Trading a single robot is never a long-term solution. Learn how professional algorithmic traders build diversified portfolios of Expert Advisors — spreading risk across strategies, assets, and accounts.
Even the best Expert Advisors stop performing when market conditions shift. Trends reverse. Volatility changes. Broker execution fluctuates. A trading system built around one robot has no buffer against any of these realities. Professional algorithmic traders do not rely on finding the one "perfect" EA. Instead, they build structured portfolios of Expert Advisors - combining multiple trading strategies across different instruments, timeframes, and brokers to reduce overall risk and smooth performance over time. This course shows you exactly how to think about, build, and manage that kind of portfolio - based on over a decade of real experience trading live and funded accounts.
Enroll Now and Start Building
By the end of this course, you will have a clear framework for building and managing a professional EA portfolio — with practical knowledge you can apply immediately.
Understand why trading a portfolio of Expert Advisors is safer than relying on a single robot
Build a diversified EA portfolio modeled after professional algo traders
Combine different strategy types — scalping, grid, recovery, and trend-following
Diversify across multiple assets to reduce exposure to any single market
Distribute trading across more than one broker to reduce operational risk
Allocate capital correctly using proven money management rules
Define your personal risk tolerance and set maximum drawdown limits per account
Decide when to withdraw profits and how to treat trading as income-generating activity
Select reliable Expert Advisors based on verified performance and real track records
Start with a small number of robots and scale your portfolio step by step
Run stable portfolio trading on a VPS with minimal manual intervention
Track and analyze portfolio performance professionally with FXBlue and MyFXBook
This course assumes basic familiarity with MetaTrader and Expert Advisors. No programming or coding skills are required at any point.
Perfect for those with basic EA knowledge looking to level up
A natural next step after mastering the fundamentals
Move beyond single-robot trading to a structured portfolio approach
Particularly relevant for funded account and prop firm traders
For those committed to sustainable, professional algo trading
A clear, practical learning path \— from foundational portfolio logic through to real-world management and scaling.
Why portfolio trading is essential for long-term algorithmic trading success. You will learn how professional algo traders think differently about risk — and why gluing multiple trading strategies together into a structured portfolio changes everything.
A full walkthrough of a real example portfolio — including the logic behind trading multiple EAs, how diversification across strategies, assets, and brokers works in practice, and what a professional trading portfolio actually looks like on a live account.
Starting capital rules, risk tolerance frameworks, drawdown control, profit withdrawal strategies, and realistic expectations. This section covers how to protect your trading capital while giving your portfolio the space to generate returns.
How to evaluate and select Expert Advisors based on real performance data. You will see tiers of robots, real examples of what qualifies an EA for a live portfolio, and how to begin with a small number of accounts before scaling further.
VPS setup for uninterrupted automated trading, connecting FXBlue and MyFXBook for professional tracking, and how to read and act on real track record data to make data-driven portfolio decisions over time.
Portfolio trading is an ongoing process — not a setup-and-forget system. The conclusion covers how to continue building safely, when to add new robots, how to retire underperforming EAs, and how to grow your trading portfolio as an algorithmic trader over the long term.
Relying on a single Expert Advisor is one of the biggest mistakes traders make. Markets change, forex strategies stop working, and even carefully selected robots can fail when conditions shift. Professional algorithmic traders solve this by building diversified portfolios of trading robots — and this master class shows you exactly how to do that. You will learn how to combine multiple trading robots into a structured, risk-controlled portfolio — the same way professional algo traders operate.
Learn the data-driven logic behind portfolio diversification
Real workflows from live and funded account management
Spread risk across multiple dimensions for greater stability
Use verified track records, not marketing claims
Set clear limits per account and per robot
Size positions and accounts correctly for your situation
Treat algo trading as a sustainable income-generating activity
Professional tools for data-driven portfolio decisions
Ensure uninterrupted automated trading 24/5
Grow gradually as confidence and capital increase
Before choosing a single Expert Advisor, professional algo traders define their money management rules. Without a clear framework for capital allocation, drawdown limits, and profit withdrawal, even a well-diversified portfolio will fail during adverse periods. This course dedicates an entire section to the financial side of portfolio trading \— covering exactly how much to allocate per account, when to scale up, and how to treat your trading activity as a sustainable income-generating system rather than a speculation exercise.
What you need before enrolling in this course.
Basic knowledge of MetaTrader and how Expert Advisors function
No programming or MQL5 coding skills required
A computer — Windows recommended — and a reliable internet connection
A long-term mindset and a genuine respect for risk management principles
Before building a full EA portfolio, you need solid foundations. The free Algo Trading for Beginners course covers MetaTrader setup, running your first Expert Advisor, and backtesting strategies - step by step, with no coding required. Taught by Petko Aleksandrov.
Access Free Course
No programming or coding knowledge is required at any stage. This course focuses entirely on the strategic and operational side of portfolio trading — selecting Expert Advisors, allocating capital, managing risk, and tracking performance. You will not write a single line of MQL5 code. A basic familiarity with MetaTrader and how Expert Advisors function is all you need before enrolling.
The Algo Trading Start-Up course covers the fundamentals — understanding Expert Advisors, running them on a trading platform, and getting comfortable with automated trading basics. This course picks up where that one leaves off. The focus here is portfolio construction: combining multiple EAs, diversifying across assets and brokers, managing capital properly, and building a trading system that can sustain performance over the long term. Students who completed the Start-Up course will find this a natural and necessary next step.
You do not need dozens of robots to begin. The course covers a gradual approach — starting with a small number of accounts and EAs, then scaling step by step as confidence and capital grow. The emphasis is on quality and diversification, not quantity. A portfolio of three to five carefully selected Expert Advisors trading different forex strategies across different assets can already offer meaningful risk reduction compared to running a single robot.
Yes. The money management principles, drawdown control frameworks, and EA selection criteria covered in this course apply directly to funded account trading. Many of the real examples are drawn from live and funded accounts managed by Petko and the Algo Trading Space team. Defining maximum drawdown per account and allocating capital across multiple robots is particularly relevant for traders operating under prop firm risk rules.
MetaTrader is the primary trading platform, with Expert Advisors deployed across one or more broker accounts. For portfolio tracking and performance analysis, you will learn to use FXBlue and MyFXBook — the two most widely used tools among professional algorithmic traders. VPS setup is also covered to ensure robots run continuously without depending on your local machine. No paid strategy builder or generator software is required to complete the course.
EA selection is one of the core topics of the course. You will learn what real performance data looks like, how to read track records on FXBlue and MyFXBook, and what distinguishes a reliable robot from one that has been curve-fitted or over-optimised. The course introduces a tiered approach to classifying trading robots and explains how Algo Trading Space evaluates EAs before adding them to live portfolios. Every decision is grounded in verified, data-driven criteria rather than marketing claims.
The course covers starting capital rules in detail within the money management section. The right amount depends on several factors — the number of accounts you plan to run, the EAs you select, and your personal risk tolerance. Rather than prescribing a fixed figure, the course gives you the framework to calculate the appropriate starting capital for your situation, including how to set drawdown limits and when to add more capital or withdraw profits.
The Build a Portfolio of Expert Advisors course is available through the Algo Trading Space Academy platform and on Udemy as the Trading Robots Master Class. Pricing details are on the enrollment page. Algo Trading Space also offers a free algo program for traders exploring the fundamentals before committing to a full course. If you are unsure which course matches your current level, that free program is a good place to start.
This course is not about finding the perfect forex robot. It is about building a robust, diversified trading system that survives changing market conditions — and grows with you over time.
