CalculatePercentageSlTpLibrary "CalculatePercentageSlTp"
This Library calculate the sl and tp amount in percentage
sl_percentage(entry_price, sl_price)
this function calculates the sl value in percentage
Parameters:
entry_price : indicates the entry level
sl_price : indicates the stop loss level
Returns: stop loss in percentage
tp_percentage(entry_price, tp_price)
this function calculates the tp value in percentage
Parameters:
entry_price : indicates the entry level
tp_price : indicates the take profit level
Returns: take profit in percentage
sl_level(entry_price, sl_percentage)
this function calculates the sl level price
Parameters:
entry_price : indicates the entry level
sl_percentage : indicates the stop loss percentage
Returns: stop loss price in $
tp_level(entry_price, tp_percentage)
this function calculates the tp level price
Parameters:
entry_price : indicates the entry level
tp_percentage : indicates the take profit percentage
Returns: take profit price in $
在脚本中搜索"tp"
FX Profit CalculatorWith this indicator, you will be able to see how much you earn in forex in dollar terms.
It asks you 3 things when adding the indicator.
TP point
SL point
Position Entry point
If you have selected the TP point above, the entry zone below it, and the SL point below it, the indicator will automatically understand that there is a BUY order and will make the calculations accordingly.
The same is true for the opposite.
When you use the indicator in any parity, you will have problems switching to other parities.
So either use it only in one parity, or update your targets from the indicator settings at every parity change.
You will get the same error if:
Your trading entry point should be between your TP and SL points. If you do not set it this way, the indicator will warn that please fix it.
If you are in the trade, tick the settings and show the dollar-based profit of your position according to the instant closing price.
The percentage variable works like this:
When you adjust for one parity, shifts occur in the chart when you switch to the other parity. When switching to non-circulating graphics at the same prices, the user is prompted to re-enter so that the graphic does not deteriorate.
BONUS : You can move these lines up and down with your mouse on the graphic :)
Gap Absorption StrategyLike the nature, markets don't like the void, and this is something we can take advantage of by trading gaps on some markets.
This technique is well known, so I wanted to write a tiny script based on this strategy to get a bit more comfortable with it.
IMPORTANT: Default parameters wont give you good trades on every markets, you need to modify these parameters to see which proportions correspond to the stock you're trading.
This script triggers signals on predefined variation of a stock price after a gap, and allows its user to configure TP and SL prices corresponding to a specific percentage of this gap movement.
Note: We can observe that opening gaps are often the most interesting.
Options
Trigger: the price variation you want to trigger on (in % of the price)
Stop Loss : in % of the gap
Take profit : in % of the gap
A small table is displayed in the top right corner of the chart to give you TP/SL/Signal prices for each opportunity
SL (red line) and TP (green line) are also displayed on the chart when a signal is triggered
Information concerning the current opportunity is given at the bottom of the chart
Note: This script is based on the Gap-Size-Indicator that I published a few weeks ago.
Lot Size by doclribeiroThis script calculate which values should LOT, SL and TP be to trade the pair selected on TM
By default SL and TP are calculated using ATR: timeframe 1H for SL and timeframe 15min for TP.The user can also specify the SL and also the TP, or the amount of pipets to calculate SL or TP.
Kind Regrads
Miguel Campos
Zendog V3 backtest DCA bot 3commasMAJOR UPDATE:
- Update to Pinescript v5
- MAJOR refactor for the logic of how orders are placed. BO order is placed when the condition is first encountered and we are not in a deal.
The extra SO orders (if based on price movement) are all placed on the next candle after BO order, instead of each being placed one after another.
Take profit (if percentage) and Stop loss are placed on the first candle after BO order because if BO and TP are on the same candle TV does not execute properly.
These changes should improve strategy accuracy when multiple prices are hit by the same candle.
- NEW FEATURE: Support to Stop deal using an external indicator (i.e. stop long deal when RSI > 80)
- NEW FEATURE: Support to trigger Safety orders using an external indicator (i.e. trigger each additional SO when RSI < 10, regardless of price movement)
The price movement logic may be implemented in the indicator that plots start / end signals. The SO size is calculated using the configuration of steps.
- NEW FEATURE: Safety order command for 3commas bot. This is implemented using Add funds in the quote currency (for pair BTCUSDT the quote currency is USDT)
The SO size is calculated using the configuration of steps, for exact order size (and price) use the built-in Steps table.
- NEW FEATURE: Addition of extra columns to the steps table: Required price for TP, Required % change for TP, Required % change for BEP (Breakeven point)
- Update to steps table to remove prices when Safety orders are not based on % price change
- The code is opensource. I will not be able to sustain merges for the script, but feel free to use and develop your own version and ping me on discord to review them
and maybe include in the original script
Bagheri IG Ether v2In this version, the winning ratio has been decreased, but the Risk to Reward Ratio (RRR) has been set to be better than the previous version.
This is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer.
The main indicators are Donchian Channel, Oscillator of ROC , Bears Power, Balance of Power , and Simple Moving Average ( SMA ). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results.
Please notice that this strategy has been optimized on the 1-minute chart of Ethereum .
For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script.
Attention: The price of Ethereum has 2 decimal places.
Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
Bagheri IG EtherThis is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer.
The main indicators are Donchian Channel, Oscillator of ROC, Bears Power, Balance of Power, and Simple Moving Average (SMA). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results.
Please notice that this strategy has been optimized on the 1-minute chart of Ethereum.
For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script.
Attention: The price of Ethereum has 2 decimal places.
Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
CCI 5 LEVELS BY MOADThe Commodity Channel Index ( CCI ) is a momentum oscillator used in technical analysis primarily to identify overbought and oversold levels by measuring an instrument's variations away from its statistical mean. Besides overbought/oversold levels, CCI is often used to find reversals as well as divergences. Originally, the indicator was designed to be used for identifying trends in commodities , however it is now used in a wide range of financial instruments.
There are several steps involved in calculating the CCI . The following example is for a typical 14 Period CCI:
CCI = (Typical Price - 14 Period SMA of TP) / (.015 x Mean Deviation)
Typical Price (TP) = (High + Low + Close)/3
Constant = .015
The Constant is set at .015 for scaling purposes. By including the constant, the majority of CCI values will fall within the 100 to -100 range.
Mean Deviation:
1) Subtract the most recent 14 Period Simple Moving from each typical price (TP) for the Period.
2) Sum these numbers strictly using absolute values.
3) Divide the value generated in step 2 by the total number of Periods (14 in this case).
Overbought and Oversold conditions can be used in their more traditional sense to identify future reversals. Remember true overbought/oversold thresholds values can and often do vary between instruments.
