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Trio Strategy w EMA Timing Gate, Early Flip, Clouds and Cross AlMomentum Trio Strategy w EMA Timing Gate, Early Flip, Clouds and Cross Alerts Short title: Trio EMA Strategy Concept and Originality This strategy merges three momentum systems – StochRSI, RSI EMA, and MACD – into one coordinated Trio. It triggers possible entries only (no exits) when all three align within user-defined windows, with an EMA timing gate for precision and an optional early flip feature if the EMA crosses first. Optional cooldown and filters reduce false signals. It also shows green and purple markers when all three momentum indicators cross together, and provides alert notifications on every individual and trio crossover event. StochRSI-based clouds highlight overbought and oversold areas for quick visual context. Each part has a defined role: Trio alignment ensures multi-indicator confirmation. EMA gate refines timing and enables early trend flips. Cooldown reduces overtrading. Filters check price, trend, and volume quality. Clouds visualize momentum extremes. Markers show where the Trio crosses. Alerts notify on all key momentum events. How It Works Trio confirmation (core): StochRSI – percent K and D cross within stochGroupWindow. RSI – RSI crossing its EMA. MACD – line crossing signal within macdGroupWindow. When all three cross up, a green marker appears. When all three cross down, a purple marker appears. These mark potential entry points only. Exits are not included. EMA timing gate: EMA(5) and EMA(9) define short-term trend. Longs: EMA(5) greater than EMA(9). Shorts: EMA(5) less than EMA(9). Early Flip: when EMA crosses before the trio, a one-time flip can trigger after the chosen cooldown. Cooldown prevents multiple entries in choppy markets. Filters include: Price Filter – restricts entries relative to EMA. Trend Filter – aligns trades with a longer EMA. Volume Filter – checks for rising volume. Overbought and Oversold Clouds: Red cloud when StochRSI is greater or equal to 80 (overbought). Green cloud when StochRSI is less or equal to 20 (oversold). Clouds are for context only, not trade signals. Alerts trigger on every Trio signal and each individual crossover for StochRSI, RSI, and MACD. Inputs You Can Tune RSI, StochRSI, and MACD periods and windows. EMA gate lengths. Early-flip toggle and cooldown. Trio cooldowns. Filters for price, trend, and volume. Marker visibility (green and purple). Overbought or oversold cloud display. Alert toggles for all cross types. How To Use 1. Apply to any liquid market such as stocks, crypto, or forex. 2. Choose timeframe. 3. Keep default settings first, then fine-tune windows or cooldowns. 4. Use clouds and markers for entry guidance only. Exits are manual or from another strategy. 5. Enable alerts for real-time notifications of indicator and Trio crosses. Default Properties Used for Publication (Backtest Transparency) Initial capital: 100,000 USD – necessary for stock testing so one percent sizing produces realistic order size. Order size: one percent of equity per trade to keep risk small. Commission: 0.10 percent per side, realistic for brokers and exchanges. Slippage: 0.05 percent, equal to roughly one to two ticks on stocks. Pyramiding: 0. Execution: on close. Sample dataset: at least 100 trades across multiple timeframes and markets. The higher initial capital ensures valid fills for stock testing, while risk stays proportional since position size is percentage based. Why These Components Work Together Trio confluence confirms momentum alignment. EMA gate refines entry timing and allows early reversals. Cooldown and filters reduce false triggers. Markers confirm when all three indicators cross together. Clouds and alerts improve awareness and reaction speed. The result is a robust entry-only framework that adapts to many markets. Notes and Limitations Focused on entry detection only. Exits are manual or external. For educational use only, not financial advice. Always test with realistic slippage, fees, and several symbols. Past results do not guarantee future performance. Attribution All logic and structure are original to this publication. Common Pine functions follow official Pine documentation.
Strategi Pine Script®
oleh FridaNight
Kev's RSI2 SMA50 Strategy⭐ Kev’s RSI2 SMA50 Strategy — Institutional Edition (TSX Optimized + RR Filter) A professional swing-trading system based on Larry Connors’ RSI(2) mean-reversion framework, optimized for TSX equities. Designed for Daily timeframe trading with institutional trend alignment, volatility filtering, and strict risk-reward controls. 📌 Overview This strategy enhances the classic RSI(2) setup with: • Strong trend confirmation (SMA50 + Weekly SMA50) • Deep pullback detection (RSI2 < 3) • Structural swing-based stop-loss • Fixed 2R profit target (non-repainting) • Optional Connors RSI (CRSI) confirmation • Volatility filtering via ATR range • Mechanical, deterministic, no-discretion rules Works best on TSX large & mid-caps, ETFs, and liquid equities. 🔍 Core Philosophy Buy strong stocks on pullbacks → Price must be above SMA50 + Weekly SMA50. Pullback must be statistically meaningful → RSI(2) < 3. R:R must justify the trade → Swing-low SL + 2R target with structural room to hit TP. 🧠 Entry Conditions (Non-Repainting) • RSI(2) < 3 → Identifies extreme short-term oversold dips. • SMA50 Filter → Ensures uptrend alignment. • Weekly HTF Filter (Default = 1W) → Confirms broader trend direction. • ATR Filter → Rejects volatile bars (range < ATR(14) × 2.2). • Optional: – SMA50 Slope (positive trend strength) – Bullish Reversal Candle – Connors RSI < 20 (deep pullback confirmation) 🎯 Risk Management All levels are locked at entry and never repaint. • Swing-Low SL (last 5 bars) • 2R Profit Target = Entry + (Risk × 2) • R:R Feasibility Filter → Only enters if recent swing high is above TP. • Optional RSI Exit → Exit when RSI2 > 90 (enabled by default). • Optional SMA Exit (disabled by default) → Conservative early exit. 📈 Visuals The script plots: • SMA50 • Weekly SMA50 • Swing-Low SL (fixed) • 2R TP (fixed) • Optional SMA exit line All are non-repainting and update only on confirmed bars. 🔔 Alerts Buy Signal → All entry filters aligned (RSI2, SMA50, HTF, ATR, RR check). Exit Signal → 2R hit, SL hit, RSI exit, or SMA exit (if enabled). 🧭 Recommended Usage • Timeframe: Daily • HTF: Weekly (default) • Best For: TSX equities, mid/large-cap stocks, ETFs • Style: Short-term swing trading (1–10 bars) • Avoid: Low-volume tickers, microcaps, crypto, biotech, news-driven spikes. 🛑 Notes • All HTF data uses lookahead_off → non-repainting. • Rules are fully mechanical and deterministic. • Position sizing uses % equity by default. • This script is for educational purposes only and not financial advice. • Always forward-test before using live capital.
