Heiken-Ashi CandlesSimple script to view Heiken-Ashi candles below a normal candles chart.
Could also be useful for using HA calcs in strategy scripts on normal candles chart for proper backtesting.
I adapted this to v4 from original v2 script by @samtsui. If you like please remember to give him a Thumbs Up for his original version! ->
Cari dalam skrip untuk "backtesting"
Visual RSI [LucF]Visual RSI offers a different way of looking at RSI by providing a composite representation of 9 different RSI-generated components. Instead of focusing on one line only, this approach blends multiple sources to provide the viewer with a larger context RSI-based picture.
For those who don’t want to read
• Green in bullish (>50) zone is the most bullish.
• Red in bullish zone doesn’t necessarily mean bearish—it just means bullish strength is weakening. It may be just a pause before a reprise or exhaustion signalling a reversal—impossible to tell.
• The same in inverse applies to the bearish zone (<50).
For those who want to understand
The nine components making up Visual RSI are:
• a current timeframe RSI
• a higher timeframe RSI
• the delta between these two RSI lines
• for each of these three basic components, two independent Bollinger band: one calculated for the bullish section of the scale (>50) and a separate one calculated for the lower bearish region.
Dual BBs
In my view, RSI’s position with regards to the centerline is much more important than its position in extreme areas. Why? Because the building block of RSI is the ratio of the averages of up/down moves during the RSI period. When the average of ups is greater, RSI is > 50. So while a rising signal starting from 20 let’s say, indicates that the rate of change is increasing, only when it crosses 50 can we say that sentiment balance has truly become bullish, and this information is more reliable than the signal being at a level corresponding to whatever estimate we make of what constitutes an extreme value. In my landscape, the general balance of a ratio provides more valuable information than the ratio’s exact value.
The idea behind the dual BBs is to provide independent tracking information for both halves of the indicator’s space, which I find more useful than the normal method of simply adding a multiple of the standard deviation on both sides of the mean. With dual BBs, the upper BB will never go lower than the indicator’s centerline, and the lower BB will never go higher. The upper BB focuses on upper-bound volatility when the signal is bearish, and the lower BB focuses on downside volatility when the signal is bearish.
The functions used to calculate the independent BBs are reusable on other signals if a centerline can be defined for them. A clamping percentage is implemented, so that when a BB line is hugging the centerline it clamps to it. This helps in providing earlier signals when they use the BB line states.
Providing context to RSI
What RSI measures indirectly is the balance in the rate of change—or the speed of price movement, but not its instant value, otherwise RSI would be even noisier. More precisely, RSI represents the relative strength of the up/down movement in the last n bars of RSI’s length, with 14 often used because that’s what Wilder proposed (Visual RSI’s defaults are 20 for the current timeframe and 40 for the higher timeframe). At every bar, a new value is added to the equation and an old value carrying equal weight is dropped, so a large dropped off value will have more impact on RSI’s value if the new bar’s move is small. This accounts for some of RSI’s speed in identifying exhaustion after important moves, but almost for some of its noise.
Visual RSI is the result of trying to drown RSI’s noise in the context of other informational streams, while simultaneously providing even faster information than RSI alone, by giving more visual weight to the delta between the current and higher timeframe RSI’s.
How to read Visual RSI
The default settings show all 9 basic components as green/red areas of intensities varying with their importance. The most intense colors are reserved for the delta RSI and the BBs have the lightest intensities. The individual lines of components are intentionally difficult to distinguish so that focus is first on the general picture, including the all-important six-state background, and then on the delta RSI.
One entry setup could be reversals in a larger trend context, so low pivots of the delta in a fully bullish context (a green background in the upper section of the indicator), and inversely, high pivots in a fully bearish context (a red background in the lower section of the indicator).
Please resist the common misconception, when interpreting RSI, that a reversal in the signal will necessarily lead to a reversal in price. Each trend has its rhythm. Only machine-generated price action can progress regularly. It’s normal for trends to take a breather for some time before they continue or reverse, as traders driving the trend experience emotional fatigue and gradual fear. RSI reversals merely signify that such a breather has occurred—nothing more. Only the larger context can provide information that can situate that pause and put more meaningful odds on it having more probability of continuing in one direction or the other. This is the reasoning behind the setup just described.
Features
• All components can be hidden, displayed as a simple line, a uniformly colored fill, or a green/red fill (the default).
