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CryptoIndie
Your Personalized Algo-Trading Solutions

About Us

John J Murphy
Sajal Shyam Singh
B.E. (Mechanical Engineering), Jadavpur University, Kolkata
M. Tech (Material Science & Engineering), IIT Kharagpur

I am a Mechanical Engineer by profession. I worked with Maruti Suzuki India Ltd as Service Manager for two years. Then shifted to another industry. I have diverse interests that include mountaineering, trekking, traveling, photography, adventure sports, and drumming, all of which reflect my passion for exploration, creativity, and continuous learning.

My investment journey began in 2016 with a strong focus on fundamental analysis. Over time, I gradually shifted towards technical analysis and developed a deep interest in understanding market trends, price action, and trading psychology. The initial phase was challenging and filled with losses, but those experiences played a crucial role in shaping my learning process. I explored multiple trading and investment styles across different time frames before eventually finding consistency in short-term and medium-term swing trading strategies. I also experimented with Futures & Options (F&O) trading; however, the high capital requirements and risk exposure in the Indian derivatives market made it difficult to sustain over the long term.

In 2023, I was introduced to the cryptocurrency market by one of my colleagues, and it completely changed my perspective on trading opportunities. Compared to traditional stock markets, cryptocurrencies offered several advantages such as lower capital requirements, higher leverage, and 24×7 market access. These features made the market highly attractive, especially for active traders. However, managing trades manually alongside a full-time profession was extremely difficult. This challenge led me to realize that algorithmic trading was the most effective solution for maintaining discipline, consistency, and efficient trade execution without constant market monitoring.

The idea of developing an algorithmic trading system first came to my mind in 2020, but the lack of in-depth programming knowledge made implementation difficult at that stage. Although I possessed basic coding knowledge, it was not sufficient to build a reliable and scalable trading system. Determined to overcome this limitation, I dedicated myself to learning programming in greater depth and gradually started implementing trading systems with the support of modern AI tools and automation technologies. After nearly two years of continuous learning, research, and development, CryptoIndie was created. My vision is to continuously improve and evolve CryptoIndie into a more advanced and reliable algorithmic trading platform in the future.