By Pavel Kýček
Master Algorithmic Trading in Weeks, Not Years
Everything you need to build profitable trading strategies and portfolios even if you're a complete beginner.
60+ university students started their trading journey with this course!
Day 1
Understand market dynamics and trading approaches.
Day 3
Learn how to backtest strategies like a professional.
Day 7
Build your first automated strategy using proven methods.
Day 10
Start trading with a fully systematic portfolio.
Before vs. After the Robuxio Course
Before the Robuxio Course
- You abandon strategies at the first drawdown, overwhelmed by stress and uncertainty.
- Every big move in the market triggers FOMO. You enter late. You exit too early.
- When you lose, you blame the market for being “manipulated.”
- When you win, you don’t know why it happened—it feels random and doesn’t give you a repeatable plan for the future.
- You spend hours analyzing markets, yet every trade feels like a guess.
- You’re glued to the screen, chasing trades, but your results? Stress and losing money.
- You’re staring at 10 indicators, each telling a different story.
After the Robuxio Course
- You stick to the system because you understand exactly how it works.
- You fully understand why you are making money or not making money, giving you complete emotional peace.
- You take full accountability and ownership of your trading—no excuses.
- You don’t chase trades—you wait for your edge to play out, with a repeatable, systematic approach designed for long-term success.
- You know exactly when to enter and exit, and more importantly, why—backed by rigorous testing.
- You spend your time living life—placing trades once a day, or even fully automated.
- You have a clear, validated plan with strategies you built yourself.
What do you get
What’s in the Course
What’s in the Course
1. Build a Strong Foundation of Algorithmic Trading
- Start matching strategies to the behavior of the assets.
- Focus on high-probability, data-driven approaches.
2. Master Key Strategy Types
- Learn Breakout, Mean Reversion, and Trend Following.
- Develop idea-first strategies with clear logic.
3. Codes and Data
- Get quality data of the entire crypto futures market.
- Get ready-to-use code, complete with clear explanations.
- No programming knowledge required to implement and use.
4. Design and Execute Strategies
- Get access to 8 pre-built strategies as a foundation.
- Learn to create and refine additional strategies.
- Learn advanced exit techniques informed by logical insights.
5. Create Sustainable Portfolios
- Understand that true portfolio trading goes beyond diversification.
- Build balanced portfolios for consistent performance.
6. Trade Live, Fully Automated
- Access a ready-to-use automated solution—just log in.
- Trade confidently with no manual intervention.
“Stop wasting time and money hopping from system to system”
Stuck in the Beginner’s Cycle
Chasing Methods
“Maybe this one works...”
Starting Over
Another course, another “system,” and the cycle repeats.
Overanalyzing
“I need more indicators.”
Burnout
“I’m glued to the screen for nothing.”
Blaming the Market
“It’s manipulated!”
Robuxio Progress Path
Step
01
Understand trading as a business treat it systematically.
Step
02
Build simple, repeatable strategies that are rigorously tested.
Step
03
Focus on systematic trading—not short-term guessing.
Step
04
Stick to a clear plan, understanding why you win and lose.
Step
05
Free yourself from stress and screen time. Let the system do the work.
Stop moving in circles. Break free of the beginner’s cycle and make real, measurable progress with Robuxio’s systematic approach.
Algorithmic Crypto Trading
Course Outline
Lesson 01: Introduction to Algorithmic Trading
62 minutes
Description:
This lesson focuses on clarifying the basics of trading and building a strong foundation for understanding algorithmic trading. It is a live recording of my lecture at the University of Zlín, where I was shaping young minds for algorithmic success.
Topic:
- Trading = Capitalism on steroids
- Trading = The art of making mistakes/taking losses
- Trading vs Investing
- Discretionary vs Algorithmic Trading
- Basic Trading Approaches
- Research-Driven vs Data-Driven Trading
- Research-Driven Models
- Code: Bitcoin Trend Strategy
- Advantages (and Disadvantages) of Algorithmic Trading
- Efficient Market Theory
Lesson 02: Backtesting Platform
33 minutes
Description:
This lesson focuses on the main criteria for selecting a proper backtesting platform. We dive into the basics of Realtest—our backtester of choice—learning how to import data and create a benchmark strategy.
Topic:
- Factors to Consider When Choosing a Trading Platform
- Key Features for Algo Trading
- Commonly Used Platforms
- Why Realtest?
- Example of Realtest Language
- Realtest: Source of Information
- Testable Trading Approaches
- Research-Driven Models
- Testable Data
- Bitcoin Benchmark Strategy
Lesson 03: Market Selection
44 minutes
Description:
Every market behaves differently—one trends more, while another moves sideways. This lesson helps you understand the unique characteristics of each market and choose the right trading approach based on these behaviors.
