Get started

Indicators and strategies

RSI Strategy [PrimeAutomation]⯁ OVERVIEW The RSI Strategy is a momentum-driven trading system built around the behavior of the Relative Strength Index (RSI). Instead of using traditional overbought/oversold zones, this strategy focuses on RSI breakouts with volatility-based trailing stops, adaptive profit-targets, and optional early-exit logic. It is designed to capture strong continuation moves after momentum shifts while protecting trades using ATR-based dynamic risk management. ⯁ CONCEPTS RSI Breakout Momentum: Entries happen when RSI breaks above/below custom thresholds, signaling a shift in momentum rather than mean reversion. Volatility-Adjusted Risk: ATR defines both stop-loss and profit-target distances, scaling positions based on market volatility. Dynamic Trailing Stop: The strategy maintains an adaptive trailing level that tightens as price moves in the trade’s favor. Single-Position System: Only one trade at a time (no pyramiding), maximizing clarity and simplifying execution. ⯁ KEY FEATURES RSI Signal Engine • Long when RSI crosses above Upper threshold • Short when RSI crosses below Lower threshold These levels are configurable and optimized for trend-momentum detection. ATR-Based Stop-Loss A custom ATR multiplier defines the initial stop. • Long stop = price – ATR × multiplier • Short stop = price + ATR × multiplier Stops adjust continuously using a trailing model. ATR-Based Take Profit (Optional) Profit targets scale with volatility. • Long TP = entry + ATR × TP-multiplier • Short TP = entry – ATR × TP-multiplier Users can disable TP and rely solely on trailing stops. Real-Time Trailing Logic The stop updates bar-by-bar: • In a long trade → stop moves upward only • In a short trade → stop moves downward only This keeps the stop tight as trends develop. Early Exit Module (Optional) After X bars in a trade, opposite RSI signals trigger exit. This reduces holding time during weak follow-through phases. Full Visual Layer • RSI plotted with threshold fills • Entry/TP/Stop visual lines • Color-coded zones for clarity ⯁ HOW TO USE Look for RSI Breakouts: Focus on RSI crossing above the upper boundary (long) or below the lower boundary (short). These moments identify fresh momentum surges. Use ATR Levels to Manage Risk: Because stops and targets scale with volatility, the strategy adapts well to both quiet and explosive market phases. Monitor Trailing Stops for Trend Continuation: The trailing stop is the primary driver of exits—often outperforming fixed targets by catching larger runs. Use on Liquid Markets & Mid-Higher Timeframes: The system performs best where RSI and ATR signals are clean—crypto majors, FX, and indices. ⯁ CONCLUSION The RSI Strategy is a modern RSI breakout system enhanced with volatility-adaptive risk management and flexible exit logic. It is designed for traders who prefer momentum confirmation over mean reversion, offering a disciplined framework with robust protections and dynamic trend-following capability. Its blend of ATR-based stops, optional profit targets, and RSI-driven entries makes it a reliable strategy across a wide range of market conditions.
Pine Script® strategy
by ChartPrime
4
NIFTY Options Breakout StrategyThis strategy trades NIFTY 50 Options (CALL & PUT) using 5-minute breakout logic, strict trend filters, expiry-based symbol validation, and a dynamic trailing-profit engine. 1️⃣ Entry Logic Only trades NIFTY 50 options, filtered automatically by symbol. Trades only between 10:00 AM – 2:15 PM (5m bars). Breakout trigger: Price enters the buy breakout zone (high of last boxLookback bars ± buffer). Trend filter: Price must be above EMA50 or EMA200, AND EMA50 ≥ EMA100 (to avoid weak conditions). Optional strengthening: EMA20>EMA50 OR EMA50>EMA100 recent cross can be enforced. Higher-timeframe trend check: EMA50 > EMA200 (bullish regime only). Start trading options only after expiry–2 months (auto-parsed). 2️⃣ One Trade Per Day Maximum 1 long trade per day. No shorting (long-only strategy). 3️⃣ Risk Management — SL, TP & Trailing Includes three types of exits: 🔹 A) Hard SL/TP Hard Stop-Loss: -15% Hard Take-Profit: +40% 🔹 B) Step-Ladder Trailing Profit As the option price rises, trailing activates: Max Profit Reached Exit Trigger When Falls To ≥ 35% ≤ 30% ≥ 30% ≤ 25% ≥ 25% ≤ 20% ≥ 20% ≤ 15% ≥ 15% ≤ 10% ≥ 5% ≤ 0% 🔹 C) Loss-Recovery Exit If loss reaches –10% but then recovers to 0%, exit at breakeven. 4️⃣ Trend-Reversal Exit If price closes below 5m EMA50, the long is exited instantly. 5️⃣ Optional Intraday Exit EOD square-off at 3:15 PM. 6️⃣ Alerts for Automation The strategy provides alerts for: BUY entry TP/SL/Trailing exit EMA50 reversal exit EOD exit
