RAHUL KUMAR SINGH

• Developed and backtested using Python for Mean Reversion (EMA, RSI, BB) and Super Trend.
• Set up, InfluxDB, processed the seconds data, cleaned, structured, and wrote it in the DB.
• Downloading Daily Seconds data from XTS.

• Backtested using Python:

1. Momentum trading in crypto (MFT).

2. ROC trending indicator and ATR (Average True Range) in NSE (MFT).

3. Stoch indicator and S&R (support and resistance) in NSE (MFT).

• Developed a REST API for Delta Exchange and OKX Exchange in Python.
• Downloading and storing Level 1 and Level 5 live order book (tick-by-tick data) from Delta Exchange (crypto) using REST API.
• Downloading tick data of the ticker from Delta Exchange (crypto) and storing it day-wise, after processing the raw file, to format it in a CSV file.
• Developed a Telegram bot to send automated messages (signals) using Python.

• In High Frequency Trading at MCX, I was responsible for trading two market-making strategies in the commodity market.
• Automation of strategy launching and closing, strategy after market, PnL script, and stats generation after market, updating instruments in the live market using Python and Bash scripting.
• Exploring new instruments in the market and introducing them to the current strategy.
• Handling P&L generation and automation of P&L scripts for traders trading in the Brazilian market.
• Understanding the operation of the risk team and contributing to it, such as RMS rejects, margin hit alerts, banned stocks, and so on.
• Engaged in a research project using regression (big data analysis) in Tick-By-Tick data.

• Enhancing the Natural language processing of Alexa by rectifying the error in the ML model