Course Overview

Section 1: Trading Strategy Building ProcessE-Learning (Videos)

• Data Import & Management: Understanding OHLCV data is just the start’. You need to create new features to enhance your strategies with more information.
• Trading Strategies Structure: A mere strategy snippet and a simple backtest won’t suffice’. You need clear, approved processes to establish a robust trading strategy framework.
• Event-Based Backtest: A solid backtest framework is fundamental to any successful trading strategy’. Without it, you can’t fully comprehend your strategies!

Includes 3 Templates!

• Templates for data preprocessing, strategy building, and backtesting to accelerate your project creation.

Section 2: Walk-Forward Optimization & Robustness TestsE-Learning (Videos)

• Optimize Trading Strategy Parameters: Perfect for optimizing take profit, stop loss thresholds, technical indicator windows, or machine learning hyperparameters.
• Walk Forward Optimization: Backtesting is good; backtesting over multiple periods to reduce overfitting is even better.
• Robustness Tests: While backtests and walk-forwards show historical performance, robustness tests determine the reliability of these results.

Includes 3 Templates!

• Templates for walk-forward optimization, Monte Carlo simulations, and robustness testing to quickly evaluate any strategy.

Section 3: Metatrader 5 Live TradingE-Learning (Videos)

• Import Data from Metatrader 5: Use a reliable data provider broker and extract data directly using Python’ and Metatrader 5 to avoid false results.
• Personal MT5 Library: Develop custom functions based on the official MT5 library to assist in live trading.
• Live Trading: Backtesting and strategy building are essentia’l, but the ultimate goal is live trading with our trading bots.

Includes 7 Templates!

• One live trading template for each strategy covered in the application section.

Section 4: 7 Trading Strategies IncludedE-Learning (Videos)

• Technical Indicators Based Strategies: Learn from real-life examples with 3 technical indicator-based trading strategies to create your own.
• Machine Learning Based Strategies: AI is becoming crucial in trading’. This course includes 3 detailed machine learning model-based strategies.

Includes 6 Templates!

• One for each strategy, allowing you to test them on any asset.

FAQ

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FAQ 1 Q: Is the Alpha Quant Program by Lucas Inglese suitable for beginners with no coding experience?

A: Yes. The Alpha Quant Program is designed for traders at all levels. Lucas Inglese addresses the most common concern directly — almost all traders begin by thinking they can’t code or design a system. The program provides step-by-step tutorials with ready-to-use templates so you can start building trading strategies without advanced programming knowledge.

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FAQ 2 Q: How long does it take to build a working trading bot with the Alpha Quant Program?

A: The program is structured to give you the skills to build and launch profitable trading bots in just one month. The curriculum takes you from importing market data all the way through to live trading execution, step by step.

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FAQ 3 Q: What makes Lucas Inglese’s Alpha Quant Program different from other algorithmic trading courses?

A: The program includes a private community where you connect with top-tier quant traders, plus 7-day direct support from Lucas himself — a professional quant — with replies guaranteed within 24 hours, which students rate as the most appreciated feature. Most courses don’t offer that level of personal access.

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FAQ 4 Q: What trading platforms and tools does the Alpha Quant Program cover?

A: The program guides you through importing market data, creating trading strategies, backtesting on historical data, and launching live trades through MetaTrader 5. It covers both technical indicators and machine learning — no advanced coding skills required.