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U.S. Treasury Primary Market Transactions & Interest Rate Forecasts

Project Background, Summary & Scope of Analysis: This project explores transaction data from the Monetary Policy known as "Quantitative...

Stock Price Forecasting with Classical Time Series to Deep Learning Method

Time Series is everywhere and we often meet. You may be able to see that in the data on the number of airplane passengers, weather...

Generalized AutoRegressive Conditional Heteroskedasticity ( Volatility Model )

Conclusion We created a Python class garchOneOne that allows fitting a GARCH(1,1) process to financial series. Our estimations are...

Monte Carlo Simulation

A Monte Carlo simulation is a model used to predict the probability of different outcomes when the intervention of random variables is...

Fetch Insider Trading Data Using Python

Insider trading is when a high-ranking officer within a publicly-traded company buys or sells shares of their company’s stock. These...

Options Data for Indian Markets

NSEpy is a library to extract historical data for Indian Equity, Index, Derivative, and Volatility Index (INDIAVIX). In this notebook,...

Web Scrapping Nse Option Chain

The NSE has a website that displays the option chain in near real-time. This program retrieves this data from the NSE site and then...

Standard deviation in Finance and Trading.

As we can see, by its very construction, the variance is in the square of the original unit. This means that if we are dealing with...

OHCL Banknifty Data

If you want to analyze the stock market data for all the stocks which make up BANKNIFTY Index then the below code will help you. It gets...

NSEpy Documentation

Introduction NSEpy is a library to extract historical and real-time data from NSE’s website. This Library aims to keep the API very...