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SMA Stufen-TP Strategie (200/100/50/25) mit ReentryStrategy Description for TradingView: Multi-SMA Momentum & Reentry System This Pine Script strategy, named "SMA Stufen-TP Strategie (200/100/50/25) mit Reentry," is a Long-Only trend-following system designed to capitalize on upward momentum and capture significant gains while incorporating sophisticated logic for reentry after corrections. The system relies on four Simple Moving Averages (SMAs): SMA 200, SMA 100, SMA 50, and SMA 25. These indicators are used to define the trend structure, trigger entries, and set dynamic, layered Take-Profit (TP) levels. Entry Rules The strategy has one main entry and two specific reentry triggers: Main Entry (Standard Trend): A long position is opened when the price crosses above the SMA 200. This acts as the initial signal for a strong, long-term uptrend. Reentry 1 (Medium Correction): This reentry is sought after an official exit (Stop Loss or Take Profit). It is permitted if the SMA 100 is above the SMA 200 and two conditions are met: the price previously dipped below the SMA 100 during the correction, and it now closes two consecutive bars above the SMA 100. This targets a confirmed bounce within an overall bullish structure. Reentry 2 (Deep Correction/Momentum Shift): This triggers during a deep correction where all shorter SMAs (100, 50, 25) are below the SMA 200. Reentry occurs when the SMA 25 crosses above the SMA 50, signaling a powerful short-term momentum shift that precedes a larger recovery. Exit and Take-Profit Logic Exits are governed by a prioritized system including a fixed Stop Loss and three dynamic Take-Profit stages. A. Stop Loss (Highest Priority) The primary risk control is a fixed Stop Loss at -10% below the entry price. This is always the first exit condition checked. B. Layered Take-Profits (TP) Profits are secured using a step-wise mechanism that trails the price using the shorter SMAs, but only after specific profit thresholds are met. This ensures that the strategy provides ample room for a strong rally while securing gains as the trend matures. TP Stage 1: Activated when the price first crosses above the SMA 100. The position is closed if the profit reaches 10% or more and the price closes two consecutive bars below the SMA 100. TP Stage 2: Activated when the price first crosses above the SMA 50. The position is closed if the profit reaches 20% or more and the price closes two consecutive bars below the SMA 50. TP Stage 3: Activated when the price first crosses above the SMA 25. The position is closed if the profit reaches 40% or more and the price closes two consecutive bars below the SMA 25. The exit priority ensures that the tightest active stop is used: Stop Loss takes precedence, followed by TP 3 (the highest profit and tightest trail), then TP 2, and finally TP 1.
استراتيجية Pine Script®
من ‎oppliger79‎
Range Oscillator Strategy + Stoch Confirm🔹 Short summary This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades. ──────────────────────── 0. Legal / risk disclaimer ──────────────────────── • This script is FREE and public. I do not charge any fee for it. • It is for EDUCATIONAL PURPOSES ONLY. • It is NOT financial advice and does NOT guarantee profits. • Backtest results can be very different from live results. • Markets change over time; past performance is NOT indicative of future performance. • You are fully responsible for your own trades and risk. Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital. ──────────────────────── 1. About default settings and risk (very important) ──────────────────────── The script is configured with the following defaults in the `strategy()` declaration: • `initial_capital = 10000` → This is only an EXAMPLE account size. • `default_qty_type = strategy.percent_of_equity` • `default_qty_value = 100` → This means 100% of equity per trade in the default properties. → This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade. TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to: 1. Open **Strategy Settings → Properties**. 