@rollingSirius: AI Personalized Trading System Building Guide.
Summary
Provides a guide for building an AI-based personalized trading system.
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@KKaWSB: https://x.com/KKaWSB/status/2074289438474330306
This article details how to build a personal quantitative trading system using free AI open-source tools (such as OpenBB, Qlib, TradingAgents, etc.), covering five major modules: data, research, backtesting, risk control, and execution, and points out common pitfalls and discipline.
@rollingSirius: https://x.com/rollingSirius/status/2077248445413507534
This article explores how individual investors can use IBKR's MCP server to let AI take over repetitive tasks in the investment process (such as data collection, profit calculation), thereby focusing on core judgment; it also proposes ideas for building personalized trading systems, and includes a checklist for self-review of the investment process.
@sunmer575399: Found a fantastic open-source project TradingAgents, 96.1k stars, significantly lowering the AI barrier. Uses multiple AI agents for stock trading: some monitoring financial reports, others watching news, and managing sentiment, then voting on decisions, much more reliable than single-model guesses. Can easily connect to NVIDIA, Kimi, Groq, Mis…
TradingAgents is an open-source multi-agent framework for AI-driven financial trading, supporting multiple AI models and data sources, with checkpointing functionality.
@XAMTO_AI: Still losing hair writing quantitative strategies? Vibe-Trading, a personal AI trading agent from the HKUDS team at HKU, lets you command AI using natural language! Just speak human language and it can help you: research markets + auto-generate strategies, one-click backtesting + output full reports, multi-agent team collaboration...
Vibe-Trading is a personal AI trading agent from the HKUDS team at HKU, supporting natural language generation of quantitative strategies, one-click backtesting, and multi-agent collaboration. It comes with an embedded library of 456 alpha factors and is open-sourced.
@cevenif: Guys, a library literally exploded today—nearly 90k stars, called TradingAgents, a multi-agent trading framework. In plain English: a group of AIs work together to help you trade crypto and stocks. ① Some AIs specialize in monitoring market data ② Some AIs are responsible for strategy decisions ③ Some AIs specialize…
TradingAgents is a multi-agent trading framework that uses multiple AIs working together to automate crypto and stock trading, supporting real-time data ingestion, automatic strategy generation, and continuous optimization. It has gained nearly 90k stars on GitHub.