Ebb N Flo Trend [Backtester]Ebb n Flo Trend is a trend indicator that makes use of higher time frame High - Low pivots to determine when a trend has changed
In order to reduce over trading, and to reduce fake outs, the script relies on a clever combination of Fib ratio expansions and an averaged candle close
By combining the above strategies, the trend indicator forms a trailing trend indicator
The script determines when the current market condition has crossed over or under the trailing trend, and based on the closing conditions will change the trend of the script signaling a change. If the trend indicator is below the current market and green, the trend is bullish. If the trend is above the market and red, the trend is bearish
The indicator does not repaint, as such, once a signal has been received, the condition has been met on a previous candle and is final
Trend indicator can be used on any markets, for both Long and Short swings, however is best suited for long term trading on certain crypto markets (based on backtesting results). Be on the lookout for pairs with decent volume on reputable exchanges. It is not a holy grail type script for all markets. The key is to find enough to diversify your trades.
As can be seen in the backtester results, the script performs exceptionally well when trading using the 1W higher time frame (selection in the script settings), in the 1D current time frame (selecting the chart time frame)
The script is ideal for the beginner trader that cannot spend hours everyday looking at charts.
The backtesting results are based on allocating 10% of your portfolio to a single trade - this should be determined by your risk appetite.
There are risks associated with any form of investing. Never invest more than you are willing to lose. Past performance is not a guarantee or predictor of future performance. Do your own due diligence before making any investment decisions.
Configuration:
The dropdown in the script selects the time frame for Highs and Lows that the script must consider, and the chart time frame is the time frame of which closing conditions the script should use
Alerts:
The indicator comes with 2 off alerts: open_LONG and open_SHORT, which in itself is self explanatory, however, due to the slow trading nature of the script, alerts are generally not needed
Once you receive access to the trial version, you will also receive a link to a video that will show you exactly how to set up the script
Happy trading
在腳本中搜尋"high low"
MACD Strategy [Trading Nerd]This Strategy uses a EMA as a trend filter and MACD for entries. The stoploss can be calculated by the last highs/lows or by the ATR.
Entry Conditions
Long:
close price must be above the EMA
MACD-Line crossover MACD-Signal-Line
MACD-Signal- Line mus be below 0
Short:
close price must be below the EMA
MACD-Line crossunder MACD-Signal-Line
MACD-Signal- Line mus be above 0
Exit Conditions
The Stoploss can be set in two different ways:
1. By the calculated ATR value of the entry Candle. This Value can be multiplied with the ATR multiplier for SL .
For Longs: SL = entry Price - ATR * ATR-multiplier
For Shorts: SL = entry Price + ATR * ATR-multiplier
2. By the previous highest high or lowest low (also called Donchain Channels). The lookback length can be changed in the at Lookback length for HH/LL SL .
For Longs: SL = LL of the last X candles
For Shorts: SL = HH of the last X candles
Take Profit
The TP is calculated by the Risk * Risk Reward Ratio . The Risk Reward Ratio can be changed in the Settings. The Risk is the difference of entry price and stoploss price: Risk = absolute(entry price - stoploss price)
For Longs: TP = entry Price + Risk * Risk Reward Ratio.
For Shorts: TP = entry Price - Risk * Risk Reward Ratio.
Risk Management
You can set the Risk % per Trade in the settings. A Value of 2 means that the position size is calculated in a way that at a loosing trade the strategy will only loose 2% of the current capital (initial capital + net profit).
E.g.: The current capital is $1000 and a trade hits the SL. The strategy will only loose $20.
Info for Alerts: Alert message conversion of JSON Strings. You don't need to add any \n or \" to the alert String.
When you create the Alert the Message must be: {{strategy.order.alert_message}}
MA Candles Supertrend StrategySimple strategy which is derived by below method:
1. Calculate moving average of High, Low, Open and Close and make candles of them.
2. Derive supertrend on the moving average candles.
3. Generate buy and sell signals based on supertrend direction combined with higher timeframe high-low condition
TradeChartist Donchian Channels Breakout Strategy™TradeChartist Donchian Channels Breakout Strategy is the strategy backtester version of ™TradeChartist Donchian Channels Breakout Filter .
===================================================================================================================
Features of ™TradeChartist Donchian Channels Breakout Strategy
========================================================
Option to plot Donchian Channels of user preferred length, based on the Source price in addition to High/Low Donchian Channels.
Generates trade entries based on user preferred Breakout Price. For example, if the user prefers HL2 as breakout price, irrespective of the Donchian Channels type, trade entries are generated only when hl2 price (average of high/low) breaks out of the upper or lower band.
Option to plot background colour based on Breakout trend. The bull zones are filled with green background, the Bear zones are filled with red background and the bar that broke out is filled with orange background.
Option to colour price bars using Donchian Channels price trend. The Donchian Channels basis line is plotted using the same colours as coloured bars as default.
Note: This script does not repaint. To use the script for trade entries, wait for the bar close without Backtester or Strategy entries (with Backtester) and use a second confirmator (includes fundamentals) based on asset type as some markets require users to have good pulse on the fundamentals as trading by Technicals/price action dynamic alone may not be safe.
Note: Trend Based Stochastic of the same DC Length can be used from ™TradeChartist Risk Meter for Trade Confirmations too.
===================================================================================================================
Best Practice: Test with different settings first using Paper Trades before trading with real money
===================================================================================================================
This is not a free to use strategy. Get in touch with me (PM me directly if you would like trial access to test the strategy)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
===================================================================================================================
Combo Backtest 123 Reversal & Klinger Volume Oscillator This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning
from prior research on volume by such well-known technicians as Joseph Granville,
Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based
indicator to help in both short- and long-term analysis.
The KO was developed with two seemingly opposite goals in mind: to be sensitive
enough to signal short-term tops and bottoms, yet accurate enough to reflect the
long-term flow of money into and out of a security.
The KO is based on the following tenets:
Price range (i.e. High - Low) is a measure of movement and volume is the force behind
the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when
today's sum is greater than the previous day's. Conversely, distribution occurs when
today's sum is less than the previous day's. When the sums are equal, the existing trend
is maintained.
Volume produces continuous intra-day changes in price reflecting buying and selling pressure.
The KO quantifies the difference between the number of shares being accumulated and distributed
each day as "volume force". A strong, rising volume force should accompany an uptrend and then
gradually contract over time during the latter stages of the uptrend and the early stages of
the following downtrend. This should be followed by a rising volume force reflecting some
accumulation before a bottom develops.
WARNING:
- For purpose educate only
- This script to change bars colors.
AlignedMA and Cumulative HighLow StrategyCombining the indicators:
1. Aligned Moving Average Index :
2. Cumulative High Low Index :
3. Supertrend
Works best in long only for crypto and precious metals.
My scenario is to present how much you can earn by investing 1000 for full 10 years. Hence, I am using fixed 1000 initial deposit and 100% equity per trade without any pyramiding. This allows us to compare gains to buy and hold.
E&M Strategy Box with Stock ScreenerENGLISH
“E&M Strategy Box” is an indicator created to combine different strategies. Different strategies are planned to be added in the future.