2. Set: • Order size: **Percent of equity** • Order size (percent): e.g. **1–2%** per trade 3. Make sure **commission** and **slippage** match your own broker conditions. • By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets. If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading. ──────────────────────── 2. What this strategy tries to do (conceptual overview) ──────────────────────── This is a LONG-ONLY strategy designed to explore the combination of: 1. **Range Oscillator (Zeiierman-based)** - Measures how far price has moved away from an adaptive mean. - Uses an ATR-based range to normalize deviation. - High positive oscillator values indicate strong price expansion away from the mean in a bullish direction. 2. **Stochastic as a timing filter** - A classic Stochastic (%K and %D) is used. - The logic requires %K to be below a user-defined level and then crossing above %D. - This is intended to catch moments when momentum turns up again, rather than chasing every extreme. 3. **EMA Exit Filter (trend slope)** - An EMA with configurable length (default 70) is calculated. - The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition. - This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted. 4. **Optional risk-management layer** - Percentage-based Stop Loss and Take Profit (SL/TP). - Risk/Reward (R-multiple) exit based on the distance from entry to SL. - Implemented as OCO orders that work *on top* of the logical exits. The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes. ──────────────────────── 3. Components and how they work together ──────────────────────── (1) Range Oscillator (based on “Range Oscillator (Zeiierman)”) • The script computes a weighted mean price and then measures how far price deviates from that mean. • Deviation is normalized by an ATR-based range and expressed as an oscillator. • When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction. • When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled). (2) Stochastic confirmation • Classic Stochastic (%K and %D) is calculated. • An entry requires: - %K to be below a user-defined “Cross Level”, and - then %K to cross above %D. • This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point. (3) EMA Exit Filter • The EMA length is configurable via `emaLength` (default 70). • The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA. • If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition. • This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit. (4) Risk management (optional) • Stop Loss (SL) and Take Profit (TP): - Defined as percentages relative to average entry price. - Both are disabled by default, but you can enable them in the Inputs. • Risk/Reward Exit: - Uses the distance from entry to SL to project a profit target at a configurable R-multiple. - Also optional and disabled by default. These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first. ──────────────────────── 4. Entry & Exit logic (high level) ──────────────────────── A) Time filter • You can choose a **Start Year** in the Inputs. • Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`). • This prevents accidental use of tiny cherry-picked windows and makes tests more honest. B) Entry condition (long-only) A long entry is allowed when ALL the following are true: 1. `timeCondition` is true (inside the backtest window). 2. If `useOscEntry` is true: - Range Oscillator value must be above `entryLevel`. 