The Amibroker custom backtester interface provides three levels of user customization, simply called high-level, mid-level, and low-level. 1 Advanced users’ workshop: Custom Backtester Interface 4/19/ Advanced users’ workshop: Custom Backtester Interface by Tomasz Janeczko, Amibroker. 1 Topographic Surface Anatomy. STUDY AIMS. At the end of your study, you should be able to: Identify the key landmarks.
|Published (Last):||2 September 2018|
|PDF File Size:||20.35 Mb|
|ePub File Size:||15.39 Mb|
|Price:||Free* [*Free Regsitration Required]|
IsLong calls the two Signal object methods IsEntry and IsLong to determine if the current signal is an entry signal and a long signal ie. The test for scale-in then looks like this: Custom Backtester Interface”— Presentation transcript: However, any conditional involving dustom null value is always false, so this will still work.
Custom Backtester Interface – AmiBroker
AmiBroker provides a single Backtester object to perform backtests. I will use the code for backtesting around days.
Currently there are two ways: The only thing to be aware of is where a single string inside double quotes needs to span multiple lines. Or, if the same values were specified in the Automatic Analysis settings, the two lines above would not be needed in your AFL code at all, and the procedure would be in the specified file.
Historical portfolio backtest metrics. The test for scale-in then looks like this:.
Creating LOVs and Editors. Sign up using Email and Password. A loop is required to iterate through all bars of the chart. Amibroker is one of the most versatile tools for Trading system development and testing. As this is not a read-only property, it can be both read and modified. AmiBroker tends to refer to this as the Advanced Portfolio Backtester Interface, but as it seems to be more widely referred to as the Custom Backtester Interface, I will use this latter terminology.
However, if it got stopped out and the same stock subsequently purchased again, that would show as two trades in the list.
So, to get the number of calendar days spent in a trade, we call our DayCount function passing the entry and exit dates: No signal is required to perform the scale-in. There are a few ways of doing this: Firstly, the DayInYear function:.
The signal for loop processes all entry and exit signals generated by our buy and sell conditions in the main AFL code. The required conditions therefore are: The AmiBroker manual already explains it in detail!
For example, in the main AFL code:.
Custom Backtester Interface – AmiBroker by Tomasz Janeczko – PDF Drive
Share buttons are a little bit lower. To use real AFL examples, the first object detailed in the help is backtesteg Backtester object. Only developers working on the object itself care about them. As mentioned above, we really need a Trade object property here that we can write to with our own information.
Putting that code inside the custom backtest template looks like this: For example, the Signal object only has a few methods that indicate whether the current bar amibroked an entry, exit, long, or short signal, or has a scale in or out signal.
Typically, inside the signal loop or possibly the trades loop there will be a number of tests for various conditions and then trades baacktester, exited, and scaled accordingly.
The low-level interface provides the most flexibility to control backtester operation.
Custom Backtest – AmiBroker Knowledge Base
Then in the custom backtest procedure: For example, to display the entry position score value against each trade in the backtester results, the following code could be used:. However, since the backtester at this level is not run in the context of a particular symbol, the data must be saved to a composite symbol in the main code or perhaps a static variable and referenced in the custom backtest procedure with the Foreign function.
A value of zero means all buys will be taken, subject to cash availability, while a value of means none will be.