IntroNeuralNetworks and MachineLearningStocks
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 MachineLearningStocks
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
This project helps individual traders and investors analyze historical stock data to predict which stocks are likely to outperform the market. It takes historical stock prices and financial fundamentals (like P/E ratios and debt/equity) as input, processes them, and then uses machine learning to identify stocks with the potential for higher returns. The output is a set of predictions for current stocks, indicating their likelihood of outperforming a benchmark index.
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