Strategies that learn from their own outcomes. Not backtesting — real forward-testing with automatic parameter suggestions.
Every signal outcome is tracked per agent, per regime. Win rates, PnL, and drawdowns are monitored.
Performance gaps are identified: which agents underperform in which regimes? Where can parameters improve?
The system generates deterministic parameter suggestions with supporting evidence and expected impact.
You review and approve suggestions. Approved changes create a new strategy version automatically.
Markets change. Static parameters that worked last month may underperform today.
You always have final approval. The system suggests, you decide. Full control retained.
Different parameters for different regimes. Trend agents optimize for trends, reversal agents for ranges.
Suggestions are validated against recent live data, not just historical backtests.
Let your trading strategies continuously improve based on real market performance.