• The background can be colored using 9 different methods, including 3 six-state methods using the rising/falling BB lines of the 3 basic components. These six states allow for bullish/bearish/neutral sentiment in both the upper and lower regions of the indicator. A bearish (dark red) background in the bullish (>50) section of the indicator represents decreasing bullishness. A bearish (slightly brighter red) in the bearish (<50) section of the indicator means incresingly bearish sentiment. The six-state backgrounds allow for neutral (no color) sentiment when no compelling signs can be found to conclude anything with meaningful odds. The default background uses the six-state method on the higher timeframe RSI’s BBs because I find it the most useful, as it represents the largest—and slowest—context sentiment among all the indicator’s components.
• A thin status bar in the top part of the indicator also allows selection of the same 9 methods to color it. The default is a triple-state system using the rising/falling characteristics of the current timeframe RSI’s BBs to provide a short-term counterbalance to the long-term background.
• Three different markers can be configured using approximately 70 permutations each, each filtered by 20 different filter permutations. When modification of the relevant parameters in the script’s Settings/Settings/Parameters section is added, possibilities are almost endless. If the generated signals are then fed into the PineCoders Engine and combined with the Engine’s own options, the permutations go up another order of magnitude, and changes to any setting can be instantly evaluated using the Engine’s backtesting results.
• Five simple filters can be combined. They are additive. They include volume-related conditions and a chandelier, which I find useful because both volume and volatility (the chandelier using highs/lows and ATR) are sensible complementary sources to RSI’s momentum information. The filter’s state can be shown as a thin line at the bottom of the indicator.
• Alerts can be configured using any of the marker/filter combinations mentioned. As usual, once your markers/filters are set up the way you want, create your alert from the chart/timeframe you want the alert to run on and be sure to use the “Once Per Bar Close” triggering condition. Use an alert message that will remind you of which combination of markers were used when creating the alert.
• A plot providing entry signals for the PineCoders Backtesting & Trading Engine is supplied. It will use whichever marker/filter configuration is active to generate signals.
• All higher timeframe information is non-repainting. Higher timeframe lines can be smoothed (the default). The selection of the higher timeframe can be made using 3 different methods:
1. By steps (if current timeframe <= 1 minute: 60 min, <= 60 min: 1D, <= 6H: 3D, <= 1D: 1W, <=1W: 1M, >1W: 12M)
2. By a user-defined multiple of the current timeframe
3. Using a fixed timeframe
Thanks to:
• Alex Orekhov aka @everget for the chandelier code.
• @RicardoSantos who through a small remark early on, unknowingly put me on the track of eliminating noise through visual crowding.
• The brilliant guys in the PineCoders Pro room for your knowledge, limitless creativity and constant companionship.
Golden Cross by -Westy-Quick Guide
- Yellow cross and green MA on top = Potential uptrend
- Yellow cross and red MA on top = Potential downtrend
A simple golden cross indicator of the green 50 and red 200 SMA with a yellow cross for ease of visibility and backtesting.
Generally, longer time frames more powerful signals but are less frequent. I typically use it on the 4 hour, daily and weekly.
WOW no repainting and no security() call! 100% real results!If you couldn't tell by the title, this is a joke lmao.
TV has an awful backtesting engine and I just wanted to prove this with a super simple script.
We buy when close > open
and sell when close < open.
That's it.
There is also some risk management and trade closing when we reach a certain drawdown, but wait!
TradingView doesn't know what equity drawdown is because they don't use tick data or any lower timeframe data! Wowow!
Ps - all tickdata for Forex & CFD historical data is free from Dukascopy if you want to perform your own backtesting ;)
Dukascopy Data
Enjoy
-DasanC
Complete turtles strategy based on the donchian channelsDear Traders and investor,
I want to demonstrate scrypt of the iconic "trend following strategy" coded by my
The main idea was borrowed from the book "Way of the Turtle: The Secret Methods that Turned Ordinary People into Legendary". The strategy is based on the donchian channels and is one of the oldest and easiest strategy in the using. Also strategy include risk managment and trends filter which prevent false entries and high drawndowns. The results are based on the period from 2006 to present, but you can also change timeframe and period of backtesting.
Best regards,
Vlad
Multiple Moving Averages Alerts ScriptAlerts script that has triggers on multiple moving average crossovers so that profit is maximised, it also has an optional control moving average, enabled by default, that when active will stop trading when the price (first ma) is below the control moving average.