During a Bullish Trend, price crossing above the overbought threshold may indicate strong confidence in the move and price will continue to rise.
During a Bearish Trend, price crossing below the oversold threshold may indicate strong confidence in the move and price will continue to fall.
The first option is a modified CCI indicator that uses the "Arnaud Legoux Moving Average" instead of the SMA , and the source uses the VWAP instead of the HLC3. Added to this version an option to calculate CCI with different types of moving averages:
Green dots mean they are overbought
Orange dots mean they are oversold
Added a "SuperTrend Background" based on the modified CCI indicator:
Bull event = CCI crossing over the 0 line
Bear event = CCI crossing below the 0 line
Added a signal as EMA (modified CCI , signal length)
The second option is a standard CCI indicator that shows a coloured histogram of important levels, giving a good visual of the CCI levels. Added to this version is an extra coloured level +/-200 and an option to use Traditional CCI calculations according to user @JustUncleL
LEVELS:
Aqua: Greater than 200.
Lavender: Greater than 100 and less than 200.
Dark Lavender: Greater than 0 and less than 100.
Dark Coral: Less than 0 and greater than -100.
Coral: Less than -100 and greater than -200.
Light Red: Less than -200.
Double CCIThe Commodity Channel Index (CCI) is a momentum oscillator used in technical analysis primarily to identify overbought and oversold levels by measuring an instrument's variations away from its statistical mean. Besides overbought/oversold levels, CCI is often used to find reversals as well as divergences. Originally, the indicator was designed to be used for identifying trends in commodities, however it is now used in a wide range of financial instruments.
There are several steps involved in calculating the CCI. The following example is for a typical 14 Period CCI:
CCI = (Typical Price - 14 Period SMA of TP) / (.015 x Mean Deviation)
Typical Price (TP) = (High + Low + Close)/3
Constant = .015
The Constant is set at .015 for scaling purposes. By including the constant, the majority of CCI values will fall within the 100 to -100 range.
Mean Deviation:
1) Subtract the most recent 14 Period Simple Moving from each typical price (TP) for the Period.
2) Sum these numbers strictly using absolute values.
3) Divide the value generated in step 2 by the total number of Periods (14 in this case).
Overbought and Oversold conditions can be used in their more traditional sense to identify future reversals . Remember true overbought/oversold thresholds values can and often do vary between instruments.
During a Bullish Trend , price crossing above the overbought threshold may indicate strong confidence in the move and price will continue to rise.
During a Bearish Trend , price crossing below the oversold threshold may indicate strong confidence in the move and price will continue to fall.
The first option is a modified CCI indicator that uses the "Arnaud Legoux Moving Average" instead of the SMA, and the source uses the VWAP instead of the HLC3. Added to this version an option to calculate CCI with different types of moving averages:
Green dots mean they are overbought
Orange dots mean they are oversold
Added a "SuperTrend Background" based on the modified CCI indicator:
Bull event = CCI crossing over the 0 line
Bear event = CCI crossing below the 0 line
Added a signal as EMA (modified CCI, signal length)
The second option is a standard CCI indicator that shows a coloured histogram of important levels, giving a good visual of the CCI levels. Added to this version is an extra coloured level +/-200 and an option to use Traditional CCI calculations according to user @JustUncleL
LEVELS:
Aqua: Greater than 200.
Lavender: Greater than 100 and less than 200.
Dark Lavender: Greater than 0 and less than 100.
Dark Coral: Less than 0 and greater than -100.
Coral: Less than -100 and greater than -200.
Light Red: Less than -200.
money managementthis indicator has been designed to make your calculations easier and faster.
you can use this indicator to set tp and sl prices based on your entry price, balance,risk and leverage.
it has been designed only for cryptocurrency market and it is not recommended to use it in other markets!
1- enter your balance in the setting of the indicator.
2- enter risk percentage of your balance.
3- enter your sl percentage.
4- enter your tp percentage.
5- set your leverage if you are trading in futures market.
6- and at last set your entry price.
your position size both in spot market and futures market and the exact price of tp and sl , will be shown top right of the screen.
caution: before using this indicator in real market, please make sure that you understand this indicator's behavior and test it.
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این اندیکاتور برای تسریع محاسبات مدیریت سرمایه و سهولت رعایت آن طراحی شده است.
شما میتوانید با وارد کردن پارامترهاقیمت ورودی، سرمایه کل، ریسک و اهرم، قیمت حد سود و ضرر خود را محاسبه کنید.
همچنین اندازه حجم معاملات شما توسط این اندیکاتور محاسبه خواهد شد.
این اندیکاتور برای بازار کریپتوکارنسی طراحی شده است و استفاده از آن در سایر بازارها پیشنهاد نمیشود.
از بخش تنظیمات اندیکاتورمراحل زیر را انجام دهید:
1- میزان سرمایه خود را در قسمت بالانس وارد کنید
2- میزان ریسک سرمایه در هر معامله را مشخص کنید (به درصد)
3- میزان حد ضرر خود را مشخص کنید (به درصد)
4- میزان حد سود خود را مشخص کنید (به درصد)
5- عدد اهرم خود را وارد کنید
6- قیمت ورود به معامله را وارد کنید
توجه: قبل از استفاده این اندیکاتور در بازار لایو لطفا آن را تست کنید و از کارکرد صحیح آن با مدیریت سرمایه خود اطمینان حاصل فرمایید.
[fareid] Quick Backtest Framework█ OVERVIEW
This Framework allows Pine Coders to quickly code Study() based signal/strategy and validate its viability before proceed to code with more advance/complex customized rules for entry, exit, trailstop, risk management etc..
This is somewhat an upgraded version of my earlier personal template with different strategy used, cleaner code
and additional features.
█ USE CASES
- You have an idea for trade signal and need a quick way to verify its potential before writing lengthy/complicated code
- You found a study script for trading signal in public library and want to validate it profitability with minimum effort before including it in your trading playbook
█ FEATURES
- Alert: Ready to use alert function based on signals from your custom indicator.
