walter salcedo

I am a systematic trader with hands-on experience designing, backtesting, and operating intraday and medium-frequency futures strategies, primarily on Nasdaq Micro/NQ and DAX. I build end-to-end trading pipelines combining data engineering, feature generation, machine learning, execution integration, and automated monitoring.

My technical toolkit centers on Python with NumPy, Pandas, scikit-learn and XGBoost; I develop automated OHLCV datasets enriched with technical indicators and validate models with realistic out-of-sample testing. I have created multiple validated strategies — including scalping, intraday points-based models, stop-hunt detection, and ML-enhanced support/resistance reversal models — each with risk-managed execution rules.

I integrate real-time execution with platforms like NinjaTrader, implement robust trade controls (TP/SL, max trades/day, forced close), and produce daily performance reporting (win rate, profit factor, drawdown, cumulative P&L). I am eager to contribute strategy development and portfolio construction expertise to a results-driven trading team.