Aug 2022 – Sep 2022 · 1 mo · Delhi, India

• Backtested different trading strategies by different Metrics and Parameter such as Max drawdown , Shape ratio etc.
• ◦ Built a model which detect the spike on implied-volatility moving average supertrend acted as secondary indicators.
• ◦ Built historical market data warehousing platform using python and trade desk analytics tools to visualize live models.
• ◦ Worked on the tick by tick data and converted it into candle then predicted next candle by XGBoost sent the signal on a
• bot and got accuracy of 0.71. Created a proper trade structure on Nifty and Bank Nifty