Source code is open so that others can use and modify
Click Below for Backtesting version:
Disclaimers, not an expert, not intended to be financial advise.
Biffy
SimpleCrossOver_BotThis is a simple example of how you can compile your own strategy
This script contains the code for alerts and for backtesting.
In order to use the backtester, comment out the sections to be used for signals, and comment in the sections to be used on the back tester, and visa versa for using the script for alerts in order to automate your own bot.
Awesome Oscillator.MMouse_Lager_BCEAwesome Oscillator with added options for turning short trades on and off, as well as a start date for backtesting.
Two Bar Break Line Alerts R1.0 by JustUncleLThis indicator with default settings is designed for BINARY OPTIONS trading. The indicator can also be used for Forex trading with some setting changes. The script shows Two Bar Pullback Break lines and alerts when those Break lines are Touched (broken) creating a short term momentum entry condition.
For a Bullish Break (Green Up Arrow) to occur: first must have two (or three) consecutive bear (red) candles which is followed by a bull (green) candle creating a pivot point. The breakout occurs then the High of the current Bull (green) exceeds the highest point of the previous two (or three) pivotal bear candles. The green channel Line shows where the current Bullish BreakOut occurs.
For a Bearish Break (Red Down Arrow) to occur: first must have two (or three) consecutive bull (green) candles which is followed by a bear (red) candle creating a pivot point. The breakout occurs when the Low of the current Bear (red) drops below the lowest point of the previous two (or three) pivotal Bull candles. The red channel Line shows where the current Bearish BreakOut occurs.
The break Line Arrows can optionally be filtered by the Coloured MA (enabled by default), a longer term directional MA (disabled by default) and/or a MACD condition (enabled by default) as a momentum filter.
You can optionally select three Bar break lines instead of two. The three bar break lines are actually equivalent to Guppy's Three Bar Count Back Line method for trade entries (see Guppy's video reference below).
Included in this indicator is an ability to display some basic Binary Option statistics, when enabled (enabled by default) it shows Successful Bars in Yellow and failed Bars in Black and the last Nine numbers on the script title line represent the Binary option Statistics in order:
%ITM rate
Total orders
Successful Orders
Failed Orders
Total candles tested
Candles per Day
Trades per Day
Max Consecutive Wins
Max Consecutive Losses
You can start the Binary Option statistics from a specific Date, which is handy for checking more recent history.
HINTS:
BINARY OPTIONS trading: use 5min, 15m, 1hr or even Daily charts. Trade after the price touches one of the Breakout lines and the Arrow first appears. Wait for the price to come back from Break Line by 1 or 2 pips, the alert arrow must stay on and candle change to black, then take Binary trade expiry End of Candle. If price pull back and arrow turns off, don't trade this candle, move on you probably don't have momentum, there will be plenty of other trigger events. The backtesting results are good with ITM rates 65% to 72% on many currency pairs, commodities and indices. Realtime trading has confirmed the backtesting results and they could even be bettered, provided you are selective on which signals to trade (strong MACD support etc), that you are patient and disciplined to this trading method.
FOREX trading: the default settings should work with scalping. For longer term trades try with settings change to a more standard MACD filter or slower to catch the longer term momentum swings and the idea would be to trade the first Break Line alert that occurs after a decent Pullback in the direction of the trend. Setting the SL to just above/below the Pivot High/Low and set target to two or three times SL.
References:
"Fundamentals of Price Action Trading for Forex, Stocks, Options and Futures" video:
www.youtube.com
Other videos by "basecamptrading" on Naked Trading.
"Taking Profits in Today's Market by Daryl Guppy" video:
www.youtube.com
Pivot Reversal Strategy - TimeFramedThis is Pivot Reversal Strategy including the time frames for backtesting.
Updated TurtlesThis script has been updated to prevent double orders (short/long) from occurring and modifying backtests results.
This is an update to the script that was written a few years ago to prevent double longs/shorts from occurring and skewin backtesting results. Check out the updated indicator here and let me know what you think.
I also added:
- date range inputs if you want to do some backtesting on a particular set of dates.
- the ability to toggle shorting
3 Duck's Trading System from Babypips.comThe 3 Duck's Trading System from Babypips.com
The 3 Duck's Trading System is the most popular and active trading system thread on the the babypips.com forum. It is a system that is mainly for beginners because it teaches you discipline, learning to cope with price moving against your position and learning to stay in a trade and keep profits running. For the thread and more info on the 3 Duck's Trading System click here
How does it work?
