"Detecting Patterns and Conformations in Trading Charts" matching MCP servers:

Exposes the 23 Gang of Four design patterns to AI coding agents for generation, canonical examples, AST-based detection, validation, and anti-pattern refactoring in Python codebases.

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

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.

Pattern-intelligence MCP server for ServiceNow Discovery that enables AI agents to read, search, validate, author, surgically edit, and reason about Discovery patterns, including NDL grammar, SNMP OIDs, data sources, and emulator blueprints.

Enables AI-powered cryptocurrency trading and analytics across multiple exchanges and blockchains, with integrated Telegram bot and live trading capabilities.

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 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.

Exposes the Agentic Patterns Catalog as MCP resources and tools for AI coding agents to search, retrieve, and recommend patterns, recipes, frameworks, methodologies, and anti-patterns.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

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.

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 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.

A read-only MCP server that exposes Interactive Brokers and Moomoo brokerage accounts as tools, enabling natural-language queries across positions, trade history, realized P&L, and sector exposure in one merged view.