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ameer hamza indicator//@version=5 strategy("Simplified EMA + RSI Strategy", overlay=true) // Input settings emaShort = input.int(10, title="Short EMA Length", minval=1) emaLong = input.int(30, title="Long EMA Length", minval=1) rsiLength = input.int(14, title="RSI Length") rsiOverbought = input.int(70, title="RSI Overbought Level", minval=50, maxval=100) rsiOversold = input.int(30, title="RSI Oversold Level", minval=0, maxval=50) stopLossPct = input.float(1.0, title="Stop Loss Percentage") / 100 takeProfitPct = input.float(2.0, title="Take Profit Percentage") / 100 // Indicators emaShortLine = ta.ema(close, emaShort) emaLongLine = ta.ema(close, emaLong) rsi = ta.rsi(close, rsiLength) // Plot EMA lines plot(emaShortLine, color=color.blue, title="Short EMA") plot(emaLongLine, color=color.red, title="Long EMA") hline(rsiOverbought, "RSI Overbought", color=color.orange) hline(rsiOversold, "RSI Oversold", color=color.green) // Buy and Sell Conditions longCondition = crossover(emaShortLine, emaLongLine) and rsi < rsiOverbought shortCondition = crossunder(emaShortLine, emaLongLine) and rsi > rsiOversold // Debugging if (longCondition) label.new(bar_index, high, "Long Entry", color=color.green, textcolor=color.white) if (shortCondition) label.new(bar_index, low, "Short Entry", color=color.red, textcolor=color.white) // Entry Signals if (longCondition) strategy.entry("Long", strategy.long) if (shortCondition) strategy.entry("Short", strategy.short) // Stop Loss and Take Profit longStopLoss = strategy.position_avg_price * (1 - stopLossPct) longTakeProfit = strategy.position_avg_price * (1 + takeProfitPct) shortStopLoss = strategy.position_avg_price * (1 + stopLossPct) shortTakeProfit = strategy.position_avg_price * (1 - takeProfitPct) if (strategy.position_size > 0) strategy.exit("Exit Long", stop=longStopLoss, limit=longTakeProfit) if (strategy.position_size < 0) strategy.exit("Exit Short", stop=shortStopLoss, limit=shortTakeProfit)
Pine Script™ strategy
by importantDeale28573
Double Bottom Breakout Strategy with Partial Take ProfitsThis strategy is a Double Bottom Breakout Strategy with Partial Take Profits designed to identify breakout opportunities on BTC using the 15-minute, 30-minute, and 1-hour time frames. It leverages the double bottom pattern to trigger entries and uses a multi-target exit strategy to manage trades. Key features of this strategy include: Identification of the double bottom pattern using price action and lows. Calculation of a neckline level, which acts as a breakout trigger. Multiple take profit targets (target1, target2, target3) based on the neckline and the low of the first bottom. Stop loss set based on a retracement level, ensuring risk management is in place. This strategy is ideal for BTC traders looking to take advantage of short-term reversals and breakouts with a structured approach to managing both entry and exit points. USE: BTC 15MIN/30MIN/1H ---------------------------------------------- 该策略是一种具有部分获利的双底突破策略，旨在利用15分钟、30分钟和1小时的时间框架识别BTC上的突破机会。它利用双底模式来触发进入，并使用多目标退出策略来管理交易。 该战略的主要特征包括： 使用价格走势和低点识别双底模式。 计算领口水平，作为突破触发器。 基于领口和第一个底部的低点的多个止盈目标（目标1、目标2、目标3）。 根据回撤水平设置停止损失，确保风险管理到位。 对于希望利用短期逆转和突破的BTC交易员来说，该策略非常理想，并采用结构化的方法来管理进入点和退出点。
Pine Script™ strategy
by tgppysa5777
1
Long-Term Pivot and Golden Crossover Strategy//@version=5 strategy("Long-Term Pivot and Golden Crossover Strategy", overlay=true) // Input for moving averages shortTerm = input.int(100, title="Short-term SMA Period") // 100-period SMA longTerm = input.int(200, title="Long-term SMA Period") // 200-period SMA // Calculate moving averages sma100 = ta.sma(close, shortTerm) sma200 = ta.sma(close, longTerm) // Golden crossover: when short-term SMA crosses above long-term SMA goldenCrossover = ta.crossover(sma100, sma200) // Calculate daily pivot points (traditional formula) pivot = (high + low + close) / 3 support1 = pivot - (high - low) resistance1 = pivot + (high - low) support2 = pivot - 2 * (high - low) resistance2 = pivot + 2 * (high - low) // Plot SMAs and pivot points on the chart plot(sma100, color=color.blue, title="100-period SMA", linewidth=2) plot(sma200, color=color.red, title="200-period SMA", linewidth=2) plot(pivot, color=color.purple, title="Pivot Point", linewidth=2) plot(support1, color=color.green, title="Support 1", linewidth=1) plot(resistance1, color=color.green, title="Resistance 1", linewidth=1) plot(support2, color=color.green, title="Support 2", linewidth=1) plot(resistance2, color=color.green, title="Resistance 2", linewidth=1) // Entry Condition: Golden crossover with price above the pivot point longCondition = goldenCrossover and close > pivot // Exit Condition: You can use a stop-loss and take-profit, or a bearish crossover stopLossPercent = input.float(3, title="Stop Loss (%)") / 100 // Wider stop loss for long-term trades takeProfitPercent = input.float(10, title="Take Profit (%)") / 100 // Higher take profit for long-term trades // Calculate stop-loss and take-profit prices longStopLoss = close * (1 - stopLossPercent) longTakeProfit = close * (1 + takeProfitPercent) // Execute strategy if (longCondition) strategy.entry("Long", strategy.long, stop=longStopLoss, limit=longTakeProfit) // Optional: Exit strategy based on a bearish crossover exitCondition = ta.crossunder(sma100, sma200) if (exitCondition) strategy.close("Long") // Strategy exit with custom stop loss and take profit strategy.exit("Take Profit/Stop Loss", from_entry="Long", stop=longStopLoss, limit=longTakeProfit)
Pine Script™ strategy
by prashanthmandati28
SMC StrategyThis Pine Script strategy is based on Smart Money Concepts (SMC), designed for TradingView. Here's a brief summary of what the script does: 1. Swing High and Low Calculation: It identifies recent swing highs and lows, which are used to define key zones. 2. Equilibrium, Premium, and Discount Zones: - Equilibrium is the midpoint between the swing high and low. - Premium Zone is above the equilibrium, indicating a potential resistance area (sell zone). - Discount Zone is below the equilibrium, indicating a potential support area (buy zone). 3. Simple Moving Average (SMA): It uses a 50-period SMA to determine the trend direction. If the price is above the SMA, the trend is bullish; if it's below, the trend is bearish. 4. Buy and Sell Signals: - Buy Signal: Generated when the price is in the discount zone and above the equilibrium, with the price also above the SMA. - Sell Signal: Triggered when the price is in the premium zone and below the equilibrium, with the price also below the SMA. 5. Order Blocks: It detects basic order blocks by identifying the highest high and lowest low within the last 20 bars. These levels help confirm the buy and sell signals. 6. Liquidity Zones: It marks the swing high and low as potential liquidity zones, indicating where price may reverse due to institutional players' activity. The strategy then executes trades based on these signals, plotting buy and sell markers on the chart and showing the key levels (zones) and trend direction.
