{"repo":"MaherGebrail/Stock-Prediction-with-TimesFM","free":true,"listed":false,"github":"https://github.com/MaherGebrail/Stock-Prediction-with-TimesFM","clone":"git clone https://github.com/MaherGebrail/Stock-Prediction-with-TimesFM.git","description":"A stock prediction application that uses Google's TimesFM (Time Series Foundation Model) to forecast stock prices from Yahoo Finance, with FastAPI serving as the backend API.","language":"Python","stars":11,"topics":["fastapi","forcasting","genai","stock-market","time","timesfm","yfinance"],"license":"MIT","category":"ai-agents","readme_excerpt":"Stock Prediction with TimesFM A stock prediction application that uses Google's TimesFM (Time Series Foundation Model) to forecast stock prices from Yahoo Finance, with FastAPI serving as the backend API. Project Structure The application consists of three main components: 1. stock predictor.py - Core prediction logic that handles stock data retrieval and forecasting using the TimesFM model. Configurable parameters include: - name : Stock ticker symbol (e.g., AAPL, GOOGL, TSLA) - interval : Data sampling frequency (e.g., 1d, 1h, 5m) - period : Historical data range (e.g., 1mo, 3mo, 1y) - horizon len : Number of future time steps to predict (e.g., 5, 10, 20) 2. main.py - FastAPI backend server that exposes the API endpoints and serves the frontend through the templates and static directories 3. requirements.txt - Python dependencies Getting Started This application requires the TimesFM model to be cloned and installed first. Preview","default_branch":null,"files":null,"tree":[],"storefront":"/r/MaherGebrail","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MaherGebrail/Stock-Prediction-with-TimesFM/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}