What problem does it solve?
This Skill eliminates the fragmented chaos of sourcing data, running backtests, and coordinating multi-agent finance research by providing a single MCP-accessible toolkit built for personal trading agents.
Core Features & Use Cases
- Unified MCP tools: list_skills, load_skill, backtest, factor_analysis, analyze_options, pattern_recognition, get_market_data, web_search, document/file helpers, and swarm controls cover exploration, execution, and reporting.
- Multi-agent swarms: Choose from 29 preset teams such as investment committee, global equities desk, quant strategy desk, and earnings research desk to orchestrate debates, risk reviews, and strategy approvals.
- Data breadth: Backtest across HK/US equities, crypto, China A-shares, futures, and forex with sources yfinance, OKX, Tushare, AKShare, and CCXT while collecting rich artifacts for analysis.
Quick Start
Run a backtest on AAPL.US with a MACD crossover using yfinance data and review the Sharpe metric alongside the generated equity curve.