Pine Script® strategy
by maheshxlent
Nifty Breakout Levels Strategy (v7 Hybrid)Nifty Breakout Levels Strategy (v7 Hybrid – Compounding from Start Date) Instrument / TF: Designed for current-month NIFTY futures on 1-hour timeframe, with at most 1 trade per day. Entry logic: Uses a 10-bar breakout box with a 0.3% buffer, plus EMA-based trend + proximity filter. Longs: price in breakout-high zone, above EMA50/EMA200 and within proximityPts. Shorts: price in breakout-low zone and strong downtrend (EMA10 < EMA20 < EMA50 < EMA200, price below EMA200). Trades only when ATR(14) > atrTradeThresh and during regular hours (till 15:15). Risk / exits: Stop loss is ATR-adaptive – max of slBasePoints (100 pts) and ATR * atrSLFactor; TP is fixed (tpPoints, e.g. 350 pts). Longs have stepped trailing profit levels (100/150/200/250/320 pts) that lock in gains on pullbacks. Shorts have trailing loss-reduction levels (80/120/140 pts) to cut improving losses. Additional exit: 1H EMA50 2-bar reversal against the position, plus optional EOD flatten at 3:15 PM. Compounding engine: From a chosen start date, equity is rebased to startCapital, and lot size scales dynamically as equity / capitalPerLot, with automatic lot reductions at three drawdown thresholds (ddCut1 / 2 / 3). Automation: All entries and exits are exposed via alertconditions (long/short entry & exit) so the strategy can be connected to broker/webhook automation.
Pine Script® strategy
by maheshxlent
MTF EMA Hariss 369The strategy has been prepared in a simplistic manner and easy to understand the concept by any novice trader. Indicators used: Current Time frame 20 EMA- Gives clear look about current time frame dynamic support and resistance and trend as well. Higher Time Frame 20 EMA: Gives macro level trend, support and resistance Kama: Capture volatility and trend direction. RVOL: Main factor of price movement. Buy when price closes above current time frame 20 ema and current time frame 20 ema is above higher time frame 20 ema. Stop loss just below the low of last candle. One can use current time frame 20 ema, higher time frame 20 ema or kama as stop loss depending upon type of asset class and risk appetite. The ideal way is to keep 20 ema as trailing sl if one wants to trail with trend. Sell when price closes below current time frame 20 ema and current time frame 20 ema is lower than higher time frame 20 ema. Stop loss just above high of last candle. Ideal target is 1.5 or 2 times of stop loss. Entry and exit time depends on trading style. Eg. if you want to enter and exit in 5 min time frame, then choose 15 min or 1h as higher time frame as trend filter. Buy and sell signals are also plotted based on this strategy. One should always go with the higher time frame trend. Opting higher time frame trend filter always filters out market noises.
Pine Script® strategy
by Hariss369
HMA+RVOL Strategy Hariss 369The Hull Moving Average (HMA) is a smooth, fast, and highly responsive moving average created by Alan Hull. It reduces lag significantly while still maintaining smoothness, making it one of the most popular tools for trend detection and entries. It is widely used for trend filter. Hull Moving Average(HMA) with RVOL strengthens the trend as volume is prime factor of price movement. Trading with HMA: Simple method is buy when price closes above HMA , stop less below the low of last candle and target is 1.5 or 2 times of stop loss. The reverse is for sell. The HMA automatically turns to green on bull trend and red on bear trend for better visual confirmation. Adding RVOL to HMA is better method of trading. Buy signal is initiated when price closes above HMA and RVOL is greater than 1.2. Sell signal is initiated when price closes below 89 HMA and rovl is greater than 1.2. One can change the value of RVOL according to trading style and type asset being traded. It is a back tested strategy.
