Black FridayDISKON hingga 80%

Indikator dan strategi

CyberTrading-Inside Hunt RobotThis Pine Script strategy, titled "Cyber-Inside", is a fully automated entry and risk management system built around inside bar pierce patterns and ATR-based dynamic stops/targets. It identifies specific candle formations, calculates position sizing based on risk percentage, and visually displays risk/reward zones and trade labels on the chart. Detailed Explanation 1. Core Logic The script searches for inside bars — candles whose high and low are contained within the previous bar — that appear after a valid “normal” or “long” range candle. Then it waits for a wick pierce (a candle that breaks the previous inside bar's range slightly but closes inside). That wick pierce acts as a potential reversal or continuation signal: wickDown → possible long entry wickUp → possible short entry 2. ATR-based Classification Each candle is compared to the ATR(24): Spinning (small) → below 0.8 × ATR Standard → between 0.8× and 1.2× ATR Long → between 1.2× and 2.5× ATR Huge → above 2.5× ATR Only certain candle types (standard or long) in the previous bars qualify for pattern validation. 3. Entry Conditions A trade signal occurs when: The current bar forms a wick pierce of a prior inside bar pattern. No active position exists (strategy.position_size == 0). Then: For longs, entry at close, stop at previous low minus ATR buffer. For shorts, entry at close, stop at previous high plus ATR buffer. 4. Risk Management The stop distance defines the risk per trade, and the position size is adjusted dynamically so that only the chosen riskPercent (e.g., 1%) of equity is at risk. If useRR is enabled, a take-profit target is placed using the defined risk/reward multiple (rr, e.g. 1:3). If disabled, the target defaults to the previous candle’s high or low. 5. Visualization The strategy visually marks: Entry points (triangles) Red box = risk zone (entry → stop) Green box = reward zone (entry → target) Optional diagonal and horizontal lines for clarity Labels updated after trade closes with PnL values (profit or loss) 6. Application This system helps traders: Automate inside-bar breakout or reversal entries Maintain strict risk-based position sizing Visually assess trade zones and risk/reward areas Backtest and evaluate performance consistency on various timeframes and assets
Strategi Pine Script®
oleh collegepips
BankNifty Etharia Aggresive Buyer / SellerOverview Professional intraday trading strategy for BankNifty Futures that identifies high-probability setups by combining multiple technical indicators. Works in BOTH directions - LONG and SHORT. Best Timeframe: 5-Minute Chart Key Features: ✅ Multi-Confluence Entry System - All indicators must align for signal ✅ Bidirectional Trading - Captures both uptrends and downtrends ✅ Advanced Risk Management - Daily loss limits, consecutive loss protection ✅ Smart Exit System - Partial profit taking + trailing stops ✅ Session-Based Trading - Avoids opening and closing volatility Entry Logic: LONG Signals: Price above Kernel Regression (trend confirmation) Price above VWAP with positive slope (momentum) Cumulative Volume Delta bullish (buying pressure) Volume spike or increasing volume (strength confirmation) Strong bullish candle with 60%+ body ratio RSI filter to avoid overbought entries SHORT Signals: Price below Kernel Regression (downtrend confirmation) Price below VWAP with negative slope (bearish momentum) CVD bearish (selling pressure dominates) High volume confirmation Strong bearish candle pattern RSI filter to avoid oversold entries Exit Management: 🎯 Target 1: 1.5 R:R (50% position exit) 🎯 Target 2: 2.5 R:R (full exit) 🛡️ Stop Loss Options: ATR-based, Swing-based, or Fixed 🟡 Trailing Stop: Activates after 1.2 R:R, trails at 0.8 R:R ⏰ Time-Based Exit: Closes all positions 5 mins before session end Risk Controls: Maximum trades per day (default: 5) Consecutive loss limit (default: 2) Daily loss limit: 2.5% of capital Daily profit target: 5% (stops trading when reached) Position sizing based on account risk percentage Recommended Settings: Asset: BankNifty Futures (NSE:BANKNIFTY1!) Timeframe: 5-minute Initial Capital: ₹1,00,000 Risk per trade: 1% Commission: 0.05% Slippage: 5 points Performance Expectations: Win Rate: 55-65% Profit Factor: 1.5-2.0 Average Trades/Day: 3-8 Risk:Reward: 1:1.8 average Customizable Parameters: Trading direction (Long Only / Short Only / Both) Indicator lengths and thresholds Stop loss type and targets Risk management limits Trading session hours Best For: Intraday traders seeking systematic, rule-based entries with strong confluence, proper risk management, and the ability to profit from both bullish and bearish market conditions.
Strategi Pine Script®
oleh Diamondhands1212
RSI + BB strategyBollinger Bands 20/2.5 + RSI 20-day 25/75 Long = Enter a long position when the price breaks below the Bollinger Band, the candlestick closes, and the RSI is below 25. Short = Enter a short position when the price breaks above the Bollinger Band, the candlestick closes, and the RSI is above 75. Take profit = Default setting: Take profit when profit is +4%. For safety, sell half of the position when profit is +2% to break even. Lower average: -5% loss. If the RSI is 20/80, use the lower average. Sell the remaining amount when the price returns to its original price. Based on 5-minute and 15-minute charts Otherwise, signals will be difficult to obtain. For charts longer than 1 hour, adjust RSI and BB appropriately.
