Showing 2 open source projects for "synthetic"

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    ML for Trading

    ML for Trading

    Code for machine learning for algorithmic trading, 2nd edition

    ...The design and evaluation of long-short strategies based on a broad range of ML algorithms, how to extract tradeable signals from financial text data like SEC filings, earnings call transcripts or financial news. Using deep learning models like CNN and RNN with financial and alternative data, and how to generate synthetic data with Generative Adversarial Networks, as well as training a trading agent using deep reinforcement learning.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Generates configurable datasets which emulate user transactions. Modified to compile in VS 2008, and run in Windows. Original files seemingly no longer available through IBM, but mirrored here: http://www.cs.loyola.edu/~cgiannel/assoc_gen.html .
    Downloads: 0 This Week
    Last Update:
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