Context

I struggled to find adjusted historical prices of NSE top shares. I spend lot of time to find and download this information. This data is clean, with adjusted prices and complete.

Content

National Stock Exchange of India Limited (NSE) is the leading stock exchange of India, located in Mumbai, Maharashtra. It is world’s largest derivatives exchange in 2021 by number of contracts traded based on the statistics maintained by Futures Industry Association (FIA), a derivatives trade body.

This data contains 20 years of OHLCV daily prices of stocks from following indices:

1. NIFTY 50 : The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange.
2. NIFTY NEXT 50 : The Nifty Next 50 is an index that represents the performance of the next 50 stocks that come after the top 50 stock in the order of the float market capitalization, and they can even be potential candidates for inclusion in Nifty 50 in the future.
3. NIFTY MIDCAP 100: The objective of the NIFTY Midcap 100 Index is to capture the movement and be a benchmark of the midcap segment of the market. The NIFTY Midcap 100 Index represents about 9.9% of the market capitalization of the stocks listed on NSE as on March 29, 2019.

Acknowledgements

I used many online python packages. and finally investpy is the only package which can gives such rich information. "investpy" is a Python package to retrieve data from Investing.com

Inspiration

I would like to ask:

1. Can you predict long entry points with high Alpha and low Beta? e.g. trade which can give me 10% profit with 2.5% - 3% stoploss in next few trading sessions(between 5-22)?
2. Can you predict outcome of tomorrow's file which can beat benchmark of present price.