Fast Iteration
Run deterministic tests with explicit symbol, timeframe, date window, and strategy inputs.
TVMcp helps research teams run repeatable backtests through MCP, compare strategy variants with transparent assumptions, and keep a production-grade workflow for AI-assisted iteration.
Run deterministic tests with explicit symbol, timeframe, date window, and strategy inputs.
Use one backtesting endpoint across Codex, Claude, Cursor, and other MCP-capable clients.
Invite other traders with your referral link and earn rewards when they join and top up credits.
Practical guides for backtesting workflows, validation, and MCP integrations.
A practical, non-boring workflow to backtest Pine Script with AI and keep results reproducible instead of lucky.
Where results diverge, why they diverge, and how to compare both environments without fooling yourself.
A practical optimization process focused on stability and robustness, not lucky peaks.
A fast and reliable Claude MCP setup for backtesting that avoids fragile one-off configs.
A practical Codex integration pattern for repeatable backtest research and safer iteration cycles.
A realistic Binance-focused workflow from hypothesis to decision, with guardrails that reduce false positives.
The mistakes that quietly ruin strategy confidence, plus practical ways to prevent each one.
A practical validation checklist to separate robust strategy behavior from good-looking accidents.
A clear decision framework for choosing local, cloud, or hybrid backtesting modes.
Practical MCP API patterns for smoke tests, regression checks, and controlled parameter experiments.