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🎓 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
🧩 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
🧩 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
📝 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
Description 🎯 Exercise Objective To verify that the student understands how to filter and select strategies when all of them appear valid, applying reasoned judgment rather than relying solely on isolated metrics. This exercise evaluates the student’s ability to: Analyze similar strategies Compare equity curves and behavior Justify selection and discard decisions 📋 Assignment Based … Leer más
🎯 Exercise Objective Learn how to correctly execute an Automatic Retest using Method 2, adapting strategies to a small trading account, without using the final data reserved for the definitive portfolio. This exercise is designed to ensure that the student: Becomes familiar with the use of Automatic Retest Understands which data should be used and … Leer más