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Everything you need to build profitable trading strategies and portfolios, even if you’ve never traded algorithmically before.
Robuxio – Algorithmic Crypto Course
Before vs. After the Robuxio Course
Before the Robuxio Course
- You rely on gut feel or loosely defined setups and every trade feels discretionary.
- Drawdowns shake your confidence because there’s no statistical baseline.
- Market moves feel random and you lack trust in your entries and exits.
- Wins are hard to replicate. Losses leave no clear diagnosis. Leaving you lost and confused.
- You spend hours analysing markets and are constantly glued to charts, without any increase in conviction.
- You overfit with too many indicators, yet trust none of them.
- You lack a scalable framework that you can trust with real capital.
After the Robuxio Course
- You operate a systematic process with defined rules and position sizing.
- Each trade is part of a strategy that is built on a robust idea-first logic.
- You understand your edge, your risk, and your drawdown profile.
- You make data-driven decisions and trust your execution, with no guesswork.
- You know exactly when to enter and exit, with a clear understanding of what logic your strategies were built upon.
- Your entire trading process is automated with zero discretionary decision-making
- You have a clear, validated plan with strategies you built yourself.
What You Will Master
1. Algorithmic Trading Edge Fundamentals
- Start matching strategies to the behavior of the assets.
- Focus on high-probability, data-driven approaches.
2. Foundational Strategy Types
- Learn Breakout, Trend Following, Mean Reversion.
- Develop idea-first strategies with clear logic and edge.
3. Code and Data Analysis
- Get clean futures data of the entire crypto market.
- Get code templates with comprehensive explanations of each line.
- No programming knowledge required to implement and use.
4. Strategy Design & Execution
- Get access to 8 pre-built strategies.
- Learn to develop and refine additional strategies.
- Learn advanced exit techniques informed by data-driven insights.
5. Robust Portfolio Development
- Construct scalable multi-strategy portfolios.
- Learn the link between uncorrelated strategies and portfolio design.
6. Trading Automation
- Get exclusive access to Robuxio Lite portfolio for 1 year.
- Trade it automatically with our trading engine.
- Choose between 3 different volatility levels.
Algorithmic Crypto Trading
Course Outline
Lesson 01: Introduction to Algorithmic Trading
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
- Code: Bitcoin Benchmark Strategy
Lesson 02: Backtesting Platform
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
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
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
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
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
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
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
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
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.
Strategies You Will Build
The strategies are built with conservative settings to provide a stable foundation. In the course, you’ll learn not only how to adapt these strategies to match your risk tolerance but also how to build and customize your own strategies for long-term success.
BTC Strategies
Strategies focused on Bitcoin, used in the course to explain the fundamental principles of each approach.
2024 Return:
Mean Reversion: 42.14%
Breakout: 72.9%
Trend Following: +81.5%
CAGR:
Mean Reversion: 31%
Breakout: 37.65%
Trend Following: +77.67%
Crypto Breakout Strategy
Crypto Breakout Strategy
2024 Return: 45%
CAGR: 52.85%
Crypto Mean Reversion Strategy
An aggressive mean reversion strategy designed to buy corrections in the most trending coins of our trading universe.
2024 Return: 45.4%
CAGR: 52.85%
Crypto Trend Following Strategy
A strategy that buys strong breakouts in our universe, riding trends to completion while cutting losses early.
2024 Return: 63%
CAGR: 74.58%
RSI Mean Reversion
Classical use of RSI but together with momentum.
2024 Return: 10.7%
CAGR: 21.49%
RSI Momentum
An innovative approach that uses RSI as a breakout indicator to identify breakouts.
2024 Return: 78.5%
CAGR: 60.42%
Portfolios You Will Design
The strategies are built with conservative settings to provide a stable foundation. In the course, you’ll learn not only how to adapt these strategies to match your risk tolerance but also how to build and customize your own strategies for long-term success.
Robuxio Lite Portfolio
A 3-strategy portfolio offering simplicity and stability, making it an excellent choice for new traders.
2024 Return: 55.4%
CAGR: 62.18%
5-Strategy Portfolio
A 5-strategy portfolio with differing strategy types as well as entry and exit logics.
2024 Return: 57.2%
CAGR: 59.5%
Exclusive Access To Robuxio Lite Automation
Every enrolment includes 12-month access to the automated version of our Robuxio Lite Portfolio, which is executed by the same trading engine that runs our institutional mandates. Simply plug in your API keys and trade up to $10,000.
Robuxio Lite Portfolio Automation
You will be able to select between 2 different volatility levels to match your risk appetite.
Lite High Vol
2024 Return: 91.5%
CAGR: 107.1%
Lite Low Vol
2024 Return: 56.7%
CAGR: 63.5%
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.
Start Mastering Algorithmic Crypto Trading Today
Course Features
- Lecture 0
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 88
- Assessments Yes