IC Swing - V1The core goal of the script is to capture trades that align with a strong trend confirmed by the Ichimoku Cloud and ADX/DMI, with entries based on a Kijun-Tenkan cross and exits managed by dynamic swing pivot-based trailing stops.
Position Management & Exit Logic
The strategy uses a robust, two-part system to manage risk and lock in profits:
Initial Stop Loss (SL): An immediate, hard stop-loss is placed when a trade opens, calculated as the ATR Multiplier (default 2.0) away from the entry bar's low (for long) or high (for short). This provides instant protection.
Trailing Stop: After a configurable delay (minBarsBeforeExit, default 2 bars), the initial stop-loss is overwritten by a dynamic trailing stop. This stop is based on the last confirmed swing pivot (low for long, high for short), buffered by a small ATR amount (0.5). The stop only trails in the direction of the trade (e.g., moves up for a long trade) and never moves against it.
Hard Exit (Swing Break): The position is closed if the price breaks the last confirmed swing pivot against the trade direction, acting as a second, swing-based exit mechanism.
Latching Exits: The exitLatchLong/exitLatchShort variables are used to prevent the strategy from immediately reversing or re-entering on the same bar after a position has been closed due to a stop hit or a hard exit.
Indicators and strategies
LuBot Ultimate Price Action Strategy (Automatic Trading Bot)ITA in fondo
This is the strategic version of the LuBot indicator released on January 23, 2023.
I won't rewrite the entire description here because it would just be repetitive, so for those who want to understand how LuBot works and what it contains, you can find it from the following link:https://it.tradingview.com/script/sTnE378Z/
After several modifications and updates over the years, I also created the version that shows the results of the backtest as the initial idea was to follow a more discretionary strategy using the indicator alone, but it is certainly useful to already have an idea, an overview of the markets and timeframes in which the strategy performs best and on which to decide to operate.
Backtest results are obviously not guarantees of future earnings, so I take no responsibility for using this strategy.
The strategy serves to give an idea of profitability, the results obtained must only serve as a general idea that the strategy worked in that market.
Having said this, within the strategy you will find everything that LuBot normally contains, with the addition of the fields to also activate the automatic bot.
In the settings you will then find 4 windows in which to enter messages to activate the bot for automatic trading.
Inside the first window I have already entered the instructions to start the automatic bot.
If you want the bot to only execute Long trades, set the strategy to "Long Only", enter the trade opening message and the trade closing message only in the 2 windows dedicated to Long trades.
Insert the webhook, activate the "any alert function" alert and the bot is active.
The strategy operates at the close of the candle for both entry and exit.
The Take Profit and Stop Loss levels are automatic by default and are updated on each candle looking for the ideal exit both in profit and loss.
In the latest update, the label has been introduced which shows whether there are Price Action or further signal strength signals in that trigger.
CONCLUSION
I started working on the LuBot indicator in 2019 when I realized that I was not made to trade on fast-paced timeframes as they only led to me losing money.
So I started studying the higher timeframes (4h, Daily, Weekly) and I understood that the best strategy is trend chasing.
Personally, therefore, I look for the triggers on the 4h and go to check if the daily and weekly are in a favorable trend.
With the 2 horizontal structure lines D and W you can see from any timeframe whether the structure is favorable.
If everything matches I place the order and wait.
I don't look at what's happening all day. I created this indicator/strategy to stay relaxed.
In the evening calmly, even from my mobile phone I can easily see the graphs and understand whether to open or close positions.
This was the result I wanted to achieve. Trade calmly and profitably without too many complexities.
Let's make our lives easier.
I hope you like this strategy and appreciate its potential.
For any information I am always available :)
ITALIANO
Questa è la versione strategica dell'indicatore LuBot pubblicato il 23 gennaio 2023.
