IntroNeuralNetworks and Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
About IntroNeuralNetworks
VivekPa/IntroNeuralNetworks
Introducing neural networks to predict stock prices
This project helps individual traders and quantitative analysts understand and apply neural networks to predict stock prices. It takes historical stock price data, primarily from Yahoo Finance, and outputs future price predictions. The target users are beginners in quantitative finance or machine learning who want to build foundational knowledge in predictive modeling for financial markets.
About Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
brianrisk/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
This helps traders, investors, or financial analysts explore different machine learning and neural network methods for predicting stock movements. You feed it historical stock price data, and it helps you understand which models could predict if a stock is likely to gain at least 5% in the next 10 trading days. It's designed for individuals looking to apply and learn about these techniques for stock market analysis.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work