Strategi Pine Script®
oleh volders50
[Aegis]DCA grid Strategy for Crypto### **Crypto Market Long-Only Strategy (DCA with Risk Mitigation)** This strategy is a Long-only approach, often using a Dollar-Cost Averaging (DCA) method for staggered entries. It is designed to mitigate the risk of being unable to exit a position for a prolonged period, which typically occurs when a series of initial DCA entries result in a losing trade. The strategy has the following characteristics: #### **1. Markets** * Trade in highly liquid Perpetual Futures markets for cryptocurrencies. #### **2. Position Sizing** The initial entry quantity is determined by setting the **Initial Entry Ratio** in the input values. * If the **Subsequent Entry Multiplier** is 1, the maximum position size upon final entry is determined by: $$\text{Initial Entry Quantity} \times \text{Number of Entries}$$ * If the **Subsequent Entry Multiplier** is $x$, the maximum position size is determined by the following cumulative sum: $$\text{1st Entry Quantity} + (\text{1st Entry Quantity} \times x) + (\text{2nd Entry Quantity} \times x) + \dots + ((\text{n-1)th Entry Quantity} \times x)$$ #### **3. Entries** * The **1st Entry** is determined by the **Entry Sensitivity**. The first entry is automatically calculated based on an oversold condition; setting a higher sensitivity value will trigger the 1st entry in a more significant oversold situation. * Entries from the **2nd Entry onwards** are made sequentially based on the generated **Grid Spacing**. * The **Grid Spacing** is calculated as an equal interval: $$\text{Grid Spacing} = \frac{\text{Final Entry Distance}}{(\text{Number of Entries} - 1)}$$ #### **4. Exits** This strategy **does not distinguish between Stop-Loss and Take-Profit**. All entered quantities are liquidated simultaneously upon mean reversion. This transaction may result in either a loss or a profit. Generally: * If the price recovery is rapid, the trade finishes with a profit. * If the price recovery is slow, the trade finishes with a loss. Therefore, the **'resilience' or 'recovery speed'** of the underlying asset significantly influences the long-term performance of the strategy. 크립토 시장에 특화된 Long only전략입니다. DCA 방식의 분할 매수 전략이 대체로 이익 거래가 아닌 경우, 장기간 탈출하지 못할 리스크를 보완한 전략입니다. 이 전략은 다음과 같은 특징을 가지고 있습니다. ##### 1. 시장 (Markets) • 유동성이 풍부한 코인 무기한 선물 시장에서 거래한다. ##### 2. 포지션 크기 (Position Sizing) 인풋 값에 최초진입비율을 설정함으로써 1차 진입의 수량이 결정됩니다. - 추가 진입배수가 1일 때, 최대 진입 시 포지션 크기는 "1차 진입수량 * 진입횟수"에 의해 결정됩니다. - 추가 진입배수가 x일때, 1차진입물량 + (1차진입 물량 * x) + (2차진입 물량 * x) ..... + (n-1)차 진입물량 * x 의 방식으로 최대 진입 시 포지션 크기가 결정 됩니다 ##### 3. 진입 (Entries) - 1차 진입은 진입 둔감도에 의해 결정됩니다. 1차 진입은 과매도 상황을 자동적으로 계산하여 결정되며, 둔감도를 높은 값으로 설정하면 더 큰 과매도 상황에서 1차 진입이 결정됩니다. - 2차 이후의 진입은 생성된 그리드 간격에 의해 순차적으로 진입하게 됩니다. - 그리드 간격은 최종 진입 간격 / (진입 횟수 - 1) 으로 등간격으로 이루어집니다. ##### 4. 청산 (Exits) 이 전략은 손절과 익절을 구분하지 않습니다. 평균 회귀를 하는 경우 진입한 모든 물량을 일시에 청산하며, 이 거래는 손실 거래일 수도, 이익 거래일 수도 있습니다. 일반적으로, 가격 회복이 빠르게 되는 경우 이익 거래로 마무리되고, 가격 회복이 느린 경우 손실 거래로 마무리되기 때문에, 장기적으로 종목의 '회복탄력성'이 전략의 성과에 영향을 줄 수 있습니다.
