TEXT TO QUANT
Backtest trading strategies written in plain English on real market data, with graded, honesty flagged reports.
Add to Claude (opens in new tab)TextToQuant turns a plain English trading idea into a real backtest on real market data. Describe a strategy in words asset, timeframe, entry and exit rules, stops and targets and it parses it into exact rules, runs the backtest, and returns a graded report with honesty flags (zero fees, missing stops, thin sample) so a result is never over-trusted.
What you can do from Claude:
• Run and rerun backtests across crypto, forex and equities, then see the full report: price chart with trade markers, equity and drawdown, trade ledger, Monte Carlo and the metrics board.
• Stress test a strategy: parameter sweeps, walk-forward tests, multi-asset checks and an overfitting verdict (Deflated Sharpe, PBO).
• See where the edge lives: performance by market regime and by indicator context.
• Compare strategy variants side by side and build shared-capital multi-asset portfolios.
• Author custom indicators in Pine Script, JavaScript or Python and use them in strategies.
• Scan the crypto market, set alerts, export a strategy to Pine Script, and share any run as a public interactive report.
Research and education only: nothing is traded and nothing is sold inside Claude. Runs bill from the same plan and credits as your TextToQuant account.
Tools
- analyze_conditions
- cancel_backtest
- cancel_portfolio_sweep
- compare_backtests
- create_scan_alert
- custom_benchmark
- delete_indicator
- delete_scan_alert
- describe_capabilities
- diff_iterations
- edit_backtest
- explain_grade
- explain_parse
- export_pine
- filter_by_context
- get_analysis
- get_backtest
- get_backtest_data
- get_candles
- get_context_trades
- get_indicator
- get_indicator_preview
- get_iterations
- get_notification_channels
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