General Features:
First, the related strategy is selected from the "Strategy Type" tab. There are 2 different strategy choices.
• Trend : For Most and OTT Indicator
• MA : For Moving Average Indicator
1- Trend Strategy Options
Within this section, there are 2 important indicators such as Most and OTT. And with the help of these indicators, buy-sell signals are formed.
• Show Trend Signals : Show Trend and Support Line Signal?
• Show Trend Crossing Signals : Show Buy/Sell Signal?
2- MA Strategy Options
There are different moving averages in this section. And in line with cross of these moving averages, buy-sell signals are formed.
- T3
- EMA
- SMA
- DEMA
- TEMA
- WMA
- VWMA
- SMMA
- HMA
- VMA
- ZLEMA
Many different moving environments will be added over time.
• Show MA Signals : Show MA Signal?
• Show MA Crossing Signals : Show Buy/Sell Signal?
3- Stock Screener Options
One of the most important features of the indicator is that it scans among 40 symbols given the receive signal in line with the conditions mentioned above and lists the results. Stock screener is carried out over the relevant time period for the active symbol.
Stock Screener On / Off : Enable the Stock Screener Feature
Last Bar Back : How many bars back
4- Strategy Tester Options
The activation of the strategy test feature in Tradingview and at the same time, by giving the standard deviation value during the buy-sell signals, false buy-sell signals are reduced in the horizontal market. With the activation of the test feature, some additional statistical information about performance is also provided.
Enable Strategy Tester : Enable the Strategy Tester Feature
Standard Deviation Period : Standard Deviation Period
Standard Deviation Value : Standard Deviation Value
5- Backtest Input Options
With the activation of the strategy test feature, it is the section in which time intervals the relevant back tests are entered. As the values change, the corresponding performance values also change dynamically.
6- Support & Resistance Options
It is the section where the parameters are entered in order to show the support and resistance points in the related period while applying buy and sell strategies. Also, High-Low values are shown on the graph in this section.
Pivot Length : Pivot Length
Show Pivot Level : Show Pivot Level
Show S / R Level : Show Support and Resistance Level
7- All Symbol Lists
It is the section where the symbol information entered. If you have different strategies and you share them, related additions can be made as a strategy within the code.
TÜRKÇE
“E&M Strategy Box”, farklı stratejileri biraraya getirmek için oluşturulmuş bir indikatördür. İleriki zamanlarda farklı farklı stratejilerin eklenmesi düşünülmektedir.
Genel Özellikler:
İlk olarak “Strategy Type” sekmesinden ilgili stratejisi seçimi yapılır. 2 farklı stratejimi seçimi bulunmaktadır.
• Trend : Most ve OTT indikatörleri için
• MA : Hareketli ortalama indikatörleri için
1- Trend Strategy Options:
Bu bölüm içerisinde Most ve OTT gibi 2 önemli indikatör bulunmaktadır. Ve bu indikatörler yardımıyla al-sat sinyalleri oluşmaktadır.
• Show Trend Signals : Trend ve Destek sinyali görüntülensin mi?
• Show Trend Crossing Signals : Al-Sat mesajı görüntülensin mi?
2- MA Strategy Options:
Bu bölüm içerisinde birbirinden farklı hareketli ortalamalar bulunmaktadır. Ve bu hareketli ortalamaların kesişimleri doğrultusunda al-sat sinyalleri oluşmaktadır. Hareketli ortamalar:
- T3
- EMA
- SMA
- DEMA
- TEMA
- WMA
- VWMA
- SMMA
- HMA
- VMA
- ZLEMA
Zaman içerisinde çok daha farklı hareketli ortamalar eklenecektir.
• Show MA Signals : HO sinyalleri görüntülensin mi?
• Show MA Crossing Signals : Al-Sat mesajı görüntülensin mi?
3- Stock Screener Options
Indikatörün en önemli özelliklerinden biri de yukarıda belirtilen koşullar doğrultusunda al sinyali verilen 40 sembol arasından tarama yapması ve sonuçları listelemesidir. Hisse taraması aktif hisse için ilgili zaman periyodu üzerinden yapılmaktadır.
Stock Screener On/Off : Hisse tarama özelliğinin aktive edilmesi
Last Bar Back : Kaç bar öncesi
4- Strategy Tester Options
Tradingview içerisinde yer alan strateji test özelliğinin aktive edilmesi ve aynı zamanda al-sat sinyalleri sırasında, standart sapma değeri verilerek, yatay piyasada yanlış al sat sinyallerinin azaltılması sağlanmıştır. Test özelliğinin aktive edilmesi ile birlikte performans ile ilgili bazı ek istatistiki bilgiler de sunulmaktadır.
Enable Strategy Tester : Strateji test özelliğinin aktive edilmesi
Standart Deviation Period : Standart Sapma Peryodu
Standart Deviation Value : Standart Sapma Değeri
5- Backtest Input Options:
Strateji test özelliğinin aktive edilmesi ile birlikte, hangi zaman aralıklarında ilgili geriye dönük testlerin girişlerinin yapıldığı bölümdür. Değerler değiştikçe, ilgili performans değerleri de dinamik olarak değişmektedir.
6- Support & Resistance Options
Al ve sat stratejileri uygularken, ilgili peryotta destek ve direnç noktalarının da gösterimi için parametrelerin giriş yapıldığı bölümdür. Ayrıca bu bölüm içerisinde Yüksek Düşük (High-Low) değerleri de grafik üzerinde gösterilmektedir.
Pivot Length : Pivot Uzunluğu
Show Pivot Level : Pivot Seviyelerinin Gösterimi
Show S/R Level : Destek ve Direnç Sevilerinin Gösterimi
7- All Symbol Lists
Yukarıda belirtilen tarama koşullarının hangi hisseler üzerinden yapılmak istendiği ile ilgili hisse bilgilerinin giriş yapıldığı bölümdür. Farklı stratejileriniz varsa ve paylaşmanız durumunda kod içerisinde strateji olarak ilgili eklemeler yapılabilir.
Klinger Volume Oscillator (KVO) Backtest The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning
from prior research on volume by such well-known technicians as Joseph Granville,
Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based
indicator to help in both short- and long-term analysis.
The KO was developed with two seemingly opposite goals in mind: to be sensitive
enough to signal short-term tops and bottoms, yet accurate enough to reflect the
long-term flow of money into and out of a security.
The KO is based on the following tenets:
Price range (i.e. High - Low) is a measure of movement and volume is the force behind
the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when
today's sum is greater than the previous day's. Conversely, distribution occurs when
today's sum is less than the previous day's. When the sums are equal, the existing trend
is maintained.
Volume produces continuous intra-day changes in price reflecting buying and selling pressure.
The KO quantifies the difference between the number of shares being accumulated and distributed
each day as "volume force". A strong, rising volume force should accompany an uptrend and then
gradually contract over time during the latter stages of the uptrend and the early stages of
the following downtrend. This should be followed by a rising volume force reflecting some
accumulation before a bottom develops.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading.