Pine Script™ strategy
by danieltbolsch
US 30 Daily Breakout Strategy The US 30 Daily Breakout Strategy (Single Trade Per Breakout/Breakdown) is a trading approach for the US 30 (Dow Jones Industrial Average) that aims to capture breakout or breakdown moves based on the previous day’s high and low levels. The strategy includes mechanisms to take only one trade per breakout (or breakdown) each day and ensures that each trade is executed only when no other trade is open. Entry Conditions: Long Trade (Breakout): The strategy initiates a long position if the current candle closes above the previous day's high, indicating an upward breakout. Only one breakout trade can occur per day, regardless of whether the price remains above the previous high. Short Trade (Breakdown): The strategy initiates a short position if the current candle closes below the previous day's low, indicating a downward breakdown. Similarly, only one breakdown trade can occur per day. Risk Management: Take Profit and Stop Loss: Each trade has a take profit and stop loss of 50 points, aiming to cap profit and limit loss effectively for each position. Daily Reset Mechanism: At the start of each new day (based on New York time), the strategy resets its flags, allowing it to look for new breakout or breakdown trades. This reset ensures that only one trade can be taken per breakout or breakdown level each day. Execution Logic Flags for Trade Limitation: Flags (breakout_traded and breakdown_traded) are used to ensure only one breakout or breakdown trade is taken per day. These flags reset daily. Dynamic Plotting: The previous day’s high and low are plotted on the chart, providing a visual reference for potential breakout or breakdown levels. Overall Objective This strategy is designed to capture single-directional daily moves by identifying significant breakouts or breakdowns beyond the previous day’s range. The fixed profit and loss limits ensure the trades are managed with controlled risk, while the daily reset feature prevents overtrading and limits each trade opportunity to one breakout and one breakdown attempt per day.
Pine Script™ strategy
by yavanmahur
Bullish B's - RSI Divergence StrategyThis indicator strategy is an RSI (Relative Strength Index) divergence trading tool designed to identify high-probability entry and exit points based on trend shifts. It utilizes both regular and hidden RSI divergence patterns to spot potential reversals, with signals for both bullish and bearish conditions. Key Features Divergence Detection: Bullish Divergence: Signals when RSI indicates momentum strengthening at a lower price level, suggesting a reversal to the upside. Bearish Divergence: Signals when RSI shows weakening momentum at a higher price level, indicating a potential downside reversal. Hidden Divergences: Looks for hidden bullish and bearish divergences, which signal trend continuation points where price action aligns with the prevailing trend. Volume-Adjusted Entry Signals: The strategy enters long trades when RSI shows bullish or hidden bullish divergence, indicating an upward momentum shift. An optional volume filter ensures that only high-volume, high-conviction trades trigger a signal. Exit Signals: Exits long positions when RSI reaches a customizable overbought level, typically indicating a potential reversal or profit-taking opportunity. Also closes positions if bearish divergence signals appear after a bullish setup, providing protection against trend reversals. Trailing Stop-Loss: Uses a trailing stop mechanism based on ATR (Average True Range) or a percentage threshold to lock in profits as the price moves in favor of the trade. Alerts and Custom Notifications: Integrated with TradingView alerts to notify the user when entry and exit conditions are met, supporting timely decision-making without constant monitoring. Customizable Parameters: Users can adjust the RSI period, pivot lookback range, overbought level, trailing stop type (ATR or percentage), and divergence range to fit their trading style. Ideal Usage This strategy is well-suited for trend traders and swing traders looking to capture reversals and trend continuations on medium to long timeframes. The divergence signals, paired with trailing stops and volume validation, make it adaptable for multiple asset classes, including stocks, forex, and crypto. Summary With its focus on RSI divergence, trailing stop-loss management, and volume filtering, this strategy aims to identify and capture trend changes with minimized risk. This allows traders to efficiently capture profitable moves and manage open positions with precision. This Strategy BEST works with GLD!
Pine Script™ strategy
by YawnDee
1
Monday Open StrategyYear Range Inputs: start_year and end_year allow you to define the range of years in which the strategy will execute. You can adjust these values in the script’s settings panel in TradingView. Entry Condition: The strategy checks that the current year falls within the specified range before entering a trade on Monday’s open. Exit Condition: Similarly, it only exits on Tuesday’s close if the current year is within the specified range. This setup ensures that trades only take place between the defined years, effectively filtering out unwanted trades outside this timeframe.
Pine Script™ strategy
by galaxy4076
ICT Master Suite [Trading IQ]Hello Traders! We’re excited to introduce the ICT Master Suite by TradingIQ, a new tool designed to bring together several ICT concepts and strategies in one place. The Purpose Behind the ICT Master Suite There are a few challenges traders often face when using ICT-related indicators: Many available indicators focus on one or two ICT methods, which can limit traders who apply a broader range of ICT related techniques on their charts. There aren't many indicators for ICT strategy models, and we couldn't find ICT indicators that allow for testing the strategy models and setting alerts. Many ICT related concepts exist in the public domain as indicators, not strategies! This makes it difficult to verify that the ICT concept has some utility in the market you're trading and if it's worth trading - it's difficult to know if it's working! Some users might not have enough chart space to apply numerous ICT related indicators, which can be restrictive for those wanting to use multiple ICT techniques simultaneously. The ICT Master Suite is designed to offer a comprehensive option for traders who want to apply a variety of ICT methods. By combining several ICT techniques and strategy models into one indicator, it helps users maximize their chart space while accessing multiple tools in a single slot. Additionally, the ICT Master Suite was developed as a strategy . This means users can backtest various ICT strategy models - including deep backtesting. A primary goal of this indicator is to let traders decide for themselves what markets to trade ICT concepts in and give them the capability to figure out if the strategy models are worth trading! What Makes the ICT Master Suite Different There are many ICT-related indicators available on TradingView, each offering valuable insights. What the ICT Master Suite aims to do is bring together a wider selection of these techniques into one tool. This includes both key ICT methods and strategy models, allowing traders to test and activate strategies all within one indicator. Features The ICT Master Suite offers: Multiple ICT strategy models, including the 2022 Strategy Model and Unicorn Model, which can be built, tested, and used for live trading. Calculation and display of key price areas like Breaker Blocks, Rejection Blocks, Order Blocks, Fair Value Gaps, Equal Levels, and more. The ability to set alerts based on these ICT strategies and key price areas. A comprehensive, yet practical, all-inclusive ICT indicator for traders. Customizable Timeframe - Calculate ICT concepts on off-chart timeframes Unicorn Strategy Model 2022 Strategy Model Liquidity Raid Strategy Model OTE (Optimal Trade Entry) Strategy Model Silver Bullet Strategy Model Order blocks Breaker blocks Rejection blocks FVG Strong highs and lows Displacements Liquidity sweeps Power of 3 ICT Macros HTF previous bar high and low Break of Structure indications Market Structure Shift indications Equal highs and lows Swings highs and swing lows Fibonacci TPs and SLs Swing level TPs and SLs Previous day high and low TPs and SLs And much more! An ongoing project! How To Use Many traders will already be familiar with the ICT related concepts listed above, and will find using the ICT Master Suite quite intuitive! Despite this, let's go over the features of the tool in-depth and how to use the tool! The image above shows the ICT Master Suite with almost all techniques activated. ICT 2022 Strategy Model The ICT Master suite provides the ability to test, set alerts for, and live trade the ICT 2022 Strategy Model. The image above shows an example of a long position being entered following a complete setup for the 2022 ICT model. A liquidity sweep occurs prior to an upside breakout. During the upside breakout the model looks for the FVG that is nearest 50% of the setup range. A limit order is