mapledust0/AI-Stock-Nowcasting
Real-Time AI Cross-sectional stock nowcasting project initiated by Zefeng Chen and Darcy Pu at Guanghua School of Management, Peking University
This project helps active portfolio managers, traders, or quantitative analysts identify promising stocks for short-term gains. It takes real-time web information and an AI agent to generate daily stock attractiveness scores for Russell 1000 companies. The output is a daily ranked list of stocks, allowing users to build a portfolio of top-ranked stocks, which have shown superior returns compared to the broader market.
Use this if you are a professional investor or trader seeking an AI-driven signal to identify potential 'winner' stocks daily from the Russell 1000 index, specifically for short-term, high-conviction strategies.
Not ideal if you are a long-term investor, interested in predicting 'loser' stocks, or focusing on stocks outside the Russell 1000.
Stars
21
Forks
1
Language
HTML
License
MIT
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/mapledust0/AI-Stock-Nowcasting"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vas3k/TaxHacker
Self-hosted AI accounting app. LLM analyzer for receipts, invoices, transactions with custom...
Y-Research-SBU/QuantAgent
Official Repository for QuantAgent
hisabi-app/hisabi
🤑 Open-source personal finance tracking web application with SMS parser
microsoft/finnts
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that...
rsandx/AlphaSuite
AlphaSuite is an open-source quantitative analysis platform that gives you the power to build,...