4H Range Breakout Strategy — ETH 4H optimized

4H Range Breakout Strategy — with Regime Auto-Tuning, Fixed-Risk Sizing & Forward Plan (no-repaint)

What it is
A rules-based breakout strategy that trades the confirmed prior 4H range (no repaint), then adapts to market regime (Trend / Range / High-Vol) and sizes positions by fixed account risk. It includes a forward plan (projected SL/TP levels), a scenario engine (Breakout / Retest / Failed-breakout paths), and optional Pro signals that require volume/RSI confirmation.

Why this is original/useful
All components are designed to work together around a single idea: only trade when price closes beyond the prior 4H range and the market conditions justify it. Filters (EMA200/ADX, volatility, volume) gate entries; risk is standardized in % of equity; exits combine TP1 scale-out + dynamic BE + ATR chandelier. The scenario/forward tools help users plan trades without repainting.

How it works (logic)

Higher-TF range: We fetch previous 4H High/Low (confirmed, lookahead_off).
Breakout triggers:
– Long when close > (4H High + buffer).
– Short when close < (4H Low − buffer).
Filters:
– Trend: Daily EMA200 and/or ADX with a minimum threshold.
– Volatility/Volume: ATR>SMA(ATR) and Volume>SMA(Vol).
– Optional RSI guard (avoid OB/OS extremes).
Stops/Targets:
– Initial stop = ATR-based (or %).
– TP Final = ATR multiple or R multiple (user-selectable).
– TP1 scale-out moves the rest to breakeven, then trails via ATR chandelier.
Cool-down: Blocks immediate re-entries for N bars.
Fixed-risk sizing: Each trade risks a fixed % of equity (default 0.5%), respecting min/step and a max exposure cap.
Kill-Switch (prop-style): Stops new entries after a daily loss limit or a losing streak; resets per rules.
Regime Auto-Tune: Uses ADX, EMA200 Daily slope and ATR z-score to tighten/loosen buffers, targets and trailing in Trend / Range / High-Vol regimes.
Forward Plan & Scenarios: Projects next SL/TP lines and labels; draws primary path (Breakout/Retest/Failed) towards nearest HTF S/R (from pivots) for planning only (no orders).
No-repaint policy: All signals use bar closes and request.security(..., lookahead_off). No future-bar data, no repainting.

Default Properties & Backtest Settings

1. Symbol/TF: Works on crypto majors; authors’ defaults typically H1 / M15 / 4H profiles.
   
2. Initial capital: 10,000.
   
3. Commission: 0.04% per side (adjust to your venue).
   
4. Slippage: 2 ticks (adjust to symbol tick size/liquidity).
   
5. Position sizing: Fixed-risk = 0.5% of equity per trade (≤1% recommended).
   
6. Pyramiding: 0.
   
7. Sample size: Use a dataset large enough to obtain >100 trades before drawing conclusions (e.g., 1–3 years on BTC/ETH M15/H1).
   

These defaults are intentionally conservative and should be kept when publishing.
How to use

1. Choose a TF profile (M15/H1/4H) and keep the default risk.
   
2. Make sure Commission/Slippage match your market.
   
3. Use the Forward Plan / Scenario labels to plan entries around the breakout; the lines are projections (not signals).
   
4. Optionally toggle Pro signals to see stricter, volume-supported entries (visual only).
   
5. Review the Kill-Switch and cool-down if you’re prop-testing.
   

Limitations & notes

• Not financial advice. Trend/range detection and S/R from pivots are heuristic and can fail in chop or news.
  
• Do not over-optimize parameters on a single symbol/TF; validate on out-of-sample data.
  
• The “Pro signals” are markers only; orders are placed by the core breakout logic.
  

Credits

Pine built-ins (RSI/ADX/ATR), EMA200. All other logic, regime control, fixed-risk sizing, kill-switch and forward/scenario modules implemented by the author for this strategy.

Changelog: v1.0 – initial public release with regime auto-tune, fixed-risk sizing, forward plan & Pro markers.