دورة من ONLEARN
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.
متقدمEnglish2 قسمان3.5 ساعة482 متعلّماً
ما ستتمكّن من فعله
- 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.
داخل هذه الدورة
2 قسمان · 9 أنشطة · 3.5 ساعة إجمالاً
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
عن هذه الدورة
Master the art of algorithmic trading with Python. This advanced course takes you from robust backtesting strategies to deploying and managing live trading bots.
لمن هذه الدورة
- 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.
قبل أن تبدأ
- 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.
تجارب التعلّم
394 تقييماًتقييمات المتعلّمين
4.5 / 5 · متوسط تقييم المتعلّمين
تفاصيل مفيدة
كيف سأتعلّم؟
تابع أقسام الدورة وأنشطتها في مشغّل الدورات على Onlearn بالوتيرة التي تناسبك. يُحفظ تقدّمك في حسابك.
هل هذا اشتراك؟
لا. تُشترى كل دورة بشكل منفرد بدفعة واحدة.