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GitHub / dksifoua / Stock-Market-Prediction

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

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Stars: 12
Forks: 8
Open Issues: 1

License: apache-2.0
Language: Jupyter Notebook
Repo Size: 415 MB
Dependencies: 5

Created: almost 4 years ago
Updated: over 1 year ago
Last pushed: almost 2 years ago
Last synced: about 1 year ago

Topics: bayesian-optimization, computational-finance, convolutional-neural-networks, decision-trees, deep-neural-networks, dimension-reduction, gaussian-processes, generative-adversarial-network, gradient-boosting, high-frequency-trading, logistic-regression, python, random-forest, reccurent-neural-network, stacked-autoencoder, stacking, stock-market-prediction, support-vector-machines, technical-indicators

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