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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.

BootLoops 1.0: certified computational tools and house engines for exact and high-precision physics and quantitative science, built to be driven by LLM agents. MIT; docs CC BY 4.0.

结合多大模型分析与确定性代码风控的自主量化交易系统 ｜ Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.

A reproducibility lab for trading AI: published RL and LLM trading claims re-tested under a pre-registered protocol, with a causal benchmark and a live track.

🔥[NeurIPS'25] DeepFund: Pilot for Your Next Fund Investment

AlpacaTradingAgent: Multi-Agents LLM Financial Trading Framework and perform trades on alpaca

Multi-agent LLM investment committee that actually trades: AI seats debate, a CIO adopts one, 17 fail-closed risk gates stop the rest. Multi-exchange crypto quant trading terminal for OKX / Binance / Gate, with self-evolving prompts and a full audit trail.

⚡ LLM-Native Self-Evolving Quantitative Trading Terminal & Execution Engine (Bloomberg-Style Dark Terminal + 6-Asset AI Brain)

Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests

A framework for autonomous economic agent (AEA) development

A failure-aware harness for reproducible quantitative-strategy research, with typed agent workflows and inspectable experiment memory.