@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.
@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...
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@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…
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@Saccc_c: A few tips for beginners to quickly get started with AI: 1. Stop using conversational AI like ChatGPT and start using Agent tools that can autonomously execute tasks, such as Claude Code, Codex, Manus. 2. Write your own Skill, for example, structuring your work habits, preferences, …
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