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In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

HQChart - H5, 微信小程序 沪深/港股/数字货币/期货/美股 K线图(kline),走势图,缩放,拖拽,十字光标,画图工具,截图,筹码图. 分析家语法,通达信语法,(麦语法),第3方数据替换接口

  • candlestick-chart
  • china-stock
  • trading-view
  • stock