B3 Edge Trail-TraderAnswer to the locked strategy... Formerly "High-Low Trader" .. Changed the name to Edge Trail Trader to delineate from the locked version, which is no different. You can add this one to your favorites now.
Similar to SuperTrend or the ATR trailing stop lines that are common-place in chart indicator circles, the B3 High-Low Trail-Trader works as a back-break line to flip binary long and short biasing. Here is the strategy set to 7 bars back. You can find this style of trading system in several books, and there are many ways to come to the trailing stop line, so I imagine the bars back length can be slid around to suit certain charts. This happens to be my favorite trailing line.
HullMA cross StrategyFrom Indicator420 by SeaSide420 HULL MOVING AVERAGE CROSS & CANDLE CROSS
Hull Moving Average (HMA) formula
Integer(SquareRoot(Period)) WMA (2 x Integer(Period/2) WMA(Price) - Period WMA(Price))
Solving the problem of lag requires an explanation with numbers rather than charts. Consider a series of 10 numbers from '0' to '9' inclusive and imagine that they are successive price points on a chart with 9 being the most recent price point at the right hand leading edge.
If we take the 10 period simple average of these numbers then, not surprisingly, we will determine the midpoint of 4.5 which significantly lags behind the most recent price point of 9. Here's the clever bit, first let's halve the period of the average to 5 and apply it to the most recent numbers of 5, 6, 7, 8 and 9, the result being the midpoint of 7.
To remove the lag we take the midpoint of 7 and add the difference between the two averages which equals 2.5 (7 - 4.5). This gives a final answer of 9.5 (7 + 2.5) which is a slight overcompensation. But this overcompensation is very handy because it offsets the lagging effect of the nested averaging.
Hence the result of combining these 2 techniques is a near perfect balance between lag reduction and curve smoothing. The HMA manages to keep up with rapid changes in price activity whilst having superior smoothing over an SMA of the same period.
The HMA employs weighted moving averages and dampens the smoothing effect (and resulting lag) by using the square root of the period instead of the actual period itself.
There are 3 HullMAs in the script, one runs on current price, and others on previous candle prices, when they cross over, is the entry signal.
The strategy also includes a candle cross condition for entry:
(if current price greater than previous candle value (Open+High+Low+Close)/4) then BUY
(if current price less than previous candle value (Open+High+Low+Close)/4) then SELL
in total 4 crossover conditions must be met to initiate a signal.
TradeShields Strategy Builder🛡 WHAT IS TRADESHIELDS?
This no-code strategy builder is designed for traders on TradingView, offering an intuitive platform to create, backtest, and automate trading strategies. While identifying signals is often straightforward, the real challenge in trading lies in managing risk and knowing when not to trade. It equips users with advanced tools to address this challenge, promoting disciplined decision-making and structured trading practices.
This is not just a collection of indicators but a comprehensive toolkit that helps identify high-quality opportunities while placing risk management at the core of every strategy. By integrating customizable filters, robust controls, and automation capabilities, it empowers traders to align their strategies with their unique objectives and risk tolerance.
_____________________________________
🛡 THE GOAL: SHIELD YOUR STRATEGY
The mission is simple: to shield your strategy from bad trades . Whether you're a seasoned trader or just starting, the hardest part of trading isn’t finding signals—it’s avoiding trades that can harm your account. This framework prioritizes quality over quantity , helping filter out suboptimal setups and encouraging disciplined execution.
With tools to manage risk, avoid overtrading, and adapt to changing market conditions, it protects your strategy against impulsive decisions and market volatility.
_____________________________________
🛡 HOW TO USE IT
1. Apply Higher Timeframe Filters
Begin by analyzing broader market trends using tools like the 200 EMA, Ichimoku Cloud, or Supertrend on higher timeframes (e.g., daily or 4-hour charts).
- Example: Ensure the price is above the 200 EMA on the daily chart for long trades or below it for short trades.
2. Identify the Appropriate Entry Signal
Choose an entry signal that aligns with your model and the asset you're trading. Options include:
Supertrend changes for trend reversals.
Bollinger Band touches for mean-reversion trades.
RSI strength/weakness for overbought or oversold conditions.
Breakouts of key levels (e.g., daily or weekly highs/lows) for momentum trades.
MACD and TSI flips.
3. Determine Take-Profit and Stop-Loss Levels
Set clear exit strategies to protect your capital and lock in profits:
Use single, dual, or triple take-profit levels based on percentages or price levels.
Choose a stop-loss type, such as fixed percentage, ATR-based, or trailing stops.
Optionally, set breakeven adjustments after hitting your first take-profit target.
4. Apply Risk Management Filters
Incorporate risk controls to ensure disciplined execution:
Limit the number of trades per day, week, or month to avoid overtrading.
Use time-based filters to trade during specific sessions or custom windows.
Avoid trading around high-impact news events with region-specific filters.
5. Automate and Execute
Leverage the advanced automation features to streamline execution. Alerts are tailored specifically for each supported platform, ensuring seamless integration with tools like PineConnector, 3Commas, Zapier, and more.
_____________________________________
🛡 CORE FOCUS: RISK MANAGEMENT, AUTOMATION, AND DISCIPLINED TRADING
This builder emphasizes quality over quantity, encouraging traders to approach markets with structure and control. Its innovative tools for risk management and automation help optimize performance while reducing effort, fostering consistency and long-term success.
_____________________________________
🛡 KEY FEATURES
General Settings
Theme Customization : Light and dark themes for a tailored interface.
Timezone Adjustment : Align session times and news schedules with your local timezone.
Position Sizing : Define lot sizes to manage risk effectively.
Directional Control : Choose between long-only, short-only, or both directions for trading.
Time Filters
Day-of-Week Selection : Enable or disable trading on specific days.
Session-Based Trading : Restrict trades to major market sessions (Asia, London, New York) or custom windows.
Custom Time Windows : Precisely control the timeframes for trade execution.
Risk Management Tools
Trade Limits : Maximum trades per day, week, or month to avoid overtrading.
Automatic Trade Closures : End-of-session, end-of-day, or end-of-week options.
Duration-Based Filters : Close trades if take-profit isn’t reached within a set timeframe or if they remain unprofitable beyond a specific duration.
Stop-Loss and Take-Profit Options : Fixed percentage or ATR-based stop-losses, single/dual/triple take-profit levels, and breakeven stop adjustments.
Economic News Filters
Region-Specific Filters : Exclude trades around major news events in regions like the USA, UK, Europe, Asia, or Oceania.
News Avoidance Windows : Pause trades before and after high-impact events or automatically close trades ahead of scheduled news releases.
Higher Timeframe Filters
Multi-Timeframe Tools : Leverage EMAs, Supertrend, or Ichimoku Cloud on higher timeframes (Daily, 4-hour, etc.) for trend alignment.
Chart Timeframe Filters
Precision Filtering : Apply EMA or ADX-based conditions to refine trade setups on current chart timeframes.
Entry Signals
Customizable Options : Choose from signals like Supertrend, Bollinger Bands, RSI, MACD, Ichimoku Cloud, or EMA pullbacks.
Indicator Parameter Overrides : Fine-tune default settings for specific signals.