- Visual Backtest: Auto-plot entry, stop-loss and take profit for simple strategy performance analysis
- Backtest Statistic: Provide basic key metrics based on backtest strategy
- BTE External Signal Protocol: Ready to use code that will supply required state to PineCoders Backtesting & Trading Engine if you wish to have more advance and sophisticated backtesting engine
Notes: All of the above features have On/Off toggle
█ Description & How To Use
This Framework consist of 5 Modules but you only need to edit the first 2 Modules:
Module1: Indicator
Module2: Framework Input Protocol
Module3: Alert
Module4: Backtest
Module5: Backtest & Trading Engine
Tips: The source-code includes collapsible block by module for easy navigating
Module1: Indicator:
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Main Module. Place custom indicator input parameter/calculation/indicator plotting here
Sample Strategy: Double MACD Crossover
MACD Signal: 1st MACD Cross above signal line indicate Buy Signal
1st MACD Cross below signal line indicate Sell Signal
MACD Filter: 2nd MACD is above 0 line indicate Uptrend
2nd MACD is below 0 line indicate Downtrend
Module2: Framework Input Protocol:
-----------------------------------------------------------------------------------
Use this module to connect main indicator/signal calculated in Module1 to the rest of the framework's module
4 variables needed to be defined here:
1. Uptrend
2. Dntrend
3. BuySignal
4. SellSignal
i'm not sure how to place a code snippet here to show you example so in the source code i already put a comment in Module2 on which part u need to edit. I hope its pretty simple to use.
Module3: Alert Module Description:
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As long as the variables in Module2 properly defined, the alert module is ready to use without any further modification.
Input:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
Module4: Backtest Module Description:
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As long as the variables in Module2 properly defined, the backtest module is ready to use without any further modification.
Input:
Backtest Stat --> Enable Backtest Statistic Label
Backtest Visual --> Enable Backtest visual simulation
Backtest Type --> Set to take Buy only or Sell only or both
SL Type -->
ATR : Set SL in ATR times Multiplier below entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar: Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Multi --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
Module5: Backtest & Trading Engine Description:
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As long as the variables in Module2 properly defined, the Pinecoders BTE module is ready to use without any further modification.
Input:
External Signal Protocol --> Set ESP State to send to "Backtesting & Trading Engine "
Signal With Filter --> Use this to send entry signal that already filtered by this study indicator (without stoploss level)
Signal Without Filter --> Use this to send raw entry signal that are NOT YET FILTERED by this study indicator (without stoploss level)
Signal and Stop With Filter --> Use this to send entry signal WITH StopLoss that already filtered by this study indicator (with stoploss level)
Signal and Stop Without Filter --> Use this to send raw entry signal WITH StopLoss that are NOT YET FILTERED by this study indicator (with stoploss level)
Notes: Backtesting & Trading Engine already have built-in Filter, Entries and Stop Level. e.g. Unselect all their filter state if only want to use custom filter and make sure send Signal with Filter (with or without SL level)
█ DISCLAIMER:
This framework main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
The sample strategy included are for educational purpose only. Use at your own risk
credit: LucF/PineCoders for a lot of his scripts that i use as a guide to complete this
MACD With Trend Filter: Visual Backtest Module TemplateSample Strategy: MACD Crossover with trend filter options
MA Filter : Price Close Above MA, Search for Buy, Price Close Below MA, Search for Sell
ADX Filter : Take trade only when ADX is above certain treshold
MACD Signal : MACD Cross above signal line while under 0 line indicate Buy Signal
MACD Cross below signal line while above 0 line indicate Sell Signal
-----------------------------
Using Alert Module:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
----------------------------
Using Backtest Module:
Enable Backtest --> Enable Backtest simulation
Backtest Type --> Set to take Buy only, Sell only or Both
SL Type -->
ATR : Set SL in ATR times Multiplier below/above entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar : Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Period --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL (Use when SL Type is either Fixed or HiLo Bar)
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
----------------------------
Disclaimer:
This script main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
Testing Alert Module so i can re-use it as template in future study/indicator
Testing Visual Backtest Module so i can re-use it as template in future study/indicator
i believe using Strategy function is a better approach for this but the entry/exit level seems to be hit n miss (at least for me, still trying to figure what i did wrong)
also, i rather code the strategy in other platform where i can use the more accurate tick data if i want to validate backtest statistics.
My study scripts was built only to test/visualize an idea to see its viability and if it can be used to optimize existing strategy.
credit: ADX code are originally from "ADX and DI" by @BeikabuOyaji although i re-wrote so i can have cleaner read and use RMA instead of SMA
Stepped trailing strategy exampleThis is a stepped trailing exit example for educational purpose .
Short brief.
There are 1 stop loss and 3 profit levels.
When first tp is reached we move stop loss to break-even.
When second tp is reached we move stop loss to first tp.
When third tp is reached we exit by profit.
Position Size CalculatorThis is a script to make calculating position size easier. It calculates position size as a percentage of account balance and Risk/Reward based on input values of entry, exit, stoploss and shows the R/R box similar to tradingview's R/R tool. There is an option to toggle showing label and choosing of label text color.
Have to enter the following inputs in order for it to work properly
1. Account Balance : Account balance in either whatever is base currency of account
2. Risk % : Percentage of account balance to lose if stop is hit.
3. Entry
4. Stoploss
5. Target Price
Notes:
- Target Price is required for calculating R/R but is not necessary to calculate position size.
- Formula to calculate position size is : Balance * Risk % / SL %
- Formula to calculate R/R is : TP % / SL %
- SL % = ( Entry - SL ) / Entry * 100
- TP % = (TP - Entry ) / Entry * 100
Thanks to u/Chonky_ for help with feedback.
Point and Figure (PnF) CCIThis is live and non-repainting Point and Figure Chart Commodity Channel Index - CCI tool. The script has it’s own P&F engine and not using integrated function of Trading View.
Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart.
P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
Commodity Channel Index – CCI was developed by Donalt Lambert. CCI can be used to identify overbought or oversold, a new trend or warn of extreme conditions. CCI measures the difference between a security's price change and its average price change. High positive readings indicate that prices are well above their average, which is a show of strength. Low negative readings indicate that prices are well below their average, which is a show of weakness.
The Formula for the Commodity Channel Index ( CCI ) Is:
CCI = (Typical Price – L-period SMA of TP) / (0.015 * Mean Deviation)
Mean Deviation = (SumOf 1->L ( |TP – MA| )) / L
L = Length
TP = Typical Price
If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources.
Options in the Script
Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined
4 different methods for Box size can be used in this tool.
User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals.
ATR: Box size is dynamically calculated by using ATR, default period is 20.
Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1
Traditional: uses a predefined table of price ranges to determine what the box size should be.
Price Range Box Size
Under 0.25 0.0625
0.25 to 1.00 0.125
1.00 to 5.00 0.25
5.00 to 20.00 0.50
20.00 to 100 1.0
100 to 200 2.0
200 to 500 4.0
500 to 1000 5.0
1000 to 25000 50.0
25000 and up 500.0
Default value is “ATR”, you may use one of these scaling method that suits your trading strategy.
