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AlgoTrading101 Courses Overview
AT101: Algorithmic Trading Immersive Course
The AT101 program is where students start their journey. It teaches everything from programming basics to building functional trading robots. Learners gain a solid foundation in MQL4, the coding language for trading platforms, while gradually working on real trading robots such as Adeline, Belinda, Clarissa, and Desiree.
Key Learning Highlights
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Programming for Trading: Learn variables, loops, functions, arrays, and debugging to code robust trading algorithms.
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Robot Development: Step-by-step creation of trading robots that utilize volatility measures, position sizing, and time-based entries.
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Data Handling: Understand data cleanliness, backtesting accuracy, and advanced data cleaning methods to ensure robust results.
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Strategy Design: Explore bet sizing algorithms, statistical robustness, idea generation, and optimization without curve fitting.
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Risk Management & Execution: Learn trade management, order execution, and stress testing under different market conditions.
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Real-World Application: Transition from paper trading to live execution, VPS setup, broker selection, and psychological resilience during drawdowns.
By the end of AT101, students not only know how to code but also how to build effective and robust trading robots that can handle real-world market conditions.
PT101: Practical Quantitative Trading with Python Masterclass
Once learners have mastered the foundations, they move on to PT101, which explores cutting-edge strategies in modern quantitative finance. Python is the primary tool here, opening the door to multi-asset and data-driven strategies.
Core Modules in PT101
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Python Basics: Enough Python programming knowledge to build and test trading strategies.
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Quantitative Strategies: From pair trading and cointegration to market making and statistical arbitrage.
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Alternative Data: Use non-price data such as credit card transactions, location data, and web scraping to forecast market behavior.
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Machine Learning & Sentiment Analysis: Apply natural language processing and sentiment analysis to evaluate news, search traffic, and social media data.
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Multi-Asset Strategies: Learn about Canadian bond STIR futures, correlation trading, and synthetic assets.
This course is constantly being updated with fresh strategies and modern tools, ensuring learners stay ahead in a fast-evolving market.
Why Choose AlgoTrading101?
There are countless algorithmic trading courses, but AlgoTrading101 stands out because it provides a structured, beginner-friendly yet professional-level roadmap. Instead of simply teaching coding or financial theory, it integrates hands-on robot building, real data testing, risk management frameworks, and advanced quant trading applications.
Students benefit from:
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Practical coding exercises in both MQL4 and Python.
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Step-by-step development of trading robots with increasing complexity.
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Exposure to hedge-fund level strategies like statistical arbitrage and machine learning.
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Lifetime value: The skills acquired can be applied across Forex, stocks, crypto, futures, and more.
Who Should Enroll?
The AlgoTrading101 Courses are ideal for:
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Aspiring algorithmic traders with no prior coding experience.
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Forex and stock traders wanting to automate strategies.
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Data enthusiasts looking to apply Python in trading.
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Investors seeking to understand quant-based methods for consistent returns.
Conclusion
The AlgoTrading101 Courses—featuring AT101 and PT101—provide a full-spectrum learning experience for anyone serious about algorithmic trading. From mastering the basics of robot building to exploring advanced Python-driven quant strategies, this program equips learners with the tools to compete in today’s markets.
If you’re ready to take the leap into algo trading and quantitative finance, AlgoTrading101 is your ultimate starting point.