placed at this FVG for entry. The target entry percentage for the range is customizable in the settings. For instance, you can select to enter at an FVG nearest 33% of the range, 20%, 66%, etc. The profit target for the model generally uses the highest high of the range (100%) for longs and the lowest low of the range (100%) for shorts. Stop losses are generally set at 0% of the range. The image above shows the short model in action! Whether you decide to follow the 2022 model diligently or not, you can still set alerts when the entry condition is met. ICT Unicorn Model The image above shows an example of a long position being entered following a complete setup for the ICT Unicorn model. A lower swing low followed by a higher swing high precedes the overlap of an FVG and breaker block formed during the sequence. During the upside breakout the model looks for an FVG and breaker block that formed during the sequence and overlap each other. A limit order is placed at the nearest overlap point to current price. The profit target for this example trade is set at the swing high and the stop loss at the swing low. However, both the profit target and stop loss for this model are configurable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 For Longs, the selectable stop losses are: Swing Low Bottom of FVG or breaker block The image above shows the short version of the Unicorn Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 For Shorts, the selectable stop losses are: Swing High Top of FVG or breaker block The image above shows the profit target and stop loss options in the settings for the Unicorn Model. Optimal Trade Entry (OTE) Model The image above shows an example of a long position being entered following a complete setup for the OTE model. Price retraces either 0.62, 0.705, or 0.79 of an upside move and a trade is entered. The profit target for this example trade is set at the -0.5 fib level. This is also adjustable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 The image above shows the short version of the OTE Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 Liquidity Raid Model The image above shows an example of a long position being entered following a complete setup for the Liquidity Raid Modell. The user must define the session in the settings (for this example it is 13:30-16:00 NY time). During the session, the indicator will calculate the session high and session low. Following a “raid” of either the session high or session low (after the session has completed) the script will look for an entry at a recently formed breaker block. If the session high is raided the script will look for short entries at a bearish breaker block. If the session low is raided the script will look for long entries at a bullish breaker block. For Longs, the profit target options are: Swing high User inputted Lib level For Longs, the stop loss options are: Swing low User inputted Lib level Breaker block bottom The image above shows the short version of the Liquidity Raid Model in action! For Shorts, the profit target options are: Swing Low User inputted Lib level For Shorts, the stop loss options are: Swing High User inputted Lib level Breaker block top Silver Bullet Model The image above shows an example of a long position being entered following a complete setup for the Silver Bullet Modell. During the session, the indicator will determine the higher timeframe bias. If the higher timeframe bias is bullish the strategy will look to enter long at an FVG that forms during the session. If the higher timeframe bias is bearish the indicator will look to enter short at an FVG that forms during the session. For Longs, the profit target options are: Nearest Swing High Above Entry Previous Day High For Longs, the stop loss options are: Nearest Swing Low Previous Day Low The image above shows the short version of the Silver Bullet Model in action! For Shorts, the profit target options are: Nearest Swing Low Below Entry Previous Day Low For Shorts, the stop loss options are: Nearest Swing High Previous Day High Order blocks The image above shows indicator identifying and labeling order blocks. The color of the order blocks, and how many should be shown, are configurable in the settings! Breaker Blocks The image above shows indicator identifying and labeling order blocks. The color of the breaker blocks, and how many should be shown, are configurable in the settings! Rejection Blocks The image above shows indicator identifying and labeling rejection blocks. The color of the rejection blocks, and how many should be shown, are configurable in the settings! Fair Value Gaps The image above shows indicator identifying and labeling fair value gaps. The color of the fair value gaps, and how many should be shown, are configurable in the settings! Additionally, you can select to only show fair values gaps that form after a liquidity sweep. Doing so reduces "noisy" FVGs and focuses on identifying FVGs that form after a significant trading event. The image above shows the feature enabled. A fair value gap that occurred after a liquidity sweep is shown. Market Structure The image above shows the ICT Master Suite calculating market structure shots and break of structures! The color of MSS and BoS, and whether they should be displayed, are configurable in the settings. Displacements The images above show indicator identifying and labeling displacements. The color of the displacements, and how many should be shown, are configurable in the settings! Equal Price Points The image above shows the indicator identifying and labeling equal highs and equal lows. The color of the equal levels, and how many should be shown, are configurable in the settings! Previous Custom TF High/Low The image above shows the ICT Master Suite calculating the high and low price for a user-defined timeframe. In this case the previous day’s high and low are calculated. To illustrate the customizable timeframe function, the image above shows the indicator calculating the previous 4 hour high and low. Liquidity Sweeps The image above shows the indicator identifying a liquidity sweep prior to an upside breakout. The image above shows the indicator identifying a liquidity sweep prior to a downside breakout. The color and aggressiveness of liquidity sweep identification are adjustable in the settings! Power Of Three The image above shows the indicator calculating Po3 for two user-defined higher timeframes! Macros The image above shows the ICT Master Suite identifying the ICT macros! ICT Macros are only displayable on the 5 minute timeframe or less. Strategy Performance Table In addition to a full-fledged TradingView backtest for any of the ICT strategy models the indicator offers, a quick-and-easy strategy table exists for the indicator! The image above shows the strategy performance table in action. Keep in mind that, because the ICT Master Suite is a strategy script, you can perform fully automatic backtests, deep backtests, easily add commission and portfolio balance and look at pertinent metrics for the ICT strategies you are testing! Lite Mode Traders who want the cleanest chart possible can toggle on “Lite Mode”! In Lite Mode, any neon or “glow” like effects are removed and key levels are marked as strict border boxes. You can also select to remove box borders if that’s what you prefer! Settings Used For Backtest For the displayed backtest, a starting balance of $1000 USD was used. A commission of 0.02%, slippage of 2 ticks, a verify price for limit orders of 2 ticks, and 5% of capital investment per order. A commission of 0.02% was used due to the backtested asset being a perpetual future contract for a crypto currency. The highest commission (lowest-tier VIP) for maker orders on many exchanges is 0.02%. All entered positions take place as maker orders and so do profit target exits. Stop orders exist as stop-market orders. A slippage of 2 ticks was used to simulate more realistic stop-market orders. A verify limit order settings of 2 ticks was also used. Even though BTCUSDT.P on Binance is liquid, we just want the backtest to be on the safe side. Additionally, the backtest traded 100+ trades over the period. The higher the sample size the better; however, this example test can serve as a starting point for traders interested in ICT concepts. Community Assistance And Feedback Given the complexity and idiosyncratic applications of ICT concepts amongst its proponents, the ICT Master Suite’s built-in strategies and level identification methods might not align with everyone's interpretation. That said, the best we can do is precisely define ICT strategy rules and concepts to a repeatable process, test, and apply them! Whether or not an ICT strategy is trading precisely how you would trade it, seeing the model in action, taking trades, and with performance statistics is immensely helpful in assessing predictive utility. If you think we missed something, you notice a bug, have an idea for strategy model improvement, please let us know! The ICT Master Suite is an ongoing project that will, ideally, be shaped by the community. A big thank you to the @PineCoders for their Time Library! Thank you!