If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001.
And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed.
Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart.
Source: Closing price or High-Low prices can be chosen as data source for P&F charting.
Upper Band : as default, Upper band is 100
Lower Band : as default, Lower band is -100
There are alerts when P&F CCI moves above Upper Band or moves below Lower Band.
Bollinger MTFSo this is a Bollinger resistance and support map, I just convert it to v4 and add info for current upper and lower levels
The length is 60 (instead of regular 20) and we make it to be MTF
Ok , so how this system work
we choose TF and I normaly use 3x or 4X of the MTF (you can choose your own)
then we need to decide if we want to long or short
if we go long then the buy point will be the lower value and TP will be TP in green -
If we go short then our entry value will be upper and TP (take profit) will be in red
so one can put few tweeks and make this system to be more automatic , but I just show this as a easy concept for trade system
the main issue in such system is properly to decide when to go short or when to go long
that why you need to add other indicators in order to make this call and make this system effective
Scalp BTC/ETH — Reversal & Continuation (v1, Pine v6)Scalp BTC/ETH — Reversal & Continuation (1m à 10m)
Cet indicateur détecte des opportunités de micro-scalping sur futures (BTC/ETH) basées sur deux mécaniques courtes validées par structure de prix :
A) Reversal de pression (contre-mouvement contrôlé)
Détection d’une sur-extension brutale suivie d’une absorption sur la bougie suivante.
Objectif : capturer la première respiration après un excès de prix (rejet court).
B) Continuation courte (momentum + reprise)
Détection de 3 bougies directionnelles consécutives suivies d’un pullback léger, puis signal sur la reprise du mouvement initial.
Gestion intégrée (scénario standard TP dynamique)
TP1 → 50% de la position à un gain fixe (% adaptable au timeframe)
Stop déplacé au Break-Even sur le restant
Sortie finale sur bougie inverse significative
(correction ≥ X% du corps précédent) ou timeout (max bars en trade)
Scalp BTC/ETH — Reversal & Continuation (1m to 10m)
This indicator detects short-term futures scalping setups on BTC & ETH using two mechanical price-action models designed for fast execution:
A) Reversal Compression (counter-move entry)
Identifies a sharp impulse (overextension) followed by absorption / failure to extend on the next candle.
Objective: capture the first corrective pullback after exhaustion.
B) Controlled Continuation (momentum follow-through)
Identifies 3 consecutive trend candles, then a shallow pullback, and triggers an entry on the resumption of the main leg.
Built-in trade logic (dynamic TP structure)
TP1 → scale out 50% of the position at a fixed percentage (auto-scaled per timeframe)
Stop moved to Break-Even after TP1
Final exit on either:
• a meaningful opposite candle (≥ X% correction of prior body), or
• a timeout (max bars in trade)
Technical characteristics
Designed for 1m / 3m / 5m / 7m / 10m
No repainting (bar-close confirmed logic)
Works for both LONG & SHORT
Built-in alert events:
ENTRY_LONG / ENTRY_SHORT / TP1 / EXIT_STOP / EXIT_INVERSE / EXIT_TIMEOUT
Suitable for manual execution, semi-automation (alerts) or full bot integration (webhook JSON)
Purpose
Provide a repeatable, rule-based, non-subjective framework to harvest micro-moves with controlled risk, without relying on lagging indicators or long-term prediction.
(A Strategy / backtesting version is planned as a next iteration.)
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy
Summary
Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts.
Scope and intent
• Markets: large cap equities and ETFs, index futures, major FX, liquid crypto
• Timeframes: one minute to daily
• Default demo: BTC on 60 minute
• Purpose: faster yet calmer PSAR that resists chop and improves short discipline
• Limits: this is a strategy that places simulated orders on standard candles
Originality and usefulness
• Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias
• Addresses false flips in low volatility and weak downtrends
• All controls are exposed in Inputs for testability
• Yardstick: ATR normalizes drift so settings port across symbols
• Open source. No links. No solicitation
Method overview
Components
• Adaptive AF: base step plus boost factor times logistic strength
• Trail inertia: one sided blend that keeps the SAR monotone
• Flip hysteresis: price must clear SAR by a buffer times ATR
• Volatility gate: ATR over its mean must exceed a ratio
• Bear bias for shorts: price below EMA of length 91 with negative slope window 54
• Cooldown bars optional after any entry
• Visual SAR smoothing is cosmetic and does not drive orders
Fusion rule
Entry requires the internal flip plus all enabled gates. No weighted scores.
Signal rule
• Long when trend flips up and close is above SAR plus buffer times ATR and gates pass
• Short when trend flips down and close is below SAR minus buffer times ATR and gates pass
• Exit uses SAR as stop and optional ATR take profit per side
Inputs with guidance
Reactor Engine
• Start AF 0.02. Lower slows new trends. Higher reacts quicker
• Max AF 1. Typical 0.2 to 1. Caps acceleration
• Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends
• Strength window 18. Typical 10 to 40. Drift estimation window
• ATR length 16. Typical 10 to 30. Volatility unit
• Strength gain 4.5. Typical 2 to 6. Steepness of logistic
• Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic
• Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises
• AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth
• Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail
• Allow Long, Allow Short toggles
Trade Filters
• Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips
• Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars
• Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes
• Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness
Risk
• TP long ATR 1.0. Set to zero to disable
• TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts
Usage recipes
Intraday trend focus
Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime.
Intraday mean reversion focus
Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated.
Swing continuation
Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts.
Properties visible in this publication
Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles.
Honest limitations and failure modes
High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips.
Open source reuse and credits
Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors.
Strategy notice
Orders are simulated on standard candles. No lookahead.
Entries and exits
Long: flip up plus ATR buffer and all gates true
Short: flip down plus ATR buffer and gates true with bear bias when enabled
Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry
Tie handling: stop first if both stop and target could fill in one bar
NY Session Divisions⭐NY Session Divisions - Professional Trading Session Manager
NY Session Divisions is an advanced trading indicator that professionally segments the New York trading day into precise sessions, providing institutional-grade market structure analysis with smart breakout detection and comprehensive filtering systems.