Non riscrivo qui tutta la descrizione perché sarebbe solo ripetitivo quindi per chi volesse capire come funziona LuBot e cosa contiene più trovarlo dal seguente link:
Dopo diverse modifiche e aggiornamenti nel corso degli anni ho provveduto anche a realizzare la versione che mostra i risultati del backtest in quanto l'idea iniziale era quella di seguire una strategia più discrezionale tramite il solo utilizzo dell'indicatore, ma è sicuramente utile avere già un idea, una panoramica dei mercati e timeframe in cui la strategia performa al meglio e su cui decidere di operare.
I risultati del backtest ovviamente non sono garanzie di guadagni futuri, quindi non mi assumo responsabilità riguardo l'utilizzo di questa strategia.
La strategia serve per dare un idea di profittabilità, i risultati ottenuti devono servire solo come idea generale che in quel mercato la strategia ha funzionato.
Fatta questa premessa, all'interno della strategia troverai tutto ciò che contiene normalmente LuBot, con l'aggiunta dei campi per attivare anche il bot automatico.
Nelle impostazioni troverai quindi 4 finestre in cui inserire i messaggi per attivare il bot per il trading automatico.
All'interno della prima finestra ho già inserito le istruzioni per avviare il bot automatico.
Se vuoi che il bot esegua solo le operazioni Long, imposta la strategia su "Long Only", inserisci il messaggio di apertura del trade e il messaggio di chiusura del trade solo nelle 2 finestre dedicate ai trade Long.
Inserisci il webhook, attiva l'alert "any alert function" e il bot è attivo.
La strategia opera alla chiusura della candela sia per l'entrata che per l'uscita.
I livelli di Take Profit e Stop Loss sono automatici di default e si aggiornano su ogni candela cercando l'uscita ideale sia in guadagno che in perdita.
Nell'ultimo aggiornamento è stato introdotta l'etichetta che mostra se in quel trigger ci sono segnali di Price Action o di ulteriore forza del segnale.
CONCLUSIONE
Ho iniziato a lavorare sull'indicatore LuBot nel 2019 quando capii che non ero fatto per tradare su timeframe frenetici in quanto mi portavano solo a perdere soldi.
Quindi ho iniziato a studiare i timeframe più alti (4h, Daily, Weekly) e ho capito che la migliore strategia è quella dell'inseguimento del trend.
Personalmente quindi cerco i trigger sul 4h e vado a controllare se il daily e il weekly sono in tendenza favorevole.
Con le 2 linee orizzontali della struttura D e W puoi vedere da qualsiasi timeframe se la struttura è favorevole.
Se tutto coincide piazzo l'ordine e aspetto.
Non guardo tutto il giorno cosa succede. Ho creato questo indicatore/strategia per stare rilassato.
La sera con calma, anche dal cellulare riesco a vedere facilmente i grafici e capire se aprire o chiudere le posizioni.
Questo era il risultato che volevo ottenere. Fare trading in modo tranquillo e profittevole senza troppe complessità.
Rendiamoci la vita più semplice.
Spero che questa strategia sia di tuo gradimento e che sappia apprezzare le sue potenzialità.
Per qualsiasi informazione sono sempre disponibile :)
KRISHNAS GRACEBy far my most successful indicator, result of years of labor.
Works best on nifty 5 min TF.
All MA Cross StrategyTitle: All MA Cross Strategy with TSL, SL & TGT
Description:
This strategy is a fully customizable Moving Average Crossover system with advanced trade management features. It is designed for both novice and professional traders to test and automate MA-based strategies on TradingView charts.
Features:
= Supports multiple MA types: SMA, EMA, WMA, RMA, HMA, DEMA, TEMA
= Flexible MA sources: open, high, low, close, hl2, hlc3, ohlc4, or volume
= Optional 2nd candle confirmation for more reliable entries
= Configurable position sizing: Fixed, Decimal, or Exposure-based
= Trailing Stop Loss (TSL) options: ATR, Adaptive ATR, EMA, Supertrend, % or Pips
= Configurable Stop Loss (SL) and Target (TGT) in %, Points, or Pips
= Dynamic ATR-based trailing stop adapts to market volatility
Visual plots for:
Buy/Sell signals
Entry price
SL, TGT, and TSL levels
How it works:
Generates long signals when the fast MA crosses above the slow MA
Generates short signals when the fast MA crosses below the slow MA
Optional second candle confirmation ensures more reliable entries
TSL locks in profits dynamically while allowing for trend continuation
SL and TGT provide fixed risk and reward management
Ideal For:
Backtesting and live trading MA crossover strategies
Traders looking for automated trade management with trailing stops and dynamic exits
💡 Tip: Always recommend users to test on paper trading before using real capital.
