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NN models designed to analyze and predict stock market from any stock data given

License: Apache License 2.0

Jupyter Notebook 99.53% Python 0.46% Dockerfile 0.01% Procfile 0.01%
stock-market prediction-model tensorflow cnn lstm cnn-lstm

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stock-x's Issues

[Feature] Data Preprocessing & Analysis on a CSV file

Objective

You need to preprocess the data file (any kind, will be notified) which is basically a CSV file using Pandas. After segregating data, you'd need to show a bit of analysis using graphs. This can be done via matplotlib. Oh you'd need numpy too to select some data columns

Result

The result would be the refined data with no gaps and preprocessed with labels

[Feature] Create a CNN-LSTM model template

Objective

Our job is to find and implement a CNN-LSTM model with some novelty. The end result should be a working model with less error. Should be done using Tensorflow and Keras. Oh, for CNN we need to research if we need to use pre-trained models or create our own from scratch.

[Feature] Add testing part

Objective

The main objective of this issue is to add a testing part in the project we're working on. Plus, we need some ways to do this as the work load here is too minimal and needs to be focused on

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