Strategi Pine Script®
oleh sleepsystrade
[Aegis]Original Turtle System for CryptoAs Richard Dennis once said, "Even if I published all the Turtle rules in the newspaper right now, no one would be able to 'execute' them," and 40 years later, even in modern financial markets (like the crypto market) where all the conditions have been disclosed, this strategy continues to deliver amazing performance. The following outlines the original Turtle rules as disclosed by Curtis Faith in his book *Way of the Turtle*, and a TradingView algorithm that translates these rules for application in the crypto market. --- ### **The Original Turtle Trading Rules** #### **1. Markets** * Trade in liquid futures markets. #### **2. Position Sizing** The volatility measure, **N**, is used as the basis for all calculations. **True Range (TR) Calculation:** Select the largest of the following three values: * Current High - Current Low * $|\text{Current High} - \text{Previous Close}|$ (Absolute Value) * $|\text{Current Low} - \text{Previous Close}|$ (Absolute Value) **N (Average True Range, ATR) Calculation:** $$N = \frac{(19 \times \text{PDN} + \text{TR})}{20}$$ * **PDN:** Previous Day's N value * **TR:** Current True Range This is similar to a 20-day Exponential Moving Average, and is sometimes calculated using a Simple Moving Average. **Unit Size Calculation:** $$\text{Unit Size (Number of Contracts)} = \frac{1\% \text{ of Account Equity}}{(\text{N} \times \text{Dollars per Point})}$$ * **Dollars per Point (Tick Value):** The value of a 1-point change in price. #### **3. Entries** * **Entry:** Buy when the 55-day high is broken to the upside, and sell when the 55-day low is broken to the downside. #### **5. Stops** * The stop-loss for every unit is set at a price **2N** unfavorable from the entry price. * For each additional unit added, the stop price for the **entire position** is adjusted favorably by **1/2 N**. * In other words, the stop price of the last unit entered becomes the stop price for the entire position. #### **6. Exits** The exit rule for profitable positions (before a stop is hit) is as follows: * **Long Positions:** Exit when the 20-day low is broken to the downside. * **Short Positions:** Exit when the 20-day high is broken to the upside. *Note: This exit rule is followed only if the price has moved up by a value greater than or equal to the N value multiplied by the criterion for changing the take-profit line (the original Korean text mentions a condition based on N, which is commonly interpreted as requiring a profit before applying the channel exit).* 리처드 데니스가 앞서 "내가 지금 당장 터틀의 모든 규칙을 신문에 공표한다고 해도 아무도 '실행'하지 못할 것"라고 말했듯 40년이 흘러 모든 조건이 공개된 현대 금융시장(크립토 시장)에서도 여전히 이 전략은 놀라운 퍼포먼스를 기록하고 있습니다. 아래는 커티스 페이스가 자신의 저서 '터틀의 방식'에 공개한 오리지널 터틀 규칙과 이를 알고리즘으로 변환하여 크립토마켓에 적용한 트레이딩뷰 알고리즘 입니다. ##### 1. 시장 (Markets) • 유동성이 풍부한 선물 시장에서 거래한다. ##### 2. 포지션 크기 (Position Sizing) 변동성 측정 단위인 N을 모든 계산의 기초로 사용한다. **True Range (TR) 계산:** 다음 세 가지 값 중 가장 큰 값을 선택한다. - • 현재 고가 - 현재 저가 - • |현재 고가 - 전일 종가| (절대값) - • |현재 저가 - 전일 종가| (절대값) **N (Average True Range, ATR) 계산:** N = (19 × PDN + TR) / 20 - • PDN: 이전 날의 N 값 - • TR: 현재 True Range 이는 20일 지수이동평균과 유사하며, 단순이동평균으로 계산하기도 한다. **1 유닛(Unit)의 크기 계산:** 유닛 크기 (계약 수) = 계좌 자산의 1% / (N × 틱 가치) • 틱 가치(Dollars per Point): 1포인트 변동 시의 가치 ##### 3. 진입 (Entries) - • 진입: 55일 고가를 상향 돌파하면 매수, 55일 저가를 하향 돌파하면 매도한다. ##### 5. 손절 (Stops) - • 모든 유닛에 대한 손절 기준은 진입 가격으로부터 2N 만큼 불리한 가격에 설정한다. - • 유닛이 추가될 때마다 전체 포지션의 손절 가격을 1/2 N 만큼 유리한 방향으로 상향 조정한다. - • 즉, 마지막으로 진입한 유닛의 손절 가격이 전체 포지션의 손절 가격이 된다. ##### 6. 청산 (Exits) 손절에 도달하기 전 수익 중인 포지션의 청산 규칙은 다음과 같다. - • 매수 포지션: 20일 저가를 하향 돌파할 때 청산한다. - • 매도 포지션: 20일 고가를 상향 돌파할 때 청산한다. 단, N값에 익절선 변경 기준을 곱한 값 이상으로 가격이 상승할 경우, 위 규칙을 따른다.
