Description
Matt Radtke – AmiBroker Custom Backtester Intensive
Checkout more:Matt Radtke
Sale Page : amibroker
This product is available
You can refer to the screenshots here :
Please contact us to get free sample
The CBT Intensive course is designed for traders who want to use AmiBroker to create complex back tests and optimizations using the Custom Backtest (CBT) interface.
At the completion of this 4+ hour course, you will be able to:
- Determine when to use each of the three levels of the Custom Back Tester
- Add custom trade metrics via the Custom Back Tester
- Add custom portfolio metrics via the Custom Back Tester
- Exercise complete control over the processing of entry and exit signals
- Enter, modify, and exit trades at will
- Perform auxiliary functions like hedging
Topic Summary
Session 1
- AmiBroker Architecture
- Data Constructs
- User Functions
- Object Model
Session 2
- Introduction to the CBT
- High-level CBT
- Mid-Level CBT
Session 3
- Low-level CBT
- Common Mistakes
Matt Radtke, AmiBroker Custom Backtester Intensive, Download AmiBroker Custom Backtester Intensive, Free AmiBroker Custom Backtester Intensive, AmiBroker Custom Backtester Intensive Torrent, AmiBroker Custom Backtester Intensive Review, AmiBroker Custom Backtester Intensive Groupbuy.


Jeffrey T.Spooner – Stable Adaptative Control for Nonlinear Systems
Darrell Duffie – Credit Risk
John Schaub – Using Lease Options to Buy and Sell Property
Constance Brown - All About Technical Analysis
Udemy - QuickBooks Online 2019 & 2018 Start To Finish
Sankar Pal – Mathematical Programming and Game Theory for Decision Making
Maxim Finkelstein - Failure Rate Modelling for Reliabiliy & Risk
Donald Waters – Quantitative Methods for Business 5th Ed
Rudiger Kiesel - Alternative Investments and Strategies
Nils Rasmussen – Process Improvement for Effective Budgeting and Financial Reporting
D.Michie, D.J. Spiegelhalter, C.C.Taylor - Machine Learning-Neural and Statistical Classification
Alexander D.Poularikas – Transforms and Applications Handbook
Vladimir Cherkassky, Filip Mulier – Learning from Data. Concepts, Theory & Methods
Reviews
There are no reviews yet.