Pine Script™ strategy
by Trading-IQ
13
NNFX RSI EMA FVMA MACD ALGOThis Pine Script introduces a cutting-edge trading strategy that seamlessly integrates multiple technical indicators—namely, the Flexible Variable Moving Average ( FVMA ), Relative Strength Index ( RSI ), Moving Average Convergence Divergence ( MACD ), and Exponential Moving Average ( EMA )—to deliver a sophisticated trading experience. This script stands out due to its comprehensive approach, robust risk management, and the inclusion of crucial data tables for various timeframes, making it an invaluable tool for traders seeking to enhance their market performance. Originality of the Strategy: The originality of this script lies in its unique combination of multiple powerful indicators, enabling traders to benefit from diverse perspectives on market dynamics. This mashup enhances decision-making processes, providing multiple layers of confirmation for trade entries and exits. The strategy is designed to offer an innovative solution for traders looking to improve their performance through well-defined rules and a solid framework. Flexible Variable Moving Average (FVMA): The FVMA adapts dynamically to market conditions, offering a more responsive trend line than traditional moving averages. This flexibility allows for quick identification of trends and reversals, crucial for fast-paced trading environments. Exponential Moving Average (EMA): By giving greater weight to recent price data, the EMA enhances sensitivity to price changes, allowing for more accurate entries and exits when used alongside the FVMA. This combination maximizes the effectiveness of the strategy in identifying optimal trading opportunities. Relative Strength Index (RSI): The RSI helps identify overbought or oversold conditions, integrating seamlessly with other indicators to enhance the strategy's ability to pinpoint potential reversal points. This aspect of the strategy ensures that traders can make informed decisions based on market momentum. Moving Average Convergence Divergence (MACD): The MACD serves as an essential confirmation tool, providing insights into trend strength and momentum. This enhances the accuracy of entry and exit signals, allowing traders to make more informed decisions based on robust technical analysis. Multi-Take Profit (TP) and Stop Loss (SL) Levels: The strategy supports multiple TPs, allowing traders to lock in profits at various levels while effectively managing risk through a robust SL system. This flexibility caters to diverse trading styles and risk profiles, ensuring that the strategy can adapt to individual trader needs. Default Properties: Take Profit Levels: TP1 is set to 2.0, and TP2 is set to 2.9, which is designed to enhance profit potential while maintaining a solid risk-reward ratio. Stop Loss: A SL is set at 2% of the 5% account balance, which helps to preserve capital and manage risk effectively, adhering to the guideline of not risking more than 5-10% of the account balance per trade. Labeling System for Exits: Automatic labeling of TP and SL exits on the chart provides clear visualization of trading outcomes. This feature supports informed decision-making and performance tracking, aligning with the guideline of providing transparent results. Custom Alerts System: The inclusion of customizable alerts for trade entries, exits, and SL/TP hits keeps traders informed in real-time, enabling prompt actions without constant market monitoring. This is crucial for effective trade management and helps traders respond quickly to market changes. API Boxes for Automated Trading: The strategy features API boxes, allowing traders to set up automated trading based on indicator signals. This functionality enables seamless integration with trading platforms, enhancing efficiency and streamlining the trading process, which is particularly valuable for traders looking to optimize their execution. Data Tables for Enhanced Analysis: The script includes data tables displaying critical insights across various timeframes: 2-hour, daily, weekly, and monthly. These tables provide a comprehensive overview of market conditions, allowing traders to analyze trends and make informed decisions based on a broad spectrum of data. By leveraging this information, traders can identify high-probability setups and align their strategies with prevailing market trends, significantly increasing their chances of success. Default Properties: Initial Capital: £1,000, ensuring a realistic starting point for traders. Risk per Trade: 5% of the account balance, promoting sustainable trading practices. Commission: 0.1%, reflecting realistic transaction costs that traders may encounter. Slippage: 1%, accounting for potential market volatility during trade execution. Take Profit Levels: TP1: 2.0 TP2: 2.9 Stop Loss (SL): 2% of the 5% account balance, which is well within acceptable risk parameters. Compliance with TradingView Guidelines: This script fully complies with TradingView's guidelines, specifically: Strategy Results: The strategy is designed to publish backtesting results that do not mislead traders. The realistic parameters outlined in the default properties ensure that traders have a clear understanding of potential outcomes. The dataset used for backtesting has sufficient trades to produce a reliable sample size, aligning with the guideline of ideally having more than 100 trades. Any deviations from recommended practices are justified in the script description, ensuring transparency and adherence to best practices. The script explains the default properties in detail, providing a thorough understanding of how these settings influence performance. Why This Script is Worth Paying For: This Pine Script offers an unparalleled trading experience through its unique combination of technical indicators, comprehensive trade management features, and detailed data tables for multiple timeframes. Here are compelling reasons to invest in this strategy: Holistic Approach: The integration of multiple indicators ensures a well-rounded perspective on market conditions, increasing the likelihood of successful trades. Advanced Risk Management: The flexibility of multiple TPs and SLs empowers traders to tailor their risk profiles according to individual strategies, enhancing overall profitability. Automated Trading Capability: The inclusion of API boxes for automated trading streamlines execution, allowing traders to capitalize on opportunities without the need for manual intervention. Comprehensive Data Analysis: The detailed data tables provide invaluable insights across different timeframes, enabling traders to make informed decisions based on robust market analysis. In summary, this innovative Pine Script represents a powerful tool designed to empower traders at all levels. Its originality, synergistic functionality, and comprehensive features create a dynamic and effective trading environment, justifying its value and positioning it as a must-have for anyone serious about achieving consistent trading success.
Pine Script™ strategy
by I3ig_Trades
G-Channel with EMA StrategyThe G-Channel is a custom channel with an upper (a), lower (b), and average (avg) line. These lines are dynamically calculated based on the current and previous closing prices, using the length input (default 100) to smooth the values: Upper Line (a): This is the maximum value of the current price or the previous upper value, adjusted by the difference between the upper and lower lines divided by the length. Lower Line (b): This is the minimum value of the current price or the previous lower value, similarly adjusted by the difference between the upper and lower lines. The average line (avg) is simply the midpoint between the upper and lower lines. The G-Channel signals trend direction: Bullish Condition: The system looks for the condition when the price crosses over the lower line (b), indicating a potential upward trend. Bearish Condition: When the price crosses under the upper line (a), it signals a potential downward trend. Exponential Moving Average (EMA) The strategy also incorporates an EMA with a default length of 200. The EMA serves as a trend filter to determine whether the market is trending upward or downward: Price below EMA: Indicates a bearish trend. Price above EMA: Indicates a bullish trend. Buy/Sell Conditions The strategy generates buy or sell signals based on the interaction between the G-Channel signals and the price relative to the EMA: Buy Signal: The strategy triggers a buy when: A bullish condition (recent crossover of price over the lower G-Channel line) is detected. The price is below the EMA, indicating that despite the recent bullish signal, the market might still be undervalued or in a temporary downturn. Sell Signal: The strategy triggers a sell when: A bearish condition (recent crossunder of price below the upper G-Channel line) is detected. The price is above the EMA, suggesting that the market might be overextended and poised for a downturn. Visualization The strategy plots: The upper, lower, and average lines of the G-Channel, with the average line colored based on bullish (green) or bearish (red) conditions. The EMA (orange) line to provide context on the general trend direction. Markers for Buy and Sell signals to visually indicate the strategy's entry points. Strategy Execution When a buy or sell signal is detected: Buy Entry: If the bullish condition and price < EMA condition are met, a long (buy) position is opened. Sell Entry: If the bearish condition and price > EMA condition are met, a short (sell) position is opened. Purpose This strategy aims to catch price reversals at critical points (when the price moves through the G-Channel) while filtering trades using the EMA to avoid entering during unfavorable market trends.
