New MT5 build offers improvements for Wine and SQL integration enhancements
The latest build (2860) of the MetaTrader 5 platform is out, offering new functionalities and enhancements to existing ones.
In the latest version of the platform, traders can enable/disable additional MQL5.community services. For example, if you are not interested in MQL5 programming articles or copy trading features of the Signals service, you can disable the relevant section to optimize resources and terminal workspace.
Furthermore, the developers have significantly optimized terminal operation under Wine on macOS and Linux. Now undocked service windows (Navigator, Toolbox) cannot be dragged beyond terminal borders. Previously, this could cause difficulty in dragging windows back to the terminal.
All users of the platform are advised to update Wine to the latest stable version. This will increase the platform performance and reliability.
The new release of the platform adds support for “Market To Limit” orders when trading on BORSA Istanbul. Such an order is initially executed as a market order. If liquidity is not enough, the remaining volume is added to the order book as a limit order with the last deal price.
The latest MT5 build also offers expanded possibilities for working with SQL databases. Queries now support a variety of statistical and mathematical functions.
New macros have been added:
- __COUNTER__ — increases by one on each call. Separate counters are provided when used in templates and macros.
- __RANDOM__ — generates a random ulong number; it is an analogue of the MathRand function.
In MetaEditor, the order of profiling and debugging using historical data has been changed.
Profiling now always runs in non-visual mode. Default debugging also runs in non-visual mode. The appropriate option can be enabled manually in MetaEditor settings:
Added ability to profile services. The process is similar to other MQL5 programs.
Let’s recall that the preceding MT5 build (2815) was released about a month ago, offering a set of enhancements, such as access to Depth of Market data via the Python API.