I have recently published Betfair Trading Techniques, which I hope will be of interest to sports traders. The book is directed at a wide range of abilities and tastes. Beginners will be expected to know the basics of sports trading and betting. Intermediate traders and bettors can further improve their skills and I hope even experts will find something new to think about.
Synopsis
Betting exchanges are becoming ever more like financial markets. This has seen the rise of technical traders who find new and inventive ways of trading, little of it having anything to do with the underlying sports. Manual traders are having to give way to automation and algorithmic trading.
To stay ahead, the most successful traders are resorting to systematic and automated methods to build and trade their strategies. This book demonstrates techniques for sports trading, including; fundamental and technical trading, statistical arbitrage, money management, Monte Carlo methods, machine learning and the increasing necessity for algorithmic trading.
This book comes with application code so that readers can program a money management system using Monte Carlo methods and a machine learning application for building trading models. All programming is done within Microsoft's free of charge Visual Studio environment. Spreadsheet software (Excel or openware) will be required too.
Amazon - Betfair Trading Techniques
Screenshots from the applications.
Synopsis
Betting exchanges are becoming ever more like financial markets. This has seen the rise of technical traders who find new and inventive ways of trading, little of it having anything to do with the underlying sports. Manual traders are having to give way to automation and algorithmic trading.
To stay ahead, the most successful traders are resorting to systematic and automated methods to build and trade their strategies. This book demonstrates techniques for sports trading, including; fundamental and technical trading, statistical arbitrage, money management, Monte Carlo methods, machine learning and the increasing necessity for algorithmic trading.
This book comes with application code so that readers can program a money management system using Monte Carlo methods and a machine learning application for building trading models. All programming is done within Microsoft's free of charge Visual Studio environment. Spreadsheet software (Excel or openware) will be required too.
Amazon - Betfair Trading Techniques
Screenshots from the applications.
Contents
Introduction
Chapter 1 – Information is Power
Betting and Trading
Fundamental and Technical Trading
Is All Sports Trading and Betting Arbitrage?
Data Requirements
Chapter 2 – Tools of the Trade
Spreadsheet Software
Microsoft Visual Basic
Web Scraping With HTML Agility Pack
Databases
Trading Software
Additional Skills
Mathematics
Programming
Research
Chapter 3 – Trading Models
Entries and Exits
Data Lore
Market Efficiency
Wisdom of the Crowd
Tipsters
In-Play Trading
Measuring a Model's Predictive Ability
Return and Yield
Edge
Strike Rate
Winning and Losing Streaks
Sharpe Ratio
Overfitting
Back-Testing
Walk Forward Analysis
Time Frames
Monitoring and Refinement
Protecting Edge
Chapter 4 – Fundamental Models
Dutch Masters
Horse Racing
Creating a Dutch Book
Finishing Times
Exotic Arbitrage
Association Football
Tennis
Remarks on Fundamental Modelling
Chapter 5 – Technical Models
Indicators
Overround
Weight of Money
Weight of Flow
VWAP & TWAP
OHLC
Moving Averages
What Moves Prices?
Market Dynamics
Price Tick Transitions
Resistance Lines
Associated Markets
Psychology
Visualisation
Synthetics
Bonus Arbitrage
Remarks on Technical Modelling
Chapter 6 – Money Management
Trade Sizing
Level Stakes
Percentage Stakes
Kelly Criterion
Martingale and Other Madness
Analysis of Staking Methods
Market Capacity
The Myth of Compounding
Monte Carlo or Bust
RiskSimulator
Using RiskSimulator
Further Experiments
Which Staking System Should Be Used?
Slippage
Portfolio Trading
Chapter 7 – Machine Learning
With a Little Help From My (Human) Friend
Combinatorial Explosion
Genetic Algorithm
Implementation – GA Optimiser
Pre-Processing the Training Data
Running the Application
Fitness Measures
Local Maxima
Expanding the Application Further
Chapter 8 – Algorithmic Trading
Why Trade Algorithmically?
Emotional Trading
First to Market Advantage
Algorithmic Trading Software
Dedicated Trading Servers
Scalable Income
Closing Comments
Appendix
Microsoft Visual Studio Quick Reference
Starting a New Project
Adding Components to a Form
Adding Forms, Modules and Classes to an Application
Running the Application from the IDE
Creating a Standalone Application
FAQ
Is there an eBook?
There is no eBook and no likelihood of there being one.
Need help with the book?
If you are looking for help on this page then you are reading the book too quickly. Start again from the very first page, read carefully and you
will find the URL for the book's support web page.