Exit Settings
Flexible Take-Profit Targets : Single, dual, or triple targets. Exit at significant levels like daily/weekly highs or lows.
Stop-Loss Variability : Fixed, ATR-based, or trailing stop-loss options.
Alerts and Automation
Third-Party Integrations : Seamlessly connect with platforms like PineConnector, 3Commas, Zapier, and Capitalise.ai.
Precision-Formatted Alerts : Alerts are tailored specifically for each platform, ensuring seamless execution. For example:
- PineConnector alerts include risk-per-trade parameters.
- 3Commas alerts contain bot-specific configurations.
_____________________________________
🛡 PUBLISHED CHART SETTINGS: 15m COMEX:GC1!
Time Filters : Trades are enabled from Tuesday to Friday, as Mondays often lack sufficient data coming off the weekend, and weekends are excluded due to market closures. Custom time sessions are turned off by default, allowing trades throughout the day.
Risk Filters : Risk is tightly controlled by limiting trades to a maximum of 2 per day and enabling a mechanism to close trades if they remain open too long and are unprofitable. Weekly trade closures ensure that no positions are carried over unnecessarily.
Economic News Filters : By default, trades are allowed during economic news periods, giving traders flexibility to decide how to handle volatility manually. It is recommended to enable these filters if you are creating strategies on lower timeframes.
Higher Timeframe Filters : The setup incorporates confluence from higher timeframe indicators. For example, the 200 EMA on the daily timeframe is used to establish trend direction, while the Ichimoku cloud on the 30-minute timeframe adds additional confirmation.
Entry Signals : The strategy triggers trades based on changes in the Supertrend indicator.
Exit Settings : Trades are configured to take partial profits at three levels (1%, 2%, and 3%) and use a fixed stop loss of 2%. Stops are moved to breakeven after reaching the first take profit level.
_____________________________________
🛡 WHY CHOOSE THIS STRATEGY BUILDER?
This tool transforms trading from reactive to proactive, focusing on risk management and automation as the foundation of every strategy. By helping users avoid unnecessary trades, implement robust controls, and automate execution, it fosters disciplined trading.
CCI+EMA Strategy with Percentage or ATR TP/SL [Alifer]This is a momentum strategy based on the Commodity Channel Index (CCI), with the aim of entering long trades in oversold conditions and short trades in overbought conditions.
Optionally, you can enable an Exponential Moving Average (EMA) to only allow trading in the direction of the larger trend. Please note that the strategy will not plot the EMA. If you want, for visual confirmation, you can add to the chart an Exponential Moving Average as a second indicator, with the same settings used in the strategy’s built-in EMA.
The strategy also allows you to set internal Stop Loss and Take Profit levels, with the option to choose between Percentage-based TP/SL or ATR-based TP/SL.
The strategy can be adapted to multiple assets and timeframes:
Pick an asset and a timeframe
Zoom back as far as possible to identify meaningful positive and negative peaks of the CCI
Set Overbought and Oversold at a rough average of the peaks you identified
Adjust TP/SL according to your risk management strategy
Like the strategy? Give it a boost!
Have any questions? Leave a comment or drop me a message.
CAUTIONARY WARNING
Please note that this is a complex trading strategy that involves several inputs and conditions. Before using it in live trading, it is highly recommended to thoroughly test it on historical data and use risk management techniques to safeguard your capital. After backtesting, it's also highly recommended to perform a first live test with a small amount. Additionally, it's essential to have a good understanding of the strategy's behavior and potential risks. Only risk what you can afford to lose .
USED INDICATORS
1 — COMMODITY CHANNEL INDEX (CCI)
The Commodity Channel Index (CCI) is a technical analysis indicator used to measure the momentum of an asset. It was developed by Donald Lambert and first published in Commodities magazine (now Futures) in 1980. Despite its name, the CCI can be used in any market and is not just for commodities. The CCI compares current price to average price over a specific time period. The indicator fluctuates above or below zero, moving into positive or negative territory. While most values, approximately 75%, fall between -100 and +100, about 25% of the values fall outside this range, indicating a lot of weakness or strength in the price movement.
The CCI was originally developed to spot long-term trend changes but has been adapted by traders for use on all markets or timeframes. Trading with multiple timeframes provides more buy or sell signals for active traders. Traders often use the CCI on the longer-term chart to establish the dominant trend and on the shorter-term chart to isolate pullbacks and generate trade signals.
CCI is calculated with the following formula:
(Typical Price - Simple Moving Average) / (0.015 x Mean Deviation)
Some trading strategies based on CCI can produce multiple false signals or losing trades when conditions turn choppy. Implementing a stop-loss strategy can help cap risk, and testing the CCI strategy for profitability on your market and timeframe is a worthy first step before initiating trades.
2 — AVERAGE TRUE RANGE (ATR)
The Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range of price movements in a financial asset over a specific period of time. The ATR was developed by J. Welles Wilder Jr. and introduced in his book “New Concepts in Technical Trading Systems” in 1978.
The ATR is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The ATR can be used to set stop-loss orders. One way to use ATR for stop-loss orders is to multiply the ATR by a factor (such as 2 or 3) and subtract it from the entry price for long positions or add it to the entry price for short positions. This can help traders set stop-loss orders that are more adaptive to market volatility.
3 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
STRATEGY EXPLANATION
1 — INPUTS AND PARAMETERS
The strategy uses the Commodity Channel Index (CCI) with additional options for an Exponential Moving Average (EMA), Take Profit (TP) and Stop Loss (SL).
length : The period length for the CCI calculation.
overbought : The overbought level for the CCI. When CCI crosses above this level, it may signal a potential short entry.
oversold : The oversold level for the CCI. When CCI crosses below this level, it may signal a potential long entry.
useEMA : A boolean input to enable or disable the use of Exponential Moving Average (EMA) as a filter for long and short entries.
emaLength : The period length for the EMA if it is used.
2 — CCI CALCULATION
The CCI indicator is calculated using the following formula:
(src - ma) / (0.015 * ta.dev(src, length))
src is the typical price (average of high, low, and close) and ma is the Simple Moving Average (SMA) of src over the specified length.
3 — EMA CALCULATION
If the useEMA option is enabled, an EMA is calculated with the given emaLength .
4 — TAKE PROFIT AND STOP LOSS METHODS
The strategy offers two methods for TP and SL calculations: percentage-based and ATR-based.
tpSlMethod_percentage : A boolean input to choose the percentage-based method.
tpSlMethod_atr : A boolean input to choose the ATR-based method.
5 — PERCENTAGE-BASED TP AND SL
If tpSlMethod_percentage is chosen, the strategy calculates the TP and SL levels based on a percentage of the average entry price.
tp_percentage : The percentage value for Take Profit.
sl_percentage : The percentage value for Stop Loss.
6 — ATR-BASED TP AND SL
If tpSlMethod_atr is chosen, the strategy calculates the TP and SL levels based on Average True Range (ATR).
atrLength : The period length for the ATR calculation.
atrMultiplier : A multiplier applied to the ATR to set the SL level.
riskRewardRatio : The risk-reward ratio used to calculate the TP level.
