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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.

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.

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.

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.

A股行情分析与AI智能投研智能体：股票分析、量化交易分析、盘后复盘桌面工作台——easy stock

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

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

Autonomous LLM Trading Asterism — a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.

HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管

TSP自托管、零运维的 A 股「自建策略 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源

Sybil-resistant AI agent network with hardware-attested identity. Proof-of-Antiquity blockchain: physical machines across 15+ CPU architectures prove they are real silicon, not VM farms. Agent economy, micropayments, Solana bridge (wRTC). $0 VC.

A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。

A股全栈数据工具包：行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources

Open source software that helps you create and deploy high-frequency crypto trading bots

A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

The only ERC-8004 agent with roots in the physical world. Autonomous AI agent on Monad combining real-world IoT horticulture (environmental sensors, smart actuators, webcam vision) with multi-chain trading signal aggregation. 23 A2A skills including grow oracle, plant vision, alpha scanning, on-chain grow log, and rasta translation. Supports A2A JSON-RPC, x402 micropayments, and ACP task management.

AI-powered crypto news intelligence. Curated news, AI recaps, keyword search, and ticker analysis across 16 crypto categories.

Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.

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

A framework for autonomous economic agent (AEA) development

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

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

The first agentic payment network: policy-controlled, gasless, and real money-ready. OmniClaw CLI + Financial Policy Engine let autonomous agents pay and earn safely at machine speed.