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👨‍💼 HEMANT's Profile

📚 About Me

I am a passionate graduate in Engineering Physics from the prestigious Indian Institute of Technology Bombay (IIT Bombay). With a solid foundation in physics, mathematics, and engineering principles, I have cultivated a keen interest in the intersection of quantitative finance and trading.

🎓 Education

  • Bachelor of Technology (B.Tech) in Engineering Physics
    • Indian Institute of Technology Bombay (IIT Bombay)
    • Year of Graduation :2023

💼 Skills

  • Quantitative Analysis: Proficient in employing mathematical and statistical techniques to analyze financial data, model market behaviors, and derive insights.
  • Programming Languages: Skilled in Python,C++ for quantitative analysis, algorithmic trading, and financial modeling.
  • Algorithmic Trading: Experience in developing and implementing algorithmic trading strategies, including high-frequency trading algorithms.
  • Machine Learning: Knowledgeable in applying machine learning algorithms for financial forecasting, risk assessment, and trading strategies optimization.
  • Financial Modeling: Ability to create sophisticated financial models for asset valuation, portfolio management, and risk analysis.
  • Data Visualization: Proficient in using tools like Matplotlib, Seaborn, and Plotly to visualize financial data and analysis results effectively.

🚀 Projects

  • Portfolio Optimization Web App: Developed a web application using Streamlit for portfolio optimization, allowing users to input their assets and constraints to generate an optimized portfolio allocation.
  • Option Pricing with Black-Scholes Model: Implemented the Black-Scholes option pricing model in Python to calculate the theoretical price of European options, considering factors like underlying asset price, strike price, time to expiration, volatility, and risk-free interest rate.
  • Crypto Trading Bot using Binance API: Built an automated trading bot using the Binance API to execute cryptocurrency trades based on predefined strategies and market conditions, incorporating features like moving average and bollinger bnds.

💡 Interests

  • Quantitative Finance: Fascinated by the application of mathematical and computational techniques to understand and exploit patterns in financial markets.
  • Algorithmic Trading: Intrigued by the challenges of developing and deploying automated trading strategies in dynamic and competitive market environments.
  • Financial Engineering: Interested in designing innovative financial products and solutions using quantitative methods to address specific market needs and risks.

📧 Contact Information

🌟 Additional Information

  • Open to collaboration and discussion on projects related to quantitative finance, algorithmic trading, and financial modeling.
  • Actively seeking opportunities to apply my skills and knowledge in real-world financial environments and contribute to innovative solutions in the field.

Feel free to reach out if you have any questions, suggestions, or opportunities for collaboration!

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Heyymant's Projects

awesome-ai-in-finance icon awesome-ai-in-finance

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

mlsys-nyu-2022 icon mlsys-nyu-2022

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

py icon py

Repository to store sample python programs for python learning

quant-trading icon quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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