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The article showcases Analyst Index, a web platform that rates and ranks stock analysts based on their price target performance, covering various firms and sectors.
This tweet discusses replicating a multi-agent debate system from US stocks to Chinese A-shares, with modifications for local market features like T+1 trading and price limits, emphasizing it's for research purposes only.
InStock is an open-source stock quantitative investment system that provides comprehensive stock selection, technical indicator calculation, K-line pattern recognition, automatic trading, and more, with 13.8K GitHub stars.
This article provides a detailed introduction to the InStock stock system, an open-source quantitative investment tool that supports data fetching, technical indicator calculation, K-line pattern recognition, and strategy backtesting, among other functions.
User @TaoRay analyzes Tesla's stock, believing that although there is a short-term oversold bounce opportunity, intensified competition in autonomous driving and China's improved AI capabilities will erode Tesla's premium, suggesting avoiding investment.
This tweet recommends four high-Star open-source financial analysis tools that can replace Bloomberg Terminal, covering daily briefings, professional terminals, algorithmic trading, and in-depth research, all deployable for free on GitHub.
Google Gemini now offers free stock analysis capabilities that rival expensive Bloomberg terminals, with 10 prompts for financial insights.
An open-source project called ai-hedge-fund has gained 62k stars on GitHub. It clones the strategies of 14 legendary investors like Buffett, Munger, and Cathie Wood into AI, forming a virtual fund team. It supports backtesting, simulation, and live trading (for learning only), and provides stock analysis process similar to real human meetings.
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.
This is a 50k-star open-source project on GitHub that uses AI models to automatically analyze stock quotes, technical indicators, and fundamental data, generating a decision dashboard with trend scores, buy/sell points, and risk alerts. It supports daily automated runs and multi-platform push notifications.
Introducing AI Berkshire – a collection of investment research Skills compatible with Claude Code and Codex, systematizing the methodologies of masters like Buffett, Munger, Duan Yongping, enabling professional-grade US stock research via AI Agent, and demonstrating real portfolio performance.
Recommends two free stock research tools: Stock Analysis and Finviz, and explains how to combine them to screen and analyze US stock individual stocks.
A Twitter thread lists the 10 fastest-growing repositories on GitHub in June 2025, covering AI workspaces, token compression, agent prompt optimization, video generation, voice cloning, stock analysis, research agents, and more.
This article uses the AI tool Apodex to thoroughly fact-check an investment blogger's narrative about CPO stock $SIVE, finding that four out of five core claims are problematic. It demonstrates how to leverage AI for fact-checking investment narratives.
This article provides a detailed analysis of investor Serenity's bullish thesis on AAOI (Applied Optoelectronics) from $28 to $195. The core argument is that AAOI, as an optical module company that manufactures its own laser chips, occupies a key node in the AI data center optical interconnect supply chain. Laser production capacity is becoming a bottleneck, so there is still room for market cap revaluation.
The author analyzes reasons for being bullish on SpaceX IPO stock price, including index fund forced buying and insider incentives, predicting the stock price may rise to $240.
The article discusses the information gap on Reddit and X platforms, using the example of the white-haired stock guru Serenity's analysis of $AXTI stock on WSB, which skyrocketed due to AI demand for optical communication materials, but she was banned by the moderator, comparing the information dissemination characteristics of the two platforms.
游资Skills is an open-source deep analysis engine for individual stocks, integrating a panel of 65 investment experts. It supports multiple AI agents and aims to provide comprehensive stock analysis capabilities.
An open-source framework simulates a real trading floor with multiple AI agents performing fundamental, sentiment, technical, and risk analysis, compatible with major LLMs like GPT-5, Claude 4, and Gemini 3.
Serenity.skill is an open-source AI tool that converts Twitter user Serenity's investment research methodology into an Agent Skill, helping users perform industry chain analysis and stock screening through AI.