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"A guide to backtesting for financial analysis and strategy development" matching MCP tools:

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  • SEC filing intelligence for AI agents. Financials, screening, peer comparison for 5,000+ companies.

  • Trust signals for AI agents: an open agent-readiness standard and developer tool guide. Read-only.

  • Analyze a company's financial health, profitability, growth, and cash flow, and receive derived signals on margin trends, financial strength, and growth trajectory. Ideal for fundamental analysis.
    MIT
  • Load structured workflow instructions to guide feature development from idea to implementation, following the Requirements → Design → Tasks → Implementation sequence for spec-driven software development.
    GPL 3.0
  • Access daily OHLCV price history with buy/sell flow data for crypto backtesting and trend analysis. Supports up to 7 years of data across multiple exchanges.
    MIT
  • Retrieve historical OHLCV (Open, High, Low, Close, Volume) data for cryptocurrency pools to analyze price trends, perform backtesting, and create visualizations across multiple blockchain networks.
    MIT
  • Lists all shipped strategy template names to help you browse available templates for backtesting futures strategies.
    Apache 2.0
  • Retrieve a list of all generated guide files saved in the codeglance-analysis/guide directory. Use this to see available documentation outputs.
    MIT
  • Retrieve structured workflow information for Stylus development, including step-by-step commands for build, deploy, and test operations to guide development processes.
    MIT
  • Retrieves historical OHLCV candlestick data for stocks, ETFs, or indexes. Supports multiple intervals and lookback periods for chart analysis and quantitative backtesting.
    MIT