Advanced Track

Quantitative Trading & Algorithmic Strategy

Transition from discretionary chart reading to statistical verification. Build quantitative models, design opening session range breakouts, and run automated risk backtests.

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Course Overview

Discretionary charting is only as strong as its statistical foundation. In this 6-week advanced course, we teach you how to gather intraday distribution data, identify structural edge, backtest strategies across multi-year tick data, and write clean algorithm execution parameters.

You will learn the specific mathematics behind opening breakout strategies on major indices (DAX and Dow Jones) and study statistical arbitrage setups. We provide coding templates and spreadsheets to log volatility data so you can trade with a quantified edge.

Key Learning Objectives

Statistical Edge: How to compile trading statistics to prove a strategy's expectancy and drawdowns.
Opening Range Breakouts: Structure specific breakout models using opening session volatility.
Backtesting Frameworks: Avoid curve-fitting and build survivorship-bias-free historical simulations.

Fast Facts

Duration 6 Weeks
Level Advanced / Quant Track
Certificate Certificate of Completion

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Tuition Fee: $999. Click below to start your diagnostics survey and checkout.

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Course Syllabus

Explore the six modules of the Quantitative Trading curriculum.

Understanding normal distribution, mean, standard deviation, and variance.
Expected value, win rate vs. risk-reward ratio, and drawdown calculations.
Z-score analysis and market mean-reversion frameworks.

Volatility measurements at market opens and charting initial range parameters.
Setting exit thresholds based on historical standard deviations.
Managing slippage, stop-losses, and break-even rules.