Skip to content

Latest commit

 

History

History
9 lines (9 loc) · 599 Bytes

README.md

File metadata and controls

9 lines (9 loc) · 599 Bytes

Rolling Averages Based Stock Prediction

Stock Market Prices like NASDAQ, AAPL, TSLA are being analysed on the basis of Rolling Averages. There might be short rolling averages like 50 days or there might be long rolling averages like 200 days. This Repository includes Python Functions for :

  • Tracing Candlestick Patterns of different tickers like AAPL,NVDA,TSLA and any other.
  • Calculating Short-Term and Long-Term Rolling Averages.
  • Finding Windows where Short-Term Rolling Average is above Long-Term Rolling Average.
  • Visualizing the Patterns and Matrices using Bokeh Plots