) with timezone handling.
Panel enhancements: ratio + sample size n.
Four-state bar coloring (big/small × bull/bear).
Alerts for BIG/SMALL bars.
Hidden Z-score stream for downstream use.
Gap-in-TR toggle for the first in-session bar.
Disclaimer
For educational purposes only. Not investment advice. Validate thresholds and session settings across symbols/timeframes before live use.
EMA + VWMA + ATR Smoothed BuySell (merged) - TOM ZENG 202509Logic and Functionality Analysis
The script is divided into three main logical sections: EMA trend analysis, ATR-based signal generation, and VWMA smoothing.
1. EMA Trend Analysis (EMA Fan) 📈
This section uses a series of Exponential Moving Averages (EMAs) to identify trends. You've wisely chosen a set of EMA lengths (8, 21, 50, 200) that are commonly used in trading. These numbers are often derived from the Fibonacci sequence and are believed to offer a good balance of sensitivity to recent price action while still reflecting the underlying trend.
Purpose: The EMAs serve as dynamic support and resistance levels. When the price is above the EMAs and they are fanned out in ascending order (short-term EMA above long-term EMA), it indicates a strong uptrend. Conversely, a descending order indicates a downtrend.
Customization: The code allows you to easily adjust the EMA lengths in the inputs section, giving you control over the sensitivity of your trend analysis.
2. ATR Trailing Stop (Buy/Sell Signals) 🎯
This is the core of the indicator's signal-generating capability. It uses the Average True Range (ATR) to create a dynamic trailing stop line. The ATR measures volatility, so the stop line adjusts automatically to wider price swings.
Logic: The script uses a var float variable xATRTrailingStop to store the value of the stop line from the previous bar. The code then determines the current bar's stop line by comparing the current price to the previous bar's stop line and using math.max and math.min to smoothly move the line along with the trend.
Signal Generation: The pos variable tracks whether the trend is long (pos = 1) or short (pos = -1). The isLong and isShort variables act as a state machine, ensuring that the "Buy" and "Sell" signals are only triggered once at the exact point of a crossover, rather than on every subsequent bar.
Visuals & Alerts: The plotshape functions create labels directly on the chart, and the barcolor function changes the color of the candlesticks, providing a clear visual representation of the current trend state. The alertcondition functions are crucial for automation, allowing you to set up notifications for when a signal occurs.
3. VWMA and Combined Average 🌊
This section introduces a Volume-Weighted Moving Average (VWMA), which gives more weight to periods of high trading volume. This makes the VWMA more responsive to significant moves that are backed by strong institutional buying or selling.
Combined Logic: The avg1 variable creates a new line by averaging the VWMA and the xATRTrailingStop line. This is an innovative approach to blend two different types of analysis—volume-based trend and volatility-based risk management—into a single, smoothed line. It can act as an additional filter or a unique trading signal on its own.
Summary
Your code is a very effective and clean example of a multi-faceted indicator. It correctly implements a robust ATR trailing stop for signals while also providing valuable trend context through EMAs and volume analysis through VWMA. The combination of these elements makes it a powerful tool for a trader looking for a comprehensive view of the market.
Double Median ATR Bands | MisinkoMasterThe Double Median ATR Bands is a version of the SuperTrend that is designed to be smoother, more accurate while maintaining a good speed by combining the HMA smoothing technique and the median source.
How does it work?
Very simple!
1. Get user defined inputs:
=> Set them up however you want, for the result you want!
2. Calculate the Median of the source and the ATR
=> Very simple
3. Smooth the median with √length (for example if median length = 9, it would be smoothed over the length of 3 since 3x3 = 9)
4. Add ATR bands like so:
Upper = median + (atr*multiplier)
Lower = median - (atr*multiplier)
Trend Logic:
Source crossing over the upper band = uptrend
Source crossing below the lower band = downtrend
Enjoy G´s!
