The fastest-growing finance-related projects on Github last week:


1. TradingAgents: +7.9k stars, a multi-agent trading framework developed by UCLA and MIT. It includes fundamental analysts, sentiment analysts, technical analysts, risk controllers, and also supports Deepseek V4's thinking mode.

2. FinceptTerminal: +4.3k stars, an open-source version of Bloomberg built with C++20 and Qt6. It has 37 AI agents with styles resembling Buffett, Munger, Lynch, Graham, supports real-time trading with 16 brokerages, and comes with MCP and AI quantitative tagging features.

3. Daily_Stock_analysis: +2.3k stars, an LLM stock analyzer covering US stocks, A-shares, and Hong Kong stocks, automatically generating daily decision dashboards with entry and exit points, pushed via Github Actions to Telegram, Discord, and email.

4. Vibe-Trading: +1.9k stars, a personal trading AI agent that writes strategies in natural language, backtests, and exports to TradingView or MT5. You can set up your own AI trading station with just one pip install command.

5. QuantDinger: +837 stars, a self-hosted AI quantitative operation system capable of researching markets, generating Python strategies, backtesting ideas, and running live trading. Supports cryptocurrencies, stocks (via IBKR), and forex (via MT5). Set up with a Docker Compose, with infrastructure and data fully under your control.

6. TradingAgents-CN: +641 stars, the Chinese version of TradingAgents, fully localized for the A-share market, Chinese data sources, and domestic large models.
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