Devesh Kumar's repositories
abseil-cpp
Abseil Common Libraries (C++)
AlgorithmicTrader
Framework for algorithmic trading
AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
algotrading
Algorithmic trading framework for cryptocurrencies.
auxiliary-programs
Repo to store auxiliary c++ programs that can help to solve bigger problems.
cpp-http-server
HTTP server created using C++
python-reverse-shell
First project in Network Programming
quantum_circuit_01
First quantum circuit
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
backtrader
Python Backtesting library for trading strategies
cpp-multithreading
An example implementation of a multithreaded sorting program in C language that divides a list of integers into two smaller lists of equal size and sorts them using quicksort algorithm. The program uses two sorting threads and a merging thread to merge the two sublists into a single sorted list.
cricket-data-analysis
Project for the analysis of cricket data.
data-analysis-1
Repository for data analysis project.
evaluator-assingment
Assingment
grpc
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
medebuddy
Simple Hospital Management System app built using Python, Tkinter for GUI, and MySQL for database connectivity.
options-cpp
Repository for programming related to options and options pricing.
pyalgotrade
Python Algorithmic Trading Library
PythonTrainingExercises
Code to exercise your Python knowledge.
QFinance
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
quant-research-space
Python implementation of Monte Carlo simulation to estimate the risk of a portfolio consisting of a variety of stock options.
quantitative-programming-python
Quantitative Programming applied in Python Language.
QuantLib
The QuantLib C++ library
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
web-proxy-server
HTTP web server with a blacklist URL filter.