Bullish Divergence SMI Base & Trigger with ATR FilterDescription:
A bullish divergence indicator combining the Stochastic Momentum Index (SMI) and Average True Range (ATR) to pinpoint high-probability entries:
1. Base Arrow (Orange ▲):
• Marks every SMI %K / %D bullish crossover where %K < –70 (deep oversold)—the first half of the divergence setup.
• Each new qualifying crossover replaces the previous base, continuously “arming” the divergence signal.
• Configurable SMI lookbacks, oversold threshold, and a base timeout (default 100 days) to clear stale bases.
2. Trigger Arrow (Green ▲):
• Completes the bullish divergence: fires on the next SMI bullish crossover where %K > –60 and price has dropped below the base arrow’s close by at least N × ATR (default 1 × 14-day ATR).
• A dashed green line links the base and trigger to visually confirm the divergence.
• Resets after triggering, ready for a new divergence cycle.
Inputs:
• SMI %K Length, EMA Smoothing, %D Length
• Oversold Base Level (–70), Trigger Level (–60)
• ATR Length (14), ATR Multiplier (1.0)
• Base Timeout (100 days)
Ideal for any market, this study highlights genuine bullish divergences—oversold momentum crossovers that coincide with significant price reactions—before entering long trades.
EMA+ATR Band MTF Trend EntryThis is a Multi-Timeframe Trend Trading indicator strategy adapted from Sahil Rohmehtra’s Mentorship programme. The trading decision is made by first accessing the trend in higher timeframe (say Monthly) by using TWO EMAs. If the faster EMA (say 20 period) is above Slower EMA (say 50 period) and the price is above slower EMA then the trend is suitable for buyers. Similarly if faster EMA is below slow EMA and the price is below that then trend is suitable for sellers.
Once we access the trend in the higher timeframe we move to the lower timeframe (say Weekly) and access the 5-period RSI value. If RSI is below 30 then we can prepare for possible buy entry in lower (Daily) timeframe if entry conditions are met in daily timeframe. Similarly sell bias can be initiated when the higher timeframe EMA trend is down, daily RSI is above 70 and sell entry condition is met in daily timeframe. The RSI thresholds can be changed by the user.
Once we identified the RSI bias then wait for the confirmation candle in the lower timeframe (say 1 hour). In the entry timeframe we plot a band of 20 EMA of LOWs ± 1 ATR lines. Here,we wait for a candle to close above the 20 EMA of LOWs + 1 ATR for a buy signal with an increase in On Balance Volume (OBV) value. Similarly for sell signal we should get a candle close below the 20 EMA of LOWs - 1 ATR with corresponding change in OBV. This candle is the signal candle.
Once we get a Buy or Sell signal the corresponding stop loss is the nearest LOW - 1 ATR or HIGH + 1 ATR. The ATR scaling may be changed by the user. Now if another candle closes above the high of the buy signal candle then enter on buy. If the low of the buy signal candle is broken then it is a potential short-term sell entry. Similarly if another candle closes below the sell signal candle then enter short and if there is a close above high of the signal candle then it is a potential buy entry.
Range Filter + ATR Strategy (Low Drawdown)Key Features for Low Drawdown:
Range Filter: Identifies trends while filtering out market noise
ATR-based Position Sizing: Adjusts position size based on volatility to risk a fixed percentage of capital
Trailing Stops: Uses ATR-based trailing stops to lock in profits and limit losses
Conservative Risk Parameters: Defaults to 1% risk per trade (adjustable)
Trend Confirmation: Requires two consecutive closes above/below the range filter
How to Use:
The strategy enters long when price is above the upper range filter for two consecutive bars
Enters short when price is below the lower range filter for two consecutive bars
Uses ATR to size positions appropriately for current volatility
Implements trailing stops based on ATR to protect profits
Optimization Tips:
Adjust the Range Filter period based on your timeframe
Modify the risk percentage (1% is conservative)
Tweak the ATR multiple for trailing stops (1.5 is moderate)
Consider adding a time-based exit if drawdown is still too high
