ONLEARN COURSE
Python for Algorithmic Trading: From Backtesting to Live Execution
Leverage Python's power for data-driven financial strategies. Build, test, and deploy automated trading bots with confidence and precision.
AdvancedEnglish2 sections3.5 hours482 students
What you’ll be able to do
- Design and implement advanced quantitative trading strategies in Python.
- Perform rigorous backtesting and optimize strategies using historical data.
- Integrate Python algorithms with brokerage APIs for live trading.
- Manage real-time market data streams and execute trades programmatically.
- Implement robust risk management and position sizing techniques.
- Develop monitoring and alert systems for live trading operations.
Inside this course
2 sections · 9 activities · 3.5 hours total length
01Module 1: Advanced Backtesting and Strategy Optimization
- Lecture 1.1: Foundations of Robust Backtesting15:00
- Lecture 1.2: Vectorized vs. Event-Driven Backtesting20:00
- Lecture 1.3: Performance Metrics and Statistical Significance18:00
- Lecture 1.4: Walk-Forward Optimization and Parameter Tuning25:00
02Module 2: Live Trading Infrastructure and Execution
- Lecture 2.1: Connecting to Brokerage APIs20:00
- Lecture 2.2: Real-Time Data Handling and Processing22:00
- Lecture 2.3: Order Management and Execution Logic25:00
- Lecture 2.4: Risk Management and Position Sizing in Live Trading20:00
- Lecture 2.5: Building a Basic Live Trading Bot28:00
About this course
Master the art of algorithmic trading with Python. This advanced course takes you from robust backtesting strategies to deploying and managing live trading bots.
Who this is for
- Python developers interested in quantitative finance and algorithmic trading.
- Quantitative analysts looking to automate trading strategies.
- Financial professionals seeking to build their own trading systems.
- Anyone aiming to transition from manual trading to automated execution.
Before you begin
- Solid understanding of Python programming (intermediate level).
- Familiarity with financial markets and basic trading concepts.
- Basic knowledge of data analysis libraries like Pandas and NumPy.
- Access to a computer with an internet connection.
LEARNING EXPERIENCES
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A few useful details
How will I learn?
Work through the course sections and activities in your Onlearn course player, at your own pace. Your progress is saved to your account.
Is this a subscription?
No. Each course is purchased separately with one payment.