Strategi Pine Script®
oleh sleepsystrade
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works 1. Pattern Detection (Previous Candle): • Checks if total shadow length ≥ 2 × body. • Checks if candle height (high − low) is between 10 and 21.5 points. • If true → marks that candle as a potential Doji, Hammer, or Spinning Top. 2. Long Setup: • LTP (close) crosses above previous candle high. • Previous candle is a valid pattern candle. • Stop Loss = 3 points below previous candle low. • Take Profit = 5 × (high − low) of previous candle added to previous high. 3. Short Setup: • LTP (close) crosses below previous candle low. • Previous candle is a valid pattern candle. • Stop Loss = 3 points above previous candle high. • Take Profit = 5 × (high − low) of previous candle subtracted from previous low. 4. Visualization: • Yellow background highlights pattern candles. • Green ▲ and Red ▼ markers show entry points. Deep yellow candles → represent Doji / Hammer / Spinning Top patterns • Green triangle → Buy signal • Red triangle → Sell signal • Dotted green line + label → Target • Dotted red line + label → Stop loss • Gray background → Outside trading hours • Auto close → All trades square off at 3:29 PM IST
Strategi Pine Script®
oleh amiyashankar
DayFlow VWAP Relay Forex Majors StrategySummary in one paragraph DayFlow VWAP Relay is a day-trading strategy for major FX pairs on intraday timeframes, demonstrated on EURUSD 15 minutes. It waits for alignment between a daily anchored VWAP regime check, residual percentiles, and lower-timeframe micro flow before suggesting trades. The originality is the fusion of daily VWAP residual percentiles with a live micro-flow score from 1 minute data to switch between fade and breakout behavior inside the same session. Add it to a clean chart and use the markers and alerts. Scope and intent • Markets: Major FX pairs such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCHF, USDCAD • Timeframes: One minute to one hour • Default demo in this publication: EURUSD on 15 minutes • Purpose: Reduce false starts by acting only when context, location and micro flow agree • Limits: This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Core novelty: Residual percentiles to daily anchored VWAP decide “balanced versus expanding day”. A separate 1 minute micro-flow score confirms direction, so the same model fades extremes in balance and rides range breaks in expansion • Failure modes addressed: Chop fakeouts and unconfirmed breakouts are filtered by the expansion gate and micro-flow threshold • Testability: Every input is exposed. Bands, background regime color, and markers show why a suggestion appears • Portable yardstick: Stops and targets are ATR multiples converted to ticks, which transfer across symbols • Open source status: No reused third-party code that requires attribution Method overview in plain language The day is anchored with a VWAP that updates from the daily session start. Price minus VWAP is the residual. Percentiles of that residual measured over a rolling window define location extremes for the current day. A regime score compares residual volatility to price volatility. When expansion is low, the day is treated as balanced and the model fades residual extremes if 1 minute micro flow points back to VWAP. When expansion is high, the model trades breakouts outside the VWAP bands if slope and micro flow agree with the move. Base measures • Range basis: True Range smoothed by ATR for stops and targets, length 14 • Return basis: Not required for signals; residuals are absolute price distance to VWAP Components • Daily Anchor VWAP Bands. VWAP with standard-deviation bands. Slope sign is used for trend confirmation on breakouts • Residual Percentiles. Rolling percentiles of close minus VWAP over Signal length. Identify location extremes inside the day • Expansion Ratio. Standard deviation of residuals divided by standard deviation of price over Signal length. Classifies balanced versus expanding day • Micro Flow. Net up minus down closes from 1 minute data across a short span, normalized to −1..+1. Confirms direction and avoids fades against pressure • Session Window optional. Restricts trading to your configured hours to avoid thin periods • Cooldown optional. Bars to wait after a position closes to prevent immediate re-entry Fusion rule Gating rather than weighting. First choose regime by Expansion Ratio versus the Expansion gate. Inside each regime all listed conditions must be true: location test plus micro-flow threshold plus session window plus cooldown. Breakouts also require VWAP slope alignment. Signal rule • Long suggestion on balanced day: residual at or below the lower percentile and micro flow positive above the gate while inside session and cooldown is satisfied • Short suggestion on balanced day: residual at or above the upper percentile and micro flow negative below the gate while inside session and cooldown is satisfied • Long suggestion on expanding day: close above the upper VWAP band, VWAP slope positive, micro flow positive, session and cooldown satisfied • Short suggestion on expanding day: close below the lower VWAP band, VWAP slope negative, micro flow negative, session and cooldown satisfied • Positions flip on opposite suggestions or exit by brackets What you will see on the chart • Markers on suggestion bars: L for long, S for short • Exit occurs on reverse signal or when a bracket order is filled • Reference lines: daily anchored VWAP with upper and lower bands • Optional background: teal for balanced day, orange for expanding day Inputs with guidance Setup • Signal length. Residual and regime window. Typical 40 to 100. Higher smooths, lower reacts faster Micro Flow • Micro TF. Lower timeframe used for micro flow, default 1 minute • Micro span bars. Count of lower-TF bars. Typical 5 to 20 • Micro flow gate 0..1. Minimum absolute flow. Raising it demands stronger confirmation and reduces trade count VWAP Bands • VWAP stdev multiplier. Band width. Typical 0.8 to 1.6. Wider bands reduce breakout frequency and increase fade distance • Expansion gate 0..3. Threshold to switch from fades to breakouts. Raising it favors fades, lowering it favors breakouts Sessions • Use session filter. Enable to trade only inside your window • Trade window UTC. Default 07:00 to 17:00 Risk • ATR length. Stop and target basis. Typical 10 to 21 • Stop ATR x. Initial stop distance in ATR multiples • Target ATR x. Profit target distance in ATR multiples • Cooldown bars after close. Wait bars before a new entry • Side. Both, long only, or short only View • Show