3. If `useStochEntry` is true: - Stochastic condition (`stochCondition`) must be true: - %K < `crossLevel`, then %K crosses above %D. If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`. C) Exit condition (logical exits) A position can be closed when: 1. `timeCondition` is true AND a long position is open, AND 2. At least one of the following is true: - If `useOscExit` is true: Oscillator is below `exitLevel`. - If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`). In that case, `strategy.close("Long")` is called. D) Risk-management exits While a position is open: • If SL or TP is enabled: - `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages. • If Risk/Reward exit is enabled: - `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance. These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels. ──────────────────────── 5. Recommended backtest configuration (to avoid misleading results) ──────────────────────── To align with TradingView House Rules and avoid misleading backtests: 1. **Initial capital** - 10 000 (or any value you personally want to work with). 2. **Order size** - Type: **Percent of equity** - Size: **1–2%** per trade is a reasonable starting point. - Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice. 3. **Commission & slippage** - Commission: around 0.1% if that matches your broker. - Slippage: a few ticks (e.g. 3) to account for real fills. 4. **Timeframe & markets** - Volatile symbols (e.g. crypto like BTCUSDT, or major indices). - Timeframes: 1H / 4H / **1D (Daily)** are typical starting points. - I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes. 5. **No “caution warning”** - Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages. - If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period. ──────────────────────── 5a. About low trade count and rare signals ──────────────────────── This strategy is intentionally designed to trade RARELY: • It is **long-only**. • It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter). • On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest. TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case: • The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window. • The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals. • Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data. Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample. ──────────────────────── 6. How to use this strategy (step-by-step) ──────────────────────── 1. Add the script to your chart. 2. Open the **Inputs** tab: - Set the backtest start year. - Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter. - Optionally enable SL, TP, and Risk/Reward exits. 3. Open the **Properties** tab: - Set a realistic account size if you want. - Set order size to a realistic % of equity (e.g. 1–2%). - Confirm that commission and slippage are realistic for your broker. 4. Run the backtest: - Look at Net Profit, Max Drawdown, number of trades, and equity curve. - Remember that a low trade count means the statistics are not very strong. 5. Experiment: - Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params. - See how the metrics and trade frequency change. 6. Forward-test: - Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time. ──────────────────────── 7. Originality and usefulness (why this is more than a mashup) ──────────────────────── This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component: • Range Oscillator: - Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric. • Stochastic: - Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn. • EMA Exit Filter: - Trend-slope-based safety net to exit when the medium-term direction changes against the position. • Risk module: - Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic. It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product. ──────────────────────── 8. Limitations and good practices ──────────────────────── • No single strategy works on all markets or in all regimes. • This script is long-only; it does not short the market. • Performance can degrade when market structure changes. • Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit. Good practices: - Test on multiple symbols and timeframes. - Focus on stability and drawdown, not only on how high the profit line goes. - View this as a learning tool and a basis for your own research. ──────────────────────── 9. Licensing and credits ──────────────────────── • Core oscillator idea & base code: - “Range Oscillator (Zeiierman)” - © Zeiierman, licensed under CC BY-NC-SA 4.0. • Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer: - Modifications by jokiniemi. Please respect both the original license and TradingView House Rules if you fork or republish any part of this script. ──────────────────────── 10. No payments / no vendor pitch ──────────────────────── • This script is completely FREE to use on TradingView. • There is no paid subscription, no external payment link, and no private signals group attached to it. • If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice. Use this script as a tool to learn, experiment, and build your own understanding of markets. ──────────────────────── 11. Example backtest settings used in screenshots ──────────────────────── To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration: • Symbol: BTCUSDT (or similar major BTC pair) • Timeframe: 1D (Daily) • Backtest period: from 2018 to the most recent data • Initial capital: 10 000 • Order size type: Percent of equity • Order size: 2% per trade • Commission: 0.1% • Slippage: 3 ticks • Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default • Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
استراتيجية Pine Script®
من ‎jokiniemi‎
Braid Filter StrategyThis strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Chad Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving AveragesThese averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
استراتيجية Pine Script®
من ‎ChadAnt‎
7
Braid Filter StrategyAnother of TradeIQ's youtube strategies. It looks a little messy but it combines all the indicators into one so there are no extra panes. This strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Braid Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving Averages These averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
استراتيجية Pine Script®
من ‎ChadAnt‎
1
Weekly Momentum Divergence StrategyWMDS: Weekly Momentum Divergence Strategy WMDS (Weekly Momentum Divergence Strategy) is an advanced trading system designed to identify market trends based on the flawless convergence of **high-timeframe trend strength** and **short-term momentum**, moving beyond superficial indicators. Unlike conventional systems, WMDS allows the trader to filter out chart noise and focus solely on the most reliable trend transitions, which have been **quantitatively validated**. ---------------------------------------------------- I. CORE STRUCTURE AND KEY DIFFERENTIATORS ---------------------------------------------------- WMDS fundamentally differs from other systems by avoiding the simplistic 'single indicator' or 'basic crossover' approach. The strategy validates the robustness of every signal using a **5-Factor Scorecard System** based on 100 points before initiating a position. A. Multitimeframe Convergence Filter 1. Weekly Trend Focus: The system utilizes price averages derived from weekly data to establish the core trend. This process filters out noise from lower timeframes, minimizing the risk of false signals (whipsaws) caused by momentary price fluctuations. 2. Five-Criteria Scoring: The reliability of a trade signal depends on the cumulative score of five distinct criteria: Momentum Strength, Directional Confluence, Trend Core, Short-Term Convergence, and Channel Oscillator Bias. B. How WMDS Operates (Mechanism) WMDS analyzes the five criteria upon the close of every bar and calculates an **Entry Score**. When the calculated Score exceeds the user-defined **Minimum Entry Threshold (Default: 70 Points)**, the system automatically generates and executes a Long or Short position. C. Distinctions from Other Systems (In-Depth Comparison) * **Adaptive Risk Management:** Unlike bots that use rigid percentage-based stop losses, WMDS's ATR-based SL automatically expands or contracts according to market volatility. This ensures the risk of every position is adapted to current market conditions, performing better across various market regimes (ranging/trending). * **Advanced Filtering:** Where simple Moving Average (MA) crossover strategies can rapidly change trend direction, WMDS's Weekly