نبذة عني
Analytical and results-driven professional with a Bachelor's degree in Civil Engineering from Institut Teknologi Sepuluh Nopember (ITS) and entrepreneurial experience since 2019. Specialized in systematic trading researc…
Analytical and results-driven professional with a Bachelor's degree in Civil Engineering from Institut Teknologi Sepuluh Nopember (ITS) and entrepreneurial experience since 2019. Specialized in systematic trading research, algorithmic strategy development, and cryptocurrency market analysis. Experienced in developing rule-based trading systems using TradingView Pine Script and conducting historical backtesting across approximately 700 cryptocurrency trading pairs. Achieved Top 4% and Top 11% rankings in competitive trading environments. Passionate about quantitative finance, data-driven decision-making, strategy optimization, and risk management. Seeking opportunities in Quantitative Research, Algorithmic Trading, and Digital Asset Trading.
الخبرة
Trader
<p>Independent Quantitative Trader & Algorithmic Strategy Researcher | ARTM Trading</p><ul><li>Designed and developed proprietary algorithmic trading strategies for cryptocurrency markets, combining technical analysis, price action, volume analysis, and multi-timeframe market structure.</li><li>Developed and refined rule-based trading systems using TradingView Pine Script, translating complex market behavior into systematic entry, exit, and risk management conditions.</li><li>Conducted extensive historical backtesting and strategy research across approximately 700 cryptocurrency trading pairs to evaluate performance under different market conditions.</li><li>Analyzed key performance metrics, including profitability, win rate, maximum drawdown, risk-to-reward ratios, and capital efficiency.</li><li>Researched and optimized trading strategies across multiple timeframes, ranging from intraday scalping to longer-term systematic trading.</li><li>Investigated market regimes, volatility patterns, liquidity behavior, and technical signals to identify potential trading opportunities.</li><li>Experimented with position sizing, leverage, portfolio allocation, and risk management techniques to assess their impact on strategy performance.</li><li>Explored automated trading infrastructure, including TradingView alerts, exchange APIs, and webhook-based execution workflows.</li><li>Achieved Top 4% and Top 11% rankings in competitive cryptocurrency trading environments.</li><li>Continuously refined trading models through hypothesis testing, historical data analysis, and iterative strategy development.</li></ul><p></p>
Founder
<p>Owner & Founder | Aldebaranwear</p><ul><li>Founded and managed Aldebaranwear, a Muslim fashion brand established in 2019, specializing in distinctive men's Koko clothing for the Asian market.</li><li>Conceptualized and developed original clothing designs and exclusive fabric patterns, focusing on creating unique products that stand out from mass-market fashion.</li><li>Applied creativity, analytical thinking, and meticulous attention to detail throughout the design and product development process.</li><li>Maintained exceptionally high standards of precision, aesthetics, and craftsmanship, continuously refining designs to achieve near-perfect results.</li><li>Combined artistic creativity with strategic business decision-making to develop products that balance originality, quality, and market appeal.</li><li>Oversaw business operations, product development, and quality control, ensuring consistency between creative vision and final products.</li></ul><p></p>
المشاريع
ARTM — Quantitative Trading Research & Algorithmic Strategy Developmen
<p>Developed ARTM, an independent quantitative trading research project focused on designing, testing, and optimizing systematic cryptocurrency trading strategies.</p><p>Built rule-based trading algorithms using TradingView Pine Script, integrating multi-timeframe analysis, trend-following indicators, price action, volume analysis, and market structure to identify potential trading opportunities.</p><p>Conducted historical research and backtesting across approximately 700 cryptocurrency trading pairs, evaluating strategy profitability, win rates, maximum drawdown, risk exposure, and capital allocation efficiency.</p><p>Explored different market regimes, position-sizing models, leverage configurations, and risk-management techniques to improve strategy robustness and consistency.</p><p>Researched automated trade execution workflows involving TradingView alerts, exchange APIs, and webhook integration.</p><p>The project demonstrates independent research capabilities, analytical problem-solving, attention to detail, and an iterative approach to developing data-driven trading systems.</p>