Deterministic market-state engine for trading agents — zero LLM in the signal path. 8 tools: structural market state & phase, action gate (GO/WATCH/HOLD), entry/target/invalidation coordinates, bar-by-bar state timeline, composed view cards, and pre-trade intent validation. Every output traces to a bar-stamped ledger with a public daily self-scoring track record.
Portfolio & trading-strategy stress diagnostics for AI agents: multi-asset stress with hedge-break detection, a daily preregistered regime outlook and deflated-Sharpe backtest-integrity checks. Remote streamable-HTTP endpoint with a free tier (no key); this repo is the public server card.
Personal investment management advisor that exposes tools for accounts, portfolios, trades, market data, strategies, risk control, and advice, enabling AI agents to analyze and provide structured investment recommendations.
Provides multi-agent equity research for US markets with provenance-backed financial data from SEC EDGAR, technicals, macro, and Alpaca paper trading, enforcing risk limits and journaling theses.
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.
Enables AI agents to manage and analyze personal investment portfolios, including fund and stock holdings, net value tracking, XIRR calculations, penetration analysis, and backtesting.
