I will be your quantitative trading systems engineer with python and ai
Quant Developer, AI and Python Expert for Institutional Trading Systems
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Im Filipe, a quantitative trading systems engineer focused on building robust, research-driven strategies for traders, proprietary firms, and investors who demand statistical rigor and real-world validation.
With 10,000+ hours in quantitative development, I specialize in systematic strategy design, advanced backtesting, statistical validation, and applying AI/ML concepts to financial markets.
This is not just a coding service.
Each project follows a complete quantitative engineering process, tailored to your objectives, constraints, and risk profile.
The focus is never curve-fitted performance, but robustness, reliability, and execution quality through out-of-sample testing, walk-forward analysis, and Monte Carlo simulations when needed.
What you receive:
- Professional trading systems.
- Advanced strategy modeling and validation.
- Realistic, unbiased backtesting.
- Integrated risk and capital management.
- Clean, modular, well-documented code.
- Exclusive proprietary solutions.
- Post-delivery support.
- My goal is to transform your ideas into structured, testable, and executable trading systems designed for real market conditions.
Send me your idea and lets build it properly.
Platform:
TradingView
•
MT5
•
NinjaTrader
Development technology:
Python
•
PineScript
•
Cpp
My Portfolio
FAQ
How does the process work?
We define objectives, data, constraints, and environment. From there, I develop a complete quantitative solution with rigorous validation and a focus on robustness.
Do you build AI/ML models?
Yes. I build pipelines with proper validation (cross-validation, OOS), prioritizing generalization and avoiding overfitting.
Which platforms do you support?
Python (custom infrastructure), QuantConnect, MetaTrader, NinjaTrader, TradeStation, TradingView, IBRK, Alpaca, Binance, and integrations via API/FIX/WebSocket.
Are the backtests reliable?
Yes. I use cleaned data and professional methodologies, including OOS, walk-forward, and, when applicable, Monte Carlo.
Is the code exclusive?
Yes. All development is 100% proprietary and never reused.

