"Financial models for trading stocks, puts and calls" matching MCP servers:

Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.

An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Provides AI agents with real-time financial market intelligence including regime detection, adaptive signals, macro context chains, and cross-market analysis for crypto, US, and Korean stocks.

An MCP server providing stock market data and trading capabilities through multiple broker APIs including Robinhood and Schwab.

Provides real-time stock data, news, company fundamentals, and technical indicators for AI assistants via the Model Context Protocol.

Enables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.

Provides foundational trading utilities by fetching market data through Akshare and computing technical indicators like RSI and MACD using TA-Lib. It enables users to retrieve candlestick data and technical analysis series via a standardized MCP interface.

Enables fetching real-time stock prices from Yahoo Finance through Claude AI's interface. Allows users to query current market data for stocks using natural language commands.

Provides actionable financial intelligence tools for AI agents including insider buying signals, earnings IV plays, market pulse, stock analysis, and options strategies via free public data sources.

MCP server that provides AI assistants access to stock market data including financial statements, stock prices, and market news through a Model Context Protocol interface.

Provides a safe trading toolkit for AI agents with market data, indicators, paper trading, and guarded broker integration.

An MCP server that integrates SEC EDGAR, FRED, and Polygon.io financial data with OAuth 2.1 security and a citation-grounded 10-K extractor powered by Claude Sonnet 4.5.

Enables an AI agent to perform live demo trading analysis using market data, news, backtesting, breakout scanning, and persistent trading knowledge tools.

Provides AI agents with tools for paper trading stocks, options, ETFs, and bonds, including advanced options strategies and risk analysis, using real market data without financial risk.

An MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.

Provides access to Chinese mainland financial data including A-stock quotes, financial statements, industry analysis, and macroeconomics through 42 MCP tools, with automatic data source fallback and no API key required.

Provides derived financial intelligence for AI agents, including insider activity analysis, earnings surprises, institutional moves, stock screening with a proprietary composite value score, and macro indicators.

Enables Claude to access a remote research API for options screening, AI-driven trade thesis generation, earnings analysis, macro risk signals, and implied volatility lookup.

Enables LLM clients to access A-share market data, run the trading rule engine, and retrieve daily decision reports through 32 MCP tools.