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We will attempt to predict the movement of the NIFTY index in the next trading session by learning from historical data.
Other than the standard OLHCV (Open, Low, High, Close, Volume) data obtained from the National Stock Exchange website, we have calculated the values of a number of indicators:
1. Ultimate Oscillator (UO)
2. Ulcer Index (UI)
3. Pring's know sure thing (KST)
4. Relative Vigour Index (RVI)
5. Positive Volume Index (PVI)
6. Market Facilitation Index (MFI)
7. Intraday Momentum Oscillator (IMI)
8. Elder's Force Index (EFI)
9. Detrended Price Oscillator (DPO)
10. Chande Momentum Oscillator (CMO)
11. Aroon Oscillator (AO)
12. Fisher Transformation (FT)
13. Mcginley Dynamic (McD)
14. Return On Interest (ROI)
15. Relative Strength Index (RSI)
16. Exponential Moving Average (EMA)
17. Moving Average Convergence and Divergence (MACD)
18. Stochastic Relative Strength Index (SRSI)
19. Williams %R Oscillator (Williams)
20. Average True Range (ATR)
21. Commodity Channel Index (CCI)
We have trained on this data by constructing a Neural Network using TensorFlow
Contributors
Chinmay Singh
Sayantan Das
Varun Madhavan
Yash Kulkarni
Manasi Bandhaokar
About
Prediction of Stock prices using a variety of indicators and a DNN