Pine Script™ strategy
by Blaise2024
Wolfpack Elite - Liquidation Sniper - by 9123416916### Strategy: **Wolfpack Elite - Liquidation Sniper by Md Arif** **Overview:** This is a technical analysis strategy designed for trading, which combines two popular technical indicators: **Relative Strength Index (RSI)** and **Moving Averages (MA)**. It identifies potential buy (long) and sell (short) signals based on oversold and overbought conditions in the market, along with crossovers between two moving averages. The strategy also incorporates a risk management system by setting **take profit** and **stop loss** levels to protect against large losses and lock in gains. --- **Key Components:** 1. **Indicators Used:** - **RSI (Relative Strength Index):** - Measures the speed and change of price movements. - Used to identify **overbought** (above 70) and **oversold** (below 30) conditions. - **Short and Long Moving Averages:** - The strategy uses two simple moving averages (SMA) to detect trends and potential entry points. - Short MA (9-period) and Long MA (21-period) are used for crossovers. 2. **Entry Signals:** - **Bullish Entry (Long Position):** - Triggered when the RSI falls below the oversold level (30) and the **short MA** crosses above the **long MA** (bullish crossover). - This suggests that the market might be oversold and ready to rebound. - **Bearish Entry (Short Position):** - Triggered when the RSI rises above the overbought level (70) and the **short MA** crosses below the **long MA** (bearish crossover). - This suggests that the market might be overbought and due for a correction. 3. **Risk Management:** - **Take Profit and Stop Loss:** - The strategy calculates the take profit and stop loss levels as percentages of the entry price. - **Take Profit:** Set at 5% above the entry price for long positions and 5% below the entry price for short positions. - **Stop Loss:** Set at 3% below the entry price for long positions and 3% above the entry price for short positions. 4. **Position Sizing:** - The position size is calculated as a percentage of the trader's total equity (default set to 100% of equity). 5. **Exit Conditions:** - **For Long Positions:** - Exit the trade if the price hits the take profit level (5% above entry) or the stop loss level (3% below entry). - **For Short Positions:** - Exit the trade if the price hits the take profit level (5% below entry) or the stop loss level (3% above entry). 6. **Visualization:** - The strategy visually plots the short and long moving averages on the chart. - It also marks **bullish crossovers** with green upward triangles and **bearish crossovers** with red downward triangles, making it easier to spot potential entry points. --- **How the Strategy Works:** - The strategy starts by calculating the **RSI** and **moving averages**. - It waits for specific conditions to trigger buy or sell signals. If the RSI indicates that the market is oversold and a bullish crossover occurs, it initiates a **long trade**. Similarly, if the RSI shows an overbought condition and a bearish crossover occurs, it opens a **short trade**. - Once a trade is open, the strategy monitors the price and automatically exits the trade if the price reaches the set take profit or stop loss level. --- This strategy is designed for active traders who seek to capitalize on short-term price movements and want clear entry/exit points with built-in risk management.
Pine Script™ strategy
by arifspj
Scalping Strategy By TradingConTotoScript Description: "Scalping Strategy By TradingConToto" This scalping strategy is designed to trade in volatile markets, taking advantage of rapid price movements. It uses pivots to identify key entry and exit points, along with exponential moving averages (EMAs) to determine the overall trend. Key Features: Dynamic Pivots: Calculates pivot highs and lows to identify support and resistance zones, improving entry accuracy. Market Trend Analysis: Utilizes a 100-period EMA for long-term trend analysis and a 25-period EMA for short-term trends, facilitating informed decision-making. Automated Entry and Exit: Generates buy and sell signals based on EMA crossovers and specific market conditions, ensuring you don't miss opportunities. Risk Management: Allows you to set take profit and stop loss levels tailored to market volatility, using the ATR for effective risk management. User-Friendly Interface: Easily customize strategy parameters such as pivot range, stop loss and take profit pips, and spread. Requirements: Ideal for use on short time frames during high activity sessions, like the configured scalping session. Activate buy and sell options according to your preference and analyze performance using TradingView’s tools. Note: This script is a tool and does not guarantee results. It is recommended to test in a simulated environment before applying it to real accounts. Optimize your scalping operations and enhance your market performance with this effective strategy!
Pine Script™ strategy
by TradingConToto
Unlock the Power of Seasonality: Monthly Performance StrategyThe Monthly Performance Strategy leverages the power of seasonality—those cyclical patterns that emerge in financial markets at specific times of the year. From tax deadlines to industry-specific events and global holidays, historical data shows that certain months can offer strong opportunities for trading. This strategy was designed to help traders capture those opportunities and take advantage of recurring market patterns through an automated and highly customizable approach. The Inspiration Behind the Strategy: This strategy began with the idea that market performance is often influenced by seasonal factors. Historically, certain months outperform others due to a variety of reasons, like earnings reports, holiday shopping, or fiscal year-end events. By identifying these periods, traders can better time their market entries and exits, giving them an advantage over those who solely rely on technical indicators or news events. The Monthly Performance Strategy was built to take this concept and automate it. Instead of manually analyzing market data for each month, this strategy enables you to select which months you want to focus on and then executes trades based on predefined rules, saving you time and optimizing the performance of your trades. Key Features: Customizable Month Selection: The strategy allows traders to choose specific months to test or trade on. You can select any combination of months—for example, January, July, and December—to focus on based on historical trends. Whether you’re targeting the historically strong months like December (often driven by the 'Santa Rally') or analyzing quieter months for low volatility trades, this strategy gives you full control. Automated Monthly Entries and Exits: The strategy automatically enters a long position on the first day of your selected month(s) and exits the trade at the beginning of the next month. This makes it perfect for traders who want to benefit from seasonal patterns without manually monitoring the market. It ensures precision in entering and exiting trades based on pre-set timeframes. Re-entry on Stop Loss or Take Profit: One of the standout features of this strategy is its ability to re-enter a trade if a position hits the stop loss (SL) or take profit (TP) level during the selected month. If your trade reaches either a SL or TP before the month ends, the strategy will automatically re-enter a new trade the next trading day. This feature ensures that you capture multiple trading opportunities within the same month, instead of exiting entirely after a successful or unsuccessful trade. Essentially, it keeps your capital working for you throughout the entire month, not just when conditions align perfectly at the beginning. Built-in Risk Management: Risk management is a vital part of this strategy. It incorporates an Average True Range (ATR)-based stop loss and take profit system. The ATR helps set dynamic levels based on the market’s volatility, ensuring that your stops and targets adjust to changing market conditions. This not only helps limit potential losses but also maximizes profit potential by adapting to market behavior. Historical Performance Testing: You can backtest this strategy on any period by setting the start year. This allows traders to analyze past market data and optimize their strategy based on historical performance. You can fine-tune which months to trade based on years of data, helping you identify trends and patterns that provide the best trading results. Versatility Across Asset Classes: While this strategy can be particularly effective for stock market indices and sector rotation, it’s versatile enough to apply to other asset classes like forex, commodities, and even cryptocurrencies. Each asset class may exhibit different seasonal behaviors, allowing you to explore opportunities across various markets with this strategy. How It Works: The trader selects which months to test or trade, for example, January, April, and October. The strategy will automatically open a long position on the first trading day of each selected month. If the trade hits either the take profit or stop loss within the month, the strategy will close the current position and re-enter a new trade on the next trading day, provided the month has not yet ended. This ensures that the strategy continues to capture any potential gains throughout the month, rather than stopping after one successful trade. At the start of the next month, the position is closed, and if the next month is also selected, a new trade is initiated following the same process. Risk Management and Dynamic Adjustments: Incorporating risk management with this strategy is as easy as turning on the ATR-based system. The strategy will automatically calculate stop loss and take profit levels based on the market’s current volatility, adjusting dynamically to the conditions. This ensures that the risk is controlled while allowing for flexibility in capturing profits during both high and low volatility periods. Maximizing the Seasonal Edge: By automating entries and exits based on specific months and combining that with dynamic risk management, the Ultimate Monthly Performance Strategy takes advantage of seasonal patterns without requiring constant monitoring. The added re-entry feature after hitting a stop loss or take profit ensures that you are always in the game, maximizing your chances to capture profitable trades during favorable seasonal periods. Who Can Benefit from This Strategy? This strategy is perfect for traders who: Want to exploit the predictable, recurring patterns that occur during specific months of the year. Prefer a hands-off, automated trading approach that allows them to focus on other aspects of their portfolio or life. Seek to manage risk effectively with ATR-based stop losses and take profits that adjust to market conditions. Appreciate the ability to re-enter trades when a take profit or stop loss is hit within the month, ensuring that they don't miss out on multiple opportunities during a favorable period. In summary, the Ultimate Monthly Performance Strategy provides traders with a comprehensive tool to capitalize on seasonal trends, optimize their trading opportunities throughout the year, and manage risk effectively. The built-in re-entry system ensures you continue to benefit from the market even after hitting targets within the same month, making it a robust strategy for traders looking to maximize their edge in any market. Risk Disclaimer: Trading financial markets involves significant risk and may not be suitable for all investors. The Monthly Performance Strategy is designed to help traders identify seasonal trends, but past performance does not guarantee future results. It is important to carefully consider your risk tolerance, financial situation, and trading goals before using any strategy. Always use appropriate risk management and consult with a professional financial advisor if necessary. The use of this strategy does not eliminate the risk of losses, and traders should be prepared for the possibility of losing their entire investment. Be sure to test the strategy on a demo account before applying it in live markets.
