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[Crypto] Autotrade 2.3* Commission: 0.06% = Binance future fee. 1. HIGH/LOW PIVOT: - Pivot Left: 10 - Pivot Right: 10 Long trend identification: - Higher High occurs after Higher Low. Short trend identification: - Lower Low occurs after Lower High. 2. ADX INDICATOR: 1h & 4h timeframe have a strong strength for open trade. - ADX smoothing: 14. - DI length: 14. - ADX STRONG > 25. 3. SUPERTREND INDICATOR: - Long trend when closes candle is above the green line. - Short trend when closes candle is below the red line. 4. OPEN POSITION RULE: - BUY/LONG: reject to Supertrend at current timeframe. - SELL/SHORT: reject to Supertrend at current timeframe. 5. AUTOTRADE BINANCE FUTURE WITH MONEY MANAGERMENT: requires Pro, Pro +, Premium Tradingview & Webhook service. 6. BACKTEST RESULT: - Deep backtest: 08 OCT 2010 - 3 JUL 2022: - Backtest 129 Binance Future pairs: 78 pairs with winrate > 52% | 51 pairs with winrate < 52%
Strategi Pine Script®
oleh dinhchien
2
SuperIchi StrategyTRADE CONDITIONS Long entry: Tenkan-Sen is above Kijun-Sen (blue line above red line) Price closes above both Tenkan-Sen and Kijun-Sen (price closes above both blue and red lines) Tenkan-Sen and Kijun-Sen is above Senkou Span (both blue and red lines are above cloud) Senkou Span is green (cloud is green) Price pulled back and closed below both Tenkan-Sen and Kijun-Sen within last X (configurable in settings) candles (price pulled back below blue and red lines) Short entry: Tenkan-Sen is below Kijun-Sen (blue line below red line) Price closes below both Tenkan-Sen and Kijun-Sen (price closes below both blue and red lines) Tenkan-Sen and Kijun-Sen is below Senkou Span (both blue and red lines are below cloud) Senkou Span is red (cloud is red) Price pulled back and closed above both Tenkan-Sen and Kijun-Sen within last X (configurable in settings) candles (price pulled back above blue and red lines) Risk management: Each trade risks 2% of account (configurable in settings) SL size determined by swing low/high of previous X candles (configurable in settings) or using the ATR override (configurable in settings) where the max of swing high/low or ATR value will be used to calculate SL TP is calculated by Risk:Reward ratio (configurable in settings) TIPS Timeframe: I have found best results running on anything 5M and above CREDITS SuperIchi by LuxAlgo
Strategi Pine Script®
oleh kevinmck100
9
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
Strategi Pine Script®
oleh EbbNFlo_Trading
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}}
Strategi Pine Script®
oleh Trading_Nerd
7
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. ===================================================================================================================
Strategi Pine Script®
oleh TradeChartist
17
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.
Strategi Pine Script®
oleh HPotter
1
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.
Strategi Pine Script®
oleh RandEvolution
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.
Strategi Pine Script®
oleh HPotter
3
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.
Strategi Pine Script®
oleh HammondB3
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.
Strategi Pine Script®
oleh SeaSide420
35
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.
Strategi Pine Script®
oleh robertgroff72
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)
Strategi Pine Script®
oleh Agedvagabond
2
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
Strategi Pine Script®
oleh myncrypto
1
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!
Strategi Pine Script®
oleh graal_tut
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.
Strategi Pine Script®
oleh robertgroff72
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.
Strategi Pine Script®
oleh DaddinAlgo
7
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! 🚀
Strategi Pine Script®
oleh PineIndicators
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.
Strategi Pine Script®
oleh EdgeTools
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.