✨ KEY FEATURES
🕒 8 Professional Trading Sessions
- US Overnight Range (03:30-11:50)
- NY Pre-Open (16:45-17:00)
- NY First Session ORB (17:00-17:15)
- Premarket Range - Recommended by Mahdi Salari*
- NY Midday Range
- NY 2nd Pre-Open
- 2nd Session ORB
- US After Hours ORB
🎯 Advanced Trading Strategies
- School Run Strategy (SRS) by Tom Hougaard - Breakout-focused approach
- Anti-SRS Strategy - Range-trading methodology
- Dual Strategy System - Combine breakout and range trading for maximum flexibility
🔔 Smart Alert System
- Multi-timeframe confirmation
- Heiken Ashi candle validation
- Customizable alert conditions
- Sound notifications with detailed messages
- Post-close confirmation to avoid false signals
🛡️ Professional Filter Stack
- Ichimoku Baseline
- Divergence Detection - Advanced market analysis
- EMA 200 Filter - Trend alignment
- Ichimoku Baseline - Market structure
- ATR Filter - Volatility validation
- RSI Filter - Momentum confirmation
🎨 Advanced Visualization
- Clean session range displays
- Professional Heiken Ashi candles
- Smart breakout markers (Small/Tiny for signal strength)
- Take Profit lines with ATR-based calculations
- Customizable colors and opacity
🏆 WHY TRADERS LOVE THIS INDICATOR
✅ For Breakout Traders
- Precise session boundary detection
- Clean breakout signals with confirmation
- Multiple filter validation
✅ For Range Traders
- Clear session range identification
- Anti-SRS strategy for range-bound markets
- Support/Resistance level tracking
✅ For Professional Traders
- Institutional-grade session management
- Comprehensive filtering system
- Multi-timeframe analysis
- Customizable risk management
⚡ QUICK START GUIDE
Basic Setup (2 Minutes)
1. Enable Sessions** - Choose 1-2 sessions to start
2. Set Alerts - Configure your preferred notification method
3. Apply Filters - Enable EMA 200 and Ichimoku for starters
Advanced Configuration
- Combine SRS + Anti-SRS for comprehensive strategy
- Use multiple divergence filters for confirmation
- Customize TP lines based on your risk profile
- Drawing 1st and 2nd Session Close lines
PROFESSIONAL TIPS
Session Selection Strategy
- Start with Session 1 (US Overnight) for overall market trend identification
- Add Session 3 (NY First ORB) for opening momentum
- Use Session 4 (Premarket) for the best perfomance of the breakout strategy
Filter Optimization
- Conservative : EMA 200 + Ichimoku Baseline
- Balanced : Add ATR filter for volatility check 0.8 is enough
- Aggressive : Enable all filters for maximum confirmation but the number of signal and performance will decrease
Risk Management
- Use TP lines for automatic profit targets
- Combine with proper position sizing
- Always use stop losses
🔧 TECHNICAL SPECIFICATIONS
- Platform : TradingView Pine Script v6
- Markets : All US trading instruments (ES, NQ, YM, CL, etc.)
- Timeframes : 1min to Daily
- Auto DST Handling : Yes
- Real-time Processing : Yes
📊 PERFORMANCE FEATURES
- Zero Repaint - All signals confirmed after candle close
- Multi-Timeframe - Works across all chart timeframes
- Resource Optimized - Efficient calculation methods
- User Customizable - Complete control over all parameters
- Consistent Performance - Reliable session-based signals
- Professional Grade - Institutional-level analysis tools
- Continuous Updates - Regular improvements and enhancements
- Community Supported - Active user community and support
🔄 KEEP UPDATED
Click the Favorite Star ⭐ to receive update notifications and stay current with new features and improvements!
Professional traders don't guess - they analyze. NY Session Divisions gives you the analytical edge.
Happy Trading! 📈
Created with precision for serious traders
DISCLAIMER
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always practice proper risk management and test strategies in demo accounts before live trading. Past performance does not guarantee future results.
Smart Money Concepts Pro – OB, FVG, Liquidity + Trade SetupsThis script is a complete Smart Money Concepts (SMC) toolkit designed for traders who want clean and actionable charts without clutter.
It combines the most important institutional concepts into one indicator:
Order Blocks (OB): auto-detection of bullish and bearish order blocks with mitigation tracking, merging and TTL (time-to-live).
Fair Value Gaps (FVG): automatic gap recognition with size filters, mitigation tracking and lifetime control.
Liquidity Pools (EQH/EQL): equal highs and equal lows marked with tolerance (ATR-based or fixed).
Break of Structure (BOS): up/down structure shifts plotted directly on the chart.
Multi-Timeframe (HTF): option to use higher timeframe data (e.g. H4, Daily) for stronger zones.
Trend Filter: show zones only in the direction of market structure.
Trade Setups: automatic signals for OB Retest + Trend setups, with entry, stop-loss and take-profit levels (custom R-R).
Flexible Zone Extension: choose between extending zones to the live bar or fixed box width for a cleaner look when scrolling.
Features
Fully customizable (pivot length, ATR filters, box width, TTL, zone colors)
Separate presets for Scalping, Intraday, Swing trading styles
Visual trade planning with entry/SL/TP lines and optional labels
Works across all markets (crypto, forex, indices, stocks)
How to use
Bias: identify overall direction (BOS + HTF zones).
Wait: for price to return to an unmitigated OB or FVG.
Entry: take the setup signal (OB retest + trend filter).
Risk: stop-loss at opposite OB boundary.
Target: TP based on chosen R-R multiple (default 2R).
⚡ Whether you scalp short-term moves or swing trade HTF zones, this indicator gives you a clear institutional edge in spotting supply/demand imbalances and high-probability setups.
Scalper Pro Pattern Recognition & Price ActionOVERVIEW
Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies.
ORIGINALITY & PURPOSE
What Makes This Script Original
This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets.
The unique value proposition:
Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system
Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view
Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing
ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation
Why Combine These Specific Components
Each component addresses a specific weakness in scalping:
SuperTrend provides the primary directional bias but can generate false signals in ranging markets
Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives
ADX Analysis prevents trading during low-volatility consolidation when most indicators fail
SMC Elements identify institutional activity zones where price is likely to react strongly
ATR-Based Risk Management adapts position sizing to current volatility conditions
The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches.
HOW IT WORKS
Core Calculation Methodology
1. SuperTrend Signal Generation
The script uses a modified SuperTrend algorithm with the following calculation:
ATR = Average True Range (default: 10 periods)
Factor = 7 (default sensitivity multiplier)
Upper Band = Source + (Factor × ATR)
Lower Band = Source - (Factor × ATR)
Directional Logic:
When price crosses above SuperTrend → Bullish signal
When price crosses below SuperTrend → Bearish signal
SuperTrend value is plotted as dynamic support/resistance
Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation.
