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Create time series and cross sectional momentum strategies on stock, stock indices, fixed income, and commodities futures. Learn to quantitatively analyze time series, portfolio returns and risks, and design and backtest momentum trading systems.n
SKILLS COVERED
Finance and Math Skills
- Contango and Backwardation
- Hurst Exponent
- P-value
- Sharpe, Returns Drawdowns
Strategies
- Time Series
- Cross Sectional
- Roll Returns
- Event Driven
- Crossover
Python
- Pandas, Numpy
- Matplotlib, Heatmap
- Pearsonr
- Datetime
- Conditional Flow Statement
COURSE FEATURES
- Lifetime Access to the course
- Community support
- Downloadable codes
- Hands-on guided learning
- Get Certified
EARNING TRACK
Automated Trading using Python & Interactive Brokers
FOUNDATIONn
- Python For Trading!
BEGINNERn
- Day Trading Strategies for Beginners
- Quantitative Trading Strategies and Models
INTERMEDIATEn
- Trading Strategies with News and Tweets
- Trading with Machine Learning: Classification and SVM
- Automated Trading with IBridgePy using Interactive Brokers Platform
ADVANCEDn
- Momentum Trading Strategies
AFTER THIS COURSE YOU’LL BE ABLE TO
List and explain the fundamental reasons behind the significant and persistent returns from momentum trading strategies
Create and backtest time series and cross sectional momentum strategies on stock, stock indices, fixed income, and commodities futures
Optimise look back and holding period
Analyse portfolio returns and risk using different performance measures
Identify the nature of time series using Hurst exponent
Explain the basic concepts in futures markets such as contango, backwardation, term structure and roll returns
Apply crossover and breakout models to volatility decile portfolion
SYLLABUS
- Introduction to the Course
- What is Momentum?
- Why Does Momentum Exist?
- Introduction to Python
- Technical Indicator
- Technical Indicator Strategy
- Types of Momentum
- Time Series Momentum
- Hurst Exponent
- Correlation Analysis
- Cross Sectional Momentum
- Fundamental Momentum
- Ranking Factors for Cross Sectional Portfolio
- Event Driven Strategy
- Treasury Markets
- Momentum in Futures
- Cross Sectional Momentum Strategy in Future
- Momentum Crashes
- Risk Management
- Automate Trading Strategies
- Python Installation
- Course Summary
INSTITUTIONAL RISK DISCLOSURE: Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.
Secrets of Millionaire Investors - Adam Khoo



