

the fastest growing GitHub repos in finance this week: 1. FinceptTerminal (+10.7K ★) open-source Bloomberg alternative built in C++20 + Qt6. 37 AI agents in Buffett/Munger/Lynch/Graham style. 100+ data connectors. real-time trading with 16 broker integrations. CFA-level analytics in a single native binary. no Electron, no browser. 2. TradingAgents (+1.5K ★) multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager; all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers. 3. last30days-skill (+1.4K ★) AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. plug it into any agent. zero setup, instant alpha. 4. daily_stock_analysis (+1K ★) LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. 5. QuantDinger (+919 ★) self-hosted AI quant OS. research markets, generate Python strategies, backtest ideas, run live trading. crypto, US stocks via IBKR, forex via MT5. one Docker Compose, your infra, your data. 6. HKUDS/Vibe-Trading (+611 ★) personal trading agent from HKU. natural language → strategy → backtest → export to TradingView/MT5/TDX. 71 finance skills, 29 swarm team presets, cross-session memory. one pip install. 7. freqtrade/freqtrade (+467 ★) free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control. 8. OpenBB-finance/OpenBB (+447 ★) open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP. 9. ashishpatel26/500-AI-Agents-Projects (+386 ★) curated collection of 500 AI agent use cases across industries, including finance. best resource for finding what's actually being built with agents right now. 10. hsliuping/TradingAgents-CN (+386 ★) Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs. bookmark this and start today.

