DMI and Momentum filters mandate that entries are only made on durable and established trends. * **Clean and Minimalist Visuals:** The chart only displays two average lines and the colored fill between them. This eliminates unnecessary arrows, text, and complex lines, significantly reducing the **cognitive load** on the investor. ---------------------------------------------------- II. COMPREHENSIVE USAGE AND SETTING DETAILS ---------------------------------------------------- A. Position Management and Exit Rules | Parameter | Default Value | Purpose and Risk/Reward Relationship | | **Take Profit Percentage (TP)** | **33%** | A fixed target. More aggressive traders might lower this rate (e.g., 15%) to realize profits faster. | | **Stop Loss (SL)** | **ATR Multiplier (3.5)** | Risk is set equal to 3.
استراتيجية Pine Script®
من ‎asilturk‎
WIN DayTrade Brasil - by Ichilinha A comprehensive day trading strategy developed specifically for trading the Mini Index (WIN) on the Brazilian market (B3). It combines multi-timeframe technical analysis, trend/sideway filters, advanced risk management with ATR, and strict controls on the time and number of daily trades. Note: Always trade responsibly. Day trading requires technical knowledge, emotional discipline, and proper risk management. Never trade with money you cannot afford to lose.
استراتيجية Pine Script®
من ‎Ichilinha‎
2
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting📊 I. Strategy Overview: Trust Backed by Numbers The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data. This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period. ■ Visual Proof: Bar Replay Simulation The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms: Confirmed buy/sell signals with exact execution prices (marked in red and blue) No repainting or signal distortion after candle close Consistent performance across multiple market cycles within the highlighted zone 💰 Core Performance Metrics: Cumulative Return: 2,609.14% (compounded growth over 7 years) Maximum Drawdown (MDD): 6.999% (preserving over 93% of capital) Average Profit/Loss Ratio: 8.003 (industry-leading risk-reward efficiency) Total Trades: 24 (focused exclusively on high-conviction opportunities) Sortino Ratio: 11.486 (mathematically proving robustness and stability) ✅ This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period. 📊 I. 전략 개요: 숫자로 입증된 신뢰 ADX Sniper v12 전략은 2018년 11월 14일부터 2025년 11월 8일까지 약 7년간 비트코인 (BTCUSD.P) 선물 시장의 모든 주요 사이클을 거치며 엄격하게 검증되었습니다. 수익성 극대화와 변동성 최소화라는 상충되는 목표를 동시에 달성한 이 전략의 핵심 성과 지표를 객관적 데이터를 통해 확인하실 수 있습니다. 본 전략은 7년간의 모든 비트코인 (BTCUSD.P) 선물 시장 사이클에서 검증되었습니다. ■ 시각적 증명: 바 리플레이 시뮬레이션 위 차트는 TradingView의 바 리플레이 기능으로 포착된 실제 진입 및 청산 시점을 보여줍니다. 녹색 네모는 핵심 수익 구간을 표시하며, 전략이 지속적인 상승 추세를 성공적으로 포착한 영역을 나타냅니다. 본 시각 자료는 다음을 입증합니다: 정확한 체결 가격이 표기된 확정된 매수/매도 신호 (빨강색과 파랑색으로 표시) 캔들 종가 후 신호 왜곡이나 리페인팅 없음 강조 표시된 구간 내 여러 시장 사이클에 걸친 일관된 성과 💰 핵심 성과 지표: 누적 수익률: 2,609.14% (7년간 복리 성장 입증) 최대 낙폭 (MDD): 6.999% (7년간 자본의 93% 이상 보존) 평균 손익비: 8.003 (업계 최고 수준의 위험-보상 효율성) 총 거래 횟수: 24회 (고확신 기회에만 집중) 소르티노 비율: 11.486 (전략의 견고성과 안정성을 수학적으로 입증) ✅ 본 전략은 7년간의 모든 비트코인 (BTCUSD.P) 선물 시장 사이클에서 검증되었습니다. 🛡️ II. Core Philosophy: Cut Losses Short, Let Profits Run Why MDD Stays Below 7% in a Volatile Market The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck: 🎯 Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones. 🏛️ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns. The Power of an 8.003 Profit Factor The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns. A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy: Cutting losses quickly (averaging $177,419 USD loss per trade) Riding winners for maximum extension (averaging $1,419,920 USD profit per trade) 🛡️ II. 핵심 철학: 손실은 빠르게 자르고, 수익은 끝까지 암호화폐 시장에서 MDD <7%의 의미 암호화폐 선물 시장은 일일 변동성이 10%를 초과하는 경우가 빈번하며, 일반적인 전략들은 30~50%의 MDD를 겪습니다. 이와 극명한 대조로, 본 전략은 7년간 단 한 번도 7%를 초과하는 계좌 손실을 기록하지 않았습니다. 이렇게 극도로 낮은 MDD는 운이 아닌 체계적인 메커니즘을 통해 달성되었습니다: 🎯 진입 필터링: 'ADX 팝업 필터'가 핵심 구성 요소로, 시장 상황이 주요 반전이나 횡보를 나타낼 때 거래를 엄격히 회피하여 고위험 구간 노출을 최소화합니다. 