Strategi Pine Script®
oleh SwingTraderKev
ATH대비 지정하락률에 도착 시 매수 - 장기홀딩 선물 전략(ATH Drawdown Re-Buy Long Only)본 스크립트는 과거 하락 데이터를 이용하여, 정해진 하락 %가 발생하는 경우 자기 자본의 정해진 %만큼을 진입하게 설계되어진 스트레티지입니다. 레버리지를 사용할 수 있으며 기본적으로 셋팅해둔 값이 내장되어있습니다.(자유롭게 바꿔서 쓰시면 됩니다.) 추가적으로 2번의 진입 외에도 다른 진입 기준, 진입 %를 설정하실 수 있으며 - ChatGPT에게 요청하면 수정해줄 것입니다. 실제 사용용도로는 KillSwitch 기능을 꺼주세요. 바 돋보기 기능을 켜주세요. ATH Drawdown Re-Buy Long Only 전략 설명 1. 전략 개요 ATH Drawdown Re-Buy Long Only 전략은 자산의 역대 최고가(ATH, All-Time High)를 기준으로 한 하락폭(드로우다운)을 활용하여, 특정 구간마다 단계적으로 롱 포지션을 구축하는 자동 재매수(Long Only) 전략입니다. 본 전략은 다음과 같은 목적을 가지고 설계되었습니다. 급격한 조정 구간에서 체계적인 분할 매수 및 레버리지 활용 ATH를 기준으로 한 명확한 진입 규칙 제공 실시간으로 평단가 레버리지 청산가 추정 계좌 MDD 수익률 등을 시각적으로 제공하여 리스크와 포지션 상태를 직관적으로 확인할 수 있도록 지원 ※ 본 전략은 교육·연구·백테스트 용도로 제공되며, 어떠한 형태의 투자 권유 또는 수익을 보장하지 않습니다. 2. 전략의 핵심 개념 2-1. ATH(역대 최고가) 기준 드로우다운 전략은 차트 상에서 항상 가장 높은 고가(High)를 ATH로 기록합니다. 새로운 고점이 형성될 때마다 ATH를 갱신하고, 해당 ATH를 기준으로 다음을 계산합니다. 현재 바의 저가(Low)가 ATH에서 몇 % 하락했는지 현재 바의 종가(Close)가 ATH에서 몇 % 하락했는지 그리고 사전에 설정한 두 개의 드로우다운 구간에서 매수를 수행합니다. 1차 진입 구간: ATH 대비 X% 하락 시 2차 진입 구간: ATH 대비 Y% 하락 시 각 구간은 ATH가 새로 갱신될 때마다 한 번씩만 작동하며, 새로운 ATH가 생성되면 다시 “1차 / 2차 진입 가능 상태”로 초기화됩니다. 2-2. 첫 포지션 100% / 300% 특수 규칙 이 전략의 중요한 특징은 **“첫 포지션 진입 시의 예외 규칙”**입니다. 전략이 현재 어떠한 포지션도 들고 있지 않은 상태에서 최초로 롱 포지션을 진입하는 시점(첫 포지션)에 대해: 기본적으로는 **자산의 100%**를 기준으로 포지션을 구축하지만, 만약 그 순간의 가격이 ATH 대비 설정값 이상(예: 약 –72.5% 이상 하락한 상황) 이라면 → 자산의 300% 규모로 첫 포지션을 진입하도록 설계되어 있습니다. 이 규칙은 다음과 같이 동작합니다. 첫 진입이 1차 드로우다운 구간에서 발생하든, 첫 진입이 2차 드로우다운 구간에서 발생하든, 현재 하락폭이 설정된 기준 이상(예: –72.5% 이상) 이라면 → “이 정도 하락이면 첫 진입부터 더 공격적으로 들어간다”는 의미로 300% 규모로 진입 그 이하의 하락폭이라면 → 첫 진입은 100% 규모로 제한 즉, 전략은 다음 두 가지 모드로 동작합니다. 일반적인 상황의 첫 진입: 자산의 100% 심각한 드로우다운 구간에서의 첫 진입: 자산의 300% 이 특수 규칙은 깊은 하락에서는 공격적으로, 평소에는 상대적으로 보수적으로 진입하도록 설계된 것입니다. 3. 전략 동작 구조 3-1. 매수 조건 차트 상 High 기준으로 ATH를 추적합니다. 각 바마다 해당 ATH에서의 하락률을 계산합니다. 사용자가 설정한 두 개의 드로우다운 구간(예시): 1차 구간: 예를 들어 ATH – 50% 2차 구간: 예를 들어 ATH – 72.5% 각 구간에 대해 다음과 같은 조건을 확인합니다. “이번 ATH 구간에서 아직 해당 구간 매수를 한 적이 없는 상태”이고, 현재 바의 저가(Low)가 해당 구간 가격 이하를 찍는 순간 → 해당 바에서 매수 조건 충족으로 간주 실제 주문은: 해당 구간 가격에 맞춰 롱 포지션 진입(리밋/시장가 기반 시뮬레이션) 으로 처리됩니다. 3-2. ATH 갱신과 진입 기회 리셋 차트 상에서 새로운 고점(High)이 기존 ATH를 넘어서는 순간, ATH가 갱신되고, 1차 / 2차 진입 여부를 나타내는 내부 플래그가 초기화됩니다. 이를 통해, 시장이 새로운 고점을 돌파해 나갈 때마다, 해당 구간에서 다시 한 번씩 1차·2차 드로우다운 진입 기회를 갖게 됩니다. 4. 포지션 사이징 및 레버리지 4-1. 계좌 자산(Equity) 기준 포지션 크기 결정 전략은 현재 계좌 자산을 다음과 같이 정의하여 사용합니다. 현재 자산 = 초기 자본 + 실현 손익 + 미실현 손익 각 진입 구간에서의 포지션 가치는 다음과 같이 결정됩니다. 1차 진입 구간: “자산의 몇 %를 사용할지”를 설정값으로 입력 설정된 퍼센트를 계좌 자산에 곱한 뒤, 다시 전략 내 레버리지 배수(Leverage) 를 곱하여 실제 포지션 가치를 계산 2차 진입 구간: 동일한 방식으로, 독립된 퍼센트 설정값을 사용 즉, 포지션 가치는 다음과 같이 계산됩니다. 포지션 가치 = 현재 자산 × (해당 구간 설정 % / 100) × 레버리지 배수 그리고 이를 해당 구간의 진입 가격으로 나누어 실제 수량(토큰 단위) 를 산출합니다. 4-2. 첫 포지션의 예외 처리 (100% / 300%) 첫 포지션에 대해서는 위의 일반적인 퍼센트 설정 대신, 다음과 같은 고정 비율이 사용됩니다. 기본: 자산의 100% 규모로 첫 포지션 진입 단, 진입 시점의 ATH 대비 하락률이 설정값 이상(예: –72.5% 이상) 일 경우 → 자산의 300% 규모로 첫 포지션 진입 이때 역시 다음 공식을 사용합니다. 포지션 가치 = 현재 자산 × (100% 또는 300%) × 레버리지 그리고 이를 가격으로 나누어 실제 진입 수량을 계산합니다. 이 규칙은: 첫 진입이 1차 구간이든 2차 구간이든 동일하게 적용되며, “충분히 깊은 하락 구간에서는 첫 진입부터 더 크게, 평소에는 비교적 보수적으로” 라는 운용 철학을 반영합니다. 4-3. 실레버리지(Real Leverage)의 추적 전략은 각 바 단위로 다음을 추적합니다. 바가 시작할 때의 기존 포지션 크기 해당 바에서 새로 진입한 수량 이를 바탕으로, 진입이 발생한 시점에 다음을 계산합니다. 실제 레버리지 = (포지션 가치 / 현재 자산) 그리고 차트 상에 예를 들어: Lev 2.53x 와 같은 형식의 레이블로 표시합니다. 이를 통해, 매수 시점마다 실제 계좌 레버리지가 어느 정도였는지를 직관적으로 확인할 수 있습니다. 5. 시각화 및 모니터링 요소 5-1. 차트 상 시각 요소 전략은 차트 위에 다음과 같은 정보를 직접 표시합니다. ATH 라인 High 기준으로 계산된 역대 최고가를 주황색 선으로 표시 평단가(평균 진입가) 라인 현재 보유 포지션이 있을 때, 해당 포지션의 평균 진입가를 노란색 선으로 표시 추정 청산가(고정형 청산가) 라인 포지션 수량이 변화하는 시점을 감지하여, 당시의 평단가와 실제 레버리지를 이용해 근사적인 청산가를 계산 이를 빨간색 선으로 차트에 고정 표시 포지션이 없거나 레버리지가 1배 이하인 경우에는 청산가 라인을 제거 매수 마커 및 레이블 1차/2차 매수 조건이 충족될 때마다 해당 지점에 매수 마커를 표시 "Buy XX% @ 가격", "Lev XXx" 형태의 라벨로 진입 비율과 당시 레버리지를 함께 시각화 레이블의 위치는 설정에서 선택 가능: 바 아래 (Below Bar) 바 위 (Above Bar) 실제 가격 위치 (At Price) 5-2. 우측 상단 정보 테이블 차트 우측 상단에는 현재 계좌·포지션 상태를 요약한 정보 테이블이 표시됩니다. 대표적으로 다음 항목들이 포함됩니다. Pos Qty (Token) 현재 보유 중인 포지션 수량(토큰 기준, 절대값 기준) Pos Value (USDT) 현재 포지션의 시장 가치 (수량 × 현재 가격) Leverage (Now) 현재 실레버리지 (포지션 가치 / 현재 자산) DD from ATH (%) 현재 가격 기준, 최근 ATH에서의 하락률(%) Avg Entry 현재 포지션의 평균 진입 가격 PnL (%) 현재 포지션 기준 미실현 손익률(%) Max DD (Equity %) 전략 전체 기간 동안 기록된 계좌 기준 최대 손실(MDD, Max Drawdown) Last Entry Price 가장 최근에 포지션을 추가로 진입한 직후의 평균 진입 가격 Last Entry Lev 위 “Last Entry Price” 시점에서의 실레버리지 Liq Price (Fixed) 위에서 설명한 고정형 추정 청산가 Return from Start (%) 전략 시작 시점(초기 자본) 대비 현재 계좌 자산의 총 수익률(%) 이 테이블을 통해 사용자는: 현재 계좌와 포지션의 상태 리스크 수준 누적 성과 를 직관적으로 파악할 수 있습니다. 6. 시간 필터 및 라벨 옵션 6-1. 전략 동작 기간 설정 전략은 옵션으로 특정 기간에만 전략을 동작시키는 시간 필터를 제공합니다. “Use Date Range” 옵션을 활성화하면: 시작 시각과 종료 시각을 지정하여 해당 구간에 한해서만 매매가 발생하도록 제한 옵션을 비활성화하면: 전략은 전체 차트 구간에서 자유롭게 동작 6-2. 진입 라벨 위치 설정 사용자는 매수/레버리지 라벨의 위치를 선택할 수 있습니다. 바 아래 (Below Bar) 바 위 (Above Bar) 실제 가격 위치 (At Price) 이를 통해 개인 취향 및 차트 가독성에 맞추어 시각화 방식을 유연하게 조정할 수 있습니다. 7. 활용 대상 및 사용 예시 본 전략은 다음과 같은 목적에 적합합니다. 현물 또는 선물 롱 포지션 기준 장기·스윙 관점 추매 전략 백테스트 “고점 대비 하락률”을 기준으로 한 규칙 기반 운용 아이디어 검증 레버리지 사용 시 계좌 레버리지·청산가·MDD를 동시에 모니터링하고자 하는 경우 특정 자산에 대해 “새로운 고점이 형성될 때마다 일정한 규칙으로 깊은 조정 구간에서만 분할 진입하고자 할 때” 실거래에 그대로 적용하기보다는, 전략 아이디어 검증 및 리스크 프로파일 분석, 자신의 성향에 맞는 파라미터 탐색 용도로 사용하는 것을 권장합니다. 8. 한계 및 유의사항 백테스트 결과는 미래 성과를 보장하지 않습니다. 과거 데이터에 기반한 시뮬레이션일 뿐이며, 실제 시장에서는 유동성 슬리피지 수수료 체계 강제청산 규칙 등 다양한 변수가 존재합니다. 청산가는 단순화된 공식에 따른 추정치입니다. 거래소별 실제 청산 규칙, 유지 증거금, 수수료, 펀딩비 등은 본 전략의 계산과 다를 수 있으며, 청산가 추정 라인은 참고용 지표일 뿐입니다. 레버리지 및 진입 비율 설정에 따라 손실 폭이 매우 커질 수 있습니다. 특히 **“첫 포지션 300% 진입”**과 같이 매우 공격적인 설정은 시장 급락 시 계좌 손실과 청산 리스크를 크게 증가시킬 수 있으므로 신중한 검토가 필요합니다. 실거래 연동 시에는 별도의 리스크 관리가 필수입니다. 개별 손절 기준 포지션 상한선 전체 포트폴리오 내 비중 관리 등 본 전략 외부에서 추가적인 안전장치가 필요합니다. 9. 결론 ATH Drawdown Re-Buy Long Only 전략은 단순한 “저가 매수”를 넘어서, ATH 기준으로 드로우다운을 구조적으로 활용하고, 첫 포지션에 대한 **특수 규칙(100% / 300%)**을 적용하며, 레버리지·청산가·MDD·수익률을 통합적으로 시각화함으로써, 하락 구간에서의 규칙 기반 롱 포지션 구축과 리스크 모니터링을 동시에 지원하는 전략입니다. 