7 — ENTRY CONDITIONS
The strategy defines two conditions for entering long and short positions based on CCI and, optionally, EMA.
Long Entry: CCI crosses below the oversold level, and if useEMA is enabled, the closing price should be above the EMA.
Short Entry: CCI crosses above the overbought level, and if useEMA is enabled, the closing price should be below the EMA.
8 — TP AND SL LEVELS
The strategy calculates the TP and SL levels based on the chosen method and updates them dynamically.
For the percentage-based method, the TP and SL levels are calculated as a percentage of the average entry price.
For the ATR-based method, the TP and SL levels are calculated using the ATR value and the specified multipliers.
9 — EXIT CONDITIONS
The strategy defines exit conditions for both long and short positions.
If there is a long position, it will be closed either at TP or SL levels based on the chosen method.
If there is a short position, it will be closed either at TP or SL levels based on the chosen method.
Additionally, positions will be closed if CCI crosses back above oversold in long positions or below overbought in short positions.
10 — PLOTTING
The script plots the CCI line along with overbought and oversold levels as horizontal lines.
The CCI line is colored red when above the overbought level, green when below the oversold level, and white otherwise.
The shaded region between the overbought and oversold levels is plotted as well.
Phantom Trigger Phantom Trigger – Precision Trend Execution with TP1/TP2 and Weak Trend Exits
Phantom Trigger is a professional-grade trend-following strategy designed for crypto and high-volatility assets. It combines advanced trend detection with precise risk-managed exits using a multi-level take-profit system.
🔍 What It Does
Identifies strong directional moves using a multi-stage smoothed trend model
Confirms entries using structure-based logic and volume pressure
Filters trades using bias zones, confirmation levels, and trend acceleration
Automatically manages trades with two-stage take-profits (TP1 and TP2)
Exits early on trend weakness before reversal
Includes a styled real-time dashboard and bar coloring for visual guidance
Sends bot-compatible alerts for multi-exchange automation
⚙️ Core Components
Trend Engine: A smoothed dynamic filter detects real-time trend direction and momentum shifts
Bias Structure: Mid-high/low range-based logic determines if price is favoring bullish or bearish structure
Confirmation Levels: Short- and long-term zone crossovers confirm directional alignment
Volume Filter: Detects volume expansion spikes to validate strong breakout potential
TP1/TP2 Logic: Dynamically sets two profit targets and executes partial and full exits automatically
Weak Trend Exit: Closes positions one bar before reversal using directional filters
🧠 How to Use
Works best on crypto (1H, 4H) and high-volume instruments
Use dashboard stats to monitor position status, PnL, and TP1/TP2 progression
Alerts are pre-labeled and compatible with bots like 3Commas, Wunderbit, etc.
Can be adapted for both scalping and swing trading
📊 Dashboard
The built-in real-time dashboard displays current trade status, entry price, TP1/TP2 progress, win rate, profit factor, and bars since entry. It updates live with every candle and provides a quick-glance overview to support your decision-making during active trades.
🧠 How to Use
Works best on crypto (1H, 4H) and high-volume instruments
Use dashboard stats to monitor position status, PnL, and TP1/TP2 progression
Alerts are pre-labeled and compatible with bots like 3Commas, Wunderbit, etc.
Can be adapted for both scalping and swing trading
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always test strategies thoroughly using demo or backtesting environments before applying to live markets. Past performance is not indicative of future results.
VWAP StrategyVWAP and volatility filters for structured intraday trades.
How the Strategy Works
1. VWAP Anchored to Session
VWAP is calculated from the start of each trading day.
Standard deviations are used to create bands above/below the VWAP.
2. Entry Triggers: Al Brooks H1/H2 and L1/L2
H1/H2 (Long Entry): Opens below 2nd lower deviation, closes above it.
L1/L2 (Short Entry): Opens above 2nd upper deviation, closes below it.
3. Volatility Filter (ATR)
Skips trades when deviation bands are too tight (< 3 ATRs).
4. Stop Loss
Based on the signal bar’s high/low ± stop buffer.
Longs: signalBarLow - stopBuffer
Shorts: signalBarHigh + stopBuffer
5. Take Profit / Exit Target
Exit logic is customizable per side:
VWAP, Deviation Band, or None
6. Safety Exit
Exits early if X consecutive bars go against the trade.
Longs: X red bars
Shorts: X green bars
Explanation of Strategy Inputs
- Stop Buffer: Distance from signal bar for stop-loss.
- Long/Short Exit Rule: VWAP, Deviation Band, or None
- Long/Short Target Deviation: Standard deviation for target exit.
- Enable Safety Exit: Toggle emergency exit.
- Opposing Bars: Number of opposing candles before safety exit.
- Allow Long/Short Trades: Enable or disable entry side.
- Show VWAP/Entry Bands: Toggle visual aids.
- Highlight Low Vol Zones: Orange shading for low volatility skips.
Tuning Tips
- Stop buffer: Use 1–5 points.
- Target deviation: Start with VWAP. In strong trends use 2nd deviation and turn off the counter-trend entry.
- Safety exit: 3 bars recommended.
- Disable short/long side to focus on one type of reversal.
Backtest Setup Suggestions
- initial_capital = 2000
- default_qty_value = 1 (fixed contracts or percent-of-equity)
Strategy Myth-Busting #11 - TrendMagic+SqzMom+CDV - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our 11th one is an automated version of the "Magic Trading Strategy : Most Profitable Indicator : 1 Minute Scalping Strategy Crypto" strategy from "Fx MENTOR US" who doesn't make any official claims but given the indicators he was using, it looked like on the surface that this might actually work. The strategy author uses this on the 1 minute and 3 minute timeframes on mostly FOREX and Heiken Ashi candles but as the title of his strategy indicates is designed for Crypto. So who knows..
To backtest this accurately and get a better picture we resolved the Heiken Ashi bars to standard candlesticks . Even so, I was unable to sustain any consistency in my results on either the 1 or 3 min time frames and both FOREX and Crypto. 10000% Busted.
This strategy uses a combination of 3 open-source public indicators:
Trend Magic by KivancOzbilgic
Squeeze Momentum by LazyBear
Cumulative Delta Volume by LonesomeTheBlue
Trend Magic consists of two main indicators to validate momentum and volatility. It uses an ATR like a trailing Stop to determine the overarching momentum and CCI as a means to validate volatility. Together these are used as the primary indicator in this strategy. When the CCI is above 0 this is confirmation of a volatility event is occurring with affirmation based upon current momentum (ATR).
The CCI volatility indicator gets confirmation by the the Cumulative Delta Volume indicator which calculates the difference between buying and selling pressure. Volume Delta is calculated by taking the difference of the volume that traded at the offer price and the volume that traded at the bid price. The more volume that is traded at the bid price, the more likely there is momentum in the market.
And lastly the Squeeze Momentum indicator which uses a combination of Bollinger Bands, Keltner Channels and Momentum are used to again confirm momentum and volatility. During periods of low volatility, Bollinger bands narrow and trade inside Keltner channels. They can only contract so much before it can’t contain the energy it’s been building. When the Bollinger bands come back out, it explodes higher. When we see the histogram bar exploding into green above 0 that is a clear confirmation of increased momentum and volatile. The opposite (red) below 0 is true when there are low periods. This indicator is used as a means to really determine when there is premium selling plays going on leading to big directional movements again confirming the positive or negative momentum and volatility direction.
