• Shivang Dvivedi
• Rahul Singh
• Akshay
• Hitesh

The Stock Market is a fascinating yet uncertain world. It is full of uncertainties. Only around 5% of traders make money in the market. According to most successful traders, having a strategy is better than randomly taking a trade. But the problem for manual trades arises in backtesting his/her strategies for verification. Backtesting is the general method for seeing how well a strategy or model would have done ex-post. In this minor project we have tried to backtest particular strategy using technology by eliminating manual hustle. We have also tried to find the correlation between two Indian Indices i.e. NIFTY & BANK NIFTY. We have formed our own setup and backtested it using python to get the desired output. We have written set of codes to automate the backtest for quick and reliable results. Our aim is to cut down the manual labour (Backtesting Execution) of the traders, so that they can focus more on the innovative ideas in the form of chart patterns.

DATA ANALYSIS

"DATA ANALYSIS WITH PYTHON (STOCKS CORRELATION & BACKTEST)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.c418-c424, January-2023, Available :http://www.jetir.org/papers/JETIR2301253.pdf

"DATA ANALYSIS WITH PYTHON (STOCKS CORRELATION & BACKTEST)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppc418-c424, January-2023, Available at : http://www.jetir.org/papers/JETIR2301253.pdf