사용자는 본 전략을 통해: 자신의 시장 관점과 리스크 허용 범위에 맞는 드로우다운 구간 진입 비율 레버리지 설정 다양한 시나리오에 대한 백테스트와 분석 을 수행할 수 있습니다. 다시 한 번 강조하지만, 본 전략은 연구·학습·백테스트를 위한 도구이며, 실제 투자 판단과 책임은 전적으로 사용자 본인에게 있습니다. /ENG Version. This script is designed to use historical drawdown data and automatically enter positions when a predefined percentage drop from the all-time high occurs, using a predefined percentage of your account equity. You can use leverage, and default parameter values are provided out of the box (you can freely change them to suit your style). In addition to the two main entry levels, you can add more entry conditions and custom entry percentages – just ask ChatGPT to modify the script. For actual/live usage, please turn OFF the KillSwitch function and turn ON the Bar Magnifier feature. ATH Drawdown Re-Buy Long Only Strategy 1. Strategy Overview The ATH Drawdown Re-Buy Long Only strategy is an automatic re-buy (Long Only) system that builds long positions step-by-step at specific drawdown levels, based on the asset’s all-time high (ATH) and its subsequent drawdown. This strategy is designed with the following goals: Systematic scaled buying and leverage usage during sharp correction periods Clear, rule-based entry logic using drawdowns from ATH Real-time visualization of: Average entry price Leverage Estimated liquidation price Account MDD (Max Drawdown) Return / performance This allows traders to intuitively monitor both risk and position status. ※ This strategy is provided for educational, research, and backtesting purposes only. It does not constitute investment advice and does not guarantee any profits. 2. Core Concepts 2-1. Drawdown from ATH (All-Time High) On the chart, the strategy always tracks the highest high as the ATH. Whenever a new high is made, ATH is updated, and based on that ATH the following are calculated: How many percent the current bar’s Low is below the ATH How many percent the current bar’s Close is below the ATH Using these, the strategy executes buys at two predefined drawdown zones: 1st entry zone: When price drops X% from ATH 2nd entry zone: When price drops Y% from ATH Each zone is allowed to trigger only once per ATH cycle. When a new ATH is created, the “1st / 2nd entry possible” flags are reset, and new opportunities open up for that ATH leg. 2-2. Special Rule for the First Position (100% / 300%) A key feature of this strategy is the special rule for the very first position. When the strategy currently holds no position and is about to open the first long position: Under normal conditions, it builds the position using 100% of account equity. However, if at that moment the price has dropped by at least a predefined threshold from ATH (e.g. around –72.5% or more), → the strategy will open the first position using 300% of account equity. This rule works as follows: Whether the first entry happens at the 1st drawdown zone or at the 2nd drawdown zone, If the current drawdown from ATH is at or below the threshold (e.g. –72.5% or worse), → the strategy interprets this as “a sufficiently deep crash” and opens the initial position with 300% of equity. If the drawdown is less severe than the threshold, → the first entry is capped at 100% of equity. So the strategy has two modes for the first entry: Normal market conditions: 100% of equity Deep drawdown conditions: 300% of equity This special rule is intended to be aggressive in extremely deep crashes while staying more conservative in normal corrections. 3. Strategy Logic & Execution 3-1. Entry Conditions The strategy tracks the ATH using the High price. For each bar, it calculates the drawdown from ATH. The user defines two drawdown zones, for example: 1st zone: ATH – 50% 2nd zone: ATH – 72.5% For each zone, the strategy checks: If no buy has been executed yet for that zone in the current ATH leg, and If the current bar’s Low touches or falls below that zone’s price level, → That bar is considered to have triggered a buy condition. Order simulation: The strategy simulates entering a long position at that zone’s price level (using a limit/market-like approximation for backtesting). 3-2. ATH Reset & Entry Opportunity Reset When a new High goes above the previous ATH: The ATH is updated to this new high. Internal flags that track whether the 1st and 2nd entries have been used are reset. This means: Each time the market makes a new ATH, The strategy once again has a fresh opportunity to execute 1st and 2nd drawdown entries for that new ATH leg. 4. Position Sizing & Leverage 4-1. Position Size Based on Account Equity The strategy defines current equity as: Current Equity = Initial Capital + Realized PnL + Unrealized PnL For each entry zone, the position value is calculated as follows: The user inputs: “What % of equity to use at this zone” The strategy: Multiplies current equity by that percentage Then multiplies by the strategy’s leverage factor Thus: Position Value = Current Equity × (Zone % / 100) × Leverage Finally, this position value is divided by the entry price to determine the actual position size in tokens. 4-2. Exception for the First Position (100% / 300%) For the very first position (when there is no open position), the strategy does not use the zone % parameters. Instead, it uses fixed ratios: Default: Enter the first position with 100% of equity. If the drawdown from ATH at that moment is greater than or equal to a predefined threshold (e.g. –72.5% or more) → Enter the first position with 300% of equity. The position value is computed as: Position Value = Current Equity × (100% or 300%) × Leverage Then it is divided by the entry price to obtain the token quantity. This rule: Applies regardless of whether the first entry occurs at the 1st zone or 2nd zone. Embeds the philosophy: “In very deep crashes, go much larger on the first entry; otherwise, stay more conservative.” 