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Hi 👋, I'm Preetam Sharma

Student of Artificial Intelligence at Poznan University of Technology

Data Engineer at StoneX

Specialization: Quantitative Development, focusing on option-based financial models and swing trading strategies.

  • 🔭 At present, I am contributing to a Fintech initiative, concentrating on Automated Trading Systems.
  • 🌱 I am currently researching Cached High-Frequency Trading (HFT) and Orderbook Modeling using Statistical methodologies.
  • 👯 I have a keen interest in collaborating on Brain-Computer Interface ventures.
  • 🤝 I am fervently working on Systems Modeling for High-Frequency Trading.
  • 👨‍💻 My complete portfolio of projects is available at https://github.com/white07S.
  • 💬 I welcome queries related to Python, Trading, Investment, Statistical Computations, and Machine Learning/Deep Learning techniques.
  • 📫 Reach out to me directly at [email protected].
DS,ML&DL Languages Database Framework&Tools
tensorflow c cassandra django
pytorch cplusplus d3js docker
selenium python mongodb gcp
scikit_learn java mysql kafka
opencv rust redis flask

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preetam_sharma

Preetam Sharma's Projects

black-scholes icon black-scholes

Implementation of Black Scholes model in python and tested on Options

budget icon budget

Family Budget for sharing expenses and income

deepar icon deepar

Time Series forecast using DeepAR and Q-learning

evolutionary-hft icon evolutionary-hft

Classification of Buy or Sell in HFT data with ensemble model of LightGBM and Random Forest.

financial-volatility icon financial-volatility

A Full-Stack volatility measure web-app using FastAPI, Streamlit and PostgreSQL with Docker support

forex icon forex

Real-time economic events analysis and bi directional forecast

forex-fibonacci icon forex-fibonacci

A mathematical model for Fibonacci Retracement and location entry and exit formulation using ML

forex-recovery icon forex-recovery

A model created based on LSTM, breakout and economic calendar for predicting the recovery rate in Forex market.

forex-trading icon forex-trading

A simple implementation of HFT (High-Frequency Trading) in Python on the concept of DQN for forex market

forexrl icon forexrl

A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management

hft-arbitrage icon hft-arbitrage

Find the arbitrage anomaly and repair it for high-frequency trading

hft-hedging icon hft-hedging

This repository hosts an algorithm designed for High-Frequency Trading (HFT), The core aim is to optimize hedging decisions at every time step `t`.

hft-rl-stocks icon hft-rl-stocks

An specific version of RL that is know as Twin Delayed DDPG(TD3) implemented for stocks to train a model and trade on high volume and volatility

kalman-filters icon kalman-filters

Kalman filters implementation in Financial models for correlation and Linear regression

optimized_cluster icon optimized_cluster

Optimized cluster in finance and detecting false investment strategies using Unsupervised Learning Methods

pricing-models icon pricing-models

Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning Model with assessment and performance.

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