Topic:
- Factors Influencing Market Selection
- Liquidity
- Volatility
- Immature to Mature Asset Cycle
- Edge Decay: Bitcoin vs S&P 500
- Leverage
- Market vs Approach: Stocks, Forex, Commodities, Crypto
- Inter-Market Volatility Comparisons
- Advantage of Retail Trader
Lesson 04: Trading Approaches
69 minutes
Description:
This lesson is dedicated to understanding the various trading approaches, their classifications, and how to implement them effectively
Topic:
- Basic Classification: Alpha and Beta
- What is Trading Edge?
- Types of Entry/Exit Orders
- Long-Term vs Short-Term Momentum
- Code: Bitcoin Trend Strategy
- Code: Bitcoin Breakout Strategy
- Code: Bitcoin Mean Reversion Strategy
- Comparison
Lesson 05: Strategy Building
47 minutes
Description:
This lesson focuses on trading biases and building momentum and mean reversion strategies on a broad basket of cryptocurrencies.
Topic:
- Dunning-Kruger Effect
- Trading Biases
- Idea-First Approach
- Sensitivity to Trading Conditions
- Sensitivity to Trading Costs
- Description of Breakout Strategy
- Code: Crypto Breakout Strategy
- Description of Mean Reversion Strategy
- Code: Mean Reversion Strategy
- Comparison
Lesson 06: Robustness Tests + Trend Following
62 minutes
Description:
In this lesson, we build a strategy based on long-term momentum and dive into robustness tests to ensure reliability for live trading.
Topic:
- Description of Trend Following Strategy
- Code: Trend Following Strategy
- Comparison: Mean Reversion, Momentum, Trend Following
- Robustness Tests: Foundation
- Optimisation in Strategy Building
- Risks of Optimisation
- IS/OOS Test
- Parameter-Sensitivity Analysis
- Stress Testing
- Inter-Asset Analysis
- Multi-Timeframe Analysis
- Trend Following: Parameter Sensitivity Test
Lesson 07: Exits
42 minutes
Description:
Exits can significantly change the characteristics of a strategy. This lesson focuses on how to approach exits in different trading strategies and the philosophy behind them.
Topic:
- Philosophy of Exit
- Exit and Its Purpose
- Stop Loss: The Good and the Bad
- Stop Loss and Intraday Volatility
- Solution for Stop Loss
- Profit Target
- Exit Ideas: Breakout, Trend Following, Mean Reversion
Lesson 08: Risk Management + RSI Strategies
54 minutes
Description:
A trader is, first and foremost, a risk manager. This lesson emphasizes protecting capital before multiplying it.
Topic:
- Definition of Risk Management
- Where is the Risk?
- Strategy Risk - Origination and Coverage
- Volatility as a Measure of Risk
- Drawdown as Risk Measure
- Drawdown as a Risk Management Tool
- When to Use Stop Loss?
- Martingale vs. Anti-Martingale Approach
- Code: RSI Momentum
- Code: RSI Mean Reversion
Lesson 09: Portfolio Trading
33 minutes
Description:
Portfolio trading of diversified strategies is the ultimate goal of algorithmic trading. This lesson explores techniques for building and managing robust portfolios.
Topic:
- Diversification
- Portfolio Trading vs Diversification
- Rebalancing
- Weights by Trading Approach
- Weights by Correlation
- Weights by Strategy Logic
- Weights by Risk Management
- Code: 3-Strategy Portfolio
Lesson 10: Trading Psychology
36 minutes
Description:
Trading psychology develops alongside the creation of sound strategies. This lesson highlights key psychological aspects critical for success.
Topic:
- Code: 5-Strategy Portfolio
- Difference Between Portfolios From a Trading Psychology Perspective
- Trading Psychology vs Trading Edge
- The Lake Wobegon Effect
- Trade Sample
- Losing Streak
- Risk Tolerance
- Next 1000 Trades
- Live Trading: Automated vs Semi-Automated Solution
Special Episode
Realtest Introduction by Marsten Parker
This special episode introduces participants to the logic behind Realtest, presented by Marsten Parker—creator of Realtest and a featured trader in Jack Schwager’s Unknown Market Wizards.
Marsten brings his 27+ years of trading experience to highlight the unique features of Realtest, designed to help traders build and test strategies efficiently.
The goal of this session is to understand the core functionality of Realtest and its logical foundation, empowering participants to create robust strategies and portfolios. Realtest is a no-nonsense tool, focused on delivering results rather than aesthetics, and Marsten shares insights on how he continues to innovate and enhance the software.
About
Hi, I’m Pavel, Algorithmic Trader and CEO of Robuxio!
About
Hi, I’m Pavel, Algorithmic Trader and CEO of Robuxio!
I have been trading for nearly 20 years, and at Robuxio, we trade crypto for institutional clients using fully automated algorithmic strategies with remarkable success.