4-3. Tracking Real Leverage On each bar, the strategy tracks: The existing position size at the start of the bar The newly added size (if any) on that bar When a new entry occurs, it calculates the real leverage at that moment: Real Leverage = (Position Value / Current Equity) This is then displayed on the chart as a label, for example: Lev 2.53x This makes it easy to see the actual leverage level at each entry point. 5. Visualization & Monitoring 5-1. On-Chart Visual Elements The strategy plots the following directly on the chart: ATH Line The all-time high (based on High) is plotted as an orange line. Average Entry Price Line When a position is open, the average entry price of that position is plotted as a yellow line. Estimated Liquidation Price (Fixed) Line The strategy detects when the position size changes. At each size change, it uses the current average entry price and real leverage to compute an approximate liquidation price. This “fixed liquidation price” is then plotted as a red line on the chart. If there is no position, or if leverage is 1x or lower, the liquidation line is removed. Entry Markers & Labels When 1st/2nd entry conditions are met, the strategy: Marks the entry point on the chart. Displays labels such as "Buy XX% @ Price" and "Lev XXx", showing both entry percentage and real leverage at that time. The label placement is configurable: Below Bar Above Bar At Price 5-2. Information Table (Top-Right Panel) In the top-right corner of the chart, the strategy displays a summary table of the current account and position status. It typically includes: Pos Qty (Token) Absolute size of the current position (in tokens) Pos Value (USDT) Market value of the current position (qty × current price) Leverage (Now) Current real leverage (position value / current equity) DD from ATH (%) Current drawdown (%) from the latest ATH, based on current price Avg Entry Average entry price of the current position PnL (%) Unrealized profit/loss (%) of the current position Max DD (Equity %) The maximum equity drawdown (MDD) recorded over the entire backtest period Last Entry Price Average entry price immediately after the most recent add-on entry Last Entry Lev Real leverage at the time of the most recent entry Liq Price (Fixed) The fixed estimated liquidation price described above Return from Start (%) Total return (%) of equity compared to the initial capital Through this table, users can quickly grasp: Current account and position status Current risk level Cumulative performance 6. Time Filters & Label Options 6-1. Strategy Date Range Filter The strategy provides an option to restrict trading to a specific time range. When “Use Date Range” is enabled: You can specify start and end timestamps. The strategy will only execute trades within that range. When this option is disabled: The strategy operates over the entire chart history. 6-2. Entry Label Placement Users can customize where entry/leverage labels are drawn: Below Bar (Below Bar) Above Bar (Above Bar) At the actual price level (At Price) This allows you to adjust visualization according to personal preference and chart readability. 7. Use Cases & Applications This strategy is suitable for the following purposes: Long-term / swing-style re-buy strategies for spot or futures long positions Testing rule-based strategies that rely on “drawdown from ATH” as a main signal Monitoring account leverage, liquidation price, and MDD when using leverage Handling situations where, for a given asset: “Every time a new ATH is formed, you want to wait for deep corrections and enter only at specific drawdown zones” It is generally recommended to use this strategy not as a direct plug-and-play live system, but as a tool for: Strategy idea validation Risk profile analysis Parameter exploration to match your personal risk tolerance and style 8. Limitations & Warnings Backtest results do not guarantee future performance. They are based on historical data only. In live markets, additional factors exist: Liquidity Slippage Fee structures Exchange-specific liquidation rules Funding fees, etc. The liquidation price is only an approximate estimate, derived from a simplified formula. Actual liquidation rules, maintenance margin requirements, fees, and other details differ by exchange. The liquidation line should be treated as a reference indicator, not an exact guarantee. Depending on the configured leverage and entry percentages, losses can be very large. In particular, extremely aggressive settings such as “first position 300% of equity” can greatly increase the risk of large account drawdowns and liquidation during sharp market crashes. Use such settings with extreme caution. For live trading, additional risk management is essential: Your own stop-loss rules Maximum position size limits Portfolio-level exposure controls And other external safety mechanisms beyond this strategy 9. Conclusion The ATH Drawdown Re-Buy Long Only strategy goes beyond simple “buy the dip” logic. It: Systematically utilizes drawdowns from ATH as a structural signal Applies a special first-position rule (100% / 300%) Integrates visualization of leverage, liquidation price, MDD, and returns All of this supports rule-based long position building in drawdown phases and comprehensive risk monitoring. With this strategy, users can: Explore different: Drawdown zones Entry percentages Leverage levels Run various backtests and scenario analyses Better understand the risk/return profile that fits their own market view and risk tolerance Once again, this strategy is intended for research, learning, and backtesting only. All real trading decisions and their consequences are solely the responsibility of the user.
