"A quantitative trading system" matching MCP servers:

Enables clients to access 21 cloud-hosted financial tools via a token-authenticated forwarding layer that relays tool calls to the Silkj E-Investment skill gateway. Supports stdio, Streamable HTTP, and hosted deployment modes without embedding any financial algorithms locally.

基于Model Context Protocol (MCP) 的A股实时行情查询服务器，支持查询A股实时价格、历史K线数据、财务信息及市场概况。

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

Enables AI assistants to manage crypto trading through Coinrule via natural language, including portfolio inspection, strategy creation, backtesting, and execution with configurable read/write permissions.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

Enables AI assistants to connect to brokerage accounts in read-only mode so users can inspect balances, positions, and orders, and provides a local lab for backtesting strategies and simulated trading with pretend money.

Enables AI agents to automate simulated stock trading on the Tonghuashun trading system, including checking account balances and positions, viewing orders and deals, placing market orders, and canceling pending orders via the MCP protocol.

Provides real-time stock data, technical indicators, and market analysis via MCP protocol to enable AI-driven quantitative trading.

Multi-agent system for long-term fund investment decision support, integrating analysis, risk control, and MCP tools to assist with fund trading decisions.

A modular quantitative trading assistant that integrates with XTQuant/QMT trading platform, enabling AI-assisted trading strategy generation, real-time trade execution, and performance backtesting.

Enables quantitative trading analysis with 12 tools for real-time market data, 28+ technical indicators, FinBERT-powered news sentiment analysis, and automated trading signal generation for stocks and forex.

Read-only SQL MCP server for quantitative finance data (DuckDB) with stock quotes, financials, and historical K-lines, enabling cross-database JOIN queries.

A read-only MCP server for Trading 212 accounts, enabling AI assistants to query balances, positions, orders, dividends, pies, and instruments without trading capabilities.

Enables read-only, bounded quantitative-research workflows with schema compatibility checking and server capability discovery, without exposing market data or live trading.

MCP server for the Trading 212 API. Provides 28 tools for portfolio management, trading, pies, dividends, market data, and analytics.

An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.

Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.

An MCP server that wraps the Trading 212 Public API, enabling AI agents to interact with your Trading 212 brokerage account through natural language.

Enables AI agents to trade forex, metals, indices, and cryptocurrencies via the Model Context Protocol using the XBTFX Trading API. It provides comprehensive tools for managing account balances, retrieving market data, and executing trade operations like opening, modifying, or closing positions.