@oragnes: The Codex App / CLI can now directly access stock prices, earnings reports, SEC filings, and financial news data. It utilizes the official Financial Datasets MCP Server. It's not just a plugin for "looking up stock prices," but rather connects financial data sources into AI Agents, allowing …
Summary
OpenAI's Codex App and CLI can now access financial data such as stock quotes, financial reports, and SEC filings directly through the Financial Datasets official MCP Server, supporting real-time market queries, financial report analysis, and company comparisons.
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Analyze earnings and update your investment thesis with Codex
OpenAI introduces a Codex stock investment plugin that integrates financial data and third-party sources, helping teams quickly analyze earnings reports, update investment theses, and generate interactive dashboards, streamlining the process from data to decision.
@WEB3_furture: 34-second video — Directly analyze stocks/financial reports with Claude Code. Claude Code now natively supports the official financial-datasets MCP server, integrating real-time stock prices, financial statements, SEC filings, news, cryptocurrency prices, and more…
Claude Code now natively supports the financial-datasets MCP server, enabling direct analysis of stock prices, financial reports, and crypto data via a simple command-line integration.
@AYi_AInotes: Wow, these two GitHub projects must be recommended together. People doing AI investment research can save months of effort. Someone turned the full free data of A-shares + US and Hong Kong stocks into an AI-native Skill. No need to integrate APIs, no need to handle anti-scraping, almost zero API keys. In Claude, Cursor, Codex…
Recommend two open-source GitHub projects that turn full free data of A-shares and US/Hong Kong stocks into AI-native Skills. You can call market data, research reports, etc. with one sentence in Claude, Cursor, Codex, greatly improving AI investment research efficiency.
@KyrieCheungYep: https://x.com/KyrieCheungYep/status/2066703125659156572
This article details how to build an automated information collection pipeline using Codex CLI, including AGENTS.md configuration, MCP integration, Skill usage, and three practical scenarios (customer research, policy tracking, US stock monitoring), helping users automate repetitive information gathering tasks.
@BTCqzy1: After Claude integrates real financial data, it really takes stock research to a new level~ Now through MCP, it directly calls real-time stock prices and other data, and every judgment given has data support. I have organized a set of Prompts I use in my daily trading: from pre-market scan → entry confirmation → position management →...
User shares a set of Prompts for stock trading after connecting Claude to real financial data (real-time stock prices, etc.) via the MCP protocol, covering pre-market scan, entry confirmation, position management, and other stages, demonstrating practical cases of AI-assisted investment decisions.