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Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works Long entries trigger when: - RSI reaches oversold levels, and - At least one bullish candle closes inside the lower Bollinger Band Short entries trigger when: - RSI reaches overbought levels, and - At least one bearish candle closes inside the upper Bollinger Band This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band. Important Disclaimer This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether. For best results, combine this script with: - Price action - Market structure - Higher-timeframe trend context - Previous day/week/month highs & lows - Untested liquidity levels or imbalance zones - Session timing (Asia, London, NY) Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
Strategi Pine Script®
oleh krishnaperi95
3
RSI Divergence Strategy v6 What this does Detects regular and hidden divergences between price and RSI using confirmed RSI pivots. Adds RSI@pivot entry gates, a normalized strength + volume filter, optional volume gate, delayed entries, and transparent risk management with rigid SL and activatable trailing. Visuals are throttled for clarity and include a gap-free horizontal RSI gradient. How it works (simple) 🧮 RSI is calculated on your selected source/period. 📌 RSI pivots are confirmed with left/right lookbacks (lbL/lbR). A pivot becomes final only after lbR bars; before that, it can move (expected). 🔎 The latest confirmed pivot is compared against the previous confirmed pivot within your bar window: • Regular Bullish = price lower low + RSI higher low • Hidden Bullish = price higher low + RSI lower low • Regular Bearish = price higher high + RSI lower high • Hidden Bearish = price lower high + RSI higher high 💪 Each divergence gets a strength score that multiplies price % change, RSI change, and a volume ratio (Volume SMA / Baseline Volume SMA). • Set Min divergence strength to filter tiny/noisy signals. • Turn on the volume gate to require volume ratio ≥ your threshold (e.g., 1.0). 🎯 RSI@pivot gating: • Longs only if RSI at the bullish pivot ≤ 30 (default). • Shorts only if RSI at the bearish pivot ≥ 70 (default). ⏱ Entry timing: • Immediate: on divergence confirm (delay = 0). • Delayed: after N bars if RSI is still valid. • RSI-only mode: ignore divergences; use RSI thresholds only. 🛡 Risk: • Rigid SL is placed from average entry. • Trailing activates only after unrealized gain ≥ threshold; it re-anchors on new highs (long) or new lows (short). What’s NEW here (vs. the reference) — and why you may care • Improved pivots + bar window → fewer early/misaligned signals; cleaner drawings. • RSI@pivot gates → entries aligned with true oversold/overbought at the exact decision bar. • Normalized strength + volume gate → ignore weak or low-volume divergences. • Delayed entries → require the signal to persist N bars if you want more confirmation. • Rigid SL + activatable trailing → trailing engages only after a cushion, so it’s less noisy. • Clutter control + gradient → readable chart with a smooth RSI band look. Suggested starting values (clear ranges) • RSI@pivot thresholds: LONG ≤ 30 (oversold), SHORT ≥ 70 (overbought). • Min divergence strength: 0.0 = off 3–6 = moderate filter 7–12 = strict filter for noisy LTFs • Volume gate (ratio): 1.0 = at least baseline volume 1.2–1.5 = strong-volume only (fewer but cleaner signals) • Pivot lookbacks: lbL 1–2, lbR 3–4 (raise lbR to confirm later and reduce noise) • Bar window (between pivots): Min 5–10, Max 30–60 (increase Min if you see micro-pivots; increase Max for wider structures) • Risk: Rigid SL 2–5% on liquid majors; 5–10% on higher-volatility symbols Trailing activation 1–3%, trailing 0.5–1.5% are common intraday starts Plain-text examples • BTCUSDT 1h → RSI 9, lbL 1, lbR 3, Min strength 5.0, Volume gate 1.0, SL 4.5%, Trail on 2.0%, Trail 1.0%. • SPY 15m → RSI 8, lbL 1, lbR 3, Min strength 7.0, Volume gate 1.2, SL 3.0%, Trail on 1.5%, Trail 0.8%. • EURUSD 4h → RSI 14, lbL 2, lbR 4, Min strength 4.0, Volume gate 1.0, SL 2.5%, Trail on 1.0%, Trail 0.5%. Notes & limitations • Pivot confirmation means the newest candidate pivot can move until lbR confirms it (expected). • Results vary by timeframe/symbol/settings; always forward-test. • Educational tool — no performance or profit claims. Credits • RSI by J. Welles Wilder Jr. (1978). • Reference divergence script by eemani123: • This version by tagstrading 2025 adds: improved pivot engine, RSI@pivot gating, normalized strength + optional volume gate, delayed entries, rigid SL and activatable trailing, and a gap-free RSI gradient.
Strategi Pine Script®
oleh TagsTrading
1
RSI SwingRadar🧠 Strategy Overview This long-only strategy combines RSI/MA crossovers with ATR-based risk management, designed for cleaner entries during potential bounce phases — especially tuned for assets like XMR/USDT. 🔍 Core Logic: - RSI Crossover: Entry occurs when the 14-period RSI crosses above its 14-period SMA, signaling a potential shift in momentum. - Oversold Filter: The RSI must have been below a user-defined oversold threshold (default: 35) on the previous candle, filtering for bounce setups after a pullback. - ATR-Based Stop/Target: Stop-loss is placed below the low by a user-adjustable ATR multiplier (default: 0.5×). Take-profit is calculated with a Risk:Reward multiplier (default: 4×). These elements work in tandem — RSI crossovers give momentum confirmation, oversold filtering adds context, and ATR-based exits adapt to volatility, creating a compact yet responsive strategy. 📉 Visuals: - Dynamic Bands: The chart displays the active stop-loss, entry price, and take-profit as colored bands for easy visual tracking. - Clean Overlay: Designed with simplicity — only confirmed setups are shown, keeping noise low. ✅ Suggested Use: - Works best on XMR/USDT or similarly trending assets. - Best suited for pullback entries during broader uptrends. - Adjustable for different volatility conditions and asset behaviors. ⚠️ Disclaimer - This strategy is for educational and research purposes only. - It does not guarantee profitability in any market. - Always backtest, forward-test, and understand your own risk tolerance before using any strategy in a live environment. - Past performance is not indicative of future results. - This script is not financial advice.
Strategi Pine Script®
oleh TheWaveHunter
Supertrend + RSI Strategy [Alose]This strategy combines the best of both indicators (Supertrend & RSI). As we know, Supertrend is excellent at finding changes in the market trend and thus finding the best entries, however in my opinion it has a great weakness and it is that it does not know how to find the best exit point. For this reason I decided to combine it with the RSI that we know usually knows the highest and lowest rebound points of the price, thus managing to find the best exit point for the strategy. The best thing about combining these 2 indicators is that our trades will obtain better profits in less time. LONG ENTRY When SuperTrend changes its direction and it is less than 0. LONG EXIT There are two ways to close the trade: When RSI is overbought, you can choose the "Overbought Level " inside the strategy settings (Default: 72). When SuperTrend changes its direction and it is grater than 0. SHORT ENTRY (You can enable short entries in strategy settings) When SuperTrend changes its direction and it is grater than 0. LONG EXIT There are two ways to close the trade: When RSI is oversold, you can choose the "Oversold Level " inside the strategy settings (Default: 28). When SuperTrend changes its direction and it is less than 0.
Strategi Pine Script®
oleh alorse
3