lisa313 Goto Github PK
Type: User
lisa313's Projects
firm-characteristics-and-chinese-stock-market
It is a project that conducts a study on predicting the cross section of Chinese stock market returns with a large panel of 75 individual firm characteristics and also uses “big-data” econometric methods.
hmm-gmm-timing-strategy
stock-market-trend-analysis-using-hmm-lstm
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
xgboost_stock_prediction
XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project attempts to predict stock price direction by using the stock's daily data and indicators derived from its daily data as predictors. As such this is a classification problem.
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