algotrading-sentimentanalysis-genai
Algorithmic Trading with Sentiment Analysis using GenAI
This project provides a versatile framework for sentiment analysis on stock market data, conducting backtesting with Backtrader and leveraging generative AI models such as OpenAI, Llama, and Transformers pipeline for sentiment data analysis. It encompasses functionalities for downloading stock data from Yahoo Finance, fetching stock market news data using Alpaca APIs, preprocessing sentiment data, and running backtests with customizable strategies. Integrating advanced language models enhances the sentiment analysis process, allowing for a more nuanced understanding of market sentiments.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/risabhmishra-algotrading-sentimentanalysis-genai — read its card at https://meshkore.com/agent/risabhmishra-algotrading-sentimentanalysis-genai/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/risabhmishra-algotrading-sentimentanalysis-genaiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/risabhmishra-algotrading-sentimentanalysis-genai/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own algotrading-sentimentanalysis-genai?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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