🏛️ 자본 보존 우선: 본 전략은 최대 잠재 손실을 감수하기보다 투자자의 심리적 안정성과 자본 보존을 우선시하도록 설계되었습니다. 손익비 8.003의 힘 손익비는 '총 수익 거래'와 '총 손실 거래'의 비율로, 위험 조정 수익을 측정하는 핵심 지표입니다. 8.003이라는 값은 1달러를 잃을 때마다 평균적으로 8달러 이상을 벌어들이는 구조를 의미합니다. 이는 진정한 추세 추종 전략의 최대 효율성을 보여줍니다: 손실은 빠르게 자르고 ($177,419 USD 평균 손실) 수익은 최대한 연장합니다 ($1,419,920 USD 평균 수익) 🎯 III. Strategy Reliability and Structural Edge The Secret of 24 Trades in 7 Years Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading: ❌ No commission bleed ❌ No slippage erosion ❌ No psychological wear from overtrading 📈 Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise. Non-Repainting Structure: Alignment of Reality and Simulation 🎬 Non-Repainting Proof Video Available ※↑ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years." ✅ Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed. ✅ Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments. ✅ Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results. 🎯 III. 전략의 신뢰성과 구조적 우위 7년간 24회 거래의 비밀 7년간 단 24회의 거래는 시장 변동성의 99%를 무시하고 오직 1%의 '가장 확실한 매수 사이클'만을 타겟으로 한다는 것을 의미합니다. 이는 과도한 거래로 인한 문제를 근본적으로 제거합니다: ❌ 수수료 소모 없음 ❌ 슬리피지 침식 없음 ❌ 과도한 트레이딩으로 인한 심리적 소모 없음 📈 장기 추세 추종: 비트코인 가격 역사를 지배하는 장기 사이클 분석을 활용하여, 단기 시장 노이즈에 흔들리지 않고 대규모 추세의 시작점을 포착하는 데 집중합니다. 논-리페인팅 구조: 현실과 시뮬레이션의 일치 🎬 논-리페인팅 증명 영상 제공 가능 ※↑ "원하신다면 7년간 리페인팅이 없음을 증명하는 영상도 보여드릴 수 있습니다." ✅ 실시간 거래 신뢰성: 본 전략은 논-리페인팅 구조로 구축되어, 캔들의 종가가 확정된 후에만 매수/매도 신호를 생성합니다. ✅ 데이터 과장 방지: 이러한 설계는 백테스트 결과가 과거 성과를 '리페인팅'하거나 과장하지 않도록 보장하며, 시뮬레이션 결과와 실제 라이브 거래 환경 간의 높은 상관관계를 보장합니다. ✅ 라이브 실행 우위 가능성: 시뮬레이션은 종가 기준이지만, 라이브 운영 시 캔들이 마감되기 전 더 유리한 가격에 진입할 수 있어 시뮬레이션 결과보다 더 나은 실행 성과를 얻을 가능성이 있습니다. 📈 IV. Performance Summary (November 14, 2018 - November 8, 2025) | Metric | Value || Metric | Value | |--------|-------| | Initial Capital | $1,000,000 | | Net Profit | +$26,091,383.74 | | Cumulative Return | +2,609.14% | | Maximum Drawdown | -6.999% | | Total Trades | 24 | | Winning Trades | 19 (79.17%) | | Losing Trades | 5 (20.83%) | | Avg Winning Trade | +$1,419,920.16 | | Avg Losing Trade | -$177,419.86 | | Profit Factor | 8.003 | | Sortino Ratio | 11.486 | | Win/Loss Ratio | 8.003 | ⚙️ Default Settings: Slippage: 0 ticks Commission: 0.333% (Bybit standard) 📈 IV. 성과 지표 요약 (2018년 11월 14일 ~ 2025년 11월 8일) || 지표 | 값 | |--------|-------| | 초기 자본 | $1,000,000 | | 순이익 | +$26,091,383.74 | | 누적 수익률 | +2,609.14% | | 최대 낙폭 | -6.999% | | 총 거래 횟수 | 24 | | 수익 거래 | 19 (79.17%) | | 손실 거래 | 5 (20.83%) | | 평균 수익 거래 | +$1,419,920.16 | | 평균 손실 거래 | -$177,419.86 | | 손익비 | 8.003 | | 소르티노 비율 | 11.486 | | 평균 손익 비율 | 8.003 | ⚙️ 기본 설정: 슬리피지: 0틱 (기본값) 수수료: 0.333% (Bybit 표준) 👥 V. Who Is This Strategy For? ✅ Long-term Bitcoin investors seeking stable, low-drawdown returns ✅ Traders tired of overtrading who prefer surgical, sniper-style precision entries ✅ Investors seeking psychological stability by avoiding large account swings ✅ Data-driven decision makers who value proven performance over marketing claims 👥 V. 이 전략은 누구를 위한 것인가요? ✅ 안정적이고 낮은 낙폭의 수익을 추구하는 장기 비트코인 투자자 ✅ 과도한 매매에 지친 트레이더로 저격수 스타일의 정밀한 진입을 선호하는 분 ✅ 큰 계좌 변동을 피하여 심리적 안정성을 추구하는 투자자 ✅ 주장보다 검증된 객관적 성과를 중시하는 데이터 기반 의사 결정자 🔒 VI. Access & Disclaimer 🔐 Access Type: Invite-Only (Protected Source Code) 💬 How to Get Access: Send a private message or leave a comment below ⚠️ Important Disclaimer: Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy. 🔒 VI. 접근 방법 및 면책사항 🔐 접근 유형: 초대 전용 (소스코드 보호) 💬 접근 방법: 비공개 메시지 또는 아래 댓글 남기기 ⚠️ 중요 면책사항: 과거 성과가 미래 결과를 보장하지 않습니다. 암호화폐 및 선물 거래는 상당한 손실 위험을 수반합니다. 본 전략은 교육 및 정보 제공 목적으로만 제공됩니다. 사용자는 투자 결정을 내리기 전 자체 조사를 수행하고 재무 자문가와 상담해야 합니다. 저자는 본 전략 사용으로 인한 재정적 손실에 대해 책임지지 않습니다. 🏷️ VII. Tags Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio 🏷️ VII. 태그 비트코인 |비트코인 | BTCUSD | BTCUSD.P | 바이비트 | 일봉 | 장기투자 | 추세추종 | ADX | 논리페인팅 | 전략 | 백테스트검증 | 7년검증 | 저낙폭 | 고손익비 | 안정수익 | 자본보존 | 일목균형표 | DMI | 슈퍼트렌드 | 기술적분석 | 변동성 | 위험관리 | 자동매매 | 선물 | 무기한선물 | 알고리즘트레이딩 | 시스템트레이딩 | 데이터기반 | 초대전용 | 보호스크립트 | 저격수트레이딩 | 고확신 | MDD | 소르티노비율 📌 Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes. 📌 참고: 본 전략은 Bybit BTCUSD.P 무기한 선물 계약의 1일봉(Daily) 타임프레임에 전용으로 설계되었습니다. 다른 심볼이나 타임프레임에서는 성과가 크게 달라질 수 있습니다.