Pine Script™ strategy
by exlux
E9 Shark-32 Pattern Strategy The E9 Shark-32 Pattern is a powerful trading tool designed to capitalize on the Shark-32 pattern—a specific Candlestick pattern. The Shark-32 Pattern: What Is It? The Shark-32 pattern is a technical formation that occurs when the following conditions are met: Higher Highs and Lower Lows: The low of two bars ago is lower than the previous bar, and the previous bar's low is lower than the current bar. At the same time, the high of two bars ago is higher than the previous bar, and the previous bar’s high is higher than the current bar. This unique setup forms the "Shark-32" pattern, which signals potential volume squeezes and trend changes in the market. How Does the Strategy Work? The E9 Shark-32 Pattern Strategy builds upon this pattern by defining clear entry and exit rules based on the pattern's confirmation. Here's a breakdown of how the strategy operates: 1. Identifying the Shark-32 Pattern When the Shark-32 pattern is confirmed, the strategy "locks" the high and low prices from the initial bar of the pattern. These locked prices serve as key levels for future trade entries and exits. 2. Entry Conditions The strategy waits for the price to cross the pattern's locked high or low, signaling potential market direction. Long Entry: A long trade is triggered when the closing price crosses above the locked pattern high (green line). Short Entry: A short trade is triggered when the closing price crosses below the locked pattern low (red line). The strategy ensures that only one trade is taken for each Shark-32 pattern, preventing overtrading and allowing traders to focus on high-probability setups. 3. Stop Loss and Take Profit Levels The strategy has built-in risk management through stop-loss and take-profit levels, which are visually represented by the lines on the chart: Stop Loss: Stop loss can be adjusted in settings. Take Profit: For long trades: The take-profit target is set at the upper white dotted line, which is projected above the pattern high. For short trades: The take-profit target is set at the lower white dotted line, which is projected below the pattern low. These clearly defined levels help traders to manage risk effectively while maximizing potential returns. 4. Visual Cues To make trading decisions even easier, the strategy provides helpful visual cues: Green Line (Pattern High): This line represents the high of the Shark-32 pattern and serves as a resistance level and short entry signal. Red Line (Pattern Low): This line represents the low of the Shark-32 pattern and serves as a support level and long entry signal. White Dotted Lines: These lines represent potential profit targets, projected both above and below the pattern. They help traders define where the market might go next. Additionally, the strategy highlights the pattern formation with color-coded bars and background shading to draw attention to the Shark-32 pattern when it is confirmed. This adds a layer of visual confirmation, making it easier to spot opportunities in real-time. 5. No Repeated Trades An important aspect of the strategy is that once a trade is taken (either long or short), no additional trades are executed until a new Shark-32 pattern is identified. This ensures that only valid and confirmed setups are acted upon.
Pine Script™ strategy
by TraderE9
ICT Indicator with Paper TradingThe strategy implemented in the provided Pine Script is based on **ICT (Inner Circle Trader)** concepts, particularly focusing on **order blocks** to identify key levels for potential reversals or continuations in the market. Below is a detailed description of the strategy: ### 1. **Order Block Concept** - **Order blocks** are price levels where large institutional orders accumulate, often leading to a reversal or continuation of price movement. - In this strategy, **order blocks** are identified when: - The high of the current bar crosses above the high of the previous bar (for bullish order blocks). - The low of the current bar crosses below the low of the previous bar (for bearish order blocks). ### 2. **Buy and Sell Signal Generation** The core of the strategy revolves around identifying the **breakout** of order blocks, which is interpreted as a signal to either enter or exit trades: - **Buy Signal**: - Generated when the closing price crosses **above** the last identified bullish order block (i.e., the highest point during the last upward crossover of highs). - This signals a potential upward trend, and the strategy enters a long position. - **Sell Signal**: - Generated when the closing price crosses **below** the last identified bearish order block (i.e., the lowest point during the last downward crossover of lows). - This signals a potential downward trend, and the strategy exits any open long positions. ### 3. **Strategy Execution** The strategy is executed using the `strategy.entry()` and `strategy.close()` functions: - **Enter Long Positions**: When a buy signal is generated, the strategy opens a long position (buying). - **Exit Positions**: When a sell signal is generated, the strategy closes the long position. ### 4. **Visual Indicators on the Chart** To make the strategy easier to follow visually, buy and sell signals are marked directly on the chart: - **Buy signals** are indicated with a green upward-facing triangle above the bar where the signal occurred. - **Sell signals** are indicated with a red downward-facing triangle below the bar where the signal occurred. ### 5. **Key Elements of the Strategy** - **Trend Continuation and Reversals**: This strategy is attempting to capture trends based on the breakout of important price levels (order blocks). When the price breaks above or below a significant order block, it is expected that the market will continue in that direction. - **Order Block Strength**: Order blocks are considered strong areas where price action could reverse or accelerate, based on how institutional investors place large orders. ### 6. **Paper Trading** This script uses **paper trading** to simulate trades without actual money being involved. This allows users to backtest the strategy, seeing how it would have performed in historical market conditions. ### 7. **Basic Strategy Flow** 1. **Order Block Identification**: The script constantly monitors price movements to detect bullish and bearish order blocks. 2. **Buy Signal**: If the closing price crosses above the last order block high, the strategy interprets it as a sign of bullish momentum and enters a long position. 3. **Sell Signal**: If the closing price crosses below the last order block low, it signals a bearish momentum, and the strategy closes the long position. 4. **Visual Representation**: Buy and sell signals are displayed on the chart for easy identification. ### **Advantages of the Strategy:** - **Simple and Clear Rules**: The strategy is based on clearly defined rules for identifying order blocks and trade signals. - **Effective for Trend Following**: By focusing on breakouts of order blocks, this strategy attempts to capture strong trends in the market. - **Visual Aids**: The plot of buy/sell signals helps traders to quickly see where trades would have been placed. ### **Limitations:** - **No Shorting**: This strategy only enters long positions (buying). It does not account for shorting opportunities. - **No Risk Management**: There are no built-in stop losses, trailing stops, or profit targets, which could expose the strategy to large losses during adverse market conditions. - **Whipsaws in Range Markets**: The strategy could produce false signals in sideways or choppy markets, where breakouts are short-lived and prices quickly reverse. ### **Overall Strategy Objective:** The goal of the strategy is to enter into long positions when the price breaks above a significant order block, and exit when it breaks below. The strategy is designed for trend-following, with the assumption that price will continue in the direction of the breakout. Let me know if you'd like to enhance or modify this strategy further!
