/Stock-Trend-Prediction

📈📉 Stock Trend Prediction on Machine Leaning.

Primary LanguageJupyter Notebook

Stock-Trend-Prediction

  1. Crawle the data from TWSE
  2. Prepocess the data
  • Extract data (Open, High, Low, Close, etc.) from the crawled file.
  • Transform the original data to Candlestick Charts for each tuple and evaluate its length.
  • Get center from the length and group the data with elbows methods and K-means.
  1. Analyze the data with models
  • Naive Bayes
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • XGBoost
  • Support Vector Machine