2. Range Filter System (Cirrus Cloud)
The Range Filter uses a smoothed range calculation to filter out market noise:
Smooth Range Calculation:
WPER = (Period × 2) - 1
AVRNG = EMA(|Price - Price |, Period)
Smooth Range = EMA(AVRNG, WPER) × Multiplier
Two-Layer System:
Layer 1: 22-period with 6x multiplier (broader trend)
Layer 2: 15-period with 5x multiplier (tighter price action)
Visual Output: The space between these two filters is colored:
Green fill = Bullish trend (Layer 1 > Layer 2)
Red fill = Bearish trend (Layer 1 < Layer 2)
This creates a "cloud" that expands during strong trends and contracts during consolidation.
3. ADX Market Regime Detection
Calculation:
+DM = Positive Directional Movement
-DM = Negative Directional Movement
True Range = RMA of True Range (15 periods)
+DI = 100 × RMA(+DM, 15) / True Range
-DI = 100 × RMA(-DM, 15) / True Range
ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15)
Threshold System:
ADX < Threshold (default 15) = Ranging market → Bar color changes to purple
ADX > Threshold = Trending market → Normal bar coloring applies
Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws.
4. Smart Money Concepts (SMC) Integration
Order Blocks (OB):
Identified using swing high/low detection with customizable pivot length
Bullish OB: Last down-close candle before bullish Break of Structure (BOS)
Bearish OB: Last up-close candle before bearish BOS
Extended forward until price breaks through them
Fair Value Gaps (FVG):
Detected when a three-candle gap exists:
Bullish FVG: Low > High
Bearish FVG: High < Low
Filtered by price delta percentage to ensure significant gaps
Displayed as boxes that delete when price fills the gap
Break of Structure (BOS) vs. Change of Character (CHoCH):
BOS = Price breaks the previous structural high/low in the current trend direction
CHoCH = Price breaks structure in the opposite direction (potential trend reversal)
Both internal (minor) and swing (major) structures are tracked
Equal Highs/Lows (EQH/EQL):
Detected when consecutive swing highs/lows are within ATR threshold
Often indicates liquidity pools that price may sweep before reversing
5. ATR-Based Risk Management
Calculation:
ATR Band = ATR(14) × Risk Multiplier (default 3%)
Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts)
Take Profit Levels:
TP1 = Entry + (Entry - Stop Loss) × 1
TP2 = Entry + (Entry - Stop Loss) × 2
TP3 = Entry + (Entry - Stop Loss) × 3
Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger.
6. Hull Moving Average Trend Cloud
HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period))
Period = 600 bars (long-term trend)
The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise.
HOW TO USE THE INDICATOR
Entry Signals
Primary Buy Signal:
SuperTrend changes to green (price crosses above)
ADX shows market is NOT ranging (bars are NOT purple)
Price is within or near a bullish Order Block OR bullish FVG
Cirrus Cloud shows green fill (Layer 1 > Layer 2)
Primary Sell Signal:
SuperTrend changes to red (price crosses below)
ADX shows market is NOT ranging
Price is within or near a bearish Order Block OR bearish FVG
Cirrus Cloud shows red fill (Layer 1 < Layer 2)
Confirmation Layers
Higher Probability Trades Include:
Bullish/Bearish BOS in the same direction as signal
Equal highs/lows being swept before entry
Price respecting premium/discount zones (above/below equilibrium)
Multiple timeframe alignment (use MTF settings)
Exit Strategy
The indicator provides three take-profit levels:
TP1: Conservative target (1:1 risk-reward)
TP2: Moderate target (2:1 risk-reward)
TP3: Aggressive target (3:1 risk-reward)
Suggested Exit Approach:
Close 1/3 position at TP1
Move stop to breakeven
Close 1/3 position at TP2
Trail remaining position or exit at TP3
Risk Management
Stop Loss:
Use the ATR-based stop loss level displayed on chart
Alternatively, use percentage-based stop (adjustable in settings)
Never risk more than 1-2% of account per trade
Position Sizing:
Position Size = (Account Risk $) / (Entry Price - Stop Loss Price)
CUSTOMIZABLE SETTINGS
Core Parameters
Buy/Sell Signals:
Toggle signals on/off
Adjust SuperTrend sensitivity (0.5 - 2.0)
Risk Management:
Show/hide TP/SL levels
ATR period (default: 14)
Risk percentage (default: 3%)
Number of decimal places for price labels
Trend Features:
Cirrus Cloud display toggle
Range filter periods (x1, x2, x3, x4)
Hull MA length for trend cloud
Smart Money Concepts:
Order Block settings (swing length, display count)
Fair Value Gap parameters (auto-threshold, extend length)
Structure detection (internal vs swing)
EQH/EQL threshold
ADX Settings:
ADX length (default: 15)
Sideways threshold (10-30, default: 15)
Bar color toggle
Display Options:
Previous day/week/month high/low levels
Premium/Discount/Equilibrium zones
Trend candle coloring (colored or monochrome)
BEST PRACTICES & TRADING TIPS
Optimal Use Cases
Scalping on lower timeframes (1m, 5m, 15m)
Rapid entry/exit with clear TP levels
ADX filter prevents choppy market entries
Day trading on medium timeframes (30m, 1H)
Stronger trend confirmation
Better risk-reward ratios
Swing trading entries on higher timeframes (4H, Daily)
Higher-probability structural setups
Larger ATR-based stops accommodate volatility
Market Conditions
Best Performance:
Trending markets with clear directional bias
Post-news volatility with defined structure
Markets respecting support/resistance levels
Avoid Trading When:
ADX indicator shows purple bars (ranging market)
Multiple conflicting signals across timeframes
Major news events without clear price structure
Low volume periods (market open/close)
Common Mistakes to Avoid
Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws
Not waiting for confirmation - Enter only when multiple layers align
Overtrading - Fewer high-quality setups outperform many mediocre ones
Ignoring risk management - Always use the calculated stop losses
Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction
TECHNICAL SPECIFICATIONS
Indicator Type: Overlay (plots on price chart)
Calculation Resources:
Max labels: 500
Max lines: 500
Max boxes: 500
Max bars back: 500
Pine Script Version: 5
Compatible Timeframes: All timeframes (optimized for 1m to 1D)
Compatible Instruments:
Forex pairs
Crypto assets
Stock indices
Individual stocks
Commodities
THEORETICAL FOUNDATION
Trend-Following Concepts
This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks.