Strategi Pine Script®
oleh White_light_
2
15m ORB + FVG Strategy (ChadAnt)Core Logic The indicator's logic revolves around three main phases: 1. Defining the 15-Minute Opening Range (ORB) The script calculates the highest high (rangeHigh) and lowest low (rangeLow) that occurred during the first 15 minutes of the trading day. This time window is defined by the sessionStr input, which defaults to 0930-0945 (exchange time). The high and low of this range are plotted as small gray dots once the session ends (rangeSet = true). 2. Identifying a Fair Value Gap (FVG) Setup After the 15-minute range is set, the indicator waits for a breakout of either the range high or range low. A "Strict FVG breakout" requires two conditions on the first candle that closes beyond the range: The candle before the breakout candle ( bars ago) must have been inside the range. The breakout candle ( bar ago) must have closed outside the range. A Fair Value Gap (FVG) must form on the most recent three candles (the current bar and the two previous bars). Bullish FVG (Long Setup): The low of the current bar (low) is greater than the high of the bar two periods prior (high ). This FVG represents a price inefficiency that the trade expects to fill. Bearish FVG (Short Setup): The high of the current bar (high) is less than the low of the bar two periods prior (low ). If a valid FVG setup occurs, the indicator marks a pending setup and draws a colored box to highlight the FVG area (Green for Bullish FVG, Red for Bearish FVG). 3. Trade Entry and Management If a pending setup is identified, the trade is structured as a re-entry trade into the FVG zone: Entry Price: Set at the outer boundary of the FVG, which is the low of the current bar for a Long setup, or the high of the current bar for a Short setup. Stop Loss (SL): Set at the opposite boundary of the FVG, which is the low for a Long setup, or the high for a Short setup. The trade is triggered (tradeActive = true) once the price retraces to the pendingEntry level. Risk/Reward (RR) Targets: Three Take Profit (TP) levels are calculated based on the distance between the Entry and Stop Loss: $$\text{Risk} = | \text{Entry} - \text{SL} |$$ $$\text{TP}n = \text{Entry} \pm (\text{Risk} \times \text{RR}n)$$ where $n$ is 1, 2, or 3, corresponding to the input $\text{RR}1$, $\text{RR}2$, and $\text{RR}3$ values (defaults: 1.0, 1.5, and 2.0). Trade Lines: Upon triggering, lines for the Entry, Stop Loss, and three Take Profit levels are drawn on the chart for a specified length (lineLength). A crucial feature is the directional lock (highBroken / lowBroken): If the price breaks a range level (e.g., simpleBrokeHigh) but without a valid FVG setup, the corresponding directional flag (e.g., highBroken) is set to true permanently for the day. This prevents the indicator from looking for any subsequent trade setups in that direction for the rest of the day, suggesting that the initial move, without an FVG, exhausted the opportunity. Open-source script In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules. ChadAnt Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied
Strategi Pine Script®
oleh ChadAnt
SMC MTF + FVG + Trailing TP 100% [FIXED]Component Description Entry Timeframe: H1 Trend Filter: D1 (EMA50 vs EMA200) Trend Filter Only enter BUY orders if EMA50 > EMA200 on D1 (uptrend) Only enter SELL orders if EMA50 < EMA200 (downtrend) Break of Structure (BOS) Identify the previous swing high/low breakout point Order Block (OB) The candle area before BOS is marked with an orange box Fair Value Gap (FVG) Check for the presence of a price gap to confirm Entry Trailing TP Trigger trailing after reaching the desired R (in pips or ATR)
Strategi Pine Script®
oleh SMCFVL
Risk-Managed StrategyRisk-Managed Strategy is a complete algorithmic trading framework that blends multiple technical systems—RSI, MACD, EMA crossover, Bollinger Bands, and SuperTrend—into a unified signal engine. The script dynamically calculates position size based on capital, risk percentage, ATR-based stop loss, and reward-ratio targets. It features: -Multi-indicator signal voting (BUY / SELL / NEUTRAL) - Dynamic capital tracking across trades - Automatic position sizing based on risk amount - Auto-generated Stop Loss and Take Profit using recent highs/lows - On-chart SL, TP, and CMP plotting for clarity This strategy is designed for traders who want a professional, rule-based system that balances accuracy, risk control, and automation. Disclaimer: The information provided is for educational and informational purposes only. It does not constitute financial or investment advice. Trading and investing in stocks involves risk, including the possible loss of capital. Any decisions to buy, sell, or hold securities are the sole responsibility of the reader. Past performance is not indicative of future results. Always do your own research and, if necessary, consult with a licensed financial advisor before making investment decisions.
Strategi Pine Script®
oleh AlphaFox-Traders
黃金5KCompelling Sales Description: Unlock the Treasure of Consistent Profits! Want to know where the market's hidden opportunities lie? Go find them—with our powerful RSI + BB + Channel Automated Trading Strategy! Tired of guessing when to enter or exit trades? Let our advanced algorithm do the heavy lifting for you. This strategy seamlessly combines: RSI (Relative Strength Index) to identify overbought or oversold conditions. Bollinger Bands (BB) to track volatility and pinpoint potential breakouts. Channel Trading to capitalize on trending markets and price boundaries. Fully automated, this system executes trades with precision, eliminating emotional decisions and saving you time. Whether you're a beginner or an experienced trader, this strategy adapts to market shifts to help you stay ahead. Don't just chase profits—unlock the treasure of disciplined, data-driven trading. Ready to transform your trading journey? Contact us for details at: kbocc123@gmail.com Seize the strategy. Secure your success. 🚀
Strategi Pine Script®
oleh winds11
CNN Fear and Greed StrategyAdaptation of the CNN Fear and Greed Index Indicator (Original by EdgeTools) The following changes have been implemented: Put/Call Ratio Data Source: The data source for the Put/Call Ratio has been updated. Bond Data Source: The data sources for the bond components (Safe Haven Demand and Junk Bond Demand) have been updated. Normalization Adjustment: The normalization method has been adjusted to allow the CNN Fear and Greed Index to display over a longer historical period, optimizing it for backtesting purposes. Style Modification: The display style has been modified for a simpler and cleaner appearance. Strategy Logic Addition: Added a new strategy entry condition: index >= 25 AND index crosses over its 5-period Simple Moving Average (SMA), and a corresponding exit condition of holding the position for 252 bars (days). CNN Fear & Greed Backtest Strategy (Adapted) This script is an adaptation of the popular CNN Fear & Greed Index, originally created by EdgeTools, with significant modifications to optimize it for long-term backtesting on the TradingView platform. The core function of the Fear & Greed Index is to measure the current emotional state of the stock market, ranging from 0 (Extreme Fear) to 100 (Extreme Greed). It operates on the principle that excessive fear drives prices too low (a potential buying opportunity), and excessive greed drives them too high (a potential selling opportunity). Key Components of the Index (7 Factors) The composite index is calculated as a weighted average of seven market indicators, each normalized to a score between 0 and 100: Market Momentum: S&P 500's current level vs. its 125-day Moving Average. Stock Price Strength: Stocks hitting 52-week highs vs. those hitting 52-week lows. Stock Price Breadth: Measured by the McClellan Volume Summation Index (or similar volume/breadth metric). Put/Call Ratio: The relationship between volume of put options (bearish bets) and call options (bullish bets). Market Volatility: The CBOE VIX Index relative to its 50-day Moving Average. Safe Haven Demand: The relative performance of stocks (S&P 500) vs. bonds. Junk Bond Demand: The spread between high-yield (junk) bonds and U.S. Treasury yields. Critical Adaptations for Backtesting To improve the index's utility for quantitative analysis, the following changes were made: Long-Term Normalization: The original normalization method (ta.stdev over a short LENGTH) has been replaced or adjusted to use longer historical data. This change ensures the index generates consistent and comparable sentiment scores across decades of market history, which is crucial for reliable backtesting results. Updated Data Sources: Specific ticker requests for the Put/Call Ratio and Bond components (Safe Haven and Junk Bond Demand) have been updated to use the most reliable and long-running data available on TradingView, reducing data gaps and improving chart continuity. Simplified Visuals: The chart display is streamlined, focusing only on the final Fear & Greed Index line and key threshold levels (25, 50, 75) for quick visual assessment. Integrated Trading Strategy This script also includes a simple, rules-based strategy designed to test the counter-trend philosophy of the index: Entry Logic (Long Position): A long position is initiated when the market shows increasing fear, specifically when the index score is less than or equal to the configurable FEAR_LEVEL (default 25) and the index crosses above its own short-term 5-period Simple Moving Average (SMA). This crossover acts as a confirmation that sentiment may be starting to turn around from peak fear. Exit Logic (Time-Based): All positions are subject to a time-based exit after holding for 252 trading days (approximately one year). This fixed holding period aims to capture the typical duration of a cyclical market recovery following a major panic event.
