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Chaitanya's Projects

alice_blue icon alice_blue

Fully automated Algorithmic Trading Bot created with Python for Alice Blue broker. Works on exchanges NSE and MCX for Nifty / Crude / Banknifty futures and options , absolutely FREE

bhavfno icon bhavfno

Analyze FnO trends by using NSE Bhav copy

credit_semaphore icon credit_semaphore

Asynchronous Semaphore Based on Credits for Efficient Credit-Based API Throttling

crm icon crm

CRM App Built in Django

go-tutorial icon go-tutorial

Code Repo for following Along with the book Let's Go by Alex Edwards

gocasts icon gocasts

Companion Repo to https://www.udemy.com/go-the-complete-developers-guide/

hftbacktest icon hftbacktest

A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

inpredo icon inpredo

Inpredo is a Deep Learning tool which looks into financial charts and predicts stock movements.

kinetick icon kinetick

Framework for creating and running trading strategies. Blatantly stolen copy of qtpylib to make it work for Indian markets.

kuix icon kuix

A powerful, modular, easy to use and scalable python algorithmic trading engine.

openalgo icon openalgo

Open Source Algo Trading Platform for Everyone

portfoliostrategybacktestus icon portfoliostrategybacktestus

Master thesis project. The improved estimator of the covariance matrix of asset returns is employed to derive a new trading strategy based on a two-step procedure. First, it shrinks the asset universe via a subset selection, leaving only the most suitable assets. Then, it performs the mean-variance analysis. Back-testing is carried out in the U.S.

superset icon superset

Apache Superset is a Data Visualization and Data Exploration Platform

trading-server icon trading-server

A multi-asset, multi-strategy, event-driven trading platform for running many strategies at many venues simultaneously with portfolio-based risk management and capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.

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