| Strategy Type | Momentum / Mean Reversion Hybrid |
| Market Bias | Adaptive - RSI-based directional trading |
| Timeframe | 15-minute to 1-hour charts |
| Holding Period | 30 minutes to full session (intraday) or 1-3 days (swing) |
| Risk Reward Ratio | 1:1.5 to 1:2.5 |
| Capital Required | $4,000-$20,000 depending on contract (Micro MHG for smaller accounts, full-size HG for larger; E-mini QC also available) |
| Best Market Conditions | Both trending and ranging markets with RSI adaptation |
| Key Concept | Use RSI as primary indicator for momentum direction and overbought/oversold reversals |
Start with the standard 14-period RSI for copper trading. This provides a good balance between responsiveness and smoothness. As you gain experience, you can experiment with RSI(10) for slightly more signals or RSI(21) for fewer, smoother signals.
Not automatically. RSI below 30 indicates oversold conditions, but copper can stay oversold in strong downtrends. Wait for RSI to start turning UP from oversold, and confirm with a bullish candle pattern before entering long.
Momentum trading follows RSI direction (long when above 50, short when below). Reversal trading fades RSI extremes (long at 30, short at 70). Use momentum in trending markets, reversal in ranging markets.
Bearish divergence: Price makes higher high but RSI makes lower high. Bullish divergence: Price makes lower low but RSI makes higher low. Draw a line connecting the price highs/lows and RSI highs/lows - they should slope in opposite directions.
Copper is driven by industrial demand cycles. Strong demand can create extended uptrends where RSI stays above 70 for days or weeks. This is why you shouldn't automatically short copper just because RSI is 'overbought' - confirm with reversal signals.
Use higher timeframe (daily/4-hour) RSI to determine direction - only trade in that direction. Use lower timeframe (15-min/1-hour) RSI for entry timing. For example, if daily RSI > 50, only take long signals on the 15-minute chart.
A failure swing occurs when RSI fails to make a new extreme on its second attempt. Example: RSI drops to 28, bounces to 38, pulls back to 33 (fails to reach 28 again), then breaks above 38. This is a powerful reversal signal.
In bull markets, RSI tends to oscillate 40-80 (not 30-70). Identify the range by observing where RSI finds support and resistance over 20-40 bars. Buy pullbacks to RSI 40-50 in bull markets instead of waiting for 30.
Yes, EMA confirmation improves RSI signals. Take RSI long signals only when price is above 21 EMA. Take RSI short signals only when price is below 21 EMA. Skip trades when RSI and EMA conflict.
Key alerts: RSI crosses below 30 (oversold), RSI crosses above 30 from below (reversal), RSI crosses above 50 (bullish momentum), RSI crosses below 50 (bearish momentum), RSI crosses above 70 (overbought), RSI crosses below 70 from above (reversal).
Backtest RSI periods (7, 10, 14, 21) on 2+ years of copper data. Measure win rate, profit factor, and max drawdown for each. Typically RSI(14) or RSI(10) works best for copper intraday. Use walk-forward testing to validate.
Score RSI level (0-2 points), direction (0-2 points), rate of change (0-2 points), divergence (0-3 points), and multi-timeframe alignment (0-2 points). Total possible: 9 points. Trade with score ≥ 6 for strong signals, ≥ 5 for moderate.
Calculate RSI range and average over lookback. Trending: Range > 50 + stays one side of 50. Mean-reverting: Range > 50 + crosses 50 frequently. Volatile: Range > 60 + hits extremes repeatedly. Compressed: Range < 25. Adapt strategy to regime.
Adaptive parameters adjust based on conditions. Period: Base × (Current ATR / Average ATR). Levels: Rolling 10th/90th percentile instead of fixed 30/70. Thresholds: Shift based on RSI average (bull/bear regime). This improves consistency across market conditions.
Integrate: (1) Regime detection (classify market), (2) Signal generation (scoring system), (3) Adaptive parameters (volatility-adjusted), (4) Risk management (score-based sizing), (5) Performance tracking (by regime/signal type). Test thoroughly before live trading.
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