Volumatic VIDYA + 3S-first-after-trendVolumatic VIDYA • 1R Strategy + Stats + 3S-first-after-trend
The Volumatic VIDYA 1R Strategy is a trend-following breakout system designed to capture clean reversals confirmed by volatility and price action patterns.
It combines Volumetric Variable Index Dynamic Average (VIDYA) smoothing with ATR-based volatility bands to define dynamic market regimes — and then enters only the first high-probability “3 Line Strike” (3S) pattern that appears immediately after a confirmed trend flip.
Once a signal is detected, the strategy executes a 1R fixed-risk trade (Take Profit = Stop Loss distance) to maintain balanced reward-to-risk consistency and support robust compounding.
Core Concept
Detects trend reversal when the price closes beyond the opposite VIDYA band.
Waits for the first 3 Line Strike pattern (bullish or bearish) in the new trend direction.
Enters position on that 3S signal only — “first after flip” logic avoids over-trading in noisy conditions.
Sets SL = opposite band, TP = 1R, with optional 1-bar delay for realistic execution alignment.
Included Features
Adaptive VIDYA smoothing based on momentum and volatility.
ATR-based dynamic channel and automatic trend state visualization.
Built-in performance dashboard showing:
Win / Draw / Loss counts over last N trades
Win rate %, average P&L
Losing streak statistics (≥5, ≥6, ≥7 losses)
Fully backtestable and customizable parameters (lengths, ATR distance, lookback stats, etc.)
Usage Notes
Works best on volatile assets like XAUUSD, indices, or crypto, especially on M1–M15 timeframes.
Recommended for trend continuation traders seeking structured 1R setups with transparent statistics.
Can be optimized for smoother or faster VIDYA response depending on the instrument.
MSB Trend Breakout Strategy**MSB Trend Breakout Strategy **
This is the full, **robust** strategy designed specifically for trading Gold (XAUUSD). It uses a proprietary, rules-based system to confirm **verified** trend continuation following a breakout signal.
The strategy's primary strength lies in its **reliable risk management** and low exposure to volatile market swings.
**Performance Highlights (Based on Backtest):**
* **Asset:** XAUUSD (Optimized for 15m Timeframe).
* **Profit Factor:** Achieves a **strong Profit Factor (up to 3.234 PF)**, confirming high return efficiency over risk.
* **Max Drawdown:** Exhibits an **exceptionally low Max Drawdown (e.g., only 4.17% in the 2024-2025 backtest)**, proving reliable capital protection.
**Core System Logic (High-Level):**
1. **Strict Trend Confirmation:** Uses a filtered Moving Average to ensure entries are only taken in the direction of the dominant trend.
2. **Breakout Detection:** Identifies momentum shifts when price clears a short-term resistance/support range.
3. **Risk Structure:** Utilizes a fixed **1:2 Risk/Reward Ratio** to maximize returns on successful trades.
---
**Important Note & Access Request:**
This strategy is published under **Invite-only** protection. The source code is hidden, and the performance shown here is for informational purposes only. Past performance is not indicative of future results.
**To request access to this strategy, please follow the instructions in the 'Author's instructions' field.**
TSI.LTA | Evol BTC 12hrs🧠 TSI.LTA | Evol BTC 12hrs
Within this 2023 → 2025 cycle, the strategy achieved +714.90 % total return versus +510.78 % in Buy & Hold , while limiting its maximum drawdown to just 9.67 % vs 29.69 % in Buy & Hold .
