Robuxio – Algorithmic Crypto Course 2025
Pavel Kýček – Algorithmic Crypto Course 2025
Master Algorithmic
Trading in Weeks, Not Years
Everything you need to build profitable trading strategies and portfolios, even if you’ve never traded algorithmically before.
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 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.
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.
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 ofeach
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:
Thand 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 appe 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 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.
