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walkforward-validator-mcp

by Tyler FrancisUpdated Oct 1, 2026

Walk-forward robustness testing for algo/quant strategies — Walk-Forward Efficiency ratio, parameter-stability scoring (catches fragile curve-fit spikes vs. robust plateaus), a lock-after-optimization audit for hand-tuning violations, and a WFO window generator. Complements pure Monte Carlo/overfitting checks with the time-and-parameter-robustness angle they don't cover.

walk-forward
optimization
robustness
+3
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How to pay

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Monthly billing

$15/month

Predictable monthly cost with included usage. Best for steady, high-volume traffic.

  • Unlimited tools within plan limits
  • One API key, billed once a month
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Is the optimum a plateau or a spike?

Walk-forward robustness testing for algo strategies.

Tools

  • walk_forward_efficiency: out-of-sample vs in-sample efficiency ratio.
  • parameter_stability_score: separates robust plateaus from fragile curve-fit spikes.
  • lock_after_wfo_check: audits for hand-tuning after optimization.
  • walk_forward_window_generator: anchored or rolling WFO windows.

Pricing

Free: 10 calls a day. Pro: unlimited. Static, deterministic checks, no LLM calls, no data stored. Your input is analysed in memory and discarded.