brianrisk/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Examples of python neural net and ML stock prediction methods with sample stock data.

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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.

275 stars. No commits in the last 6 months.

Use this if you are a trader or investor wanting to experiment with various machine learning models (like logistic regression, random forest, or LSTMs) to predict potential stock gains using historical data.

Not ideal if you need a plug-and-play, production-ready trading bot or a tool that directly provides real-time buy/sell signals without any custom implementation.

stock-prediction financial-modeling algorithmic-trading-research market-analysis investment-strategy

Stale 6m No Package No Dependents

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Adoption 10 / 25

Maturity 16 / 25

Community 22 / 25

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275

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Language

Python

License

Apache-2.0

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Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and stock-prediction-deep-neural-learning Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and StockPricePrediction Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and Deep_Learning_Machine_Learning_Stock Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and IntroNeuralNetworks Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and stock-trading-ml Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and Stock-Prediction-Models

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