Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.

Retirement Monte Carlo, tax-aware withdrawal plans, 2026 return estimate, state tax in every state.

The data and trading platform for AI: decades of US market data, backtests in seconds.

Daily verified GRE and GMAT quant drill: graded answers, hints and worked solutions.

Crypto backtest statistics: the server owns the trial count, so it cannot be understated.

Free, no key: NFL prop board, Kalshi vs Polymarket gaps, 15-min crypto, Fed odds, NHL, EV/Kelly.

HTTP API and MCP server for AKShare: fetch financial data from any programming language or AI assistant (Claude, Cursor)

Mirror your body in data. One standard, every source, one complete picture of you: a self-hosted health record built from lab reports, wearables and genetics, with every number traced to its source and a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.

Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting. Runs locally with no API key for core tools.

Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.

Transparent and Efficient Financial Analysis

Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.

Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.

MCP server giving AI agents (Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw) persistent long-term memory backed by your local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantizati

Read-only checks for money that agents move. verify_receipt: schema, Ed25519 signature, mandate expiry, amount = quantity x unit_price, refund not above payment. audit_spend: duplicate charges, price escalation, failed-but-billed, runaway loops, missing refunds, model overpay, budget breaches - three separate amounts, never one. reserve_report: NAV with an evidence hash per line; refuses a backing

Enables querying USDA FAS Export Sales Reporting data through read-only tools, including weekly export quantities by commodity, destination country and market year, latest-week and top-destination slices, data release dates, and lookups of commodity, country, region and unit codes. Cross-references ESR's own integer codes against packaged reference lists so valid commodities and destinations are resolved before any request.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

Quant price analysis for agents: TheStrat price action, multi-timeframe signals, simultaneous breaks

Catálogo de brindes personalizados do Brasil: busca, cores, gravação e preço por quantidade.

Zero-knowledge proofs with post-quantum attestations for AI agents, without exposing personal data

Resolve @handles to post-quantum-signed agent identities and transact with the brands behind them.

AI user research via studies, interviews, recruitment, reports, and quantitative surveys.