UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 1
January-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2301253


Registration ID:
507266

Page Number

c418-c424

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Title

DATA ANALYSIS WITH PYTHON (STOCKS CORRELATION & BACKTEST)

Abstract

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.

Key Words

DATA ANALYSIS

Cite This Article

"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

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"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

Publication Details

Published Paper ID: JETIR2301253
Registration ID: 507266
Published In: Volume 10 | Issue 1 | Year January-2023
DOI (Digital Object Identifier):
Page No: c418-c424
Country: North West Delhi, Delhi, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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