QTUM MACD Strategy (1h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 27, 20:00 | Jan 28, 04:00 | Long | $1.2750 | $1.2490 | -2.04% |
| Jan 26, 02:00 | Jan 27, 10:00 | Long | $1.2420 | $1.2600 | +1.45% |
| Jan 25, 10:00 | Jan 25, 13:00 | Long | $1.2840 | $1.2710 | -1.01% |
| Jan 23, 17:00 | Jan 24, 16:00 | Long | $1.2990 | $1.2780 | -1.62% |
| Jan 23, 13:00 | Jan 23, 14:00 | Long | $1.2810 | $1.2710 | -0.78% |
| Jan 22, 23:00 | Jan 23, 06:00 | Long | $1.2960 | $1.2700 | -2.01% |
| Jan 21, 20:00 | Jan 22, 07:00 | Long | $1.3300 | $1.3180 | -0.9% |
| Jan 21, 15:00 | Jan 21, 17:00 | Long | $1.3330 | $1.2970 | -2.7% |
| Jan 21, 01:00 | Jan 21, 12:00 | Long | $1.3320 | $1.3020 | -2.25% |
| Jan 19, 11:00 | Jan 20, 08:00 | Long | $1.3620 | $1.3450 | -1.25% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 26.39% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.91x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 72 signals offer many compounding opportunities but require strict execution discipline.
Time-of-day filtering may improve results: analyze when QTUM shows strongest MACD response.
Best results occur when QTUM's 1h trend aligns with higher timeframe momentum.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for QTUM with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- 26.39% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us