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使用 Colab 建立,利用python,分別對台灣的證券交易所和yahoo奇摩股市進行股票價格的網頁爬蟲,並對爬取下來的資料以data-driven的方式進行股市分析,其中包括"計算技術指標"、"K線可視化"、"資料清洗與轉置"等,接著以"ARIMA模型"、"機器學習(線性回歸、決策樹、隨機森林"、"深度學習(ANN、CNN、LSTM)"訓練模型並進行股價漲跌的預測,最後搭配交易策略和技術指標(SMA、RSI、MACD、KD等),並以績效回測的方式進行報酬率的必較,實現量化交易。

  • Updated Nov 20, 2024
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