Pine Script™ strategy
by Blessed-Inspired
1
Reflected ema Difference (RED) This script, titled "Reflected EMA Difference (RED)," is based on the logic of evaluating the percentage of convergence and divergence between two moving averages, specifically the Hull Moving Averages (HMA), to make price-related decisions. The Hull Moving Average, created by Alan Hull, is used as the foundation of this strategy, offering a faster and more accurate way to analyze market trends. In this script, the concept is employed to measure and reflect price variations. Script Functionality Overview: Hull Moving Averages (HMA): The script utilizes two HMAs, one short-term and one long-term. The main idea is to compute the Delta Difference between these two moving averages, which represents how much they are converging or diverging from each other. This difference is key to identifying potential market trend changes. Reflected HMA Value: Using the Delta Difference between the HMAs, the value of the short-term HMA is reflected, creating a visual reference point that helps traders see the relationship between price and HMAs on the chart. Percentage Change Index: The second key parameter is the percentage change index. This determines when a trend is reversing, allowing buy or sell orders to be established based on significant changes in the relationship between the HMAs and the price. Delta Multiplier: The script comes with a default Delta multiplier of 2 for calculating the difference between HMAs, allowing traders to adjust the sensitivity of the analysis based on the time frame being analyzed. Trend Reversal Signals: When the price crosses the thresholds defined by the percentage change index, buy or sell signals are triggered, based on the detection of a potential trend reversal. Visual Cues with Boxes: Boxes are drawn on the chart when the HullMA crosses the reflected HMA value, providing a visual aid to identify critical moments where risk should be evaluated. Alerts for Receiving Signals: This script allows you to set up buy and sell alerts via TradingView's alert system. These alerts are triggered when trend changes are detected based on the conditions coded in the script. Traders can receive instant notifications, allowing them to make decisions without needing to constantly monitor the chart. Additional Considerations: The percentage change parameter is adjustable and should be configured based on the time frame you are trading on. For longer time frames, it's advisable to use a larger percentage change to avoid false signals. The use of Hull Moving Averages (HMA) provides a faster and more reactive approach to trend evaluation compared to other moving averages, making it a powerful tool for traders seeking quick reversal signals. This approach combines the power of Hull Moving Averages with an alert system to improve the trader’s response to trend changes. Spanish Este script, titulado "Reflected EMA Difference (RED)", está fundamentado en la lógica de evaluar el porcentaje de acercamiento y distancia entre dos medias móviles, específicamente las medias móviles de Hull (HMA), para tomar decisiones sobre el valor del precio. El creador de la media móvil de Hull, Alan Hull, diseñó este indicador para ofrecer una forma más rápida y precisa de analizar tendencias de mercado, y en este script se utiliza su concepto como base para medir y reflejar las variaciones de precio. Descripción del funcionamiento: Medias Móviles de Hull (HMA): Se utilizan dos HMAs, una de corto plazo y otra de largo plazo. La idea principal es calcular la diferencia Delta entre estas dos medias móviles, que representa cuánto se están alejando o acercando entre sí. Esta diferencia es clave para identificar cambios potenciales en la tendencia del mercado. Valor Reflejado de la HMA: Con la diferencia Delta calculada entre las HMAs, se refleja el valor de la HMA corta, creando un punto de referencia visual que ayuda a los traders a observar la relación entre el precio y las HMAs en el gráfico. Índice de Cambio de Porcentaje: El segundo parámetro clave del script es el índice de cambio porcentual. Este define el momento en que una tendencia está revirtiendo, permitiendo establecer órdenes de compra o venta en función de un cambio significativo en la relación entre las HMAs y el precio. Multiplicador Delta: El script tiene un multiplicador predeterminado de 2 para el cálculo de la diferencia Delta, lo que permite ajustar la sensibilidad del análisis según la temporalidad del gráfico. Señales de Reversión de Tendencia: Cuando el precio cruza los límites definidos por el índice de cambio porcentual, se emiten señales para comprar o vender, basadas en la detección de una posible reversión de tendencia. Visualización con Cajas: Se dibujan cajas en el gráfico cuando el indicador HullMA cruza el valor reflejado de la HMA, ayudando a identificar visualmente los momentos críticos en los que se debe evaluar el riesgo de las operaciones. Alertas para Recibir Señales: Este script permite configurar alertas de compra y venta desde el apartado de alertas de TradingView. Estas alertas se activan cuando se detectan cambios de tendencia en función de las condiciones establecidas en el código. El trader puede recibir notificaciones instantáneas, lo que facilita la toma de decisiones sin necesidad de estar constantemente observando el gráfico. Consideraciones adicionales: El porcentaje de cambio es un parámetro ajustable y debe configurarse según la temporalidad que se esté operando. En temporalidades más largas, es recomendable usar un porcentaje de cambio mayor para evitar señales falsas. La utilización de las medias móviles de Hull (HMA) proporciona un enfoque más rápido y reactivo para evaluar tendencias en comparación con otras medias móviles, lo que lo convierte en una herramienta poderosa para traders que buscan señales rápidas de reversión. Este enfoque combina la potencia de las medias móviles de Hull con un sistema de alertas que mejora la reactividad a cambios de tendencia.