Strategi Pine Script®
oleh PakunFX
Pullback_Power [JackTz]Welcome to Pullback_Power Pullback_Power is a scalping strategy designed to capitalize on market retracements while incorporating unique dynamic features to enhance profitability. Calculation Pullback_Power purely uses moving averages to calculate both entry and exits. Exits can also be set to fixed percentages for both take profit and stop loss. How the Strategy Works Statistics show that markets normally do a recovery after each drop. Crypto markets can easily drop up to 20% within a few hours and then do a complete or partial recovery. Pullback_Power utilizes this known pattern alongside pyramiding. The strategy aims to catch one or more entries when the price drops, hoping to make profits when the market recovers from the drop. The fixed take profit and stop loss can be used to define your risk management, while the dynamic exit opportunity is riskier but provides the ability to stay in the trade longer while it recovers. Pullback_Power can make up to four entries. This means it utilizes pyramiding to spread out the entry points, but every exit is a full exit. It is not possible to partially exit. Utility Pullback_Power is a scalping strategy suitable for traders who operate with small trades and don't want to stay in the market for too long. Pullback_Power offers precise signals with no repainting. The strategy thrives in volatility, so crypto pairs might yield the best results, although this strategy can be adapted to work on all pairs and markets. How to Automate It Pullback_Power utilizes the standard placeholders of strategies on TradingView. This enables the trader to add every data point into a webhook, making it fully flexible to suit every trader's needs. To automate, create an alert, set the webhook URL, and add the JSON body needed for the webhook. An example of a simple JSON webhook with some of the standard strategy placeholders: { "side": "{{strategy.order.action}}", "symbol": "{{ticker}}", "amount": "{{strategy.order.contracts}}" } Read about all the standard placeholders that you can use here: TradingView - Standard strategy placeholders Originality Pullback_Power is unique in its ability to create precise signals without repainting while maintaining a solid approach to the pullback strategy. Its simplicity not only makes the strategy easy to use and understand but also highly effective. The simplicity reduces inputs, eliminating overfitting and limits each input to avoid incorrect usage. Many times, default settings are enough to achieve good backtesting results on almost all pairs available. Pullback_Power also differs from many other strategies by its solid code, which enhances performance and provides more reliable backtesting. The clean code increases the resilience and precision of the entries, making it less prone to errors. Many pullback/scalping strategies normally only works on specific scopes of timeframes or pairs. Pullback_Power can easily be adapted to work on almost every scenario. The biggest change needed is the length of the moving average. The lower the timeframe, the higher a length is needed for proper results. I.e. on a 2H timeframe a length of 3 can yield good results. On a 5min timeframe the length might need to be as high as 70. How to Use To use Pullback_Power, add the script to your trading chart. By default, Pullback_Power opens four orders to optimize trade opportunities with a default fee value set at 0.1%. You can change these default settings in the Settings window under the Properties tab. To tailor Pullback_Power to your individual trading style, navigate to the Settings under the Input tab. Here you can configure various inputs to fit your trading style. - Backtest settings , Start Date: Defines the date of when the calculation starts. Use this to set the date of when the first trade could potentially emit. - Backtest settings , End Date: Defines the date of when the calculation ends. If there are any open trades after this date the close calculations are still live. It only makes sure that new orders cannot be opened after this date. - Backtest settings , Only trade on weekdays: This is a toggle you can enable or disable. If enabled it only allows new entries to happen during the normal week days, meaning Monday, Tuesday, Wednesday, Thursday and Friday. Disable this to enable the script to open trades on all 7 days of the week. - Open settings , Use dynamic long positions: This toggle allows you to enable or disable the pullback level calculations after first trade. If enabled, the calculations of level 2, 3 and 4 continues to happen after each bar, making the levels follow the price with the moving averages calculations. If disabled, the calculations of the levels stop after the first trade. This means that the levels calculation at the point of the first trade stay fixed until all trades are closed. You can see the difference of the green lines on the chart when you toggle this flag. - Open settings , Data type: This is the bar data used for the moving average calculation when opening trades. The possible data types are Open, High, Low, Close, HL2, HLC3, OHLC4, OC2 and HC2. - Open settings , Source type: This is the source used to calculate the moving average. The types available are: SMA, PCMA, EMA, WMA, DEMA, ZLEMA and HMA. - Open settings , Length: This is the length used for the moving average calculations. 