Pine Script® strategy
by Hariss369
DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically. It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline. When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets. This system adapts to volatility, filters noise, and seeks sustained directional moves. ⯁ KEY FEATURES DEMA-Volatility Hybrid Filter Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline. Directional Shift Entries Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value). Noise Reduction Mechanism ATR range caps extreme moves and prevents false flips during choppy volatility spikes. Multi-Level Take Profits Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction. Volatility-Adaptive Targets ATR multiplier ensures profit targets expand/contract based on market conditions. Single-Direction Exposure No pyramiding; the strategy flips position only when trend shifts. Automated Trade Finalization When all profit targets trigger, the position is fully closed. ⯁ STRATEGY LOGIC Trend Direction: DEMA baseline is modified using ATR upper/lower envelopes. • If the adjusted DEMA rises above previous value → Bullish • If it falls below previous value → Bearish Entry Rules: • Enter Long when bullish shift occurs and no long position exists • Enter Short when bearish shift occurs and no short position exists Take Profit Logic: 3 partial exits for each trade based on ATR: • TP1 = ±1× ATR • TP2 = ±2× ATR • TP3 = ±3× ATR Profit distribution: 30% / 30% / 40% Exit Conditions: • Exit when all TPs hit (full scale-out if sum of all TPs 100%) • Opposite trend signal closes current trade and opens new one ⯁ WHEN TO USE Trending environments Medium–high volatility phases Swing trading and intraday trend plays Markets that respect momentum continuation (crypto, indices, FX majors) ⯁ CONCLUSION This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Pine Script® strategy
by ChartPrime
5
Crypto Grid 2025+ Long Only (Asym TP)Crypto Grid 2025+ Long Only (Asymmetric Take-Profit) is a long-only mean-reversion grid strategy designed for intraday cryptocurrency trading. The core idea is to accumulate long positions as price moves downward within a locally defined price range and to exit positions on upward retracements. The strategy automatically builds a multi-level grid between the highest and lowest price over a user-defined lookback period (“range length”). Each grid level acts as a potential entry point when price crosses it from above. Key Features 1. Long-only grid logic The strategy opens long positions only, progressively increasing exposure as price moves into lower grid levels. 2. Asymmetric take-profit mechanism Instead of taking profit strictly at the next grid level, the strategy allows targeting multiple levels above the entry point. This increases the average profit per winning trade and shifts the reward-to-risk profile toward larger, less frequent wins. 3. Optional partial take-profit A portion of each trade can be closed at the nearest grid level, while the remainder is held for a more distant asymmetric target. This balances consistency and profit potential. 4. Volume-based market filter Entries can be restricted to periods of healthy market activity by requiring volume to exceed a moving-average baseline. 5. Capital-scaled position sizing Position size is determined by risk percentage, grid spacing, and a dynamic sizing mode (original / conservative / aggressive). 6. Built-in risk controls global stop below the lower boundary of the range, global take-profit above the upper boundary, automatic shutdown after a configurable loss-streak. Market Philosophy This strategy belongs to the mean-reversion family: it expects short-term overshoots to revert back toward mid-range liquidity zones. It is not trend-following. It performs best in choppy, range-bound, or slow-grinding markets — especially on liquid crypto pairs. Recommended Use Cases Short timeframes (1–15 minutes) High-liquidity crypto pairs Sideways or rotational price action Exchanges with low fees (due to higher order count) Not Intended For Strong trending markets without pullbacks Assets with thin order books Use with leverage without additional risk controls Summary Crypto Grid 2025+ Long Only (Asymmetric TP) is a refined grid-based mean-reversion strategy optimized for modern crypto markets. Its asymmetric take-profit framework is specifically engineered to reduce the classical issue of “small wins and large occasional losses” found in traditional grid systems, giving it a more favorable long-term trade distribution.