But my journey wasn’t always smooth. In fact, the early years were filled with painful lessons.
The Painful Beginning
For the first 5+ years, I struggled and lost money consistently.
Why?
- I didn’t have a systematically tested and robust trading edge.
- I would discover an idea, trade it, and abandon it after a few losses.
- I had no confidence in my approach—because I didn’t truly understand what I was doing.
It took me a long time to realize that:
- 1. Each asset behaves differently.
- 2. There are only a few sound trading approaches, and each needs to be applied to the right type of asset.
The Turning Point.
I also subconsciously resisted algorithmic trading because I thought, “I’m not a programmer—I can’t do this.”
But when I finally embraced algorithmic trading, things changed.
It wasn’t easy—I learned everything the hard way, losing tens of thousands of dollars and wasting years with no progress.
Why I Created This Course.
I don’t want you to go through what I did.
This course was initially created for students at Bata University in Zlín, to teach them everything about algorithmic trading in just 10 lessons. No programming skills needed.
What You’ll Get in This Course.
- A fundamental understanding of the markets and trading approaches.
- 8 fully-coded strategies —easy to implement, no coding skills required.
- Many ideas on how to create and test additional strategies.
- 2 portfolios, including
- Access to a fully automated portfolio that you can trade live in just 10 minutes.
Master Algorithmic Crypto Trading, Build Your Freedom
Algorithmic Crypto Course
Learn to build strategies like a pro
€599
- Lifetime access to 10 comprehensive lessons
- 2 live recordings from Pavel Kycek's university lectures
- Step-by-step strategy building with all code templates provided
- Survivorship bias-free data of Binance Futures provided
- Free access to Robuxio Lite, trading the portfolio built in the course
- Learn to master the logic behind strategies to create hundreds of your own
- No coding experience required—Realtest’s intuitive scripting makes it accessible to all
Frequently Ask Questions
What do I get exactly?
You get 10 comprehensive lessons on algorithmic crypto trading, plus a bonus lesson featuring Marsten Parker—creator of Realtest and a trader featured in Unknown Market Wizards. The course includes live recordings, step-by-step strategy building, and full access to all strategy codes.
As a bonus, you’ll gain access to a free portfolio you can trade live using our professional infrastructure. While the portfolio is made for crypto, you’ll learn why crypto is the best place to be for small retail traders looking to build robust and profitable strategies.
Who is this course for?
This course is for traders of all levels—from beginners to experienced traders—who want to:
- Escape the beginner’s cycle of chasing short-term results
- Learn how to build their own trading strategies
- Gain a deep understanding of the markets for long-term success
Do I need coding experience?
No! This course uses a simple scripting language within Realtest that is both intuitive and accessible. We provide all the code templates, so you can focus on learning how to build and test strategies—not complex programming.
What makes this course unique?
Unlike typical trading courses, this one focuses on empowering you to:
- Develop your own trading strategies with an "idea-first" approach
- Understand the market logic and build strategies that work in the long run
- Avoid overcomplicating things, focusing instead on simplicity and mastery
The bonus lesson with Marsten Parker will show you how Realtest works under the hood, providing real-world tools to test and validate strategies professionally.
How do I download Realtest?
You can download Realtest and access a 30-day free trial directly from this link.
Where do I get the data for the course?
You can download the crypto dataset we will work with in Lesson 2—to be precise! 🙂
What strategies will I build?
Throughout the course, you’ll build 8 complete trading strategies, including:
- Trend Following
- Mean Reversion
- Breakout Strategies
- A portfolio of all the above strategies
These strategies will serve as templates to inspire and guide you to build your own models.
Can I trade the strategies live?
Yes! By the end of the course, you’ll have a 3-strategy portfolio that you can trade live for free using our professional infrastructure at robuxio.com/lite.
After the course, you’ll also be able to trade your own strategies systematically. While there won’t be an automated trading engine available for your strategies, you can always reach out to us to get your strategies implemented into our infrastructure.
What happens if I get stuck during the course?
No worries—our team is here to help! You can always reach out for support to ensure you stay on track.
Is there a refund policy?
We’re confident this course will transform your trading. However, if you’re unsatisfied, please contact us within 7 days of purchase, and we’ll assist you.
Can I use PayPal or crypto for payment?
We do not accept PayPal. However, we accept credit cards and crypto payments through our partner Confirmo, where you can use almost all the big coins and chains.
What will I achieve by the end of the course?
By the end of this course, you will:
- Gain a deep understanding of the markets
- Learn profitable trading approaches suited for retail traders
- Master the art of analyzing market characteristics
- Build and test strategies that capitalize on specific market behaviors
- Acquire the skills to create your own trading models, tailored to your goals
- Develop the mindset and discipline for long-term success
I have another question.
Feel free to contact our support team at support@robuxio.com anytime—we’re happy to help you!