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TEXT TO QUANT

Claude connectorPartner — verified

Backtest trading strategies written in plain English on real market data, with graded, honesty flagged reports.

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Tools
77

exposed by this connector

Movement

From our daily snapshots over the last 30 days.

Rank by popularity

#973of 5,183138places up24h—7d
#778#1,365#1,952#2,539Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

Rank by trending score

#7of 2,4543places up24h—7d
#1#206#411#616Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

Popularity score

10,518+64024h—7d
4,1195,8657,6119,357Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

Trending score

5,128,156+2,040,57824h—7d
01,409,3652,818,7304,228,095Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

In its categories

How this connector compares with others in the same category. Positions are counted within the category, not across the whole directory.

Financial services151st of 691 by popularity · 2nd of 364 by trending score
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Data analytics246th of 1,936 by popularity · 2nd of 937 by trending score
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Developer tools120th of 934 by popularity · 2nd of 426 by trending score
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Productivity491st of 2,822 by popularity · 3rd of 1,305 by trending score
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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.

Screenshots

  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot

Example prompts

  • “Show my BTCUSDT 1d breakout backtest”
  • “Show the equity curve and drawdown for this run”
  • “How does the Monte Carlo look for this strategy?”
  • “Which market regimes does this strategy make its money in?”
  • “Is this strategy overfit?”

Install

Add TextToQuant as an MCP connector on a Messages API request (beta header anthropic-beta: mcp-client-2025-04-04):

"mcp_servers": [{
  "type": "url",
  "name": "texttoquant",
  "url": "https://www.texttoquant.com/api/mcp",
  "authorization_token": "<OAuth access token obtained from the TextToQuant authorization server>"
}]

Docs and the OAuth flow: https://docs.texttoquant.com/api/mcp

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
Show all 77
  • get_candles
  • get_context_trades
  • get_indicator
  • get_indicator_preview
  • get_iterations
  • get_notification_channels
  • get_overfit_verdict
  • get_plans
  • get_portfolio
  • get_portfolio_analysis
  • get_portfolio_sweep
  • get_profiler
  • get_regime_edge
  • get_usage
  • lint_indicator
  • list_backtests
  • list_context_dimensions
  • list_examples
  • list_indicators
  • list_markets
  • list_portfolios
  • list_scan_alerts
  • manage_webhooks
  • market_regime
  • market_sectors
  • organize_history
  • parse_portfolio
  • parse_strategy
  • preview_indicator
  • preview_js_indicator
  • preview_py_indicator
  • publish_to_gallery
  • refine_context
  • rephrase_strategy
  • rsps_matrix
  • run_backtest
  • run_portfolio
  • run_portfolio_sweep
  • run_profiler
  • save_csv_indicator
  • save_js_indicator
  • save_pine_indicator
  • save_py_indicator
  • saved_scans
  • scan_market
  • share_backtest
  • share_portfolio
  • show_analysis
  • show_backtest
  • show_context
  • show_portfolio
  • start_analysis
  • token_multitf
  • token_stats
  • update_scan_alert
  • validate_indicator
  • validate_js_indicator
  • validate_py_indicator
  • workspace_summary

Prompts

  • backtest_idea
  • review_last_backtest
  • robustness_check
  • improve_strategy
  • market_brief
  • portfolio_checkup
  • overfit_audit
  • explain_this_result
  • ship_to_tradingview
Categories
Made by
Spekule · Website
Sign-in
Required
Connector URL
https://www.texttoquant.com/api/mcp
Transport
Streamable HTTP
Permissions
Reads and runs backtests, analyses, portfolios, custom indicators and market scans in the user's own TextToQuant account. Running a backtest, sweep or portfolio uses the account's plan credits. It never places trades, accesses brokerage or exchange accounts, or reads anything outside the user's TextToQuant workspace.
Works with
Claude, Claude API, Claude Code, Claude Desktop
Added
September 12, 2026
More info