#43 · Primary category： Time Series Machine Learning
bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Project last updated：01/17/21
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Why we included this project
bulbea bundles the deep-learning experiment loop for stock price data into a single package, so you skip the data plumbing. A Share object pulls historical prices for a ticker, a split helper divides them into normalized train and test sets, and the RNN model is just a Keras network defined by a list of layer sizes. Getting a forecast and scoring it against the test series takes a few lines, which makes the library a solid teaching scaffold for recurrent networks on financial time series. It also attaches a Twitter sentiment score to a share, giving you a second, text-derived signal alongside the raw price history. The project has been dormant since 2021 and depends on an older Keras/TensorFlow stack, so anyone weighing it for production should budget time for dependency updates.
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