Pine Script® strategy
by RomanEnlil
Oracle Protocol — Arch Public (Testing Clone) Oracle Protocol — Arch Public Series (testing clone) This model implements the Arch Public Oracle structure: a systematic accumulation-and-distribution engine built around a dynamic Accumulation Cost Base (ACB), strict profit-gate exit logic, and a capital-bounded flywheel reinvestment system. It is designed for transparent execution, deterministic behaviour, and rule-based position management. Core Function Set 1. Accumulation Framework (ACB-Driven) The accumulation engine evaluates market movement against defined entry conditions, including: Percentage-based entry-drop triggers Optional buy-below-ACB mode Capital-gated entries tied to available ledger balance Fixed-dollar and min-dollar entry rules (as seen in Arch public materials) Automated sizing through flywheel capital Range-bounded ledger for controlled backtesting input Each qualifying buy updates the live ACB, maintains the internal ledger, and forms the next reference point for exit evaluation. No forecasting mechanisms are included. 2. Profit-Gate Exit System Exits are governed by the standard Arch public approach: A sealed ACB reference for threshold evaluation Optional live-ACB visibility Profit-gate triggers defined per asset class Candle-confirmation integration (“ProfitGate + Candle” mode) Distribution only when the smallest active threshold is met This provides a consistent cadence with published Arch diagrams and PDFs. 3. Once-Per-Rally Governance After a distribution, the algorithm locks until price retraces below the most recent accumulation base. Only after re-arming can the next profit gate activate. This prevents over-frequency selling and aligns with the public-domain Oracle behaviour. 4. Quiet-Bars & Threshold Cluster Control A volatility-stabilisation layer prevents multiple exits from micro-fluctuations or transient spikes. This ensures clean execution during fast markets and high volatility. 5. Flywheel Reinvestment Distribution proceeds automatically return to the capital pool where permitted, creating a closed system of: Entry sizing Exit proceeds Ledger-managed capital state All sizing respects capital boundaries and does not breach dollar floors or overrides. 6. Automation Hooks and Integration The script exposes: 3Commas-compatible JSON sizing Entry/exit signalling via alertcondition() Deterministic event reporting suitable for external automation This allows consistent deployment across automated execution environments. 7. Visual Tooling Optional displays include: Live ACB line Exit-guide markers Capital, state, and ledger panels Realized/unrealized outcome tracking based on internal logic only Visual components do not influence execution rules. Operating Notes This model is rule-based, deterministic, and non-predictive. It executes only according to the explicit thresholds, capital limits, and state transitions defined within the script. No discretionary or forward-looking logic is included.
Pine Script® strategy
by gleefulJaguar47150
CSS_LFU_v0.1Overview: A multi-factor, market-adaptive swing strategy designed for intraday and short-term crypto trading. It synthesizes momentum, volatility, and trend signals into a unified composite score over a configurable lookback window. The strategy leverages a modular, signal-weighted approach to ensure robust entry timing while remaining compatible with human-in-the-loop validation and algorithmic execution. Core Modules: AJFFRSI (RSX-based Momentum): Measures smoothed price momentum with noise-reduction filters to detect crossovers relative to the QQE trailing stop. QQE (Quantitative Qualitative Easing RSI): A modified RSI with a dynamic trailing stop that adapts to short-term volatility, identifying exhaustion and potential reversal points. Keltner Channel Zones: Determines overextension relative to trend, providing buy/sell zones based on ATR-banded EMA. WaveTrend Oscillator: Confirms short-term swings and market direction through smoothed oscillator cross signals. Rolling Composite Score: Aggregates module signals over a unified lookback (e.g., 144 bars) to normalize noise and capture consistent trends. Signal Logic: Each module outputs a discrete score (+1 / 0 / -1). The rolling composite score sums all module scores over the lookback period. Long positions trigger when the rolling score meets or exceeds the long threshold. Short positions trigger when the rolling score meets or falls below the short threshold. Multi-dimensional signal aggregation reduces false positives from single indicators. Rolling lookback ensures score normalization across different volatility regimes. Highly modular: easy to adapt modules or weights to different instruments or timeframes. Fully compatible with automated execution pipelines, including custom exchange screener bots. Use Case: Ideal for quant-driven altcoin or multi-asset strategies where high-frequency validation is critical and sequential module weighting enhances trend flip detection.