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Trading Rules
1 - 3 min candles
FOREX or Crypto
Stop loss at swing high/low | 1.5 risk/ratio
Long Condition
Trend Magic line is Blue ( CCI is above 0) and above the current close on the bar
Squeeze Momentum's histogram bar is green/lime
Cumulative Delta Volume line is green
Short Condition
Trend Magic line is Red ( CCI is below 0) and below the current close on the bar
Squeeze Momentum's histogram bar is red/maroon
Cumulative Delta Volume line is peach
Сatching knivesThis strategy is based on the regression line and volume
The Linear Regression Channel is a three-line technical indicator that displays the high, low and midpoint of the current trend.
How does it work in strategy?
If there is a deviation by a given percentage, the entry occurs
//LOGIC ENTRY
-Length-сhannel length
-Deviation-deviation of the boundaries, the higher , the rarer the entries
-% low for regression-deviation directly from the boundaries, the higher the number, the less frequent the entries
-Required % down bar-additional condition for entry (the candle on which the entry takes place from the logic must necessarily fall by a given percentage)
-Volume-the volume, which must be larger by the number of times you specify ( you can set the volume lower, but for better entries, you need to set the deviation percentages higher!)
//EXIT SETTING
Take profit and stop loss when a certain percentage is reached
//SETTINGS NEXT ENTRY AND GRID
Allow signal lower than,% - the next entry into a trade from logic occurs only when a decrease by a certain percentage
Allow grid,% - when the price drops by the percentage specified in the settings, the entry will take place, but only on the next bar.
//DATA RANGE
-Testing results for any period of time
//
Default settings for infrequent but relatively accurate entries for TF 1 hour.
It costs pyramiding 5 and take profit 5%. Choose the flavors of your choice!
Good luck!
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps —
License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike).
This script is a non-commercial derivative work that credits the original author and keeps the same license.
What this strategy does
This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger.
Additions vs. the original indicator
✅ Strategy entries based on % mitigation into FVGs (long/short).
✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0.
✅ Per-FVG total volume filter (min/max) so you can skip weak boxes.
✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes.
✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG).
✅ Optional candle confirmation and cooldown between trades.
✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached).
✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN.
How a trade is decided (logic overview)
Detect FVGs (same rules as the original visual logic).
For each FVG currently intersected by the bar, compute:
Mitigation % (how deep price has entered the box).
Bull%/Bear% split (internal volume share).
Total volume (printed on the box) from LTF aggregation or fallback.
Age (bars) since the box was created.
Apply your filters:
Mitigation ≥ Long/Short threshold.
Volume between your min and max (if enabled).
Age ≥ min bars (if enabled).
Bull% / Bear% within your limits (if enabled).
(Optional) the current candle must be in trade direction (confirm).
If multiple FVGs qualify on the same bar, the strategy uses the most recent one.
Enter long/short (no pyramiding).
Exit with:
Fixed Stop Loss %, and
Trailing Stop that only starts after price reaches your profit trigger %.
Input settings (quick guide)
Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter.
Mitigation % thresholds: minimal mitigation for Long and Short.
TOTAL Volume filter: skip FVGs with too little/too much total volume (per box).
Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max).
Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes.
Confirm candle: require candle direction to match the trade.
Cooldown (bars): minimum bars between entries.
Risk:
Stop Loss % (fixed from entry price).
Activate trailing at +% profit (the trigger).
Trailing distance % (the trailing gap once active).
Lower-TF aggregation:
Auto: TF/Divisor → picks 1/3/5m automatically.
Fixed: choose 1/3/5/15m explicitly.
If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L.
Suggested starting presets (you should optimize per market)
Mitigation: 60–80% for both Long/Short.
Bull/Bear share:
Long: Bull% ≥ 50–70, Bear% ≤ 100.
Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer.
Age: ≥ 20–30 bars.
Volume: pick a min that filters noise for your symbol/timeframe.
Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example).
Set slippage/fees in Strategy Properties.
Notes, limitations & best practices
Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic).
Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects.
No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling.
Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly.
Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice.
Credits
Visual FVG concept and original implementation: BigBeluga.
This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit.
License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Crypto Trend Reactor
Crypto Trend Reactor
🔧 By Rob Groff
Crypto Trend Reactor is a precision-engineered crypto trading strategy designed to identify high-quality trades through a fusion of advanced non-repainting indicators. This system integrates adaptive trend detection, volatility compression analysis, and directional momentum confirmation to provide clear, rule-based entries and dynamic trade management.
📜 Disclaimer
This script is for informational and educational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Always conduct your own research and consult with a professional advisor before making trading decisions.
✅ System Overview
This strategy is built around a synergy of robust, market-tested indicators that function together to filter noise, enhance trend clarity, and improve execution timing.
✅ McGinley Dynamic (Baseline)
An adaptive moving average that adjusts to price velocity, offering smoother and more responsive trend detection than traditional EMAs. Used to establish the primary trend direction.
✅ TTM Squeeze + Momentum
Detects volatility compression using Bollinger Bands inside Keltner Channels. When momentum aligns with a squeeze release, it signals explosive breakout potential — perfect for crypto markets.
✅ Vortex Indicator (Directional Volatility Filter)
Measures positive and negative trend strength. It confirms whether momentum aligns with trend direction, reducing false signals and choppy conditions.
✅ White Line (Bias Filter)
A simplified market structure average (High/Low midpoint) that acts as a bias filter. Aligning entries with this structural midpoint ensures trades are taken in the path of least resistance.
✅ Tether Line Cloud (Support/Resistance Mapping)
Fast and slow tether lines form a dynamic support/resistance cloud. This visual reference confirms price structure and trend shifts in real-time.
✅ ATR-Based Dynamic Stop Loss
Trailing stops adapt to volatility using ATR (with wick consideration). This enables better protection against random spikes while giving trades room to breathe.
✅ Fixed Multi-Level Take Profits (TP1 & TP2)
Position-reducing take profit levels help secure gains while maintaining trade flexibility. After TP2 is hit, the strategy supports dynamic re-entry if the trend resumes.
✅ Advanced Features
✅ Fully non-repainting logic
✅ Dynamic re-entry support after TP2 or stop-out
✅ Separate take profit and stop loss logic for long and short trades
✅ Visual trade dashboard with live PnL, win rate, position info, and trend status
✅ TTM Squeeze dots shown as ✅ blue dots below/above bars
✅ Bar coloring and cloud fills based on real-time trend alignment
✅ Built-in date filter for backtest range control
✅ Recommended Use
Timeframe: Best optimized for the 1-hour chart, but effective on other timeframes with minor tuning
Market: Designed for crypto, but also functional in other volatile asset classes
Strategy Mode: Works best in trending environments. Avoids ranging conditions via Vortex filtering and multi-confirmation layers
✅ Best Practices
✅ Confirm entries only when all filters align (trend, bias, volatility, and momentum)
✅ Monitor the dashboard for live trade metrics and trend health
✅ Use the built-in stop and TP logic to automate exits
✅ Backtest with various parameter settings to fine-tune for specific coins or volatility profiles
This script represents the fusion of structure, momentum, trend, and volatility — delivering an edge-driven approach for serious crypto traders seeking consistent execution and high-probability setups.
