QuantProgram – Prometheus Course
The QuantProgram Prometheus Course is a practical, code-first program built for traders who want to move beyond discretionary decision-making and develop systematic, rules-based trading strategies — the kind used by quantitative hedge funds and professional algo traders.
The course is structured around three overlapping skill sets: thinking like a trader, thinking like a mathematician, and thinking like a coder. The premise is that most retail algo trading courses teach one of these in isolation. Prometheus attempts to develop all three in parallel, which is closer to how quantitative trading actually works in practice.
What’s included
10 backtested trading strategies + 2 bonus strategies
Each strategy comes with full source code in TradingView Pine Script, AmiBroker AFL, Python, and QuantConnect. These aren’t theoretical examples — they’re backtested across historical data with position sizing applied, so you can evaluate them against real performance metrics before deploying anything live.
Portfolio-level backtesting
Beyond single-strategy testing, the course covers portfolio backtesting — how multiple strategies interact, how drawdowns compound across a portfolio, and how to size positions in a way that balances risk across the whole system rather than optimising each strategy in isolation.
Core quant concepts
The curriculum covers trend following, mean reversion, profit distribution analysis, MAE/MFE (maximum adverse and favourable excursion), walk-forward optimisation, and win rate analysis. These are the building blocks of any serious systematic trading operation, and the course explains both the theory and the practical application of each.
Position sizing and money management
A dedicated section covers how to size positions correctly — one of the most overlooked aspects of systematic trading. Without this, even a statistically sound strategy can produce poor real-world results due to inconsistent risk exposure.
Who this course is for
The Prometheus Course is aimed at traders with some existing market knowledge who want to build or improve a quantitative, algorithmic approach. Some familiarity with coding is helpful — Python or Pine Script in particular — but the course covers the logic behind each implementation rather than assuming deep programming experience.
It’s also relevant for developers or data professionals who understand the technical side but want to apply those skills specifically to systematic trading strategy development.
If you’re looking to build systematic trading strategies with a solid mathematical foundation and working code across multiple platforms, the QuantProgram Prometheus Course covers that process in more practical depth than most courses at this level.
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