World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Walk-Forward Efficiency, parameter-stability scoring, and WFO window generation.
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Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
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Code last changed 4 months ago
Uses MIT
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The GitHub repo last changed 4 months ago, and the latest version (1.0.0) reached the registry 42 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
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Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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An MCP server for walk-forward analysis of trading strategies — Walk-Forward Efficiency ratio, parameter-stability scoring, lock-after-optimization audits, and WFO window generation.
A strategy optimized on one historical window and never re-validated on a fresh, unseen window is a curve fit until proven otherwise. Walk-forward analysis is the standard fix, but building the rolling windows correctly and scoring whether a parameter surface is a robust plateau or a fragile spike is easy to get subtly wrong by hand.
walk_forward_efficiencyComputes the Walk-Forward Efficiency ratio — out-of-sample performance as a fraction of in-sample performance — the core signal for whether an optimization generalizes.
parameter_stability_scoreScores a parameter surface for fragile curve-fit spikes vs. robust plateaus, flagging optimizations that only work at one exact parameter value.
lock_after_wfo_checkAudits whether parameters were genuinely locked after the walk-forward optimization step, or quietly re-tuned against the "out-of-sample" data — the mistake that silently invalidates a WFO result.
walk_forward_window_generatorGenerates correctly non-overlapping rolling in-sample/out-of-sample windows for a given date range and step size.
Hosted (recommended): MCPize — free tier, paid Pro tier for higher limits.
Self-host:
npm install
node server.js
Prop-firm and quant-validation tools for algo traders: prop-rules-mcp, trade-journal-mcp, payout-calc-mcp, econ-calendar-mcp, montecarlo-validator-mcp, overfitting-audit-mcp, pinescript-audit-mcp, backtest-cost-sensitivity-mcp, pinescript-mcp.
MIT