استراتيجية Pine Script®
من ‎gajagoo‎
7
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting 📊 I. Strategy Overview: Trust Backed by Numbers The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data. This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period. ■ Visual Proof: Bar Replay Simulation The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms: 1) Confirmed buy/sell signals with exact execution prices (marked in red and blue) 2) No repainting or signal distortion after candle close 3) Consistent performance across multiple market cycles within the highlighted zone 💰 Core Performance Metrics: Cumulative Return : 2,609.14% (compounded growth over 7 years) Maximum Drawdown (MDD) : 6.999% (preserving over 93% of capital) Average Profit/Loss Ratio : 8.003 (industry-leading risk-reward efficiency) Total Trades : 24 (focused exclusively on high-conviction opportunities) Sortino Ratio : 11.486 (mathematically proving robustness and stability) ✅ This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period. 🛡️ II. Core Philosophy: Cut Losses Short, Let Profits Run Why MDD Stays Below 7% in a Volatile Market The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck: 🎯 Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones. 🏛️ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns. The Power of an 8.003 Profit Factor The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns. A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy: Cutting losses quickly (averaging $177,419 USD loss per trade) Riding winners for maximum extension (averaging $1,419,920 USD profit per trade) 🎯 III. Strategy Reliability and Structural Edge The Secret of 24 Trades in 7 Years Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading: ❌ No commission bleed ❌ No slippage erosion ❌ No psychological wear from overtrading 📈 Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise. Non-Repainting Structure: Alignment of Reality and Simulation 🎬 Non-Repainting Proof Video Available ※↑ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years." ✅ Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed. ✅ Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments. ✅ Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results. 📈 IV. Performance Summary (November 14, 2018 - November 8, 2025) || Metric | Value | |--------|-------| | Initial Capital | $1,000,000 | | Net Profit | +$26,091,383.74 | | Cumulative Return | +2,609.14% | | Maximum Drawdown | -6.999% | | Total Trades | 24 | | Winning Trades | 19 (79.17%) | | Losing Trades | 5 (20.83%) | | Avg Winning Trade | +$1,419,920.16 | | Avg Losing Trade | -$177,419.86 | | Profit Factor | 8.003 | | Sortino Ratio | 11.486 | | Win/Loss Ratio | 8.003 | ⚙️ Default Settings: Slippage: 0 ticks Commission: 0.333% (Bybit standard) 👥 V. Who Is This Strategy For? ✅ Long-term Bitcoin investors seeking stable, low-drawdown returns ✅ Traders tired of overtrading who prefer surgical, sniper-style precision entries ✅ Investors seeking psychological stability by avoiding large account swings ✅ Data-driven decision makers who value proven performance over marketing claims 🔒 VI. Access & Disclaimer 🔐 Access Type: Invite-Only (Protected Source Code) 💬 How to Get Access: Send a private message or leave a comment below ⚠️ Important Disclaimer: Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy. 🏷️ VII. Tags Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio 📌 Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes.