VWAP and bands • Color bars by residual regime Properties visible in this publication • Initial capital 10000 • Base currency Default • request.security uses lookahead off everywhere • Strategy: Percent of equity with value 3. Pyramiding 0. Commission cash per order 0.0001 USD. Slippage 3 ticks. Process orders on close ON. Bar magnifier ON. Recalculate after order is filled OFF. Calc on every tick OFF. Using standard OHLC fills ON. Realism and responsible publication No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategies must run on standard candles for signals and orders. Honest limitations and failure modes High impact news, session opens, and thin liquidity can invalidate assumptions. Very quiet days can reduce contrast between residuals and price volatility. Session windows use the chart exchange time. If both stop and target are touched within a single bar, TradingView’s standard OHLC price-movement model decides the outcome. Expect different behavior on illiquid pairs or during holidays. The model is sensitive to session definitions and feed time. Past results never guarantee future outcomes. Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategi Pine Script®
oleh exlux
Mario vr SIT MC Utilizar en el gráfico 4 1 55 🧠 Market Structure Pro System – MVR Market Structure Pro System – MVR is an advanced trading strategy designed to detect key reversal and trend-break zones with high precision. It combines multiple professional tools within a single algorithm — integrating market structure, dynamic channels, volatility filters, and trend confirmations — making it ideal for scalping and swing trading across different markets (Forex, indices, cryptocurrencies, or stocks). ⚙️ How it works The algorithm performs a complete structural analysis of the market through several technical layers: 🔹 1. Price Structure (BOS, Supply & Demand) The system automatically detects: Order Blocks Supply and Demand Zones Break of Structure (BOS) to identify market structure shifts This allows traders to recognize where price is likely to react or break a trend, anticipating major market movements. 🔹 2. Keltner Channels and Linear Regression The strategy uses multiple Keltner Channels with different settings to measure volatility expansion and contraction. In combination, a dynamic linear regression line shows the overall market direction, helping confirm whether price is trending or ranging. 🔹 3. Volatility and Trend Filters It integrates several complementary systems: ATR (Average True Range): measures the strength and volatility of price movement. PSAR (Parabolic SAR): identifies potential trend reversals. Supertrend: acts as the main trend filter and confirmation tool. These filters work together to avoid false signals in ranging or low-volatility conditions. 🔹 4. Swing Highs / Lows and Dynamic Lines The indicator also marks swing high and low points, helping visualize dynamic support and resistance levels and potential price reversal areas. 📈 Signal Interpretation BUY signals: Occur when price breaks a demand zone or bearish structure, while trend filters (Supertrend / PSAR) confirm bullish direction. SELL signals: Trigger when price breaks a supply zone or bullish structure, with bearish confirmation from the trend filters. These conditions can be further validated by visual confirmations from the Keltner Channel or a color change in the linear regression. Script protegido Este script se publica como código cerrado. Sin embargo, puede utilizarlo libremente y sin limitaciones: obtenga más información aquí. mariovr_usd Exención de responsabilidad La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso. 1 comentario
Strategi Pine Script®
oleh mariovr_usd
1
Bollinger Bands Breakout StrategyHey guys check out this strategy script. Chart plotting: I use a classic plot of Bollinger Bands to define a consolidation zone, I also use a separate Trend Filter (SMA). Logic: When the price is above the SMA and above the Bollinger Upper Band the strategy goes Long. When the price is below the SMA and below the Bollinger Lower Band the strategy goes Short. Simple. Exits: TP and SL are a percentage of the price. Notes: This simple strategy can be used at any timeframe (I prefer the 15min for day trading). It avoids consolidation, when the price is inside the Bollinger Bands, and has a good success rate. Adjust the Length of the BB to suit your style of trading (Lower numbers=more volatile, Higher numbers=more restrictive). Also you can adjust the Trend Filter SMA, I presonally chose the 50 SMA. Finally the SL/TP can be also adjusted from the input menu. Test it for yourself! Have great trades!
Strategi Pine Script®
oleh kostastrovas
CBC Flip StrategyThe CBC Flip Strategy is a momentum-based trading system that identifies shifts in market control by monitoring price closes relative to previous bars' highs and lows: it flips to bullish mode when the close exceeds the prior high (indicating bulls in control) and enters a long position, or to bearish mode when the close falls below the prior low (indicating bears in control) and enters a short position, all while incorporating optional confluences like higher timeframe CBC alignment, RSI thresholds (above 50 + offset for longs, below 50 - offset for shorts), and EMA positioning (above for longs, below for shorts) to filter entries; trades are restricted to a user-defined session window and direction preferences, with exits handled via tick-based TP/SL, reversal on chart or higher timeframe CBC flips, and an optional flatten at a specified time to close all positions. Number of Contracts: Adjust the quantity of contracts per trade (default: 1). SL and TP Ticks: Set stop-loss (default: 12 ticks) and take-profit (default: 24 ticks) distances from entry. Exit Strategy: Choose from TP/SL in ticks, exit on chart CBC flip (reverses on opposite signal), or exit on higher timeframe CBC flip. Flatten All: Enable/disable flattening all positions at a customizable time (default: 16:00, with adjustable hour/minute). Trading Session: Define the time window for allowing entries (default: 0800-1700). Trade Direction: Select "Both" (longs and shorts), "Only Long", "Only Short", or "Towards Daily Open" (longs if below daily open, shorts if above). Higher Timeframe CBC Confluence: Toggle use of HTF CBC alignment (default: enabled, with customizable HTF like "240"). RSI Confluence: Toggle RSI filter (default: enabled, with adjustable length=14, offset=20 for thresholds). EMA Confluence: Toggle EMA filter (default: enabled, with adjustable length=200 for position relative to price).