The system is a very simple enter/exit based on the 60 SMA of 3 different time frames: 4 hour, 1 hour and 5 minute.
The Rules, er, the Ducks! The Ducks must all be in a row for a trade to take place!
Duck 1 - To go long, price must be above the 60 SMA on the 4 hour chart.
Duck 2 - To go long, price must be above the 60 SMA on the 1 hour chart.
Duck 3 - To go long, price must cross above the 60 SMA on the 5 minute chart and the 60 SMA of the 5 minute chart must be below that of the 4 hour and 1 hour chart. (obviously the reverse for shorting)
YOU MUST USE THIS SYSTEM ONLY ON THE 5 MINUTE CHART.
I say this because I have already charted all of the Ducks into the 5 minute chart so you don't have to flip back and forth.
I have also added some inputs for profit targets, stop targets, trailing stops and times to trade for backtesting.
If you have any questions or comments, please let me know! If you see I messed up on something, please let me know!
Also a VERY special thanks to the babypips.com user Captain_Currency . He wrote this strategy 10 years ago (2007 was 10 years ago?!) and he is still active on the thread and posting results and offering help!
Adam Smith - MovingAvg CrossSimple Moving Average Cross script. Test on stocks and currency. For stocks test shorter time periods, meaning intra-day time periods such as 3min to 30min and so on to fit what is best. For currency, try longer periods with this model such as day to weeks depending on which currency.
NOTE: Take a look at your Max Drawdowns when testing. This will be the main indicator once you figure out your time period for backtesting. This will also let you know how much money to save and/or hold back in savings for down periods.
Adding some essential components to a prebuilt RSI strategyThis is more to be used as a blank_slate for any strategy build adding more effective backtesting with a period selector and inputs like TS, TP, SL that can all be used as plots for alerts.
It has the BackTest Component created by Pbergden
It also includes the standard long/short with trailing stop, take profit, stop loss and margin call.
Here is a video using the blank_slate to add in the built-in RSI Strategy.
youtu.be
We hope this brings good results and helps speed things up for everyone.
Trend v4.0 Another updateYet another update, default settings can be customized to your needs. Be aware that while this is similar to the other versions, this can only repaint an active bar, but that slows it down by one period. You are warned. Be that as it may, the basic idea is the same; trying to capture the really strong moves into overbought or oversold territory as defined by Relative Strength index. In RSI mode, you can see the smoothing has slowed it down a bit, but warrants backtesting.
First green bar go long, First red bar go short, first white bar possible trend exhaustion. Or use crossovers and such, play with the inputs OB/OS, RSI length, signal length, tick length, swing length, as I said customize to your tastes. I offer no surety as to its efficacy, but we all learn.
Trade Responsibly,
Shiroki
CM Stochastic POP Method 2-Jake Bernstein_V1Yesterday Jake Bernstein authorized me to post his updated results with the Stochastic Pop Trading System he developed many years ago.
You can take a look at the Original System with Updated Settings at
This indicator is a different set of rules Jake mentioned in the PDF he allowed me to post.
To view the PDF use this link:
dl.dropboxusercontent.com
Today we’re releasing the version described in the PDF that uses the StochK values of 55, 50, and 45. The rules are discussed in the PDF but here is a simple breakdown:
Enter Long when StochK is below 50 and Crosses Above 55
Exit Long on Cross Below 55
Enter Short when StochK is Above 50 and crosses Below 45
Exit Short on Cross Above 45
Two Important Items to understand about this method:
To code the rules Precisely we need a function that will be available when Strategy Capabilities are released on TradingView.
There is one of Jakes Profit Maximizing Strategies that needs to be integrated with this code…which again we need the Strategy based Function that will be coming soon.
To Compare this system to the Stochastic Pop Method 1 System shown yesterday at I used the same Symbol and dates for you to compare…but remember to give this Method 2 System a Fair Look/Evaluation…we need the Soon To Be Released…TradingView Strategy Capabilities.
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1 – Stochastic Pop Method 2 System:
Go Long When Stochasticis below 50 and Crosses Above 55. Go Short When Stochastic is above 50 and Crosses Below 45. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 151
Profit = 40,758 Pips
Win% = 37.1%
Profit Factor = 1.26
Avg Trade = 270 Pips Profit
***Most Consecutive Wins = 4 ... Most Consecutive Losses = 7
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 151
Profit = 60.305 Pips
Win% = 37.1%
Profit Factor = 1.38
Avg Trade = 399 Pips Profit
***Most Consecutive Wins = 4 ... Most Consecutive Losses = 7
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach TradingView.com’s community how to create Trading Systems and how to Optimize the correct way.