Smart Money Theory
The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of:
Order Blocks: Areas where large orders were placed
Fair Value Gaps: Inefficient price movements that may be revisited
Liquidity Sweeps: Stop hunts before continuation (EQH/EQL)
Volatility-Based Position Sizing
Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions:
Tight stops in low volatility (avoids excessive risk)
Wider stops in high volatility (avoids premature stop-outs)
PERFORMANCE EXPECTATIONS
Realistic Expectations
Win Rate:
Expected: 45-55% (trend-following systems rarely exceed 60%)
Higher win rates on trending days
Lower win rates during consolidation (even with ADX filter)
Risk-Reward Ratio:
Target: 1.5:1 minimum (TP2)
Achievable: 2:1 to 3:1 on strong trends
Drawdowns:
Normal: 10-15% of account during choppy periods
Maximum: Should not exceed 20% with proper risk management
Optimization Tips
Backtesting Recommendations:
Test on at least 1 year of historical data
Include different market conditions (trending, ranging, volatile)
Adjust SuperTrend sensitivity per instrument
Optimize ADX threshold for your specific market
Record trades to identify personal execution errors
FREQUENTLY ASKED QUESTIONS
Q: Can I use this for automated trading?
A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots.
Q: Why do I see conflicting signals?
A: This is normal during transition periods. Wait for all confirmation layers to align before entering.
Q: How often should I expect signals?
A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session.
Q: Can I use only some features?
A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active.
Q: What's the difference between internal and swing structures?
A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation.
DISCLAIMER
This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always:
Use proper risk management
Test on demo accounts first
Never risk more than you can afford to lose
Combine with fundamental analysis when applicable
Understand that no indicator is 100% accurate
License: Mozilla Public License 2.0
Author: DrFXGOD
VERSION HISTORY & UPDATES
Initial Release - Version 1.0
Integrated SuperTrend, Range Filters, ADX, SMC concepts
ATR-based risk management
Multi-timeframe support
Customizable visual elements
SUPPORT & DOCUMENTATION
For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView.
Additional Resources:
Smart Money Concepts: Research ICT (Inner Circle Trader) materials
ATR and Volatility: Refer to Wilder's original ATR documentation
SuperTrend Indicator: Study original SuperTrend strategy papers
G Position Size Calculator (Crypto)G Position Size Calculator (Crypto)
This tool helps traders quickly visualize and calculate risk, position size, leverage, and R:R ratio directly on the chart for crypto trading.
It works similarly to TradingView’s Long/Short Position tool but automatically computes all metrics based on your clicks.
⚙️ How to Use
Add to Chart
Click Indicators → My Scripts → G Position Size Calculator (Crypto)
Set Entry, Stop-Loss, and Take-Profit
Open the script’s ⚙️ Settings.
Click the crosshair icon next to Entry, then click on the chart.
Do the same for Stop-Loss and Take-Profit.
Adjust Account & Risk Settings
Enter your Account Size (USD).
Set your Risk % per trade (default: 1%).
Visual Feedback
A green box shows your profit zone (Entry → TP).
A red box shows your loss zone (Entry → SL).
The label on the right displays:
Risk (% and $)
R:R ratio
Position size (units)
Leverage required
Fine-Tune Without Re-clicking
Use the nudge inputs (Entry, Stop, TP) to move levels up/down by 1 tick at a time.
Positive = up, negative = down.
Re-pick Levels Anytime
Re-open settings and click the crosshair again to redefine a level.
📈 Features
Automatic calculation of risk, position size, leverage, and R:R ratio.
Visual green/red box representing profit and loss areas.
Adjustable risk %, account balance, and label offset.
“Nudge” controls to emulate quick drag adjustments.
Clean layout designed for crypto price charts (works on any symbol).
Scalper Pro Pattern Recognition & Price ActionOVERVIEW
Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies.
ORIGINALITY & PURPOSE
What Makes This Script Original
This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets.
The unique value proposition:
Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system
Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view
Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing
ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation
Why Combine These Specific Components
Each component addresses a specific weakness in scalping:
SuperTrend provides the primary directional bias but can generate false signals in ranging markets
Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives
ADX Analysis prevents trading during low-volatility consolidation when most indicators fail
SMC Elements identify institutional activity zones where price is likely to react strongly
ATR-Based Risk Management adapts position sizing to current volatility conditions
The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches.
HOW IT WORKS
Core Calculation Methodology
1. SuperTrend Signal Generation
The script uses a modified SuperTrend algorithm with the following calculation:
ATR = Average True Range (default: 10 periods)
Factor = 7 (default sensitivity multiplier)
Upper Band = Source + (Factor × ATR)
Lower Band = Source - (Factor × ATR)
Directional Logic:
When price crosses above SuperTrend → Bullish signal
When price crosses below SuperTrend → Bearish signal
SuperTrend value is plotted as dynamic support/resistance
Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation.
2. Range Filter System (Cirrus Cloud)
The Range Filter uses a smoothed range calculation to filter out market noise:
Smooth Range Calculation:
WPER = (Period × 2) - 1
AVRNG = EMA(|Price - Price |, Period)
Smooth Range = EMA(AVRNG, WPER) × Multiplier
Two-Layer System:
Layer 1: 22-period with 6x multiplier (broader trend)
Layer 2: 15-period with 5x multiplier (tighter price action)
Visual Output: The space between these two filters is colored:
Green fill = Bullish trend (Layer 1 > Layer 2)
Red fill = Bearish trend (Layer 1 < Layer 2)
This creates a "cloud" that expands during strong trends and contracts during consolidation.
3. ADX Market Regime Detection
Calculation:
+DM = Positive Directional Movement
-DM = Negative Directional Movement
True Range = RMA of True Range (15 periods)
+DI = 100 × RMA(+DM, 15) / True Range
-DI = 100 × RMA(-DM, 15) / True Range
ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15)
Threshold System:
ADX < Threshold (default 15) = Ranging market → Bar color changes to purple
ADX > Threshold = Trending market → Normal bar coloring applies
Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws.
4. Smart Money Concepts (SMC) Integration
Order Blocks (OB):
Identified using swing high/low detection with customizable pivot length
Bullish OB: Last down-close candle before bullish Break of Structure (BOS)
Bearish OB: Last up-close candle before bearish BOS
Extended forward until price breaks through them
Fair Value Gaps (FVG):
Detected when a three-candle gap exists:
Bullish FVG: Low > High
Bearish FVG: High < Low
Filtered by price delta percentage to ensure significant gaps
Displayed as boxes that delete when price fills the gap
Break of Structure (BOS) vs. Change of Character (CHoCH):
BOS = Price breaks the previous structural high/low in the current trend direction
CHoCH = Price breaks structure in the opposite direction (potential trend reversal)
Both internal (minor) and swing (major) structures are tracked
Equal Highs/Lows (EQH/EQL):
Detected when consecutive swing highs/lows are within ATR threshold
Often indicates liquidity pools that price may sweep before reversing
5. ATR-Based Risk Management
Calculation:
ATR Band = ATR(14) × Risk Multiplier (default 3%)
Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts)
Take Profit Levels:
TP1 = Entry + (Entry - Stop Loss) × 1
TP2 = Entry + (Entry - Stop Loss) × 2
TP3 = Entry + (Entry - Stop Loss) × 3
Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger.
