Black Fridayעד 80% הנחה

אינדיקטורים ואסטרטגיות

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.
אסטרטגיית Pine Script®
מאת ‎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.
אסטרטגיית Pine Script®
מאת ‎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.
אסטרטגיית Pine Script®
מאת ‎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.
אסטרטגיית Pine Script®
מאת ‎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.
אסטרטגיית Pine Script®
מאת ‎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 :
אסטרטגיית Pine Script®
מאת ‎TFlab‎
18
Morning Straddle Backtest + Range Filter Morning Straddle Backtest Purpose: This script tests a Morning Straddle concept where a trader enters both long and short breakout orders based on the overnight range (22:00–06:00 by default). It is designed for backtesting the effectiveness of volatility breakouts following low-volume overnight sessions. Setup Overnight session: 22:00–06:00 (adjustable). At the end of the overnight session, the script automatically places: A long stop order above the range high. A short stop order below the range low. Both use an ATR-based buffer for cleaner breakouts (default 5%). When one side triggers, the opposite order is cancelled if OCO mode is active. Adjustable Parameters - Session - Defines the overnight hours used for the range. - ATR Length - Number of bars used for ATR calculation. - ATR Buffer % - Distance above/below range for entry & stop placement. - Risk:Reward Ratio - Determines the TP distance relative to SL. - Stop-Loss - Choose between “Behind Range” or “Mid-Range (50%)” with ATR buffer added. - OCO - Cancels opposite order once one side triggers. - Close All EOD - Closes all open trades at the end of day (default 22:00). - Range Filter – Enables filtering of trades only when the overnight range size falls within a defined threshold. -Min Range / Max Range – Define acceptable range size boundaries. -Display Units – Select whether the filter is measured in Price Change, Pips, or Points. - Stats Panel Settings – Toggle visibility, position (Top/Bottom Left/Right), and background opacity. Visual The overnight range (22:00–06:00) is highlighted on the chart with a teal background for clarity. No lines are drawn for the high and low. Strategy Notes Works best on 5m or 15m charts where the overnight range can be clearly defined. Backtests should be run over multiple months to gauge performance consistency. Can be adapted for other markets by adjusting session times and ATR settings. For example, S&P initial balance breakout using 14:30-15:30 range time. Stats Panel Displays - 20-Day Range Data: Maximum, Average, and Minimum range sizes. - Today’s Range: With automatic classification — Huge, Normal, or Small. - Average Winning Range: Average size of the overnight range on profitable days. - Average Losing Range: Average size of the overnight range on losing days. - Filter Status: Displays whether the range met the filter criteria — Range OK, Skipped, or Off.
אסטרטגיית Pine Script®
מאת ‎ElGore18‎
EMA Cross + RSI + ADX - Autotrade Strategy V2Overview A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals. Key Features Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options) Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional) Automated Risk Management: 2% stop loss with wick-touch detection Position Auto-Reversal: Opposite signals automatically close and reverse positions Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short) Performance Metrics NIFTY Futures (15min): 50%+ win rate with ADX filter OFF Crypto Markets: Requires extensive backtesting before live deployment Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes) Strategy Logic Entry Signals: LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled) SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled) Exit Signals: Opposite EMA crossover (auto-closes current position) Stop loss hit at 2% from entry price (tracks candle wicks) Technical Indicators: Fast EMA: 9-period (short-term trend) Slow EMA: 21-period (primary trend) RSI: 14-period with 55/45 thresholds (momentum confirmation) ADX: 14-period with 20 threshold (trend strength filter - optional) Market-Specific Settings Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options) Recommended Settings: ADX Filter: Turn OFF (less choppy, cleaner trends) Timeframe: 15-minute chart Win Rate: 50%+ on NIFTY Futures Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary Cryptocurrency Markets (BTC, ETH, Altcoins) Recommended Settings: ADX Filter: Turn ON (ADX > 20) Timeframe: 15-minute to 1-hour Extensive backtesting required before live trading Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop Best Practices ✅ Backtest thoroughly on your specific instrument and timeframe ✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward ✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger) ✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto ✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price ✅ Paper trade first - test for 2-4 weeks before risking real capital Risk Management Fixed 2% stop loss per trade (adjustable) Stop loss tracks candle wicks for accurate execution Positions auto-reverse on opposite signals (no manual intervention needed) 0.075% commission built into backtest (adjust for your broker) Customization Options All parameters are adjustable via inputs: EMA periods (default: 9/21) RSI length and thresholds (default: 14-period, 55/45 levels) ADX length and threshold (default: 14-period, 20 threshold) Stop loss percentage (default: 2%) Webhook Automation This strategy includes six distinct alert messages for automated trading: "Entry Buy" - Long position opened "Entry Sell" - Short position opened "Close Long" - Long position closed on opposite crossover "Close Short" - Short position closed on opposite crossover "SL Hit Long" - Long stop loss triggered "SL Hit Short" - Short stop loss triggered Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms. Important Notes ⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets ⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals ⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto ⚠️ Not financial advice - always conduct your own research and use proper risk management ⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions Disclaimer This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
אסטרטגיית Pine Script®
מאת ‎varuns_back‎
5
XAU/USD Weekly Volatility Strategy by WeTradeAIWeTradeAI - XAU/USD Weekly Volatility Strategy This strategy is designed for Gold (XAU/USD) trading, leveraging a weekly market structure and volatility projection model. It dynamically identifies high-probability zones based on the prior week’s price action and adapts to intraday movement. 🔍 Core Logic: Weekly High, Low & Midpoint: Defines structural balance for directional bias. Projected Volatility Zones: Green Zone: Upward projection from last week’s low. Red Zone: Downward projection from last week’s high. Half-Volatility Lines: Act as breakout or reversal triggers. Monday Open: Serves as a temporary directional reference until midweek. Daily High, Low, and Mid: Used for intraday stop-loss placement and validation. 🎯 Trade Entries: Breakout Entries: Triggered when price breaks and holds above/below the Half-Vol levels. Reversal Entries: Triggered by strong rejections near outer zones, reverting back toward equilibrium. 🛡️ Risk Management: Dynamic Stop-Loss: Based on the previous day’s midpoint. ⏱️ Multi-Timeframe Usage: 4H – Weekly structure & context 1H – Trend alignment 15M – Precision entries
אסטרטגיית Pine Script®
מאת ‎barbaramspereira81‎