𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐅𝐚𝐬𝐭𝐀𝐏𝐈-𝐌𝐂𝐏 𝐒𝐞𝐫𝐯𝐞𝐫𝐬.. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 (𝐓𝐀) 𝐫𝐞𝐩𝐨𝐫𝐭. 𝐅𝐫𝐨𝐦 𝐬𝐭𝐨𝐜𝐤𝐬 𝐭𝐨 𝐜𝐫𝐲𝐩𝐭𝐨.

Live at rex.tigzig.com/technical-analysis-gpt with source codes

Punch in a Yahoo Finance symbol... stocks, index, oil, metals, crypto... give a timeframe for analysis - get back a nicely formatted TA report as PDF and Web URL - chart analysis done with Gemini vision.

I have made the MCP and FastAPI servers public. Servers, source codes, and build guides at the link above.

Custom GPTs are typically my first choice when an AI-powered UI is needed - running custom Python, database queries, or backend processing. Live examples and source codes at rex.tigzig.com. Once the backend is ready and exposed via webhook or FastAPI - connecting to ChatGPT is straightforward - just needs a Custom Actions JSON schema in OpenAPI format - any LLM can generate it from API docs or code. Once OpenAI enables support for MCP SSE servers, it will get even simpler.

The backend here is a set of integrated FastAPI + MCP servers on a single deployment - connected to multiple interfaces - n8n MCP Client and AI agent via the MCP Server, and FastAPI endpoints for the Flask UI, a Next.js UI, ChatGPT and Excel (xlwings Lite). MCP Server mounted on existing FastAPI with Tadata's FastAPI-MCP package. Custom backend pulls data, processes with Python, analyzes charts with AI vision, and outputs formatted reports.

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Fine print: This is not investment advice or investment research. Sharing a live tech example on combining ChatGPT and other interfaces with integrated FastAPI-MCP servers to run analysis and generate formatted PDF and HTML reports. AI can make mistakes - always validate outputs.