Link To PDF:
dl.dropboxusercontent.com
Link to Original Version of Indicator with Updated Settings.
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found.
I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow.
Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets.
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way.
Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1:
Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 164
Profit = 50, 126 Pips
Win% = 38.4%
Profit Factor = 1.35
Avg Trade = 306 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 164
Profit = 62, 876 Pips!!!
Win% = 38.4%
Profit Factor = 1.44
Avg Trade = 383 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 3:
Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule.
Results:
Winning Percent Increases to 72.6%!!! , Same Amount of Trades.
***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
-Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines.
Link To Jakes PDF with Rules
dl.dropboxusercontent.com
Stop Loss vs Take Profit Probability and EVThis stop loss and take profit calculator uses a Monte Carlo simulation to calculate the probability of hitting your Stop Loss or Take Profit levels across different time horizons (expressed in bars).
It provides data-driven insights to optimize your risk management and position sizing by showing Expected Value for each scenario.
As a quant, I love using statistical data to help my decisions and get better EV from my trades.
🔬 How It's Calculated
Monte Carlo Simulation: Runs 1,000-10,000 price simulations using a random walk model
Volatility Analysis: Combines ATR-based and Historical Volatility for accurate price movement modeling
Expected Value: Calculates profit/loss expectation using formula: (TP_Probability × Reward) - (SL_Probability × Risk)
Time Horizons: Tests multiple timeframes (1, 5, 10, 20, 50 bars) to find optimal holding periods
Risk/Reward Ratios: Automatically calculates and displays R:R ratios for quick assessment
💡 Use Cases
Position Sizing - Determine optimal risk per trade based on Expected Value
Time Horizon Optimization - Find the best holding period for your strategy
Stop Loss Placement - Validate SL levels using probability analysis
Take Profit Optimization - Set TP levels with statistical backing
Strategy Backtesting - Compare different R:R setups before entering trades
Risk Management - Avoid trades with negative Expected Value
Swing vs Day Trading - Choose timeframes with highest success probability
🎯 How to Use
Setup Trade: Enter your entry price, stop loss, and take profit levels
You can add or remove time horizons denominated in bars. Say you are looking at 1h candles, adding a 24-bar time horizon means you are looking into 24 hours
Choose Direction: Select Long or Short position
Review Table
Analyze Expected Value: Focus on positive EV scenarios (green background)
Optimize Timing: Select time horizons with best risk/reward profile
Adjust Parameters: Modify volatility calculation method and simulation count if needed
Examples
Here's how you can read the tables.
Example 1:
In this chart, we are analyzing the TP and SL probabilities as well as the EV (expected value) for a stock. I want to check what the likelihood is that my SL and TP get triggered over the next 5 days. The stock market is open for 6.5 hours per day, which is 13 bars in this 30-minute bar chart. 26 bars is 2 days, 39 bars is 3 days and so on.
Although this trade is more likely to trigger my SL than my TP, in some of the time horizons we have a positive expected value because of the risk/reward of our trade (i.e. distance of the SL and TP from the price) and the probability of hitting SL and TP.
Example 2:
In this example, we have applied the indicator to gold. Because the TP is much closer to the price, the probability of hitting the TP is much higher.
We can also observe that the expected Value in the shorter time frames is better than in the longer ones. This can give us some clues to set up our trade. If we know that the EV is positive, we can allocate more to that specific trade.
Enjoy, and please let me know your feedback! 😊🥂
4 DU DINHSample Indicator Introduction (English)
Title:
Adaptive Trend & Momentum Indicator
Short Description:
An adaptive indicator that combines trend detection and momentum confirmation to help identify potential entry and exit points in various markets.
Full Description:
This indicator is designed to provide traders with a clear view of both trend direction and momentum strength. It dynamically adjusts to different market conditions, making it suitable for cryptocurrencies, stocks, and forex.
Main Features:
Trend Identification: Uses adaptive moving averages to detect bullish or bearish market phases.
Momentum Confirmation: Integrates oscillator-based signals to reduce false entries during sideways markets.
Customizable Inputs: Adjustable sensitivity, smoothing factors, and signal thresholds.
Non-repainting Logic: Signals are only confirmed after candle close to avoid misleading entries.