Pine Script® strategy
by losfalco-User-1f670
EMA Trend Pro [Hedging & Fixed Risk] This strategy is a comprehensive trend-following system designed to capture significant market movements while strictly managing risk. It combines multiple Exponential Moving Averages (EMAs) for trend identification, ADX for trend strength filtering, and Volume confirmation to reduce false signals. Key Features: Hedging Mode Compatible: The script is designed to handle Long and Short positions independently. This is ideal for markets where trends can reverse quickly or for traders who prefer hedging logic (requires hedging=true in strategy settings). Professional Risk Management: Unlike standard strategies that use fixed contract sizes, this script calculates Position Size based on Risk. You can define a fixed risk per trade (e.g., 1% of equity or $100 fixed risk). The script automatically adjusts the lot size based on the Stop Loss distance (ATR). Multi-Stage Take Profit: The strategy scales out positions at 3 different levels (TP1, TP2, TP3) to lock in profits while letting the remaining position ride the trend. Strategy Logic: Trend Identification: Long Entry: EMA 7 > EMA 14 > EMA 21 > EMA 144 (Bullish Alignment). Short Entry: EMA 7 < EMA 14 < EMA 21 < EMA 144 (Bearish Alignment). Filters: ADX Filter: Entries are only taken if ADX (14) > Threshold (default 20) to ensure the market is trending, avoiding chopping ranging markets. Volume Filter: Current volume must exceed the 20-period SMA volume by 10% to confirm momentum. Exits & Trade Management: Stop Loss: Dynamic SL based on ATR (e.g., 1.8x ATR). Breakeven: Once TP1 is hit, the Stop Loss is automatically moved to Breakeven to protect capital. Take Profits: TP1: 1x Risk Distance (30% pos) TP2: 2x Risk Distance (50% pos) TP3: 3x Risk Distance (Remaining pos) Settings Guide: Risk Type: Choose between "Percent" (of equity) or "Fixed Amount" (USD). Risk Value: Input your desired risk (e.g., 1.0 for 1% risk). Fee %: Set your exchange's Taker fee (e.g., 0.05 or 0.06) for accurate backtesting. ADX Threshold: Adjust to filter out noise (Higher = Stricter trend requirement). Disclaimer: This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Please use proper risk management.
Pine Script® strategy
by misusu
Volume weighted average price band strategy [Kevin-Patrick]VWAP Bands strategy, Credit VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals. Key Features Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis. Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements. Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions. Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones. Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions. Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups. + Strategy setting by Kevin-Patrick
Pine Script® strategy
by Kevin-Patrick
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Pine Script® strategy
by Hash_Capital
RSI-Adaptive T3 & SAR Strategy [PrimeAutomation]⯁ OVERVIEW The RSI-Adaptive T3 and SAR Confluence Strategy combines adaptive smoothing with dynamic trend confirmation to identify precise trend reversals and continuation opportunities. It fuses the power of an RSI-based adaptive T3 moving average with the Parabolic SAR filter , aiming to trade in harmony with dominant momentum shifts while maintaining tight control through automatic stop-loss placement. The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson, designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations. To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market. ⯁ LOGIC The T3 moving average length dynamically adjusts based on RSI values — when RSI is high, the smoothing period shortens to react faster; when RSI is low, the period increases for stability in slow markets. A Parabolic SAR filter confirms directional bias, ensuring trades only occur in alignment with the broader market trend. Long Entries: Trigger when the T3 curve crosses upward while the current price remains above the SAR — signaling bullish momentum alignment. Short Entries: Trigger when the T3 crosses downward while the price remains below the SAR — confirming bearish trend alignment. Stops: Dynamic stops are placed using the highest or lowest price over a set lookback period, adapting automatically to market volatility. ⯁ FEATURES RSI-Adaptive T3 Filter: Adjusts smoothing in real time to market conditions, blending responsiveness with noise reduction. SAR Confluence Check: Prevents counter-trend entries by confirming momentum direction via the Parabolic SAR. Automatic Stop Placement: Uses recent highs or lows as stop-loss anchors, minimizing risk exposure. Color-coded Visualization: The T3 line dynamically changes color based on slope direction, making momentum shifts visually intuitive. Smoothed Trend Structure: Reduces market noise, allowing cleaner, more reliable trend recognition across different assets. ⯁ CONCLUSION The RSI-Adaptive T3 and SAR Confluence Strategy delivers an advanced fusion of adaptive smoothing and structural confirmation. By combining RSI-driven reactivity with Parabolic SAR trend validation, this strategy offers a balanced approach to identifying sustainable momentum reversals while maintaining strong risk management through automatic stop levels. Ideal for traders who seek precision entries aligned with adaptive trend dynamics.
Pine Script® strategy
by ChartPrime
11