Trend Hunter Scalping [Daddin Algo]Trend Hunter Scalping Strategy Description
This strategy is a comprehensive scalping system designed to capture high-frequency trading opportunities within short timeframes. It combines multiple technical indicators to assess trend direction, momentum, volatility, and volume dynamics. Importantly, all parameters are user-adjustable, allowing the strategy to be optimized for various market conditions and individual preferences.
Technical Indicators and Settings
EMA (Exponential Moving Average):
The EMA is calculated based on a user-defined period. Rather than being fixed (e.g., a 200-period EMA), the period is adjustable to suit different market conditions. The position of the price relative to the EMA helps confirm the overall trend.
RSI & RSIOver:
The Relative Strength Index (RSI) measures momentum and the speed of price changes. Entry signals are generated when the RSI crosses its moving average. Additionally, overbought and oversold thresholds (set by the user) add an extra layer of confirmation for the signals.
ADX:
The Average Directional Index (ADX) assesses the strength of the current trend. When the ADX is above a user-specified threshold, the signals are considered more reliable. This helps in filtering out signals during weak trending periods.
Bollinger Bands:
Bollinger Bands gauge market volatility. The settings—including the length and the multiplier—are adjustable, providing flexibility to accommodate tightening or expanding volatility conditions.
Parabolic SAR:
This indicator identifies dynamic support and resistance levels, confirming the trend direction and helping pinpoint potential entry and exit points.
Pivot Levels (Fibonacci):
Calculated from the previous period's high, low, and close, pivot points and Fibonacci levels indicate potential reversal points and serve as support and resistance levels. These levels provide context for setting trailing stops and managing risk.
Volume Filter:
A volume condition ensures that trading signals are only considered valid when the current volume exceeds a multiple of its short-term moving average. This filter is adjustable, helping to confirm the strength of the market move.
Daddin Line:
Derived from a short-term moving average of the closing prices with a user-defined offset, the Daddin Line acts as an additional confirmation tool. Its parameters can be customized to better align with specific trading environments.
Trading Logic and Management
Signal Direction and Entry:
The strategy can generate both long (buy) and short (sell) signals, or be limited to one direction based on user preference. Entry orders are executed when all the selected indicator conditions are met. Additionally, maximum consecutive trade limits are implemented to help control risk.
Exit & Take Profit:
Trades are exited automatically when a user-defined profit percentage is reached. This take-profit percentage is flexible, enabling adjustments to match different market conditions or trading goals.
Trailing Stop (Dynamic Stop Loss):
A trailing stop mechanism is implemented using Fibonacci pivot levels. Once a position is open, the stop loss is dynamically updated as the price moves favorably. This ensures that profits are protected while minimizing losses in case of a sudden reversal.
Additional Features and Backtesting
Time Filtering (Backtesting):
The strategy includes a date range filter for backtesting. Users can define the start and end dates to evaluate the strategy’s performance during specific market periods, making it easier to assess its historical effectiveness.
Customizable Parameters:
Every indicator and risk management setting is fully customizable. This adaptability allows traders to tailor the strategy to different assets, timeframes, and market environments, ensuring optimal performance across diverse trading scenarios.
Conclusion
The Trend Hunter Scalping strategy effectively integrates multiple technical indicators to validate trends and manage risks efficiently. Its highly flexible, user-adjustable parameters make it adaptable to varying market conditions, providing traders with a robust framework for capturing quick trading opportunities.This strategy is designed to optimize both entry and exit points while offering comprehensive risk management controls.
TSI Long/Short for BTC 2HThe TSI Long/Short for BTC 2H strategy is an advanced trend-following system designed specifically for trading Bitcoin (BTC) on a 2-hour timeframe. It leverages the True Strength Index (TSI) to identify momentum shifts and executes both long and short trades in response to dynamic market conditions.
Unlike traditional moving average-based strategies, this script uses a double-smoothed momentum calculation, enhancing signal accuracy and reducing noise. It incorporates automated position sizing, customizable leverage, and real-time performance tracking, ensuring a structured and adaptable trading approach.
🔹 What Makes This Strategy Unique?
Unlike simple crossover strategies or generic trend-following approaches, this system utilizes a customized True Strength Index (TSI) methodology that dynamically adjusts to market conditions.
🔸 True Strength Index (TSI) Filtering – The script refines the TSI by applying double exponential smoothing, filtering out weak signals and capturing high-confidence momentum shifts.
🔸 Adaptive Entry & Exit Logic – Instead of fixed thresholds, it compares the TSI value against a dynamically determined high/low range from the past 100 bars to confirm trade signals.
🔸 Leverage & Risk Optimization – Position sizing is dynamically adjusted based on account equity and leverage settings, ensuring controlled risk exposure.
🔸 Performance Monitoring System – A built-in performance tracking table allows traders to evaluate monthly and yearly results directly on the chart.
📊 Core Strategy Components
1️⃣ Momentum-Based Trade Execution
The strategy generates long and short trade signals based on the following conditions:
✅ Long Entry Condition – A buy signal is triggered when the TSI crosses above its 100-bar highest value (previously set), confirming bullish momentum.
✅ Short Entry Condition – A sell signal is generated when the TSI crosses below its 100-bar lowest value (previously set), indicating bearish pressure.
Each trade execution is fully automated, reducing emotional decision-making and improving trading discipline.
2️⃣ Position Sizing & Leverage Control
Risk management is a key focus of this strategy:
🔹 Dynamic Position Sizing – The script calculates position size based on:
Account Equity – Ensuring trade sizes adjust dynamically with capital fluctuations.
Leverage Multiplier – Allows traders to customize risk exposure via an adjustable leverage setting.
🔹 No Fixed Stop-Loss – The strategy relies on reversals to exit trades, meaning each position is closed when the opposite signal appears.
This design ensures maximum capital efficiency while adapting to market conditions in real time.
3️⃣ Performance Visualization & Tracking
Understanding historical performance is crucial for refining strategies. The script includes:
📌 Real-Time Trade Markers – Buy and sell signals are visually displayed on the chart for easy reference.
📌 Performance Metrics Table – Tracks monthly and yearly returns in percentage form, helping traders assess profitability over time.
📌 Trade History Visualization – Completed trades are displayed with color-coded boxes (green for long trades, red for short trades), visually representing profit/loss dynamics.
📢 Why Use This Strategy?
✔ Advanced Momentum Detection – Uses a double-smoothed TSI for more accurate trend signals.
✔ Fully Automated Trading – Removes emotional bias and enforces discipline.
✔ Customizable Risk Management – Adjust leverage and position sizing to suit your risk profile.
✔ Comprehensive Performance Tracking – Integrated reporting system provides clear insights into past trades.
