Инструменты

Command-line edition of the open-source OpenBB investment research platform: query stock prices, financial statements, macroeconomic and other financial data from the terminal, and automate data pulls with Routine scripts. Officially maintained; some sources need API keys.

Open-source crypto trading framework: download market data, backtest and optimize strategies, and paper trade from the CLI while agents iterate on strategies. Docker recommended; strategies need Python and live trading needs exchange API keys. Backtests don't guarantee returns.

Microsoft's open-source AI quant investment research platform: the qrun command runs dataset building, model training, backtesting and evaluation from a YAML config, with many benchmark models. The official dataset is paused, so prepare market data per the README first.

Language and toolset for double-entry bookkeeping in text files: bean-check validates the ledger, bean-format normalizes it, and Fava or beanquery handle reports and queries. Plain-text ledgers are easy for agents to generate and keep in version control.

Real-time quotes for stocks, crypto, forex and futures, top gainers/losers and volume-spike screens, multi-timeframe technical analysis and strategy backtesting. No TradingView account or API key needed; community project not affiliated with TradingView.

Open-source PDF table extraction with a camelot CLI: exports tables from financial reports, bank statements and statistical reports to Excel, CSV or Markdown, with an accuracy score. Needs Python 3.10+; handles text-based PDFs by default, scans need the ml and ocr extras. Double-check results.

Trading workflow skills for time-constrained individual investors: market breadth and regime assessment, VCP stock screening, position sizing, trade journaling and reviews, and backtest critique. The starter path needs no paid data; screening skills need FMP or similar subscriptions.

Python library with a built-in MCP server for US SEC EDGAR data: search 10-K, 10-Q, 8-K and other filings and read XBRL-standardized financial statements, Form 4 insider trades and 13F holdings. Free with no API key; just set an EDGAR_IDENTITY.

KiCad design review skills: parse schematics, PCBs and Gerbers, trace the power tree, catch common mistakes, run SPICE simulation and EMC pre-checks, and tidy the BOM. Needs Python 3.10+; simulation needs ngspice; DigiKey needs API credentials. EMC pre-checks don't replace certification.

Lets agents use Alpaca's trading API for US stocks, options, crypto and bond quotes and news, place orders, and manage positions and watchlists. Maintained by Alpaca; needs an API key and uses paper trading by default.

Stock analysis MCP for individual investors: quotes via yfinance, technical indicators such as RSI and MACD, screening strategies, a portfolio tracker and a trade journal. Core tools need no API key; backtesting and deep-research extensions are optional.

Free Yahoo Finance data via yfinance: historical prices, company info, the three financial statements, holders and insider trades, option chains, analyst ratings and news. No API key; community-maintained.