"Features of Grid Trading Strategies" matching MCP servers:

Hyperliquid research MCP — typed strategy composition, deterministic backtests on real market data, opt-in live execution.

Provides access to Brian Eno and Peter Schmidt's Oblique Strategies card deck to help users overcome creative blocks through lateral thinking. It enables searching and retrieving random prompts from various editions, including collections adapted specifically for programmers.

Enables browser automation by managing Selenium Grid browser instances (Chrome, Firefox, Edge) in Docker or Kubernetes environments. Provides secure, scalable browser control for AI agents and testing workflows.

Enables local auditing of trading strategies through MCP checkers for point-in-time data provenance, pre-trade order validation, and regime-fragility testing, while deferring promotion verdicts to a hosted service.

Provides real-time electricity grid data including CO2 intensity, power mix, and wholesale prices, plus optimal green time windows for energy-intensive AI tasks. Supports UK, Germany, and global regions with optional API keys.

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.

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.

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

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

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.

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

Enables AI assistants to read positions, deals, and orders from the RGO trading platform via natural language, with optional trading capabilities when explicitly enabled.

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.

A Model Context Protocol server that enables price lookup and trading across multiple cryptocurrency exchanges including Upbit, Gate.io, and Binance.

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

Enables AI agents to search and retrieve cited evidence packs for renewable energy assets, analyze locations, and access regional energy context, all from a local DuckDB snapshot of Aragon renewable infrastructure data.

Enables conversational control of a Korean stock paper trading simulator. Users can view positions, adjust strategy parameters, and run backtests through natural language in Claude Desktop.

An MCP server that gives Claude the ability to analyze trading setups across IDX, Forex, and Crypto markets without executing trades.