Pine Script™ strategy
by MarcosPna
Liquidity strategy tester [Influxum]This tool is based on the concept of liquidity. It includes 10 methods for identifying liquidity in the market. Although this tool is presented as a strategy, we see it more as a data-gathering instrument. Warning: This indicator/strategy is not intended to generate profitable strategies. It is designed to identify potential market advantages and help with identifying effective entry points to capitalize on those advantages. Once again, we have advanced the methods of effectively searching for liquidity in the market. With strategies, defined by various entry methods and risk management, you can find your edge in the market. This tool is backed by thorough testing and development, and we plan to continue improving it. In its current form, it can also be used to test well-known ICT or Smart Money concepts. Using various methods, you can define market structure and identify areas where liquidity is located. Fair Value Gaps - one of the entry signal options is fair value gaps, where an imbalance between buyers and sellers in the market can be expected. Time and Price Theory - you can test this by setting liquidity from a specific session and testing entries as that liquidity is grabbed Judas Swing - can be tested as a market reversal after a breakout during the first hours of trading. Power of Three - accumulation can be observed as the market moving within a certain range, identified as cluster liquidity in our tool, manipulation occurs with the break of liquidity, and distribution is the direction of the entry. 🟪 Methods of Identifying Liquidity Pivot Liquidity This refers to liquidity formed by local extremes – the highest or lowest prices reached in the market over a certain period. The period is defined by a pivot number and determines how many candles before and after the high/low were higher/lower. Simply put, the pivot number represents the number of adjacent candles to the left and right, with a lower high for a pivot high and a higher low for a pivot low. The higher the number, the more significant the high/low is. Behind these local market extremes, we expect to find orders waiting for breakout as well as stop-losses. Gann Swing Similar to pivot liquidity, Gann swing identifies significant market points. However, instead of candle highs and lows, it focuses on the closing prices. A Gann swing is formed when a candle closes above (or below) several previous closes (the number is again defined by a strength parameter). Percentage Change Apart from ticks, percentages are also a key unit of market movement. In the search for liquidity, we monitor when a local high or low is formed. For liquidity defined by percentage change, a high must be a certain percentage higher than the last low to confirm a significant high. Similarly, a low must be a defined percentage away from the last significant high to confirm a new low. With the right percentage settings, you can eliminate market noise. Session Range (3x) Session range is a popular concept for finding liquidity, especially in smart money concepts (SMC). You can set up liquidity visualization for the Asian, London, or New York sessions – or even all three at once. This tool allows you to work with up to three sessions, so you can easily track how and if the market reacts to liquidity grabs during these sessions. Tip for traders: If you want to see the reaction to liquidity grab during a specific session at a certain time (e.g., the well-known killzone), you can set the Trading session in this tool to the exact time where you want to look for potential entries. Unfinished Auction Based on order flow theory, an unfinished auction occurs when the market reverses sharply without filling all pending orders. In price action terms, this can be seen as two candles at a local high or low with very similar or identical highs/lows. The maximum difference between these values is defined as Tolerance, with the default setting being 3 ticks. This setting is particularly useful for filtering out noise during slower market periods, like the Asian session. Double Tops and Bottoms A very popular concept not only from smart money concepts but also among price pattern traders is the double bottom and double top. This occurs when the market stops and reverses at a certain price twice in a row. In the tool, you can set how many candles apart these bottoms/tops can be by adjusting the Length parameter. According to some theories, double bottoms are more effective when there is a significant peak between the two bottoms. You can set this in the tool as the Swing value, which defines how large the movement (expressed in ticks) must be between the two peaks/bottoms. The final parameter you can adjust is Tolerance, which defines the possible price difference between the two peaks/bottoms, also expressed in ticks. Range or Cluster Liquidity When the market stays within a certain price range, there’s a chance that breakout orders and stop-losses are accumulating outside of this range. Our tool defines ranges in two ways: Candle balance calculates the average price within a candle (open, high, low, and close), and it defines consolidation when the centers of candles are within a certain distance from each other. Overlap confirms consolidation when a candle overlaps with the previous one by a set percentage. Daily, Weekly, and Monthly Highs or Lows These options simply define liquidity as the previous day’s, week’s, or month’s highs or lows. Visual Settings You can easily adjust how liquidity is displayed on the chart, choosing line style, color, and thickness. To display only uncollected liquidity, select "Delete grabbed liquidity." Liquidity Duration This setting allows you to control how long liquidity areas remain valid. You can cancel liquidity at the end of the day, the second day, or after a specific number of candles. 🟪 Strategy Now we come to the part of working with strategies. Max # of bars after liquidity grab – This parameter allows you to define how many candles you can search for entry signals from the moment liquidity is grabbed. If you are using engulfing as an entry signal, which consists of 2 candles, keep in mind that this number must be at least 2. In general, if you want to test a quick and sharp reaction, set this number as low as possible. If you want to wait for a structural change after the liquidity grab, which may require more candles, set the number a bit higher. 🟪 Strategy - entries In this section, we define the signals or situations where we can enter the market after liquidity has been taken out. Liquidity grab - This setup triggers a trade immediately after liquidity is grabbed, meaning the trade opens as the next candle forms. Close below, close above - This refers to situations where the price closes below liquidity, but then reverses and closes above liquidity again, suggesting the liquidity grab was a false breakout. Over bar - This occurs when the entire candle (high and low) passes beyond the liquidity level but then experiences a pullback. Engulfing - A popular price action pattern that is included in this tool. 2HL - weak, medium, strong - A variation of a popular candlestick pattern. Strong bar - A strong reactionary candle that forms after a liquidity grab. If liquidity is grabbed at a low, this would be a strong long candle that closes near its high and is significantly larger compared to typical volatility. Naked bar - A candlestick pattern we’ve tested that serves as a good confirmation of market movement. FVG (Fair Value Gap) - A currently popular concept. This is the only signal with additional settings. “Pending FVG order valid” means if a fair value gap forms after a liquidity grab, a limit order is placed, which remains valid for a set number of candles. “FVG minimal tick size” allows you to filter based on the gap size, measured in ticks. “GAP entry model” lets you decide whether to place the limit order at the gap close or its edge. 🟪 Strategy - General Long, short - You can choose whether to focus on long or short trades. It’s interesting to see how long and short trades yield different results across various markets. Pyramiding - By default, the tool opens only one trade at a time. If a new signal arises while a trade is open, it won’t enter another position unless the pyramiding box is checked. You also need to set the maximum number of open trades in the Properties. Position size - Simply set the size of the traded position. 🟪 Strategy - Time In this section, you can set time parameters for the strategy being tested. Test since year - As the name implies, you can limit the testing to start from a specific year. Trading session - Define the trading session during which you want to test entries. You can also visualize the background (BG) for confirmation. Exclude session - You can set a session period during which you prefer not to search for trades. For example, when the New York session opens, volatility can sharply increase, potentially reducing the long-term success rate of the tested setup. 🟪 Strategy - Exits This section lets you define risk management rules. PT & SL - Set the profit target (PT) and stop loss (SL) here. Lowest/highest since grab - This option sets the stop loss at the lowest point after a liquidity grab at a low or at the highest point after a liquidity grab at a high. Since markets usually overshoot during liquidity grabs, it’s good practice to place the stop loss at the furthest point after the grab. You can also set your risk-reward ratio (RRR) here. A value of 1 sets an RRR of 1:1, 2 means 2:1, and so on. Lowest/highest last # bars - Similar to the previous option, but instead of finding the extreme after a liquidity grab, it identifies the furthest point within the last number of candles. You can set how far back to look using the # bars field (for an engulfing pattern, 2 is optimal since it’s made of two candles, and the stop loss can be placed at the edge of the engulfing pattern). The RRR setting works the same way as in the previous option. Other side liquidity grab - If this option is checked, the trade will exit when liquidity is grabbed on the opposite side (i.e., if you entered on a liquidity grab at a low, the trade will exit when liquidity is grabbed at a high). Exit after # bars - A popular exit strategy where you close the position after a set number of candles. Exit after # bars in profit - This option exits the trade once the position is profitable for a certain number of consecutive candles. For example, if set to 5, the position will close when 5 consecutive candles are profitable. You can also set a maximum number of candles (in the max field), ensuring the trade is closed after a certain time even if the profit condition hasn’t been met. 🟪 Alerts Alerts are a key tool for traders to ensure they don’t miss trading opportunities. They also allow traders to manage their time effectively. Who would want to sit in front of the computer all day waiting for a trading opportunity when they could be attending to other matters? In our tool, you currently have two options for receiving alerts: Liquidity grabs alert – if you enable this feature and set an alert, the alert will be triggered every time a candle on the current timeframe closes and intersects with the displayed liquidity line. Entry signals alert – this feature triggers an alert when a signal for entry is generated based on the option you’ve selected in the Entry type. It’s an ideal way to be notified only when a trading opportunity appears according to your predefined rules.
Pine Script™ strategy
by Influxum
1