TIA RSI Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 16, 00:00 | Jan 28, 04:00 | Long | $0.5595 | $0.4547 | -18.73% |
| Dec 30, 04:00 | Jan 2, 04:00 | Long | $0.4546 | $0.5022 | +10.47% |
| Dec 5, 20:00 | Dec 28, 08:00 | Long | $0.5750 | $0.4784 | -16.8% |
| Nov 13, 00:00 | Dec 3, 12:00 | Long | $0.9260 | $0.6410 | -30.78% |
| Nov 4, 00:00 | Nov 7, 00:00 | Long | $0.8220 | $0.8250 | +0.36% |
| Oct 28, 16:00 | Nov 2, 00:00 | Long | $1.0150 | $0.9560 | -5.81% |
| Oct 23, 20:00 | Oct 25, 16:00 | Long | $1.0030 | $1.0470 | +4.39% |
| Oct 16, 04:00 | Oct 19, 12:00 | Long | $1.0750 | $1.0490 | -2.42% |
| Oct 10, 20:00 | Oct 13, 16:00 | Long | $0.9270 | $1.1620 | +25.35% |
| Sep 20, 08:00 | Oct 2, 16:00 | Long | $1.7070 | $1.5110 | -11.48% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 45.45% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
Low profit factor (0.49) indicates potential parameter optimization is needed for TIA.
At 11 trades, the algorithm filters noise while capturing significant TIA moves.
The algorithm capitalizes on TIA's characteristic volatility patterns on the 4h timeframe.
TIA liquidity levels support clean RSI execution without significant slippage impact.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for TIA with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 4h charts.
- Best paired with TIA.
- Automated execution recommended.
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