Basket evidence
EGLDUSDT Max Pain & Max Gain Wave16
Published RA-Trader basket simulation evidence for EGLDUSDT aggressive. This is historical simulation evidence, not an investment promise.
Metrics
533.73%historical simulation return
-19.42%maximum drawdown
1.89profit factor
54.18%win rate across 251 trades
Tested window: 2025-03-10 to 2025-08-19. Starting balance: 10,000. Ending balance: 63,373.17.
Included Strategy Modules
| Strategy ID | Timeframe | Family |
|---|---|---|
| inside_bar_fakey_reversal#v13e38cf0e7@rr2 | 15 | inside_bar_fakey_reversal#v13e38cf0e7@rr2 |
| inside_bar_trend_breakout#v1173569498@rr2 | 60 | inside_bar_trend_breakout#v1173569498@rr2 |
| inside_bar_breakout#vc490300fcd@rr2 | 60 | inside_bar_breakout#vc490300fcd@rr2 |
| ny_opening_range_breakout#v04a6f73120@rr2 | 60 | ny_opening_range_breakout#v04a6f73120@rr2 |
| ny_opening_range_breakout#v04a6f73120@rr3_10x | 60 | ny_opening_range_breakout#v04a6f73120@rr3_10x |
| ny_opening_range_breakout#v04a6f73120@rr_struct_pd | 60 | ny_opening_range_breakout#v04a6f73120@rr_struct_pd |
| inside_bar_session_breakout#v66656dbcd4@rr2 | 60 | inside_bar_session_breakout#v66656dbcd4@rr2 |
| inside_bar_fakey_reversal#v13e38cf0e7@rr3_10x | 15 | inside_bar_fakey_reversal#v13e38cf0e7@rr3_10x |
| ny_opening_range_breakout#v5cd18db11c@rr_struct_pd | 240 | ny_opening_range_breakout#v5cd18db11c@rr_struct_pd |
| doji_reclaim_breakout#v85efa0644a@rr2 | 15 | doji_reclaim_breakout#v85efa0644a@rr2 |
| inside_bar_breakout#v6fa10b6e99@rr2 | 60 | inside_bar_breakout#v6fa10b6e99@rr2 |
| stop_hunt_reclaim#v4bdd108d4e@rr3_10x | 60 | stop_hunt_reclaim#v4bdd108d4e@rr3_10x |
| equal_high_low_liquidity_raid#vd23eb43225@rr3_10x | 60 | equal_high_low_liquidity_raid#vd23eb43225@rr3_10x |
| inside_bar_range_breakout#vdef001a01b@rr2 | 60 | inside_bar_range_breakout#vdef001a01b@rr2 |
Monthly Returns
| Month | Return |
|---|---|
| 2025-03 | 41.25% |
| 2025-04 | 87.31% |
| 2025-05 | 10.17% |
| 2025-06 | 35.17% |
| 2025-07 | 32.2% |
| 2025-08 | 21.67% |
Past Performance Disclaimer
Historical simulations/backtests can fail in live trading because of market regime changes, slippage, fees, exchange outages, liquidity, and user configuration. This page is evidence, not investment advice.