Udemy – Algorithmic Trading with Machine Learning in Python
Delve into the fascinating world of algorithmic trading and machine learning with the “Algorithmic Trading with Machine Learning in Python” course on Udemy. Led by expert instructors, this comprehensive program offers you the opportunity to explore the intersection of finance, technology, and data science, empowering you to develop advanced trading strategies and harness the power of machine learning to gain a competitive edge in the financial markets.
Key features of this course include:
- Comprehensive Curriculum: Gain a deep understanding of machine learning concepts and techniques as they apply to algorithmic trading. Explore topics such as regression, classification, clustering, time series analysis, and more, all within the context of financial markets.
- Hands-On Learning: Put theory into practice with hands-on exercises and projects designed to reinforce your understanding of key concepts and build practical skills. Work with real-world financial data, develop machine learning models, and implement trading strategies using Python programming.
- Python Programming Skills: Master Python programming fundamentals and learn how to leverage popular libraries such as NumPy, Pandas, Matplotlib, and scikit-learn for data analysis, visualization, and machine learning tasks. Build a solid foundation in Python that you can apply to various domains beyond algorithmic trading.
- Trading Strategies Development: Learn how to design, backtest, and optimize trading strategies using machine learning models. Discover techniques for feature engineering, model evaluation, and portfolio optimization, and gain insights into the nuances of algorithmic trading strategies.
- Risk Management and Performance Evaluation: Explore the importance of risk management in algorithmic trading and learn how to assess the performance of your trading strategies using metrics such as Sharpe ratio, maximum drawdown, and more. Develop a comprehensive understanding of risk-adjusted returns and how to optimize your trading performance.
- Real-World Applications: Apply your newly acquired skills to real-world trading scenarios across various asset classes, including stocks, futures, options, and cryptocurrencies. Learn how to access financial data from different sources, analyze market trends, and implement trading algorithms in live market environments.
Whether you’re a seasoned trader looking to enhance your skills or a newcomer to the world of algorithmic trading and machine learning, this course offers you a valuable opportunity to expand your knowledge and advance your career. Join thousands of learners worldwide and embark on your journey to mastering algorithmic trading with Udemy as your learning platform.
What you’ll learn
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Algorithmic trading
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Python
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Machine learning
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Programming
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Finance
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Trading
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Keras
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Natural Language Processing
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Machine Learning
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TensorFlow
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Twitter API
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Sentiment Analysis
Requirements
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Quantitative Background is a plus.
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Experience with Python is a plus.
Description
Hi there, we are James and Sajid. Both of us are working as data scientists for various banks here in London, and we have both gone a long way before arriving at our current position in the market.
Do you wish to become a datascientist and build yourself a strongportfolio? This course will allow you to develop your Python skills tutoredbyprofessionals. You will be able to add NaturalLanguageProcessing and DeepLearning to your CV and start getting paid for your skills.
In this course, you will learn how to apply the newest methods in machine learning and natural language processing to predictive analysis of the stockmarket and cryptocurrency.
Use the latest technologies available such as TensorFlow, PlotLy, HuggingFace’sTransformers, Flair, spaCy, and many of the essential classics like Pandas, RegEx, Numpy, and more!
We will cover:
– TensorFlow
– Sentiment Analysis
– Transformers (including Google AI’s BERT)
– APIs (including Twitter and Reddit)
– Trading for cryptocurrencies
– Named Entity Recognition (NER)
Take this course if you are learning Python and/or Machine Learning and looking to apply these skills to the stock market. We can’t promise to ‘fix’ on the stock market, but we can promise that you will learn many priceless skills that when applied correctly, can translate to a real benefit both in the job market, and the stock market.
The course is taught by two data scientists from the finance sector. Sajid of Trading 707, who works in Banking and Capital Markets. And James of Aurelio, who specializes in Natural Language Processing (NLP).
Who this course is for:
- Beginner Python developer
- Data scientist
- Finance and Computer Science student
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