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MODULE 2 EXERCISE – BUILDER CONFIGURATION 🎯 Exercise Objective The objective of this exercise is to verify that the student has correctly understood and applied the entire Builder configuration covered in Module 2, including data settings, data partitioning, genetic options, trading options, building blocks, Money Management, and ranking. The student must configure a complete Builder … Leer más
Task Description To verify that you have correctly understood the asset configuration process in StrategyQuant, you must configure two new assets that have NOT been explained in the module videos. The assets must meet the following conditions: One Forex asset (currency pair) One index The assets must not be assets used as examples in the … Leer más
📝 Final Exercise – Module 6 Final Portfolio Validation Using New Data (StrategyQuant + QuantAnalyzer) 🎯 Exercise Objective To verify that the student is able to validate a complete trading portfolio using previously unused data, analyzing its behavior both in StrategyQuant and QuantAnalyzer. This exercise evaluates: Correct testing of the combined portfolio Consistency between different … Leer más
🧩 MODULE 8 – PRACTICAL EXERCISE Creating Templates from an Existing Strategy 🎯 Exercise Objective The objective of this exercise is to verify that the student understands: How to start from a strategy already generated in the Builder How to modify that strategy using AlgoWizard How to convert the strategy into a search template How … Leer más
🧩 MODULE 9 – PRACTICAL EXERCISE Market Research and Pattern Detection (Trend, Mean Reversion & Seasonality) 🎯 Exercise Objective The objective of this exercise is for the student to learn how to research a financial asset, interpret its behavior, and correctly classify it as: Trend-following (Breakout) Mean Reversion Additionally, the student must identify possible seasonal … Leer más
🎓 FINAL COURSE PROJECT – MODULE 10 Design and Validation of Trading Portfolios for Different Professional Environments 🎯 Objective of the Final Project The objective of this final project is to verify that the student has fully understood and is able to adapt algorithmic trading portfolios to different professional environments, respecting: Specific risk rules of … Leer más