top of page
_DSC0052a.jpg

Prajwal Pol

Quantitative Researcher ,Quant/Algo Trader

Phone:

+91 9860172522

Email:

prajwalpol777@gmail.com

Address:

Pune,Maharashtra,India

Date of Birth:

November 7th 1997

A Bit About Me

Hi, I’m Prajwal Pol — a data-driven, algorithm-obsessed Quantitative Researcher and Options Algo Trader. With over 6 years of hands-on experience in financial markets and machine learning, I specialize in building predictive models and automated strategies that drive consistent outperformance.

 

From designing high-frequency option-selling systems to developing AI-powered signal engines, I blend Python, XGBoost, Pine Script, and real-time market data to turn ideas into executable edge. My trading engines have scaled to manage portfolios with ₹1 crore+ daily turnover, and I consistently deliver 35%+ annual ROI. Sharp Ratio 3.88

 

I’m deeply passionate about:

 

  • Algorithmic trading

  • Market structure research

  • Backtesting frameworks

  • Live deployment via broker APIs (Zerodha, TrueData)

 

 

Outside the charts and code, I enjoy solving puzzles, optimizing systems, and collaborating on impactful fintech projects.

Work Experience

Quantitative Researcher - Miftech Services Pvt. Ltd., Maharashtra.  Apr 2022 – Jun 2025

•Built an AI-powered options trading engine using 30+ indicators, open interest, volume patterns, and price action.

•Developed daily directional signal models (“Sell CE / PE / Straddle”) with over 70% hit rate, based on 2 years of tick-level NIFTY FnO data.

•Managed a $10M AUM proprietary trading startup, delivering 35% average annual ROI for 4 consecutive years.

•Engineered REX-style straddle/strangle selling models with features like re-entry logic, strike rebalancing, dynamic stop-loss, and day-specific setups.

•Integrated real-time data from Zerodha APIs and built custom Excel-VBA dashboards to monitor live PnL, exposure, and deltas across 10+ strategies.

 

Proprietary Trader - Share India Securities Ltd., Mumbai. Apr 2020 – Mar 2022

•Executed systematic trading strategies on derivatives, adapting to real-time market volatility and trend shifts.

•Automated key workflows, improved order execution efficiency, and maintained detailed trade logs to optimize system performance.

•Enhanced capital protection using dynamic position sizing, risk control, and stop-loss logic.

•Collaborated with traders to share strategies, contributing to a high-performance, data-driven desk culture.

 

Options Trader -  (Self-Employed)Remote | Pune. Jan 2018 – Jan 2022

•Independently researched and executed profitable options trades using algorithmic models.

•Built and refined trading systems based on statistical analysis and market behavior.

•Continuously evaluated live trades to adapt to evolving price action and volatility environments.

Skills

🧠 Quantitative & Trading Skills

  • Options Greeks: Delta, Gamma, Theta, Vega analysis

  • Intraday & Swing Options Strategies (REX, Directional, Straddle/Strangle)

  • Market Microstructure, Order Book Analysis, Volume Profile

  • Risk Management & Portfolio Hedging

​

💻 Programming & Tools

  • Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, ta-lib)

  • Pine Script (for TradingView indicators and signal generation)

  • Excel-VBA (live dashboards, margin tracking, PnL logs)

  • Backtesting Engines (custom-built with re-entry, time filters, SL logic)

  • API Integration: Zerodha Kite Connect, TrueData WebSockets

​

📊 Data Science & Machine Learning

  • Supervised Learning (Classification, Regression)

  • Feature Engineering for Market Data

  • Hyperparameter Tuning (GridSearchCV, Bayesian)

  • Data Visualization (Matplotlib, Seaborn)

​

⚙️ Platforms & Tools

  • TradingView, Amibroker, Excel

  • Stoxxo, Backinzo, TrueData

  • GitHub, PyCharm, Jupyter Notebook

bottom of page