Basket evidence

ALGOUSDT Max Pain & Max Gain Wave16

Published RA-Trader basket simulation evidence for ALGOUSDT aggressive. This is historical simulation evidence, not an investment promise.

Metrics

5,280.31%historical simulation return
-25.42%maximum drawdown
2.13profit factor
57.39%win rate across 460 trades

Tested window: 2025-02-01 to 2026-02-01. Starting balance: 10,000. Ending balance: 538,031.45.

Included Strategy Modules

Strategy IDTimeframeFamily
wyckoff_spring_upthrust#v4a04a90625@rr_struct_pd240wyckoff_spring_upthrust#v4a04a90625@rr_struct_pd
wyckoff_spring_upthrust#vef828dce52@rr2240wyckoff_spring_upthrust#vef828dce52@rr2
inside_bar_range_breakout#v7faf81ca76@rr_struct_pd240inside_bar_range_breakout#v7faf81ca76@rr_struct_pd
wyckoff_spring_upthrust#veabd8d2e21@rr_struct_pd240wyckoff_spring_upthrust#veabd8d2e21@rr_struct_pd
inside_bar_breakout#vdd8b798389@rr_struct_pd240inside_bar_breakout#vdd8b798389@rr_struct_pd
wyckoff_spring_upthrust#ve82e73e261@rr_struct_pd60wyckoff_spring_upthrust#ve82e73e261@rr_struct_pd
wyckoff_spring_upthrust#v2f0e4fde9d@rr_struct_pd60wyckoff_spring_upthrust#v2f0e4fde9d@rr_struct_pd
wyckoff_spring_upthrust#v4a04a90625@rr3_10x240wyckoff_spring_upthrust#v4a04a90625@rr3_10x
doji_reclaim_breakout#ve7e2354304@rr2240doji_reclaim_breakout#ve7e2354304@rr2
wyckoff_spring_upthrust#v408a082014@rr_struct_pd60wyckoff_spring_upthrust#v408a082014@rr_struct_pd
inside_bar_breakout#v4329e56c3e@rr_struct_pd60inside_bar_breakout#v4329e56c3e@rr_struct_pd
inside_bar_session_breakout#v3b0066f0a4@rr_struct_pd60inside_bar_session_breakout#v3b0066f0a4@rr_struct_pd
daily_compression_expansion#v66e926f39f@rr2240daily_compression_expansion#v66e926f39f@rr2
compression_breakout_followthrough#v7c5e34686f@rr2240compression_breakout_followthrough#v7c5e34686f@rr2

Monthly Returns

MonthReturn
2025-02105.44%
2025-03122.84%
2025-0413.5%
2025-0541.59%
2025-069.62%
2025-07135.4%
2025-0835.4%
2025-095.21%
2025-109.4%
2025-1116.16%
2025-1257.21%
2026-01-6.25%
2026-026.21%

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.