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Claude Connector

TEXT TO QUANT

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

View in the Claude registry
Category
Finance
Integration details

Description

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.

Integration type
Connector
Verification status
Verified connector
Platform
Claude
Category
Finance

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Stock & Investment Analysis Tools

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
TextToQuant
Access
Account required
First tracked
2026-09-12
Tool count
77
Geography
US
Agent DiscoverabilityClaude Discoverability Score

Your Claude Discoverability Score is being prepared

Claude can surface a verified Connector when it matches a user’s Prompt.We are preparing TEXT TO QUANT’s Discoverability Score and will publish it when the benchmark is ready.

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What discovery looks like

Claude showing a list of relevant Connectors in a conversation

Claude can surface verified Connectors when they match a user’s Prompt.

How this score is measured

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Primary Subcategory

Competing in Claude Stock & Investment Analysis Tools

View Category
#13 of 37ranked by public Discoverability Score
Primary Subcategory
1Bigdata.com96/100
2Pinegap88/100
3FactSet AI-Ready Data85/100
4viaNexus vAST54/100
5Alpha Vantage MCP Server38/100
13TEXT TO QUANTComing soonGet notified
—agent.falpha.aiPending VerificationGet notified
Tools

77 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

TEXT TO QUANT Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve TEXT TO QUANT's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are TEXT TO QUANT alternatives on Claude?

As of 2026-10-07, TEXT TO QUANT competes with Bigdata.com, Pinegap, FactSet AI-Ready Data, viaNexus vAST, Alpha Vantage MCP Server, Financial Datasets, Twelve Data, FMP and 28 more in Claude Stock & Investment Analysis Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.