Trading Platforms & Financial Systems
I build fintech software as someone who uses it daily. I trade ES, NQ, CL, and GC futures every morning before I write code. When I build a trading platform, I'm building for myself — not just for a spec.
Most fintech developers know the code. I know the code AND the domain. That means fewer misunderstandings, fewer iterations, and software that traders actually want to use.
185
Database Tables
Nexural Trading Platform
$10M+
Daily Volume
HighStrike Platform QA
200+
ML Indicators
AlphaStream Engine
8
Symbols Traded
Active Futures Trading
What I Build for FinTech
Trading Platforms
Real-time market data dashboards, order management, portfolio tracking. Built for speed — sub-50ms query times on 185+ table schemas.
Risk Management
VaR/CVaR calculation, position sizing, drawdown monitoring. Ledoit-Wolf covariance estimation, Monte Carlo simulation, portfolio optimization.
Payment & Billing
Stripe integration with webhook idempotency, subscription lifecycle management, proration handling, dunning strategies.
Real-Time Data
WebSocket streaming with auto-reconnection, market data pipelines, price alerting systems with millisecond latency.
ML Signal Systems
200+ technical indicators, walk-forward validation, ensemble ML models (XGBoost, LSTM, LightGBM) for systematic trading signals.
Community Tools
AI-powered Discord/Telegram bots for trading communities. GPT-4o integration with financial safety guardrails, auto-moderation.
Why Domain Expertise Matters
A developer who doesn't trade will build you a "chart with buttons." A developer who trades daily will build you:
- + Order entry that matches how traders think (not how databases store data)
- + Risk displays that show what you need in a crisis, not a dashboard
- + Alert systems calibrated for real market noise, not theoretical thresholds
- + Backtesting that accounts for slippage, commissions, and partial fills
My trading experience:
- - 8 futures symbols daily (ES, NQ, CL, GC, and more)
- - NinjaTrader 8 + Sierra Chart (C# strategy development)
- - 120,000+ word book on trading (24 chapters, editorial phase)
- - Built AlphaStream ML signal system with 200+ indicators
Ready to Build Your Trading System?
30-minute discovery call. We'll discuss your platform needs, timeline, and budget.