Hi 👋 My name is Kamal Kumar Chanchal

Software Developer

I have four years of hands-on experience in building in house software for executing trades with low latency and accuracy using cutting-edge technologies like C#, .NET, Python, MySQL, and Boost Python. if you share an interest in quantitative finance, algo trading, and leveraging technology to gain a competitive edge, let's connect .

🌍 I'm based in India
✉️ You can contact me at [email protected]
🧠 I'm learning Financial Market

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Kamal Chanchal's Projects

advancedtradingalgorithm

Best GitHub Repo from Algorithm Trader, where Quant is applied in Financial Data. This will include multiple segments and different technolgy to get the outcome

banknifty_algo_strategy

Python Trading Strategy Analyzer: Backtesting and Metrics Framework

blackscholesmodel

Black Scholes Model Implementation in C#

coderixc

Config files for my GitHub profile.

datastructure

Data Structure using C# for Algorithmic Trading

finance_strategy_statistics

Idea : Apply Stat to Find Equity Symbol whose Condition is recognized as BUY/SELL from Back Intraday Data

machinelearning

Welcome to our repository dedicated to applying machine learning techniques in the domain of trading. Here, we offer a comprehensive insight into applying machine learning techniques to trading strategies.

pricefeedx

This Module will load NSE Top 100 Stocks and Its Price (Current LTP and 5 Day Previos Price) will store all NSE Stocks Symbol in Database(using Mysql) .

trading-simulation

This project is a Trading Simulator built using C# and .NET Framework 6.0, utilizing the WinForms framework for the user interface. The main goal of the application is to simulate trading functionalities within a Winforms form, including generating buy and sell trade events, visualizing stock charts, and executing trades.