Strategi Pine Script®
oleh Alea_Iacta_Est_Investing
Cava Signals Backtesting v2Cava Signals Backtesting Strategy v2 (BTC) This Pine Script strategy is designed for backtesting trading signals on BTC, built upon the Cava Signals v2 framework. It integrates multiple technical indicators to identify potential buy and sell opportunities, incorporating volume analysis, momentum, and trend-following mechanisms. The strategy supports customizable parameters for trade entry, exit, take-profit, stop-loss, and DCA (Dollar-Cost Averaging) logic, optimized for BTC trading. Ideal for traders looking to test and refine their approach in a backtesting environment, this script offers flexibility to adapt to various market conditions while focusing on disciplined trade management. Always backtest thoroughly and validate performance before live use.
Strategi Pine Script®
oleh EdCava
Adaptive Trend 1m ### Overview The "Adaptive Trend Impulse Parallel SL/TP 1m Realistic" strategy is a sophisticated trading system designed specifically for high-volatility markets like cryptocurrencies on 1-minute timeframes. It combines trend-following with momentum filters and adaptive parameters to dynamically adjust to market conditions, ensuring more reliable entries and risk management. This strategy uses SuperTrend for primary trend detection, enhanced by MACD, RSI, Bollinger Bands, and optional volume spikes. It incorporates parallel stop-loss (SL) and multiple take-profit (TP) levels based on ATR, with options for breakeven and trailing stops after the first TP. Optimized for realistic backtesting on short timeframes, it avoids over-optimization by adapting indicators to market speed and efficiency. ### Principles of Operation The strategy operates on the principle of adaptive impulse trading, where entry signals are generated only when multiple conditions align to confirm a strong trend reversal or continuation: 1. **Trend Detection (SuperTrend)**: The core signal comes from an adaptive SuperTrend indicator. It calculates upper and lower bands using ATR (Average True Range) with dynamic periods and multipliers. A buy signal occurs when the price crosses above the lower band (from a downtrend), and a sell signal when it crosses below the upper band (from an uptrend). Adaptation is based on Rate of Change (ROC) to measure market speed, shortening periods in fast markets for quicker responses. 2. **Momentum and Trend Filters**: - **MACD**: Uses adaptive fast and slow lengths. In "Trend Filter" mode (default when "Use MACD Cross" is false), it checks if the MACD line is above/below the signal for long/short. In cross mode, it requires a crossover/crossunder. - **RSI**: Adaptive period RSI must be above 50 for longs and below 50 for shorts, confirming overbought/oversold conditions dynamically. - **Bollinger Bands (BB)**: Depending on the mode ("Midline" by default), it requires the price to be above/below the BB midline for longs/shorts, or a breakout in "Breakout" mode. Deviation adapts to market efficiency. - **Volume Spike Filter** (optional): Entries require volume to exceed an adaptive multiple of its SMA, signaling strong impulse. 3. **Volatility Filter**: Entries are only allowed if current ATR percentage exceeds a historical minimum (adaptive), preventing trades in low-volatility ranges. 4. **Risk Management (Parallel SL/TP)**: - **Stop-Loss**: Set at an adaptive ATR multiple below/above entry for long/short. - **Take-Profits**: Three levels at adaptive ATR multiples, with partial position closures (e.g., 51% at TP1, 25% at TP2, remainder at TP3). - **Post-TP1 Features**: Optional breakeven moves SL to entry after TP1. Trailing SL uses BB midline as a dynamic trail. - All levels are calculated per trade using the ATR at entry, making them "realistic" for 1m charts by widening SL and tightening initial TPs. The strategy enters long on buy signals with all filters met, and short on sell signals. It uses pyramid margin (100% long/short) for full position sizing. Adaptation is driven by: - **Market Speed (normSpeed)**: Based on ROC, tightens multipliers in volatile periods. - **Efficiency Ratio (ER)**: Measures trend strength, adjusting periods for trending vs. ranging markets. This ensures the strategy "adapts" without manual tweaks, reducing false signals in varying conditions. ### Main Advantages - **Adaptability**: Unlike static strategies, parameters dynamically adjust to market volatility and trend strength, improving performance across ranging and trending phases without over-optimization. - **Realistic Risk Management for 1m**: Wider SL and tiered TPs prevent premature stops in noisy short-term charts, while partial profits lock in gains early. Breakeven/trailing options protect profits in extended moves. - **Multi-Filter Confirmation**: Combines trend, momentum, and volume for high-probability entries, reducing whipsaws. The volatility filter avoids flat markets. - **Debug Visualization**: Built-in plots for signals, levels, and component checks (when "Show Debug" is enabled) help users verify logic on charts. - **Efficiency**: Low computational load, suitable for real-time trading on TradingView with alerts. Backtesting shows robust results on volatile assets, with a focus on sustainable risk (e.g., SL at 3x ATR avoids excessive drawdowns). ### Uniqueness What sets this strategy apart is its **fully adaptive framework** integrating multiple indicators with real-time market metrics (ROC for speed, ER for efficiency). Most trend strategies use fixed parameters, leading to poor adaptation; here, every key input (periods, multipliers, deviations) scales dynamically within bounds, creating a "self-tuning" system. The "parallel SL/TP with 1m realism" adds custom handling for micro-timeframes: tightened initial TPs for quick wins and adaptive min-ATR filter to skip low-vol bars. Unlike generic mashups, it justifies the combination—SuperTrend for trend, MACD/RSI/BB for impulse confirmation, volume for conviction—working synergistically