3 means it takes the last 3 bars of historical data for the calculation. - Open settings , Offset: This defines if the calculation should use an offset for the historical data. This does not use a look-forward feature, but a look-backward feature. To prevent any possible repaints the offset can only be positive, not negative. For instance, if the length is 3 and the offset is 0 the calculation is made from the last 3 bars, making it bar1, bar2 and bar3. If the length is 3 and the offset is 1 the calculation is made from bar2, bar3, and bar4 – offsetting the calculation by 1 bar. - Leverage settings , Leverage liquidation (1-125): The script itself does not handle any custom leverage calculation – this must be done in the Properties tabs and increasing the order size. This setting is made to test a possible liquidation event if using leverage. By setting this to higher than 1, a red line is visible after the first trade on the chart. This indicates the liquidation price. If this setting is set to 25, the script will calculate the liquidation price from a x25 leverage. If this price is hit, the scripts stops emitting any orders and the background turns red. You can use this to test if your settings could handle a certain level of leverage. - Pullback settings , Pullback 1, 2, 3 and 4: Each of these settings defines the entry price of each pullback level. If Pullback 1 is set to -6 it means that the moving average calculation should be 6% lower than the actual price. The same logic applies to Pullback 2, 3 and 4. Setting any level to 0 will disable the level – eliminating any orders to emit on that level. This can be used to change the level of pyramiding down from 4 if needed. If you do this, remember to also change the order size and the pyramiding value in the Properties tab accordingly. - Close settings , Use dynamic TP and SL: If enabled, script will exit all orders using the same but separate algorithm for moving averages. This enables the user to define if you want the orders to be closed if the price level of this moving average is hit. The price level for this calculation is visible on the chart by the blue line. Although you can change the length and offset, as described underneath, this calculation uses the same data and source type defined in the Open settings area. - Close settings , Length, Close: This is the length used for the closing moving average calculations. 3 means it takes the last 3 bars of historical data for the calculation. - Close settings , Offset, Close: This defines if the calculation for the closing moving average should use an offset for the historical data. Just as the offset used for opening order, this does not use a look-forward feature, but a look-backward feature. To prevent any possible repaints the offset can only be positive, not negative. For instance, if the length is 3 and the offset is 0 the calculation is made from the last 3 bars, making it bar1, bar2 and bar3. If the length is 3 and the offset is 1 the calculation is made from bar2, bar3, and bar4 – offsetting the calculation by 1 bar. - Close settings , Use TakeProfit: This toggle enables/disables a fixed take profit percentage. - Close settings , TP %: This sets the wanted % to reach on a take profit. This setting is ignored if the toggle above is disabled. - Close settings , Use StopLoss: This toggle enables/disables a fixed stop loss percentage. - Close settings , SL %: This sets the wanted % to reach on a stop loss. This setting is ignored if the toggle above is disabled. Exit on Same Bar as Entry By default, the script doesn't emit any exit orders on the same bar as the first entry order. Enable "Recalculation: After order is filled" to change this behavior. Troubleshooting While Pullback_Power is designed to provide reliable trading signals, you may encounter rare issues. One such issue could be receiving an error message stating "can't open orders with 0 or negative qty." If you encounter this error, it is likely due to specific conditions on the selected timeframe. To resolve this issue, change the timeframe on your trading chart. Underlying Principles and Value Proposition Pullback_Power leverages moving averages and volatility behavior to identify market retracements and capitalize on them. The strategy is rooted in the understanding that markets often experience temporary reversals or "pullbacks" before resuming their primary trend. By identifying these pullbacks and entering trades at opportune moments, Pullback_Power aims to capture quick profits from short-term market movements. The dynamic and fixed calculations of Take Profit (TP) and Stop Loss (SL) levels enhances risk management, ensuring that potential losses are controlled while allowing room for profits to grow. The adaptive approach using the moving averages considers current market conditions, making the strategy flexible and responsive to changing volatility. Moreover, Pullback_Power's non-repainting nature ensures the reliability of its signals, eliminating hindsight bias and providing traders with actionable insights based on real-time market data. The strategy's simplicity and effectiveness make it accessible for traders of all experience levels. Whether you're a beginner looking to start scalping or an experienced trader seeking to diversify your trading approach, Pullback_Power offers a balanced blend of simplicity and sophistication to help you navigate the markets with confidence. By focusing on clear, transparent principles and offering practical tools for risk management, Pullback_Power aims to provide tangible value to traders, empowering them to make informed decisions and optimize their trading outcomes. Thank you for choosing Pullback_Power. I wish you successful trading!
Strategi Pine Script®
oleh JackTz