Strategi Pine Script®
oleh rwanwan
VIX Counter-Trend StrategyVIX Panic Index VOO Bottom-Fishing Strategy 📊 Strategy Overview This strategy utilizes the VIX (Volatility Index) as a market sentiment indicator to help investors rationally enter positions during periods of extreme market panic, using objective technical signals to avoid emotional decision-making. It is designed to capture rebound opportunities in VOO (or other US equity ETFs) following panic-driven selloffs. 🎯 Entry and Exit Conditions Entry Conditions (both must be met): VIX reaches or exceeds the set threshold (default 25, adjustable) VIX death crosses below its moving average (default 5-day MA), confirming panic sentiment is beginning to recede Exit Conditions (three modes available): Holding Period Mode: Exit after holding for the set number of days (default 100 days) VIX Decline Mode: Exit when VIX falls below the set threshold (default 20) Either Condition Mode: Exit when either condition is met ⚠️ Important Warnings Not Suitable for Leveraged ETF Bottom-Fishing: VIX reflects market volatility. Using leveraged ETFs (such as TQQQ, SOXL) increases risk due to decay effects and greater volatility, potentially causing larger losses during panic periods. Bear Market Inaccuracy Risk: This strategy assumes markets will rebound from panic. However, during prolonged bear markets or systemic risks (such as the 2008 financial crisis or 2022 rate hike cycle), VIX may remain elevated for extended periods, triggering multiple buy signals while prices continue declining, rendering the strategy ineffective. Recommended to Combine with Market Trend Analysis: Works better in bull market conditions. In bear markets, consider raising VIX thresholds or suspending use. For Reference Only, Not Investment Advice: Historical performance does not guarantee future results. Please use cautiously according to your personal risk tolerance. VIX 恐慌指數 VOO 抄底策略 📊 策略目的 本策略利用 VIX 恐慌指數作為市場情緒指標，幫助投資人在市場極度恐慌時理性進場抄底，並透過客觀的技術訊號避免情緒化操作。適合用於捕捉 VOO（或其他美股 ETF）在恐慌性下跌後的反彈機會。 🎯 進出場條件 進場條件（同時滿足）： VIX 指數達到設定門檻以上（預設 25，可調整） VIX 死亡交叉其均線（預設 5 日均線），確認恐慌情緒開始回落 出場條件（三種模式可選）： 持有天數模式：持有達到設定天數後出場（預設 100 天） VIX 回落模式：VIX 降至設定門檻以下時出場（預設 20） 兩者皆可模式：任一條件滿足即出場 ⚠️ 重要警語 不適合槓桿型 ETF 抄底：VIX 反映的是市場波動度，使用槓桿 ETF（如 TQQQ、SOXL）會因為衰減效應和更大波動而增加風險，可能在恐慌期間造成更大虧損。 空頭市場失準風險：本策略假設市場會從恐慌中反彈，但在長期空頭或系統性風險（如 2008 金融危機、2022 升息循環）中，VIX 可能長期處於高檔，多次觸發買入訊號卻持續下跌，導致策略失效。 建議搭配大盤趨勢判斷：在多頭格局中使用效果較佳，空頭格局建議提高 VIX 門檻或暫停使用。 僅供參考，非投資建議：歷史績效不代表未來表現，請依個人風險承受度謹慎使用。
Strategi Pine Script®
oleh rwanwan
Trendviewer_Auctheo.Trendviewer 240 is built for traders who want clearer structure and fewer false starts. It reads higher-timeframe trend strength and turns it into a simple visual map on your active chart. You get precise directional bias, dynamic stop zones that adapt to current volatility, and optional filters that help you stay aligned with momentum instead of fighting it. The script highlights areas where the trend is shifting, shows you when conditions are supportive for entries, and manages exits using a mix of adaptive levels and tiered targets. Everything is designed to keep your decision-making clean without cluttering the chart or revealing unnecessary details. If you trade with the higher timeframe in mind but want the execution on the lower timeframe to feel controlled and confident, this tool will fit right in. Please for free to contact us @theauctiontheorist@gmail.com
Strategi Pine Script®
oleh theauctiontheorist
Mir Khans QQQThis strategy is built around how I actually trade QQQ intraday: Opening-Range continuation, VWAP trend reads, OI magnets, and a simple but strict risk framework. It’s designed to keep you on the right side of the session theme (trend vs fade), then only take trades when multiple pieces of confluence line up. The strategy is tuned for QQQ on intraday timeframes, but the logic is generic enough to experiment with other liquid index products. It’s not financial advice—use it as a structured framework for reading OR, VWAP, and trend strength, and then layer your own execution rules and risk management on top.
Strategi Pine Script®
oleh miralikhan10
Macketings 1min ScalpingThis is a hyper-reactive scalping strategy designed for the 1-minute chart. It utilizes a strict four-EMA hierarchy (80/90/340/500) to ensure trades are only taken in the strongest aligned market trend. The strategy is built to be extremely tight on risk and focuses on capturing the immediate, high-momentum swing that follows a confirmed EMA retest or breakout. Key Mechanics (How it Works): Strict Trend Alignment: Entry is only permitted when the faster EMA band (80/90) and the price action are correctly aligned with the slow trend (340/500). Long: EMA 80/90 must be above EMA 340/500, AND EMA 340 must be above EMA 500. (And vice-versa for Short.) Expanded Retest Entry: The strategy waits for the price to retest or briefly enter the 80/90 band, then immediately enters upon the confirmed momentum breakout from that band. Dynamic Risk Management (Tight Ride): The strategy is engineered to ride the wave aggressively while protecting capital immediately: Extremely Tight Initial Stop Loss (0.2% default): Limits initial risk instantly. Break-Even Security: Once profit hits 0.3%, the Stop Loss is automatically trailed to secure 0.2% profit (a risk-free trade). Aggressive Exit Logic: Positions are closed not only upon hitting the Take Profit target (2.5%) but also immediately if the 80/90 EMA band crosses the 340 EMA, signaling a critical loss of momentum. Disclaimer: This strategy requires high-liquidity instruments and is best used on low timeframes (1-minute) due to its dependency on fast momentum shifts and tight stops. Backtesting and forward testing are crucial before deployment.
Strategi Pine Script®
oleh Macketing1337
AlgoFyTrader - BolitrendAlgoFyTrader Bolitrend - Intelligent Trading Strategy Strategy Overview: This innovative trading system combines trend-following principles with strategic entry timing to identify high-probability trading opportunities in the market. How It Works: The strategy operates on a dual-mechanism approach: Trend Identification & Confirmation: Employs advanced trend detection to determine market direction Uses multiple confirmation layers to validate trend strength Maintains position alignment with the dominant market momentum Strategic Entry System: Monitors for optimal entry points during trend developments Waits for specific market conditions that signal high-probability opportunities Executes trades only when multiple confirmation criteria are met Risk Management Features: Multi-layered Protection: Integrated safety mechanisms to protect capital Smart Position Management: Automated profit protection and risk control Adaptive Filters: Market condition filters to avoid low-probability setups Key Benefits: Clear visual signals for easy identification of trading opportunities Comprehensive risk management system Systematic approach suitable for various market conditions Designed for both swing trading and position trading styles Configuration Options: Users can customize: Trend sensitivity parameters Risk management settings Entry confirmation criteria Position sizing options Note: This strategy is designed for educational and informational purposes. Past performance does not guarantee future results. Traders should understand the risks involved in financial markets and trade responsibly.
