AT101 – Fundamentals of Algorithmic Trading

AT101 – Fundamentals of Algorithmic Trading

AT101 – Fundamentals of Algorithmic Trading is a 300-lecture mega course designed to transform complete beginners into skilled algorithmic traders by focusing on how to design, test and code long-term trading robots. Instead of chasing signals or “get rich quick” schemes, this course shows you how trading robots really work and how to approach algorithmic trading as a professional, rules-based activity.

The program explains what a Trading Robot is – a set of programming codes that analyses and trades the market on its own – and how you can build these systems so they run with minimal human intervention. Throughout the course you are guided from the very basics of coding and market concepts to more advanced topics like data quality, position sizing, optimisation and running a full portfolio of robots.

AT101 – Fundamentals of Algorithmic Trading is structured so that you understand not only how to program a robot, but also the design theories behind robust strategies, the common pitfalls to avoid and the key success factors that experienced robot builders use in real markets.

What is the AT101 – Fundamentals of Algorithmic Trading course about?

AT101 – Fundamentals of Algorithmic Trading is a comprehensive, beginner-friendly course focused on the practical foundations of algorithmic trading. The core of the program is the design, testing and coding of trading robots that can trade the markets automatically according to predefined rules and logic.

The course starts by explaining the role of Trading Robots, their key traits and how they interact with market data and trading platforms. You then move into structured modules that introduce programming basics, simple robots, and the principles of effective and logical system design. As you progress, you learn to connect ideas, code and statistics so you can evaluate whether a robot is robust or fragile before you risk real capital.

Rather than promising overnight success, the course is built around years of industry experience, showing you where most new algorithmic traders go wrong and how to avoid those mistakes by working with clean data, realistic expectations and disciplined processes.

What will you learn in AT101 – Fundamentals of Algorithmic Trading?

By working through AT101 – Fundamentals of Algorithmic Trading, you will learn to:

• Understand what a Trading Robot is and how professional algorithmic traders think about automation, rules and market behaviour.
• Grasp programming basics such as variables, conditionals, loops, functions and arrays so you can read and write robot code with confidence.
• Build your first robots step by step, starting with simple systems like “Adeline” and progressively moving to more advanced robots that use volatility and other market features.
• Apply “uncommon common sense” to design robots that are logically consistent, realistic and aligned with how markets actually trade.
• Work with market data, understand why “garbage in, garbage out” matters, and apply both basic and advanced data cleaning techniques.
• Use statistics to validate your robots, including backtesting, performance evaluation and robustness checks.
• Design position sizing and money management rules so that your robots handle risk in a structured way instead of betting randomly.
• Optimise robots responsibly, improving them without falling into curve fitting or unrealistic parameter hunting.
• Scale from single-robot thinking to running a portfolio of robots across different markets and strategies.

Who is this course for?

AT101 – Fundamentals of Algorithmic Trading is built for beginners and early-stage traders who want a serious introduction to algorithmic trading. If you are curious about Trading Robots, but you feel overwhelmed by code, statistics or platform complexity, this course gives you a clear, step-by-step roadmap.

It is suitable for retail traders, investors, and technically minded learners who are willing to put in time to learn both the logic and the programming side of algorithmic trading. The course is also relevant for discretionary traders who want to systematise their ideas and for aspiring quants who want a practical, implementation-focused starting point before moving into more advanced quantitative study.

How does AT101 – Fundamentals of Algorithmic Trading work?

AT101 – Fundamentals of Algorithmic Trading is delivered as a large, structured online program of roughly 300 lectures, organised into sections such as programming basics, robot design, statistics, optimisation and portfolio building.

You start with introductory chapters like “Here’s What You Are In For!” and “Programming Basics 1: Variables and Conditional,” then quickly move into coding your first robot, Adeline. From there, each section builds on the previous one: you add loops, functions, time-based logic and arrays; you explore volatility with robots like Belinda; you learn how to handle orders, positions and trade management with robots such as Clarissa and Desiree.

The later chapters go deeper into advanced data cleaning, Monte Carlo analysis, understanding market behaviour, advanced optimisation, relative value strategies and running multiple robots as a portfolio. The course is self-paced, so you can pause, rewind and revisit any lecture, treating AT101 – Fundamentals of Algorithmic Trading as both a guided training path and a long-term reference library.

