About

Blending technical precision with market intuition to deliver consistent results

I leverage advanced software engineering skills and deep market knowledge to develop sophisticated trading algorithms and execute high-probability discretionary trades. With a systematic approach to risk management and portfolio optimization, the focus remains on sustainable growth and long-term wealth creation.

Current Achievement: Managing a personal portfolio of $18 Million with $350 Million in assets under management across institutional and private clients. Specializing in cryptocurrency markets, forex, commodities, and emerging DeFi protocols.

Computer Engineering & Technical Skills

Full-stack development meets quantitative finance

⚙️ Core Engineering

  • Python (NumPy, Pandas, Scikit-learn)
  • C++ for HFT systems
  • JavaScript/TypeScript
  • Rust for blockchain development
  • Go for microservices

🤖 Machine Learning & AI

  • TensorFlow & PyTorch
  • LSTM & Transformer models
  • Reinforcement Learning
  • Sentiment analysis NLP
  • Computer vision for chart patterns

📊 Trading Systems

  • Algorithmic strategy development
  • Backtesting frameworks
  • Market microstructure analysis
  • Order execution optimization
  • Risk management systems

🔗 Blockchain & Web3

  • Smart contract development (Solidity)
  • DeFi protocol integration
  • MEV bot development
  • Cross-chain arbitrage
  • NFT trading automation

☁️ Infrastructure

  • AWS/GCP cloud architecture
  • Docker & Kubernetes
  • Real-time data pipelines
  • Database optimization (SQL/NoSQL)
  • API development & integration

📈 Quantitative Analysis

  • Statistical arbitrage
  • Time series forecasting
  • Monte Carlo simulations
  • Portfolio optimization (Markowitz)
  • Options pricing models
Performance Overview

Key metrics demonstrating trading excellence

💼

Portfolio Balance

$18M

🏦

Assets Under Management

$350M

📈

Win Rate

82%

💰

Average ROI

+37%

🎯

Total Trades

8,945

Sharpe Ratio

2.4

📊

Total P/L

$12.5M

🔥

Largest Win

$850K

⚠️

Largest Loss

-$125K

🎲

Max Drawdown

9.2%

💎

Avg Win

$15,400

📉

Avg Loss

-$4,200

Monthly Avg Return

+12.3%

Best Month

+47.8%

Worst Month

-8.2%

Consecutive Wins

23

Profit Factor

3.67

Trade History

Yearly breakdown of trading performance

Year Trades Wins Losses Win % Net P/L
2021 450 365 85 81.1% $1,250,000
2022 1,240 1,015 225 81.9% $2,850,000
2023 2,150 1,765 385 82.1% $3,450,000
2024 2,650 2,190 460 82.6% $2,750,000
2025 2,455 2,015 440 82.1% $2,200,000

Notable Monthly Performances

Month Trades Win Rate Net P/L Notable Strategy
Jan 2023 185 86.5% $425,000 BTC breakout trading
May 2023 220 84.1% $380,000 Alt-coin momentum
Nov 2023 195 88.2% $510,000 DeFi arbitrage
Mar 2024 240 85.4% $670,000 ETH ETF anticipation
Jun 2024 165 76.4% -$85,000 Market correction period
Aug 2024 285 87.7% $720,000 Volatility expansion
Jan 2025 310 89.0% $850,000 AI token surge
Milestones

Key achievements in the trading journey

2021 — Foundation

Developed the first automated trading script using Python and Binance API. Gained early traction in BTC swing trading.

2022 — Scaling Up

Expanded operations to include forex and commodities. Achieved consistent 80%+ win rate and 2x portfolio growth.

2023 — Institutional Access

Partnered with private clients and hedge funds, managing over $100M in capital. Implemented ML-based strategy optimizer.

2024 — Algorithmic Dominance

Deployed multi-strategy AI bots with self-learning parameters, achieving 47% best monthly ROI. Entered DeFi and NFT markets.

2025 — Global Reach

Integrated blockchain analytics and AI prediction models. Managing $350M AUM with a growing team of quants and engineers.

Live Market Dashboard

Real-time data from financial markets

Live Trading BalanceTracker : $0