This gap is not only mathematical — it is a psychological edge: enduring a single‑digit drawdown means maintaining patience and clarity, free from the emotional stress that destroys discipline in volatile markets.
“The key is to limit your losses; let your profits take care of themselves.” — Mark Minervini
In our Evol versions , the equity line remains consistently above Buy & Hold during the selected period and especially through the current bull run (starting 2023), a clear indicator of its efficient trend capture and AI‑driven risk architecture.
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📈 Overview
Built upon the foundation of TSI.LTA |Base BTC 1D , this Evol edition expands the logic with proprietary volume filters developed by TSI.LTA .
These filters enhance Buy/Sell selectivity, reduce trade frequency, minimize equity volatility, and consistently increase both profitability and risk efficiency.
Each entry is validated at candle close — ⚡ no repainting — making it reliable for alerts, automation, and backtesting integrity.
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📊 Performance & HUD (Current Cycle 2023‑01‑01 → 2025‑11‑07)
💹 Strategy P&L: +714.90%
📉 Max Drawdown: 9.67%
🏆 Profitable Trades: ≈90.9% (10/11)
📈 Profit Factor: 25.5
💵 Starting / Ending Equity: $1,000 → $8,149.07
Buy & Hold Comparisons 📊:
🔹 1T View: +510.78% | Max DD 29.69%
🔹 0T View: +536.47% | Max DD 29.69%
💡 The HUD illustrates how Evol BTC 12hrs outperforms Buy & Hold with more than double the risk‑adjusted return, supported by stable equity and minimal volatility throughout the bull cycle.
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⚙️ Engine Parameters & Risk Logic
The Evol core retains Base risk architecture while enhancing impact through volume filters and trend precision:
🔹 Stop Loss (%): 6–8 recommended.
🔹 Take Profit (%): configurable target locking.
🔹 Trailing Stop (%): adaptive 6‑10 with lower TF peak tracking.
The engine structure remains anchored but is now boosted with adaptive volume confirmation to enhance signal confidence and early exit timing.
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🧭 Philosophy & Cycle Adaptation
Evol BTC 12hrs encapsulates TSI.LTA’s macro strategy philosophy: protect capital, elevate consistency, and control emotion under volatility .
By keeping the equity curve above Buy & Hold and drawdowns below 10 %, it empowers traders to stay objective throughout the cycle.
Psychologically, this means freedom from panic and a clear mind for systematic execution — a core principle in TSI.LTA design.
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🔬 How to Backtest & Explore
🔹Run 2023 → present to examine the current bull phase (ETF flows & volatility expansions).
🔹Run 2019 → present for multi‑cycle consistency validation.
Explore: post‑halving expansions, breakouts, and side‑market accumulations.
🔹 Suggested Toggles:
🔹 Stop Loss: 6–8%
🔹 Trailing Stop: 6–10% (w/ Lower TF Peak)
⚠️ The HUD and equity curve update instantly, allowing precise risk/reward optimization and psychological stability during testing.
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🤖 Automation
Every signal finalizes at candle close — no repainting , ensuring accuracy for live automation and alerts.
Compatible with bridging tools like Signum (non‑affiliated, educational mention only) .
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🔑 Key Characteristics
✅ No Repainting — signals finalize at candle close.
✅ Enhanced Volume Filtering for precision trades.
✅ Volatility‑Adaptive Architecture (DEMA → Gaussian → SMMA + SD).
✅ > 90 % profitable trades within the current bull regime.
✅ Stable Equity Curve — max DD below 10 %.
✅ Automation and HUD ready for visual transparency.
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⚖️ Disclaimer
This strategy is for educational and research purposes only .
Not financial advice.
All performance figures are historical and subject to change with market behavior.
Always backtest thoroughly and use a demo environment before live deployment.