How to Use:
A bullish signal occurs when trend direction turns positive and momentum confirms.
A bearish signal occurs when trend direction turns negative with momentum confirmation.
Recommended for H1 and higher timeframes, but can be tuned for intraday strategies.
⚠️ Disclaimer: This indicator is for educational purposes only. It does not guarantee profits. Always combine with proper risk management and backtesting before trading live.
MS - Crypto RSI-Based Trading StrategyThis is a comprehensive trend-following and momentum-based strategy designed for the cryptocurrency market. It combines multiple leading indicators to filter out market noise and generate high-quality buy and sell signals.
Key Indicators:
Moving Average (MA): To determine the main trend direction.
Relative Strength Index (RSI): To measure momentum and identify overbought/oversold conditions.
Directional Movement Index (DMI): To confirm the strength of the trend.
Volume & ATR: To validate market interest and filter out excessive volatility.
Buy Conditions (All Must Be True):
Price and Trend Alignment: The current price is above the MA50 (with a 5% buffer).
Momentum Confirmation: The RSI is between 50 and 70.
Trend Strength: The +DI is greater than the -DI.
Market Interest: Volume is 1.5 times its moving average.
Low Volatility: The ATR is below its average.
Sell Conditions (Any One Is True):
Trend Reversal: The price drops below the MA50 (with a 5% buffer).
Momentum Loss: The RSI drops below 45.
Trend Weakness: The -DI crosses above the +DI.
Market Fatigue: Volume drops below 50% of its moving average.
High Volatility: The ATR is above its average.
Disclaimer: This is a backtesting tool and not financial advice. Past performance is not an indicator of future results. Always use proper risk management and conduct your own research before trading.
FNGAdataDates_Part2FNGAdataDates_Part2 provides the second part of historical trading dates for a financial instrument (e.g., FNGA index or related asset), covering approximately mid-2021 to January 22, 2018, with 896 trading days. The dates are organized into 18 chunks (dates_19 to dates_36), with 50 dates per chunk for 19–35 and 46 dates for chunk 36 (excluding weekends and possibly holidays). This library complements FNGAdataDates_Part1 to complete the 1,846-date dataset and is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, analysis, or visualization in Pine Script.
FNGAdataDates_Part1FNGAdataDates_Part1 provides historical trading dates for a financial instrument (e.g., FNGA index or related asset) from May 23, 2025, to approximately mid-2021, covering 950 trading days. The dates are organized into 19 chunks (dates_0 to dates_18), each containing 50 timestamps representing trading days (excluding weekends and possibly holidays). This library is part one of a two-part set due to Pine Script token limits and must be used with FNGAdataDates_Part2 for the complete dataset (1,846 dates). It is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, technical analysis, or visualization in Pine Script.
Marubozu Detector with Dynamic SL/TP
Strategy Overview:
This indicator detects a "Marubozu" bullish pattern or a “Marubozu” bearish pattern to suggest potential buy and sell opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones.
This tool is intended for educational and informational purposes only.
Key Features:
Entry: Based on detecting Marubozu bullish or bearish candle pattern.
Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs or swing lows).
Smart Liquidity: Optionally identify deeper liquidity targets.
Full Alerts: Buy and Sell signals supported with customizable alerts.
Visualized Trades: Entry, SL, and TP levels are plotted on the chart.
User Inputs:
ATR Length, ATR Multipliers
Take Profit Mode (Liquidity/ATR)
Swing Lookback and Strength
Toggleable Buy/Sell alerts
All Time Frames
📖 How to Use:
Add the Indicator:
Apply the script to your chart from the TradingView indicators panel.
Look for Buy Signals:
A buy signal is triggered when the script detects a "Marubozu" bullish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Look for Sell Signals:
A Sell signal is triggered when the script detects a "Marubozu" bearish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Choose Take Profit Mode:
ATR Mode: TP is based on a volatility target.
Liquidity Mode: TP is based on past swing highs.
Set Alerts (Optional):
Enable Buy/Sell alerts in the settings to receive real-time notifications.
Practice First:
Always backtest and paper trade before live use.
📜 Disclaimer:
This script does not offer financial advice.
No guarantees of profit or performance are made.
Use in demo accounts or backtesting first.
Always practice proper risk management and seek advice from licensed professionals if needed.
✅ Script Compliance:
This script is designed in full accordance with TradingView’s House Rules for educational tools.
No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.