to capture "trend impulses" while filtering noise. The post-TP1 breakeven/trailing tied to BB adds a unique profit-locking mechanism not common in open-source scripts. ### Recommended Settings These settings are optimized and recommended for trading ASTER/USDT on Bybit, with 1-minute chart, x10 leverage, and cross margin mode. They provide a balanced risk-reward for this volatile pair: - **Base Inputs**: - Base ATR Period: 10 - Base SuperTrend ATR Multiplier: 2.5 - Base MACD Fast: 8 - Base MACD Slow: 17 - Base MACD Signal: 6 - Base RSI Period: 9 - Base Bollinger Period: 12 - Bollinger Deviation: 1.8 - Base Volume SMA Period: 19 - Base Volume Spike Multiplier: 1.8 - Adaptation Window: 54 - ROC Length: 10 - **TP/SL Settings**: - Use Stop Loss: True - Base SL Multiplier (ATR): 3 - Use Take Profits: True - Base TP1 Multiplier (ATR): 5.5 - Base TP2 Multiplier (ATR): 10.5 - Base TP3 Multiplier (ATR): 19 - TP1 % Position: 51 - TP2 % Position: 25 - Breakeven after TP1: False - Trailing SL after TP1: False - Base Min ATR Filter: 0.001 - Use Volume Spike Filter: True - BB Condition: Midline - Use MACD Cross (false=Trend Filter): True - Show Debug: True For backtesting, use initial capital of 30 USD, base currency USDT, order size 100 USDT, pyramiding 1, commission 0.1%, slippage 0 ticks, long/short margin 0%. Always backtest on your platform and use risk management—risk no more than 1-2% per trade. This is not financial advice; trade at your own risk.
Strategi Pine Script®
oleh gopog777
2
saodisengxiaoyu-lianghua-2.1- This indicator is a modular, signal-building framework designed to generate long and short signals by combining a chosen leading indicator with selectable confirmation filters. It runs on Pine Script version 5, overlays directly on price, and is built to be highly configurable so traders can tailor the signal logic to their market, timeframe, and trading style. It includes a dashboard to visualize which conditions are active and whether they validate a signal, and it outputs clear buy/sell labels and alert conditions so you can automate or monitor trades with confidence. Core Design - Leading Indicator: You choose one primary signal generator from a broad list (for example, Range Filter, Supertrend, MACD, RSI, Ichimoku, and many others). This serves as the anchor of the system and determines when a preliminary long or short setup exists. - Confirmation Filters: You can enable additional filters that validate the leading signal before it becomes actionable. Each “respect…” input toggles a filter on or off. These filters include popular tools like EMA, 2/3 EMA crosses, RQK (Nadaraya Watson), ADX/DMI, Bollinger-based oscillators, MACD variations, QQE, Hull, VWAP, Choppiness Index, Damiani Volatility, and more. - Signal Expiry: To avoid waiting indefinitely for confirmations, the indicator counts how many consecutive bars the leading condition holds. If confirmations do not align within a defined number of bars, the setup expires. This controls latency and helps reduce late or stale entries. - Alternating Signals: An optional mode enforces alternation (long must follow short and vice versa), helping avoid repeated entries in the same direction without a meaningful reset. - Aggregation Logic: The final long/short conditions are formed by combining the leading condition with all selected confirmation filters through logical conjunction. Only if all enabled filters validate the signal (within expiry constraints) does the indicator consider it a confirmed long or short. - Visualization and Alerts: The script plots buy/sell labels at signal points, provides alert conditions for automation, and displays a compact dashboard summarizing the leading indicator’s status and each confirmation’s pass/fail result using checkmarks. Leading Indicator Options - The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include: - Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode. - Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction. - Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels. - Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span. - TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts. - Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength. - ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds. - RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends. - Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles. - Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges. Confirmation Filters - Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples: - EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels. - 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment. - RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern. - RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories. - Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade. - VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts. - ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades. - Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup. - By combining several filters you can create strict, conservative entries or looser setups depending on your goals. Range Filter Engine - A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types: - Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges. - Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments. - The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation. Signal Construction - The script computes: - leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator. - longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition. - Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger. - Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset. - Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions. Visualization - Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”). - Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning. - Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals. - Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates. Inputs