Algomakers BINANCE:ZENUSDT 39m Pro+here what we have to do , i want to test one , i want to test one
TSI.LTA | Base BTC 1D🧠 TSI.LTA | Base BTC 1D
Is a trend‑following strategy for Bitcoin on the 1D timeframe that also performs effectively across other major cryptocurrencies.
It aims to capture primary directional moves while filtering out short‑term noise, prioritizing clarity, consistency , and robust risk management . In other words, maximize profits minimizing draw downs. “The key is to limit your losses; let your profits take care of themselves.” — Mark Minervini
All signals are confirmed at candle close — ⚡ no repainting — making it reliable for alerts, automation, and backtesting integrity.
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📊 Backtesting & What the HUD Shows (default 2019 → present)
The screenshots summarize results from back testing January 2019 → Nov 8th ‘25
The integrated on‑chart HUD (colored header table) displays the key performance metrics at a glance:
💹 Strategy P&L (13,174.95%) — cumulative percentage return over the test range.
📉 Max DD (12.07%) — maximum peak‑to‑trough equity drawdown.
🏆 Profitable Trades (80%) (16/20) — focused and selective, prioritizing quality over quantity. Indicative of stable consistency.
📈 Profit Factor (8.61) — gross profit divided by gross loss; values > 2 signal robustness.
💵 Starting / Ending Equity ($1,000 → $132,745.91) — capital progression through the period.
Buy & Hold Baselines📊:
🔹 1T — Max DD (76.67%): from the first real strategy entry (apples‑to‑apples vs signal exposure, 1 trade).
🔹 0T — Max DD (76.67%): from the test start (classic Buy & Hold, 0 trades).
For both, the HUD displays return (%), USD, and Max DD — making it clear how the strategy outperforms Buy & Hold with much lower drawdowns.
💡 Tip: Enable “ Plot Strategy Equity (cash‑flat, stepline) ” to see the equity rise only when in a position and remain flat in cash – a true performance visualization versus Buy & Hold.
📅 All data corresponds to verified run dated 2025‑11‑08 .
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⚙️ Risk Management Inputs
The strategy includes configurable parameters so traders can fine‑tune risk and reward without changing core logic:
🔹 Enable Stop Loss (%): activates a defensive control. A 6% SL (as in examples) significantly improves profitability while maintaining low drawdowns (~12%).
🔹 Enable Take Profit (%): automatically secures gains at a chosen target.
🔹 Fixed SL/TP Price + Activation Date: absolute control with optional activation date.
🔹 Enable Trailing Stop (%): trailing protection that dynamically follows peaks, with detection on a lower timeframe for better precision.
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🧭 Philosophy
Designed to follow macro trends, reduce emotional trading, and control drawdowns.
As markets approach late‑cycle phases, the emphasis shifts from maximizing every gain to protecting capital and preserving smooth growth.
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🔬 How to Test (Strongly Encouraged)
Run 2019 → present to span the entire modern market cycle (COVID crash, halvings, ETF flow).
Run 2023 → present to study the current bull leg and volatility expansion.
Explore windows like:
🔹Post‑halving expansions
🔹Breakout ranges
🔹Long consolidations
Suggested toggles :
Stop Loss: 6–8%
Trailing Stop: 6–10%
⚠️ The HUD (Draw Tester) and equity curve update instantly, allowing quick return ↔ drawdown trade‑off visualization.
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🤖 Automation
Because signals confirm at candle close and the system does not repaint , it’s automation‑ready for consistent live execution.
It integrates smoothly with third‑party tools like Signum (non‑affiliated, educational mention only).
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🔑 Key Characteristics
✅ No Repainting — signals finalize at candle close.
✅ Trend‑Based Logic — aligned with macro market direction.
✅ Volatility‑Adaptive Filters — (DEMA → Gaussian → SMMA + SD).
✅ Backtest‑Proven Robustness across multiple cycles.
✅ Automation‑Friendly HUD + stepline equity for transparent performance.
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⚖️ Disclaimer
This strategy is for educational and research purposes only — not financial advice.
Users are fully responsible for their own risk inputs (Stop Loss, Take Profit, Trailing Stop, Volume filters).
