TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

A fully automated script to download and update NSE EOD Historical stock, index and delivery data with added features

This strategy works for every market condition irrespective of the movement

Uiua Module for Technical Analysis in Financial Markets

A simple tool-kit written in python for sourcing and displaying macroeconomic and financial data.

Working with Alpaca's API, to help make develping strategies an easier task

Py-Alpaca-Api is a python package aimed at simplifying communication with Alpaca Markets REST API

Welcome to my landing page

Easily parse SDR data with this web application!

The Streamlit App assesses the strength of stocks during downturn periods of the S&P 500 index. Users can enter one or multiple stock symbols, and the app fetches historical stock data to identify which stocks performed strongly on days when the market was generally declining.

Trading journal with statistical analysis and balance sheets.

calculates monthly interest rates for a data scientist's income over 7 months using different APRs. Findings include average and mean APR, income before and after interest, and visualizations of income and interest rates. Ideal for financial analysis enthusiasts, it offers insights into income variations and interest impacts."

Predictor for stock and ETF prices

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Portfolio optimisation library.

An open source time-series database for fast ingest and SQL queries

A Python program for optimizing investments over a defined period, taking into account various parameters such as initial investment, duration, savings rate, dynamics, interest rate, and costs. The program provides both tabular and graphical representation of the investment's development, along with a detailed analysis of the results.