Key benefits of AT101 – Fundamentals of Algorithmic Trading

When you apply the concepts from AT101 – Fundamentals of Algorithmic Trading, you can gain several important benefits:

• A clear picture of how algorithmic trading really works, from idea generation through to live execution and monitoring.
• Hands-on experience coding multiple trading robots, so you move from theory to actual implementations you can test.
• Better understanding of data quality, statistics and robustness, helping you avoid overfitted systems that fail in real markets.
• Structured risk and money management rules that support long-term survival instead of short-term gambling.
• A practical framework for improving robots over time by manipulating entries, exits, time and order logic in a disciplined way.
• The ability to think in terms of portfolios of robots, not just individual strategies, which is essential for more professional-level algorithmic trading.

Prerequisites

There are no strict formal prerequisites to start AT101 – Fundamentals of Algorithmic Trading, but you will be more comfortable if you have basic computer skills and an interest in both trading and programming. The course is designed to guide complete beginners through the essentials of coding and market concepts, so prior professional experience is not required.

A general familiarity with trading platforms, charts and common market terminology can help you progress faster, but the structure of AT101 – Fundamentals of Algorithmic Trading is intended to help you build these foundations as you go. What matters most is your willingness to learn systematically and to practise coding and testing ideas with patience.

About the AlgoTrading101 course creator

AT101 – Fundamentals of Algorithmic Trading is part of the AlgoTrading101 ecosystem, created to give retail traders an accessible yet serious path into systematic trading. The course is known for its practical focus on MQL4-based robots, Forex markets and real-world trading conditions, reflecting years of experience building and running automated strategies.

Across the AlgoTrading101 brand, the emphasis is on honesty, realistic expectations and a strong educational foundation. AT101 – Fundamentals of Algorithmic Trading reflects this philosophy by openly rejecting exaggerated profit claims and focusing instead on skills: generating trading ideas, coding them quickly, testing them thoroughly and refining them responsibly before going live.

Why buy from our online course platform?

Choosing our online course platform to access AT101 – Fundamentals of Algorithmic Trading lets you keep this 300-lecture mega course in the same account as your other trading and investing trainings. You can return to the sections on programming basics, robot examples, statistics, optimisation or portfolio design whenever you design a new idea or review existing robots.

Centralize your digital purchases in a single account, keep your history, and access them whenever you want to watch online or download. Plus, you’ll always find courses on our platform at affordable prices.

By having AT101 – Fundamentals of Algorithmic Trading in your library, you make it easier to treat algorithmic trading as an ongoing craft: you can revisit modules, refine your skills and keep learning as markets evolve.

Course content

The curriculum of AT101 – Fundamentals of Algorithmic Trading is organised into sections that gradually expand your skills from basic concepts to portfolio-level thinking. Representative sections include:

• Here’s What You Are In For!
• Programming Basics 1: Variables and Conditional
• Robot 1: Adeline – Our First Robot!
• Uncommon Common Sense – designing effective and logical robots
• Garbage In, Garbage Out – understanding data and data quality
• Programming Basics 2: Loops
• Robot 2: Belinda – utilising volatility
• Position sizing and money management, including upgrades like Belinda 2.0
• Idea generation and expectation setting for new robots
• Programming Basics 3 and 4 – functions, time, arrays and indicators
• Relevant Statistics 101 and validating your robot with backtesting
• Robot examples such as Clarissa, Desiree and Desiree 2.0 for trade and order management
• Optimisation without curve fitting and advanced position sizing methods
• Advanced data cleaning, Excel-based tools and Monte Carlo analysis
• Robots like Elizabeth, Faye, Grace, Haley, Iris, Judy, Kate and Lynda (Skynet) for more advanced strategies
• Running a portfolio of robots, monitoring live systems and evaluating commercial robots critically

Together, these sections give you a detailed, practical path for learning how to create, test, improve and manage algorithmic trading robots from the ground up.

If you want a complete, structured path to learn how to design and code robust trading robots from scratch, AT101 – Fundamentals of Algorithmic Trading gives you a long-term reference you can keep using every time you build your next idea or refine your trading systems—access the course now and start upgrading your algorithmic trading skills.

Downloadable Course Content