While a 6% SL has historically reduced drawdown and improved returns, outcomes vary across assets and timeframes.
Always backtest thoroughly and use a demo environment before deploying live capital.
EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)
AYC: Adaptive Volatility Trailing Strategy⚠️ IMPORTANT NOTICE: Do NOT use this strategy on Heikin Ashi charts for backtesting!
This AYC Adaptive Volatility Trailing Strategy is a trend-following system that uses volatility-adjusted trailing stops to capture price movements while managing risk.
📊 Strategy Features:
• Volatility-based dynamic trailing stops
• Automatic position sizing based on market conditions
• Designed for trending markets
⚠️ CRITICAL BACKTESTING WARNING:
Heikin Ashi candles use calculated/averaged prices that do not reflect actual market execution prices. Backtesting on HA charts produces UNREALISTIC and INFLATED results.
✅ Correct Usage:
• Backtest on REGULAR candlestick charts only
• Use HA candles for visual trend identification only
• Real performance will differ significantly from HA backtest results
📈 Use Case:
Best suited for: Bitcoin, trending altcoins, major indices
Timeframes: 1H to 4H recommended
⚠️ The performance shown in backtests using Heikin Ashi charts can be 10-20% higher than reality due to impossible fill prices. Always validate on standard candles before live trading.
EMA 50/200 Pullback + RSI Filter (Single Position)EMA 50/200 Pullback + RSI Filter (Single Position)
5min ORB SICKO ModeThe orb strategy is automated. 5m orb concept is coded into an indicator strategy with multiple settings.
BTC 1h StratUses LuxAlgo-style Support/Resistance levels (pivot-based, with volume break labels).
Adds momentum confirmation (RSI + MACD) to filter fakeouts.Keeps your swing breakout logic (close above swing high / below swing low).
Includes liquidity and TP/SL risk management.
HMA Envelope BUY & SELL Strategy (Non-Repainting BY RAVI KHADSE)Done — I put the HMA Envelope BUY & SELL Strategy (Non-Repainting) script into the canvas as a code file.
Open the canvas document titled HMA Envelope BUY & SELL Strategy (Non-Repainting) to copy the Pine Script into TradingView.
MULTI time FRAME/session filter, different entry logic, alerts,
Kronos Scalper (RAVINDRA KHADSE) 11.11.2025Nice — below is a ready-to-copy TradingView Pine Script (v5) strategy named “Kronos Scalper”.
It’s a self-contained scalping strategy (non-repainting) with configurable EMAs trend filter, RSI entry filter, ATR-based stop loss / take profit, optional trailing stop, plots and entry/exit labels. Drop it into TradingView’s Pine editor and Add to Chart → Strategy Tester.
Dhanesh_CustomTrendlineLogicUsed framma in getting the trades.
You can also define the custom horizontal and an inclined trendline breaking of which can trigger the trade. Enjoy the script.
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.
EMA Breakout Algo StrategyA volatility‑based breakout strategy using EMA alignment and ATR filters for risk‑managed entries and exits.
ADX + Envelope AutoOptimizer MTF Analyzer🔹 ADX + Envelope AutoOptimizer v8.1
Smart hybrid system combining ADX trend strength and Envelope volatility for dynamic optimization and performance tracking.
Features:
Auto-optimizer (3×3×3 grid: Length, Percent, ADX Threshold)
MTF Analyzer (30m → 1D) with color-coded stats
Real-time self-calculated metrics: Net Profit, Win Rate, Profit Factor
Automatic Buy/Sell/Short/Cover signals
Highlighted best timeframe (green background)
Fully dynamic, no repaint, multi-market compatible
Profit Factor Colors:
> 🟢 >2.0 Excellent 🟩 1.5–2.0 Good 🟡 1.0–1.5 Moderate 🔴 <1.0 Weak
Note:
This tool is designed for analytical and educational purposes only — not financial advice.
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 :






















