Quantitativo – From Idea to Execution – Build and Trade Quantitative Systems with Python

Price: $995

Your Price: $35

URL: https://quantitativo.carrd.co/

Quantitativo – From Idea to Execution – Build and Trade Quantitative Systems with Python

Course Overview

This quantitative trading course teaches you how to go from idea to execution using Python. You'll receive a multiple-asset daily backtester, code implementations of two research strategies and two original strategies, plus execution code to forward-test and run live with Interactive Brokers. Designed for coders with basic programming skills, the course accelerates your ability to build robust systematic trading systems.

Instructor Expertise

The course is delivered by the Quantitativo team, experienced in systematic trading and software-first strategy development. Expect practical, code-driven instruction on backtesting, risk management, and execution workflows that translate academic ideas into tradable systems.

Core Topics & Related Concepts

• Multiple-asset daily backtesting frameworks and performance measurement
• Implementation of academic strategy research into executable code
• Design and testing of original systematic strategies
• Live execution integration with Interactive Brokers
• Risk management, portfolio construction, and trade scheduling

Key Features & Benefits

✅ Your own multiple-asset daily backtester for hands-on strategy testing.

✅ Full code implementations of two published strategies and two original strategies.

✅ Execution-ready code for Interactive Brokers to forward test and live trade.

✅ Private community access for feedback, troubleshooting, and idea exchange.

Modules

✏️ Module 1: Introduction to systematic research and project setup.

✏️ Module 2: Data ingestion, cleaning, and universe construction.

✏️ Module 3: Building a multiple-asset daily backtester (code walkthrough).

✏️ Module 4: Implementing research strategies from papers (Strategy A & B).

✏️ Module 5: Developing two original strategies and hypothesis testing.

✏️ Module 6: Performance analytics, walk-forward testing, and validation.

✏️ Module 7: Risk controls, position sizing, and portfolio construction.

✏️ Module 8: Order generation, scheduling, and slippage modeling.

✏️ Module 9: Execution integration with Interactive Brokers (IB) API.

✏️ Module 10: Forward testing and deployment best practices.

✏️ Module 11: Monitoring, logging, and alerting for live systems.

✏️ Module 12: Optimization pitfalls and overfitting avoidance.

✏️ Module 13: Portfolio-level evaluation and rebalancing logic.

✏️ Module 14: Scaling strategies across assets and timeframes.

✏️ Module 15: Community Q&A, next steps, and additional resources.

What Our Students Say

✨ "The backtester and execution templates saved me months of work and let me validate ideas fast."

✨ "Clear code, practical examples, and a community that helps you ship production strategies."

Results in Action

Short case studies show how learners took strategy concepts, implemented them using the supplied codebase, validated performance through walk-forward testing, and deployed live executions via Interactive Brokers. These documented workflows illustrate reproducible steps from idea to production.

Limited-Time Opportunity

⏰ Limited seats for direct support and community onboarding — enroll now to secure immediate access and priority feedback.

⏰ Special group-buy price available for a short time: Your Price $35 (regular $995).

Frequently Asked Questions

❓ Who is this course for?

❓ What coding experience is required?

❓ Does this include live trading code for Interactive Brokers?

❓ Is there community support and updates?