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@Coderixc
Coderixc
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Kamal Chanchal Coderixc

Looking for new opportunities as a Quantitative Developer, Researcher, or Software Developer
  • India

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Coderixc /README.md

Hi πŸ‘‹

Software Developer

I worked as a Senior Software Developer, focusing on designing, developing, testing, and deploying software solutions for automated trading systems at prop trading firms and fund houses [Enora Gloabal Fund ( https://www.enoraglobal.com) ,etc] . My work covered multiple segments, including Index, Options, Futures, Cash, and Currency (USDINR).

I have a strong understanding of financial markets, quantitative methods, and systematic trading. My expertise lies in low-latency coding, primarily using C#. I also have experience with Python, Windows Desktop Applications, .NET Framework, and MySQL.

I prioritize delivering custom software solutions for Quantitative Analysts, Researchers, and Traders, ensuring efficient and reliable performance. My software executes a high number of trades, monitors trading strategy performance in real-time, and maintains large datasets for executed trades.

  • 🌍 I'm based in India
  • βœ‰οΈ You can contact me at kchanchal78@gmail.com
  • 🧠 I'm learning Financial Market

Skills

C# Python MySQL Oracle .NET

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  1. AdvancedTradingAlgorithm AdvancedTradingAlgorithm Public

    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

    13 6

  2. BankNifty_Algo_Strategy BankNifty_Algo_Strategy Public

    Python Trading Strategy Analyzer: Backtesting and Metrics Framework

    Python 7 3

  3. InteractiveBrokerPython InteractiveBrokerPython Public

    Welcome

    Python 5 2

  4. TradingStratgey TradingStratgey Public

    Volume based Trading Strategy with Crossover of SMA and Current Candle

    Python 2 2

  5. BlackScholesModel BlackScholesModel Public

    Black Scholes Model Implementation in C#

    C# 2

  6. ActivationFunction ActivationFunction Public

    A C++ project showcasing activation functions in neural networks, focusing on AI, neural network design, memory management, and scalable architecture for machine learning applications.

    C++ 1

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