and Parameters - You control the indicator from a comprehensive input panel: - Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size). - Leading Indicator: Choose the primary signal generator from the large list. - Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior. - Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales. - Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes. Alerts and Automation - The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration. Typical Workflow - Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian. - Add a few key Confirmation Filters that complement the leading signal. For example: - Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum. - Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions. - Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough. - Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly. - Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed. - For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot. Strengths and Practical Notes - Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately. - Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code. - Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset. - Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean. - Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes. Limitations and Recommendations - No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically. - Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime. - Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy. - Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results. Example Configurations - Trend-Following Setup: - Leading: Supertrend uptrend for longs and downtrend for shorts. - Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA. - Expiry: 3–4 bars to keep entries timely. - Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity. - Mean-Reversion to Momentum Crossover: - Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short). - Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation. - Expiry: 2–3 bars for responsive re-entry. - Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes. - Range Breakout Focus: - Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts. - Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold. - Expiry: 1–3 bars to act on breakout windows. - Result: Better alignment to breakout dynamics, gating trades by volatility and regime. Conclusion - This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Strategi Pine Script®
oleh saodisengSeven
Enhanced OB Retest Strategy v7.0The OB Retest Strategy is a full Order Block retest trading system that detects, plots, and trades OB zones across multiple timeframes. It uses structure breaks, retrace depth, and ATR filters to identify strong reversal or continuation setups. ⸻ ⚙️ Core Features • Multi-timeframe OB detection using break-of-structure (BOS) logic • Automatic zone creation for bullish and bearish order blocks • Smart merging of overlapping OB zones • Dynamic flip-zone logic that turns invalidated OBs into new zones • Wick zone detection for high-precision entries • ATR-based trailing stop and optional breakeven • Adjustable retrace depth, breakout %, and ATR filters • Built-in performance table showing PnL, win rate, and total trades • Fully backtestable with date range and commission control ⸻ 🧠 Logic Summary 1. Detects a BOS on the higher timeframe. 2. Identifies the last opposing candle as the valid OB. 3. Validates the OB based on ATR size and breakout strength. 4. Waits for price to retest the zone to a set depth. 5. Executes trades and manages exits using trailing stop or breakeven. 6. Flips invalidated zones automatically. ⸻ 💡 Usage Tips • Best used on 1H to 4H charts for swing setups. • Tune ATR and breakout thresholds for your market’s volatility. • Combine with higher-timeframe bias or liquidity levels for better accuracy. ⸻ ⚠️ Notes • For educational and testing purposes only. • Backtested results do not predict future performance. • Always test before live use.
Strategi Pine Script®
oleh averagemouse954
5
VWAP Retest + EMA9 Cross + Candle Pattern V2📈 VWAP Retest + EMA9 Cross + Candle Pattern Strategy_V2 Setup: This intraday momentum strategy combines 3 core elements: • VWAP Retest: Price retests VWAP within a small buffer zone • EMA9 Crossover: EMA9 crosses above VWAP within the last 3 bars • Bullish Candle Pattern: At least one bullish signal — Hammer, Engulfing, or Momentum candle A trade is triggered only during the US morning session (9:30–12:30 EST) and only if price is above yesterday’s high, suggesting strong momentum. ⚙️ Strategy Settings • Initial Capital: $100,000 • Position Sizing: 10% of equity per trade • Commission: 0.03% per trade • Slippage: 1 tick • Take Profit: +3% from entry • Stop Loss: 0.5% below VWAP at entry • Forced Exit: 1:00 PM EST 📊 Strategy Logic • VWAP Retest Filter ensures entry is near a value zone. • EMA9 Cross Confirmation aligns short-term momentum with volume-weighted price. • Bullish Candle Patterns provide price action confirmation: ○ ✅ Hammer ○ ✅ Bullish Engulfing ○ ✅ Large momentum body • Above Yesterday’s High (YH) acts as a bullish bias filter. 🧪 Backtest Results (Jan 2023 – Oct 2025) • Total Trades: 120 • Win Rate: 52.5% • Profit Factor: 1.18 • Max Drawdown: 1.22% • Net P&L: +$1,064 (+1.06%) Due to chart data limits, only part of the period may be visible on publication charts. 🔍 Chart Visuals This strategy plots: • VWAP (white) and EMA9 (orange) • Candle pattern markers: ○ “H” = Hammer ○ “BE” = Bullish Engulfing ○ “M” = Momentum Candle • “SETUP” label when all conditions are met • YH/YL labels for context — previous day’s high/low 💡 Use Case This setup is designed for intraday momentum scalping, ideal for traders who: • Trade morning breakouts • Use VWAP as a dynamic support/resistance • Want clear, rule-based entries based on both trend and price action Educational and research use - not financial advice.
Strategi Pine Script®
oleh lindittl