Strategi Pine Script®
oleh AlgoFyTrader
Intraday Market Structure Research Tool (Reversal + Breakout)This script is a fully rule-based intraday strategy designed for research and backtesting purposes, not financial advice. It is intended to help traders study market behavior, time-based price patterns, and statistical trade outcomes under realistic trading assumptions. What the Strategy Does This strategy operates in two selectable trade modes: 1. Reversal Mode Identifies statistically large candles relative to recent volatility Enters counter-direction trades when price shows exhaustion behavior Designed to study fade-type behavior around session extremes 2. Breakout Mode Tracks recent swing highs/lows over a user-defined lookback Executes trades only after confirmed price expansion beyond these levels Designed to test momentum continuation behavior Time & Session Filtering Trades are only taken during user-defined market sessions, including: New York 1 New York 2 London Asia This allows users to analyze performance differences between global trading sessions. 9:30 AM Opening Range Logic The script captures the 9:30 AM (Eastern) one-minute candle high/low and uses that as an Opening Range: Breakout trades can be confirmed above or below this range The range is visualized for clarity Risk Management & Realism Controls This script includes realistic execution mechanics: Fixed stop-loss and take-profit defined by the user (points or ticks) Built-in slippage modeling Commission assumptions included Position sizing designed to keep risk per trade under 5–10% of account equity when used with realistic account sizes Users are responsible for choosing realistic account sizes and risk values when running backtests. Statistical Performance Tracking The strategy records and displays performance data including: Win rate Average win and loss Maximum drawdown per trade series Expectancy Trade distribution by: Time of day Session Market classification This allows users to study market tendencies and structural behavior over large sample sizes. Visual Tools The script displays: Entry and exit markers Blocked trade labels (when conditions are not met) Opening range box Breakout levels Use Case Disclaimer This script is designed for: Backtesting Market structure research Statistical study It is not guaranteed to be profitable, and results depend heavily on user-selected settings, market conditions, and realistic brokerage assumptions.
Strategi Pine Script®
oleh mickey1984
Mirror Blocks: StrategyMirror Blocks is an educational structural-wave model built around a unique concept: the interaction of mirrored weighted moving averages (“blocks”) that reflect shifts in market structure as price transitions between layered symmetry zones. Rather than attempting to “predict” markets, the Mirror Blocks framework visualizes how price behaves when it expands away from, contracts toward, or flips across stacked WMA structures. These mirrored layers form a wave-like block system that highlights transitional zones in a clean, mechanical way. This strategy version allows you to study how these structural transitions behave in different environments and on different timeframes. The goal is understanding wave structure, not generating signals. How It Works Mirror Blocks builds three mirrored layers: Top Block (Structural High Symmetry) Base Block (Neutral Wave) Bottom Block (Structural Low Symmetry) The relative position of these blocks — and how price interacts with them — helps visualize: Compression and expansion Reversal zones Wave stability Momentum transitions Structure flips A structure is considered bullish-stack aligned when: Top > Base > Bottom and bearish-stack aligned when: Bottom > Base > Top These formations create the core of the Mirror Blocks wave engine. What the Strategy Version Adds This version includes: Long Only, Short Only, or Long & Short modes Adjustable symmetry distance (Mirror Distance) Configurable WMA smoothing length Optional trend filter using fast/slow MA comparison ENTER / EXIT / LONG / SHORT labels for structural transitions Fixed stop-loss controls for research A clean, transparent structure with no hidden components It is optimized for educational chart study, not automated signals. Intended Purpose Mirror Blocks is meant to help traders: Study structural transitions Understand symmetry-based wave models Explore how price interacts with mirrored layers Examine reversals and expansions from a mechanical perspective Conduct long and short backtesting for research Develop a deeper sense of market rhythm This is not a prediction model. It is a visual and structural framework for understanding movement. Backtesting Disclaimer Backtest results can vary depending on: Slippage settings Commission settings Timeframe Asset volatility Structural sensitivity parameters Past performance does not guarantee future results. Use this as a research tool only. Warnings & Compliance This script is educational. It is not financial advice. It does not provide signals. It does not promise profitability. The purpose is to help visualize structure, not predict price. The strategy features are simply here to help users study how structural transitions behave under various conditions. License Released under the Michael Culpepper Gratitude License (2025). Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
Strategi Pine Script®
oleh mikeyc747
Hash Momentum Strategy# Hash Momentum Strategy ## 📊 Overview The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios. --- ## ⚡ What Makes This Strategy Unique ### 1. Momentum-Based Entry System Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened. ### 2. Programmable Risk-to-Reward Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations. ### 3. Smart Partial Profit Taking Lock in profits at multiple stages: - **First TP**: Take 50% off at 2R - **Second TP**: Take 40% off at 2.5R - **Final TP**: Let 10% ride to maximum target This approach locks in gains while letting winners run. ### 4. Dynamic Momentum Threshold Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold. ### 5. Trade Cooldown System Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars. ### 6. Optional Session & Weekend Filters Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods. --- ## 🎯 How It Works ### Signal Generation **STEP 1: Calculate Momentum** - Momentum = Current Price - Price - Check if Momentum > ATR × Threshold Multiplier - Momentum must be accelerating (positive change in momentum) **STEP 2: Confirm with EMA Trend Filter** - Long: Price must be above EMA - Short: Price must be below EMA **STEP 3: Check Filters** - Not in cooldown period - Valid session (if enabled) - Not weekend (if enabled) **STEP 4: ENTRY SIGNAL TRIGGERED** ### Risk Management Example **Example Long Trade:** - Entry: $100 - Stop Loss: $97.80 (2.2% risk) - Risk Amount: $2.20 **Take Profit Levels:** - TP1: $104.40 (2R = $4.40) → Close 50% - TP2: $105.50 (2.5R = $5.50) → Close 40% - Final: $105.50 (2.5R) → Close remaining 10% --- ## ⚙️ Settings Guide ### Core Strategy **Momentum Length** (Default: 13) Number of bars for momentum calculation. Higher = stronger but fewer signals. **Momentum Threshold** (Default: 2.25) ATR multiplier. Higher = only trade biggest moves. **Use EMA Trend Filter** (Default: ON) Only long above EMA, short below EMA. **EMA Length** (Default: 28) Period for trend-confirming EMA. ### Filters **Use Trading Session Filter** (Default: OFF) Restrict trading to specific sessions. **Tokyo Session** (Default: OFF) Trade during Asian hours (00:00-09:00 JST). **London Session** (Default: OFF) Trade during European hours (08:00-17:00 GMT). **New York Session** (Default: OFF) Trade during US hours (08:00-17:00 EST). **Weekend Off** (Default: OFF) Disable trading on Saturdays and Sundays. ### Risk Management **Stop Loss %** (Default: 2.2) Fixed percentage stop loss from entry. **Risk:Reward Ratio** (Default: 2.5) Your target reward as multiple of risk. **Use Partial Profit Taking** (Default: ON) Take profits in stages. **First TP R:R** (Default: 2.0) First target as multiple of risk. **First TP Size %** (Default: 50) Percentage of position to close at TP1. **Second TP R:R** (Default: 2.5) Second target as multiple of risk. **Second TP Size %** (Default: 40) Percentage of position to close at TP2. ### Trade Management **Use Trade Cooldown** (Default: ON) Prevent overtrading. **Cooldown Bars** (Default: 6) Bars to wait after closing a trade. --- ## 🎨 Visual Elements ### Chart Indicators 🟢 **Green Dot** (below bar) = Long entry signal 🔴 **Red Dot** (above bar) = Short entry signal 🔵 **Blue X** (above bar) = Long position closed 🟠 **Orange X** (below bar) = Short position closed **EMA Line** = Trend direction (green when bullish, red when bearish) **White Line** = Entry price **Red Line** = Stop loss level **Green Lines** = Take profit levels (TP1, TP2, Final) ### Dashboard When not in real-time mode, a dashboard displays: - Current position (LONG/SHORT/FLAT) - Entry price - Stop loss price - Take profit price - R:R ratio - Current momentum strength - Total trades - Win rate - Net profit % --- ## 📈 Recommended Settings by Timeframe ### 1-Hour Timeframe (Default) - Momentum Length: 13 - Momentum Threshold: 2.25 - EMA Length: 28 - Stop Loss: 2.2% - R:R Ratio: 2.5 - Cooldown: 6 bars ### 4-Hour Timeframe - Momentum Length: 24-36 - Momentum Threshold: 2.5 - EMA Length: 50 - Stop Loss: 3-4% - R:R Ratio: 2.0-2.5 - Cooldown: 6-8 bars ### 15-Minute Timeframe - Momentum Length: 8-10 - Momentum Threshold: 2.0 - EMA Length: 20 - Stop Loss: 1.5-2% - R:R Ratio: 2.0 - Cooldown: 4-6 bars --- ## 🔧 Optimization Tips ### Want More Trades? - Decrease Momentum Threshold (2.0 instead of 2.25) - Decrease Momentum Length (10 instead of 13) - Decrease Cooldown Bars (4 instead of 6) ### Want Higher Quality Trades? - Increase Momentum Threshold (2.5-3.0) - Increase Momentum Length (18-24) - Increase Cooldown Bars (8-10) ### Want Lower Drawdown? - Increase Cooldown Bars - Use tighter stop loss - Enable session filters (trade only high-liquidity sessions) - Enable Weekend Off ### Want Higher Win Rate? - Increase R:R Ratio (may reduce total profit) - Increase Momentum Threshold (fewer but stronger signals) - Use longer EMA for trend confirmation --- ## 📊 Performance Expectations Based on typical backtesting results: - **Win Rate**: 35-45% - **Profit Factor**: 1.5-2.0 - **Risk:Reward**: 1:2.5 (configurable) - **Max Drawdown**: 10-20% - **Trades/Month**: 8-15 (1H timeframe) **Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity. --- ## 🎓 Strategy Logic Explained ### Why Momentum > EMA Crossover? **EMA Crossover Problems:** - Signals lag behind price - Late entries = poor R:R - Many false signals in ranging markets **Momentum Advantages:** - Catches moves as they start accelerating - Earlier entries = better R:R - Adapts to volatility via ATR ### Why Partial Profit Taking? **Without Partial TPs:** - All-or-nothing approach - Winners often turn to losers - High stress watching open positions **With Partial TPs:** - Lock in 50% at first target - Reduce risk to breakeven - Let remainder ride for bigger gains - Lower psychological pressure ### Why Trade Cooldown? **Without Cooldown:** - Revenge trading after losses - Overtrading in choppy markets - Emotional decision-making **With Cooldown:** - Forces discipline - Waits for new setup to develop - Reduces transaction costs - Better signal quality --- ## ⚠️ Important Notes 1. **This is a momentum strategy, not an EMA strategy** The EMA only confirms trend direction. Momentum generates the actual signals. 2. **Backtest thoroughly before live trading** Past performance ≠ future results. Test on your specific asset and timeframe. 3. **Use proper position sizing** Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties). 4. **Dashboard auto-hides in real-time** Clean chart for live trading. Visible during backtesting. 5. **Customize for your trading style** All settings are fully adjustable. No single "best" configuration. --- ## 🚀 Quick Start Guide 1. **Add to Chart**: Apply to your preferred asset and timeframe 2. **Keep Defaults**: Start with default settings 3. **Backtest**: Review historical performance 4. **Paper Trade**: Test with simulated money first 5. **Go Live**: Start small and scale up --- ## 💡 Pro Tips **Tip 1: Combine Timeframes** Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries. **Tip 2: Avoid News Events** Major news can cause whipsaws. Consider manual intervention during high-impact events. **Tip 3: Monitor Momentum Strength** Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum. **Tip 4: Adjust for Volatility** In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them. **Tip 5: Review Losing Trades** Check if losses are hitting stop loss or reversing. Adjust stop accordingly. --- ## 📝 Changelog **v1.0** - Initial Release - Momentum-based signal generation - EMA trend filter - Programmable R:R ratio - Partial profit taking (3 stages) - Trade cooldown system - Session filters (Tokyo/London/New York) - Weekend off toggle - Smart dashboard (auto-hides in real-time) - Clean visual design --- ## 🙏 Credits Developed by **Hash Capital Research** If you find this strategy useful, please give it a like and share with others! --- ## ⚖️ Disclaimer This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading. --- ## 📬 Feedback Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback. --- **Happy Trading! 🚀📈**
Strategi Pine Script®
oleh Hash_Capital
Semi-Martingala Sicura 1.20x PROIncrements or a maximum amount of 200. If the previous trade is profitable, the count is reset and the initial amount is resumed. Exit management uses fixed percentage stop loss and take profit, set relative to the entry price. In summary, this strategy aims to capitalize on trend and momentum signals, using a semi-martingale system to increase positions in case of losses, but with precise limits to contain risk. Note: This method aims to be "safer" than a classic martingale, respecting increment limits and a maximum amount. Comment by saying what you think and what I could change.
Strategi Pine Script®
oleh Peppe2312
ATR 雙重保險加碼策略 (ATR減碼 + EMA清倉) (三寶爸黃金版)黃金雙保險戰法 (兩口單策略) 核心概念： 進場買兩口。一口賺了就跑(保本)，一口死抱到底(拚大賺)。 1. 進場 (買 2 口)： 只要價格站上黃線，而且突破前高。 別猶豫，直接買 2 口。 2. 減碼 (賣 1 口)： 價格回檔碰到綠線。 代表短線轉弱，先賣掉 1 口。 好處： 錢先放口袋，心裡踏實。 3. 加碼 (買回 1 口)： 如果你手上只剩 1 口，結果行情沒死，又創新高。 代表剛才賣錯了，趕快買回 1 口 (補回滿倉)。 好處： 繼續跟著趨勢賺錢。 4. 清倉 (全跑)： 價格跌破黃線。 代表趨勢真的結束了，不管剩幾口，全部賣掉。 一句話總結： 「震盪時先賣一半保命，趨勢噴出時永遠滿倉在車上。」 Gold Dual-Insurance Tactic (2-Lot System) Core Concept: Enter with 2 lots. Sell one early to lock in profits (Play Safe), and hold the other to catch the big wave (Go Big). 1. Entry (Buy 2 Lots): When price is above the Yellow Line AND breaks the previous High. Don't hesitate. Buy 2 lots immediately. 2. Scale Out (Sell 1 Lot): When price pulls back and hits the Green Line. This means short-term weakness. Sell 1 lot. Benefit: Put money in your pocket. Peace of mind. 3. Add Position (Buy Back 1 Lot): If you have only 1 lot left, but the market hits a New High. It means the trend is alive. Quickly Buy back 1 lot (refill to full position). Benefit: Continue maximizing profits with the trend. 4. Clear All (Exit Everything): When price falls below the Yellow Line. The trend is officially over. Sell everything, no matter what.
Strategi Pine Script®
oleh isekai_3kids_daddy
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