Crypto Trading Strategies: Advanced
₹4050/-₹16199/-
75% OFF
- Live Trading
- Learning Track
- Prerequisites
- Syllabus
- About author
- Testimonials
- Faqs
Learn Crypto Strategies
- Create a long-only momentum strategy
- Backtest Pairs trading on cryptocurrencies
- Create a K-means clustering trading strategy
- Optimize the entry points using Hurst Exponent
- Define quantitative trading strategy framework
- Implement strategies in the live markets and analyze the performance

Skills Covered
learning track 6
This course is a part of the Learning Track: Algorithmic Trading in Cryptocurrency and Forex
Course Fees
Full Learning Track
These courses are specially curated to help you with end-to-end learning of the subject.
Course Features
- Community
Faculty Support on Community
- Interactive Coding Exercises
Interactive Coding Practice
- Trade & Learn Together
Trade and Learn Together
- Get Certified
Get Certified
Prerequisites
You should be aware of basic terminology linked with trading in cryptocurrencies such as crypto quote, crypto wallets, crypto tickers. These skills are covered in the course 'Cryptocurrency Trading Strategies: Intermediate'. You need not be a Python programming expert to learn the concepts and logic behind the strategies. But if you want to be able to code and implement the strategies in Python, experience in working with Dataframes is required. These skills are covered in the course 'Python for Trading'.
Advanced Crypto Trading Course
- Machine Learning in Cryptocurrency TradingThis section explains the working and implementation of an unsupervised machine learning algorithm called K-Means and how it can be used in cryptocurrency trading to capture market trends.Introduction to the CourseQuantra Features and GuidanceUnderstanding K-Means AlgorithmUnsupervised LearningLocating the Cluster CenterApplying K-Means in PythonK-Means: IndicatorsHow to Use Jupyter Notebook?Clustering Strategy for CryptocurrenciesFrequently Asked QuestionsCryptocurrency: Strategy Signal
Code the K-Means Strategy
- Pairs Trading Strategy
- Code the Pairs Trading Strategy
- Hurst Exponent
- Code the Hurst Strategy
- Quant Strategy Framework
- Code the Long-Only Momentum Strategy
- Run Codes Locally on Your Machine
- Live Trading on IBridgePy
- Paper and Live Trading
- Downloadable Resources
Why quantra®?
- More in Less Time
Gain more in less time
- Expert Faculty
Get taught by practitioners
- Self-paced
Learn at your own pace
- Data & Strategy Models
Get data & strategy models to practice on your own
Faqs
- When will I have access to the course content, including videos and strategies?
You will gain access to the entire course content including videos and strategies, as soon as you complete the payment and successfully enroll in the course.
- Will I get a certificate at the completion of the course?
- Are there any webinars, live or classroom sessions available in the course?
- Is there any support available after I purchase the course?
- What are the system requirements to do this course?
- What is the admission criteria?
- Is there a refund available?
- Is the course downloadable?
- Can the python strategies provided in the course be immediately used for trading?
- I want to develop my own algorithmic trading strategy. Can I use a Quantra course notebook for the same?
- If I plug in the Quantra code to my trading system, am I sure to make money?
- What does "lifetime access" mean?