stock-prediction-deep-neural-learning

stock-prediction-deep-neural-learning

JordiCorbilla

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

finance
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329 Stars
77 Forks
329 Watchers
Jupyter Notebook Language
cc0-1.0 License
Cost to Build
$173.4K
Market Value
$374.1K
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Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the JordiCorbilla/stock-prediction-deep-neural-learning GitHub project? Description: "Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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