Nnaemeka C.

Hi there! I’m Nnaemeka — a Quantitative & Algorithmic Trading Engineer with strong expertise in Pine Script, automated trading systems, and data analysis for financial decision-making. I help traders, investment teams, and fintech founders transform raw ideas into data-validated insights, robust trading algorithms, and fully automated workflows that operate reliably in live market conditions. My engineering philosophy is simple: Let data guide decisions. Let automation enforce discipline. Let systems produce consistency. 🔧 What I Do Best Algorithmic & Quant Strategy Engineering • Trend, mean-reversion, volatility & hedging models • Multi-layer and REC-based recovery systems • Signal modeling & feature extraction • Backtesting, optimization & walk-forward validation Data Analysis & Financial Insights • Market data cleaning, transformation & statistical breakdown • Exploratory data analysis (EDA) for price action & volatility • Pattern detection, correlations & regime identification • Python-based quant research (pandas, numpy, statsmodels) Platform-Specific Engineering • TradingView (Pine Script v5/v6): indicators, backtest engines, dashboards, smart alerts • MT4/MT5 (MQL4/MQL5): EAs, risk managers, automation tools • Cross-platform automation: TradingView → MT5 bridging, APIs, webhook execution Automation & Execution Logic • Multi-entry/exit logic • Trade management engines • Risk, REC, and drawdown-control frameworks • Order routing filters & execution logic 🎯 Why Clients Work With Me • I combine quant analysis, software engineering, and trading logic into one service. • My systems are built for clarity, reliability, and performance, not just “code that compiles.” • I explain complex concepts simply and maintain open, professional communication throughout projects. If you need a quant-minded engineer who can analyze your data, build intelligent trading systems, or automate your entire workflow, I’m here to help.