Leci37/TensorFlow-stocks-prediction-Machine-learning-RealTime
Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
This project helps individual stock traders and financial analysts by predicting optimal buy, sell, or hold points for stocks. It takes in historical stock price data and technical indicators to output clear, categorical trading signals. This is designed for traders and analysts who want to leverage machine learning for real-time stock market decision-making.
309 stars. No commits in the last 6 months.
Use this if you are an active stock trader looking for automated, real-time alerts on potential buy or sell opportunities based on technical analysis and advanced machine learning models.
Not ideal if you are a beginner trader without a solid understanding of market mechanics, as the project requires some technical setup and continuous improvement of its predictive models.
Stars
309
Forks
96
Language
Python
License
—
Category
Last pushed
Mar 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Leci37/TensorFlow-stocks-prediction-Machine-learning-RealTime"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TimRivoli/Stock-Price-Trade-Analyzer
This is a Python 3 project for analyzing stock prices and methods of stock trading. It uses...
rafa-rod/pytrendseries
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum...
LeonardoBerti00/TLOB
This is the official repository for the paper TLOB: A Novel Transformer Model with Dual...
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for...
jcamiloangarita/stocker
Stock Price Prediction