This strategy is ideal for Bitcoin traders looking for a structured, high-probability system that adapts to both bullish and bearish trends on the 2-hour timeframe.
📌 How to Use: Simply add the script to your 2H BTC chart, configure your leverage settings, and let the system handle trade execution and tracking! 🚀
Williams %R StrategyThe Williams %R Strategy implemented in Pine Script™ is a trading system based on the Williams %R momentum oscillator. The Williams %R indicator, developed by Larry Williams in 1973, is designed to identify overbought and oversold conditions in a market, helping traders time their entries and exits effectively (Williams, 1979). This particular strategy aims to capitalize on short-term price reversals in the S&P 500 (SPY) by identifying extreme values in the Williams %R indicator and using them as trading signals.
Strategy Rules:
Entry Signal:
A long position is entered when the Williams %R value falls below -90, indicating an oversold condition. This threshold suggests that the market may be near a short-term bottom, and prices are likely to reverse or rebound in the short term (Murphy, 1999).
Exit Signal:
The long position is exited when:
The current close price is higher than the previous day’s high, or
The Williams %R indicator rises above -30, indicating that the market is no longer oversold and may be approaching an overbought condition (Wilder, 1978).
Technical Analysis and Rationale:
The Williams %R is a momentum oscillator that measures the level of the close relative to the high-low range over a specific period, providing insight into whether an asset is trading near its highs or lows. The indicator values range from -100 (most oversold) to 0 (most overbought). When the value falls below -90, it indicates an oversold condition where a reversal is likely (Achelis, 2000). This strategy uses this oversold threshold as a signal to initiate long positions, betting on mean reversion—an established principle in financial markets where prices tend to revert to their historical averages (Jegadeesh & Titman, 1993).
Optimization and Performance:
The strategy allows for an adjustable lookback period (between 2 and 25 days) to determine the range used in the Williams %R calculation. Empirical tests show that shorter lookback periods (e.g., 2 days) yield the most favorable outcomes, with profit factors exceeding 2. This finding aligns with studies suggesting that shorter timeframes can effectively capture short-term momentum reversals (Fama, 1970; Jegadeesh & Titman, 1993).
Scientific Context:
Mean Reversion Theory: The strategy’s core relies on mean reversion, which suggests that prices fluctuate around a mean or average value. Research shows that such strategies, particularly those using oscillators like Williams %R, can exploit these temporary deviations (Poterba & Summers, 1988).
Behavioral Finance: The overbought and oversold conditions identified by Williams %R align with psychological factors influencing trading behavior, such as herding and panic selling, which often create opportunities for price reversals (Shiller, 2003).
Conclusion:
This Williams %R-based strategy utilizes a well-established momentum oscillator to time entries and exits in the S&P 500. By targeting extreme oversold conditions and exiting when these conditions revert or exceed historical ranges, the strategy aims to capture short-term gains. Scientific evidence supports the effectiveness of short-term mean reversion strategies, particularly when using indicators sensitive to momentum shifts.
References:
Achelis, S. B. (2000). Technical Analysis from A to Z. McGraw Hill.
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383-417.
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65-91.
Murphy, J. J. (1999). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York Institute of Finance.
Poterba, J. M., & Summers, L. H. (1988). Mean Reversion in Stock Prices: Evidence and Implications. Journal of Financial Economics, 22(1), 27-59.
Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance. Journal of Economic Perspectives, 17(1), 83-104.
Williams, L. (1979). How I Made One Million Dollars… Last Year… Trading Commodities. Windsor Books.
Wilder, J. W. (1978). New Concepts in Technical Trading Systems. Trend Research.
This explanation provides a scientific and evidence-based perspective on the Williams %R trading strategy, aligning it with fundamental principles in technical analysis and behavioral finance.
Zero-lag TEMA Crosses Strategy[Pakun]Here's the adjusted strategy description in English, aligned with the house rules:
---
### Strategy Name: Zero-lag TEMA Cross Strategy
**Purpose:** This strategy aims to identify entry and exit points in the market using Zero-lag Triple Exponential Moving Averages (TEMA). It focuses on minimizing lag and improving the accuracy of trend-following signals.
### Uniqueness and Usefulness
**Uniqueness:** This strategy employs the less commonly used Zero-lag TEMA, compared to standard moving averages. This unique approach reduces lag and provides more timely signals.
**Usefulness:** This strategy is valuable for traders looking to capture trend reversals or continuations with reduced lag. It has the potential to enhance the profitability and accuracy of trades.
### Entry Conditions
**Long Entry:**
- **Condition:** A crossover occurs where the short-term Zero-lag TEMA surpasses the long-term Zero-lag TEMA.
- **Signal:** A buy signal is generated, indicating a potential uptrend.
**Short Entry:**
- **Condition:** A crossunder occurs where the short-term Zero-lag TEMA falls below the long-term Zero-lag TEMA.
- **Signal:** A sell signal is generated, indicating a potential downtrend.
### Exit Conditions
**Exit Strategy:**
- **Stop Loss:** Positions are closed if the price moves against the trade and hits the predefined stop loss level. The stop loss is set based on recent highs/lows.
- **Take Profit:** Positions are closed when the price reaches the profit target. The profit target is calculated as 1.5 times the distance between the entry price and the stop loss level.
### Risk Management
**Risk Management Rules:**
- This strategy incorporates a dynamic stop loss mechanism based on recent highs/lows over a specified period.
- The take profit level ensures a reward-to-risk ratio of 1.5 times the stop loss distance.
- These measures aim to manage risk and protect capital.
**Account Size:** ¥500,000
**Commissions and Slippage:** 94 pips per trade and 1 pip slippage
**Risk per Trade:** 1% of account equity
### Configurable Options
**Configurable Options:**
- Lookback Period: The number of bars to calculate recent highs/lows.
- Fast Period: Length of the short-term Zero-lag TEMA (69).
- Slow Period: Length of the long-term Zero-lag TEMA (130).
- Signal Display: Option to display buy/sell signals on the chart.
- Bar Color: Option to change bar colors based on trend direction.
### Adequate Sample Size
**Sample Size Justification:**
- To ensure the robustness and reliability of the strategy, it should be tested with a sufficiently long period of historical data.
- It is recommended to backtest across multiple market cycles to adapt to different market conditions.
- This strategy was backtested using 10 days of historical data, including 184 trades.
### Notes
**Additional Considerations:**
- This strategy is designed for educational purposes and should be thoroughly tested in a demo environment before live trading.
- Settings should be adjusted based on the asset being traded and current market conditions.
### Credits
**Acknowledgments:**
- The concept and implementation of Zero-lag TEMA are based on contributions from technical analysts and the trading community.
- Special thanks to John Doe for the TEMA concept.
- Thanks to Zero-lag TEMA Crosses .
- This strategy has been enhanced by adding new filtering algorithms and risk management rules to the original TEMA code.
### Clean Chart Description
**Chart Appearance:**
- This strategy provides a clean and informative chart by plotting Zero-lag TEMA lines and optional entry/exit signals.
- The display of signals and color bars can be toggled to declutter the chart, improving readability and analysis.
