Clustering top 500 NSE companies
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Updated
Dec 8, 2022 - Jupyter Notebook
Clustering top 500 NSE companies
Scrapping Automation suite : NSE 52 Weeks High-Low data, to be run once daily in the evening Indian Standard Time, it saves the output in CSV file. Commit the changes, and the git diff can be seen and analysed, between any two commits, to identify the market trends
A live market depth dashboard using 5paisa trading APIs and Next.js
Utility for fetching live stock prices from NSE.
a basic scrapper to scrap NSE-FII data
Offers mutliple ways to calculate numerical standard errors (NSE) of univariate (or multivariate in some cases) time series.
Update Daily FIIs, DIIs and NIFTY Data
Python script to scrap the data from moneycontrol.com and send the alert mail about stock splits and quaterly meetings of companies.
NSE and BSE data monitor
[Desktop Application] Stock Market Prediction Application with Interactive Curves and Interface with a feature to include user's intuition into the Prediction.(Markets : NSE, BSE, S&P500)
This is a pivot point Analysis on the NSE 500 stock data, that was scrapped from Money control website using python libraries.
Async Python Program for truedata feed processing
Live Equity and Future comparison (basis, basis percent) with order placement using Zerodha Kite APIs and Next.js
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