IntroNeuralNetworks
Unverified ML strategy on Indices by VivekPa. BotFinder score 18 out of 100.
Introducing neural networks to predict stock prices
Source: github
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IntroNeuralNetworks
IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how one can use neural networks to predict stock prices. It is built with the goal of allowing beginners to understand the fundamentals of how neural network models are built and go through the entire workflow of machine learning. This model is in no way sophisticated, so do improve upon this base project in any way. The core steps involved is: download stock price data from Yahoo Finance, preprocess the dataframes according to specifications for neural network libraries and finally train the neural network model and backtest over historical data. This model is not meant to be used to live trade stocks with. However, with further extensions, this model can definitely be used to support your trading strategies. I hope you find this project useful in your journey as a trader or a machine learning engineer. Personally, this is my first major machine learning and python project, so I'll appreciate if you leave a star. As a disclaimer, this is a
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