Algorithmic Trading Systems Developer
Trading systems that behave the same in backtest and live.
I build, port and connect trading systems — NinjaTrader, MetaTrader, TradingView, cTrader, Sierra Chart — and the Python/ML and web backends behind them.
What I do
Trading platform development
Indicators, strategies and EAs in NinjaScript (NT8), MQL4/5, Pine Script, cAlgo, Sierra Chart ACSIL and Quantower.
Platform ports & conversions
Pine → NT8 / MT5 / cTrader ports with bar-by-bar parity checks against the original.
Bridges & automation
TradingView webhooks, Discord and Telegram signals, ZeroMQ and WebSocket links between platforms, brokers and Python.
Quant research & ML
Walk-forward backtests, robustness and Monte Carlo testing, XGBoost / LightGBM / PyTorch models served over FastAPI.
Trading SaaS & dashboards
Next.js / Node backends, licensing, Stripe billing, CRM integration, real-time dashboards.
Featured work
Quant & MLAlgorithmic Futures Portfolio — 12 Strategies on One Prop Account
End-to-end systematic stack for CME futures, from 82M one-second bars to 12 intraday strategies sized to survive a $2,000 trailing-drawdown rule, executed live through NinjaTrader 8.
Full-StackTrading-Signal SaaS & CRM Platform
Production platform that sells and licenses trading products, takes in TradingView alerts, distributes MT4/MT5 EAs and runs billing, CRM and community access.
Quant & MLNinjaTrader 8 + Python ML Engine
An NT8 strategy that asks a Python XGBoost engine for every decision, with classification and regression modes and scheduled retraining.
IntegrationsTradingView → MT5 Signal Executor
Webhook server plus MT5 Expert Advisor that turns TradingView alerts into managed trades across one or many accounts.
IntegrationsReal-Time Trading Signal Dashboard
WebSocket signal transport with sender and receiver dashboards, a prototype of an MT5 → cTrader trade copier.
Stack
Platforms
Languages
Quant / ML
Web