6. Hull Moving Average Trend Cloud
HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period))
Period = 600 bars (long-term trend)
The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise.
HOW TO USE THE INDICATOR
Entry Signals
Primary Buy Signal:
SuperTrend changes to green (price crosses above)
ADX shows market is NOT ranging (bars are NOT purple)
Price is within or near a bullish Order Block OR bullish FVG
Cirrus Cloud shows green fill (Layer 1 > Layer 2)
Primary Sell Signal:
SuperTrend changes to red (price crosses below)
ADX shows market is NOT ranging
Price is within or near a bearish Order Block OR bearish FVG
Cirrus Cloud shows red fill (Layer 1 < Layer 2)
Confirmation Layers
Higher Probability Trades Include:
Bullish/Bearish BOS in the same direction as signal
Equal highs/lows being swept before entry
Price respecting premium/discount zones (above/below equilibrium)
Multiple timeframe alignment (use MTF settings)
Exit Strategy
The indicator provides three take-profit levels:
TP1: Conservative target (1:1 risk-reward)
TP2: Moderate target (2:1 risk-reward)
TP3: Aggressive target (3:1 risk-reward)
Suggested Exit Approach:
Close 1/3 position at TP1
Move stop to breakeven
Close 1/3 position at TP2
Trail remaining position or exit at TP3
Risk Management
Stop Loss:
Use the ATR-based stop loss level displayed on chart
Alternatively, use percentage-based stop (adjustable in settings)
Never risk more than 1-2% of account per trade
Position Sizing:
Position Size = (Account Risk $) / (Entry Price - Stop Loss Price)
CUSTOMIZABLE SETTINGS
Core Parameters
Buy/Sell Signals:
Toggle signals on/off
Adjust SuperTrend sensitivity (0.5 - 2.0)
Risk Management:
Show/hide TP/SL levels
ATR period (default: 14)
Risk percentage (default: 3%)
Number of decimal places for price labels
Trend Features:
Cirrus Cloud display toggle
Range filter periods (x1, x2, x3, x4)
Hull MA length for trend cloud
Smart Money Concepts:
Order Block settings (swing length, display count)
Fair Value Gap parameters (auto-threshold, extend length)
Structure detection (internal vs swing)
EQH/EQL threshold
ADX Settings:
ADX length (default: 15)
Sideways threshold (10-30, default: 15)
Bar color toggle
Display Options:
Previous day/week/month high/low levels
Premium/Discount/Equilibrium zones
Trend candle coloring (colored or monochrome)
BEST PRACTICES & TRADING TIPS
Optimal Use Cases
Scalping on lower timeframes (1m, 5m, 15m)
Rapid entry/exit with clear TP levels
ADX filter prevents choppy market entries
Day trading on medium timeframes (30m, 1H)
Stronger trend confirmation
Better risk-reward ratios
Swing trading entries on higher timeframes (4H, Daily)
Higher-probability structural setups
Larger ATR-based stops accommodate volatility
Market Conditions
Best Performance:
Trending markets with clear directional bias
Post-news volatility with defined structure
Markets respecting support/resistance levels
Avoid Trading When:
ADX indicator shows purple bars (ranging market)
Multiple conflicting signals across timeframes
Major news events without clear price structure
Low volume periods (market open/close)
Common Mistakes to Avoid
Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws
Not waiting for confirmation - Enter only when multiple layers align
Overtrading - Fewer high-quality setups outperform many mediocre ones
Ignoring risk management - Always use the calculated stop losses
Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction
TECHNICAL SPECIFICATIONS
Indicator Type: Overlay (plots on price chart)
Calculation Resources:
Max labels: 500
Max lines: 500
Max boxes: 500
Max bars back: 500
Pine Script Version: 5
Compatible Timeframes: All timeframes (optimized for 1m to 1D)
Compatible Instruments:
Forex pairs
Crypto assets
Stock indices
Individual stocks
Commodities
THEORETICAL FOUNDATION
Trend-Following Concepts
This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks.
Smart Money Theory
The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of:
Order Blocks: Areas where large orders were placed
Fair Value Gaps: Inefficient price movements that may be revisited
Liquidity Sweeps: Stop hunts before continuation (EQH/EQL)
Volatility-Based Position Sizing
Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions:
Tight stops in low volatility (avoids excessive risk)
Wider stops in high volatility (avoids premature stop-outs)
PERFORMANCE EXPECTATIONS
Realistic Expectations
Win Rate:
Expected: 45-55% (trend-following systems rarely exceed 60%)
Higher win rates on trending days
Lower win rates during consolidation (even with ADX filter)
Risk-Reward Ratio:
Target: 1.5:1 minimum (TP2)
Achievable: 2:1 to 3:1 on strong trends
Drawdowns:
Normal: 10-15% of account during choppy periods
Maximum: Should not exceed 20% with proper risk management
Optimization Tips
Backtesting Recommendations:
Test on at least 1 year of historical data
Include different market conditions (trending, ranging, volatile)
Adjust SuperTrend sensitivity per instrument
Optimize ADX threshold for your specific market
Record trades to identify personal execution errors
FREQUENTLY ASKED QUESTIONS
Q: Can I use this for automated trading?
A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots.
Q: Why do I see conflicting signals?
A: This is normal during transition periods. Wait for all confirmation layers to align before entering.
Q: How often should I expect signals?
A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session.
Q: Can I use only some features?
A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active.
Q: What's the difference between internal and swing structures?
A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation.
DISCLAIMER
This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always:
Use proper risk management
Test on demo accounts first
Never risk more than you can afford to lose
Combine with fundamental analysis when applicable
Understand that no indicator is 100% accurate
License: Mozilla Public License 2.0
Author: DrFXGOD
VERSION HISTORY & UPDATES
Initial Release - Version 1.0
Integrated SuperTrend, Range Filters, ADX, SMC concepts
ATR-based risk management
Multi-timeframe support
Customizable visual elements
SUPPORT & DOCUMENTATION
For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView.
Additional Resources:
Smart Money Concepts: Research ICT (Inner Circle Trader) materials
ATR and Volatility: Refer to Wilder's original ATR documentation
SuperTrend Indicator: Study original SuperTrend strategy papers