استراتيجية Pine Script®
من ‎gajagoo‎
3
Stochastic + Bollinger Bands Multi-Timeframe StrategyThis strategy fuses the Stochastic Oscillator from the 4-hour timeframe with Bollinger Bands from the 1-hour timeframe, operating on a 10-hour chart to capture a unique volatility rhythm and temporal alignment discovered through observational alpha. By blending momentum confirmation from the higher timeframe with short-term volatility extremes, the strategy leverages what some traders refer to as “rotating volatility” — a phenomenon where multi-timeframe oscillations sync to reveal hidden trade opportunities. 🧠 Strategy Logic ✅ Long Entry Condition: Stochastic on the 4H timeframe: %K crosses above %D Both %K and %D are below 20 (oversold zone) Bollinger Bands on the 1H timeframe: Price crosses above the lower Bollinger Band, indicating a potential reversal → A long trade is opened when both momentum recovery and volatility reversion align. ✅ Long Exit Condition: Stochastic on the 4H: %K crosses below %D Both %K and %D are above 80 (overbought zone) Bollinger Bands on the 1H: Price reaches or exceeds the upper Bollinger Band, suggesting exhaustion → The long trade is closed when either signal suggests a potential reversal or overextension. 🧬 Temporal Structure & Alpha This strategy is deployed on a 10-hour chart — a non-standard timeframe that may align more effectively with multi-timeframe mean reversion dynamics. This subtle adjustment exploits what some traders identify as “temporal drift” — the desynchronization of volatility across timeframes that creates hidden rhythm in price action. → For example, Stochastic on 4H (lookback 17) and Bollinger Bands on 1H (lookback 20) may periodically sync around 10H intervals, offering unique alpha windows. 📊 Indicator Components 🔹 Stochastic Oscillator (4H, Length 17) Detects momentum reversals using %K and %D crossovers Helps define overbought/oversold zones from a mid-term view 🔹 Bollinger Bands (1H, Length 20, ±2 StdDev) Measures price volatility using standard deviation around a moving average Entry occurs near lower band (support), exits near upper band (resistance) 🔹 Multi-Timeframe Logic Uses request.security() to safely reference 4H and 1H indicators from a 10H chart Avoids repainting by using closed higher-timeframe candles only 📈 Visualization A plot selector input allows toggling between: Stochastic Plot (%K & %D, with overbought/oversold levels) Bollinger Bands Plot (Upper, Basis, Lower from 1H data) This helps users visually confirm entry/exit triggers in real time. 🛠 Customization Fully configurable Stochastic and BB settings Timeframes are independently adjustable Strategy settings like position sizing, slippage, and commission are editable ⚠️ Disclaimer This strategy is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Market conditions vary, and past performance does not guarantee future results. Always test any trading strategy in a simulated environment and consult a licensed financial advisor before making real-world investment decisions.
استراتيجية Pine Script®
من ‎RWCS_LTD‎
adrianasibaja_ ALGO (Liquidity/BOS/FVG + Sessions + Risk Locks)This strategy is an institutional-style automated trading system designed for XAU/USD and FTMO-funded accounts. It combines liquidity sweeps, Break of Structure (BOS) and Fair Value Gap (FVG) confirmations with multi-filter confluences (RSI, ADX, ATR, EMA trend bias, and candle quality). The algorithm automatically filters trades by session (London/New York), day of week, and volatility. It includes full FTMO risk management features such as daily loss lock, consecutive loss lock, and trade cooldowns.
استراتيجية Pine Script®
من ‎adrianasibaja_‎
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts. Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern. The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it. 🔵 Identifying the QM Pattern 🟣 Bullish QM In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement. 🟣 Bearish QM The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes. 🔵 How to Use The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases. 🟣 Bullish Quasimodo A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low. This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy. 🟣 Bearish Quasimodo A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped. Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps. 🔵 Setting Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5. Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter. Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter. Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point. Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980. Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15. 🔵 Results The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image. ⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences. Default Properties of Backtests : OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year : BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year : CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year : NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year : OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year : PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
استراتيجية Pine Script®
من ‎TFlab‎
18