Agent
Discoverability

LONA

Create, backtest, and analyze algorithmic trading strategies with AI-generated Backtrader code and real market data.

View in the Claude registry
Brand
LONA
Category
Finance
Integration details

Description

AI-powered trading strategy development platform. Create, backtest, and analyze algorithmic trading strategies directly from Claude. Key features: - Create strategies from natural language descriptions — an AI pipeline generates Python-based Backtrader code for you - Bring your own strategies: create and update Backtrader Python code with immutable versioning - Download cryptocurrency market data from Binance (1m to 1d intervals) or upload your own OHLCV CSV data - Browse pre-loaded global datasets (US equities, crypto, forex) - Run comprehensive backtests with configurable capital, commission, leverage, and strategy parameters - View detailed performance reports with metrics like total return, Sharpe ratio, maximum drawdown, win rate, and trade history - Visualize results with interactive candlestick charts showing trade entry and exit points

Integration type
Connector
Verification status
Community 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
LONA
Access
Account required
First tracked
2026-10-14
Tool count
31
Market
US
Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory
9 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Financial Datasets87/100
2Alpha Vantage MCP Server68/100
3Bigdata.com65/100
4Pinegap61/100
5FactSet AI-Ready Data39/100
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Tools

31 tools agents can invoke

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FAQs

LONA Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve LONA'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 LONA alternatives on Claude?

As of 2026-10-28, LONA competes with Financial Datasets, Alpha Vantage MCP Server, Bigdata.com, Pinegap, FactSet AI-Ready Data, viaNexus vAST, Twelve Data, FMP and 75 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.