MetaTrader 5's Build 4150 Boosts Reporting and Integrates Machine Learning

<p>MetaTrader 5 (MT5) introduces build
4150, featuring a range of improvements in reporting functionality and the
integration of new machine learning methods in MQL5. Traders and investors will
benefit from enhanced reporting capabilities and advanced tools for data
analysis.</p><p>Enhanced Trading Report Export and
Market Watch Window Features</p><p>The update introduces the ability to
export trading reports to HTML and PDF files directly from the platform.
Traders can now easily share their achievements with colleagues and investors
using the new export commands available in the File menu and the report menu.</p><p>MT5 now allows users to save the
current state of the Market Watch window to a CSV file. By selecting 'Export'
in the context menu, traders can save selected metrics at the time of export.
Additionally, users can enable extra columns through the context menu to
include more data in the exported file.</p><p>The display of margin requirements in
contract specifications has been enhanced, providing final margin values
instead of ratios and initial parameters for calculations. However, it's
important to note that the margin is calculated based on the instrument price
at the time the specification window opens and is not updated in real-time.
Traders can recalculate values based on current prices by reopening the
instrument specification.</p><p>Signals Service Update with MQL5
Machine Learning Integration</p><p>The update disables support for the
Signals service for demo accounts. Traders can now access enhanced statistics
on their training accounts using the new trading report. This report includes
various metrics characterizing strategy profitability and risks, such as
<a href="https://www.financemagnates.com/tag/growth/" target="_blank" rel="follow">growth</a>, balance and equity graphs, trade distribution diagrams, and more.</p><p>The <a href="https://www.financemagnates.com/tag/mql5/">MQL5</a> programming language
has introduced new methods tailored for machine learning operations, including
Confusion Matrix for calculating the error matrix applied to a vector of
predicted values, Confusion Matrix Multi label for computing error matrices for
each label in a vector of predicted values, Classification Metric for evaluating
the quality of predicted data compared to true data using a classification
metric, and Classification Score for computing the classification metric to
assess the quality of predicted data relative to the true data.</p><p>The
latest updates in the MQL5 programming language include enhancements such as
improved data saving to UTF-8 formatted text files through the File Write
function. Additionally, Signal functions have been deprecated and will now
return empty signal sets. In Meta Editor, profiling now benefits from an
increased sampling rate, capturing application states 10,000 times per second
for more precise measurement of function execution rates. These improvements
collectively enhance the language's functionality and profiling capabilities.</p><p>The
update addresses various issues, including the freezing of forward testing in
generic optimization mode, profit calculation errors for Close By operations,
and display issues in the Web Terminal. <a href="https://www.financemagnates.com/tag/metatrader-5/" target="_blank" rel="follow">MetaTrader 5</a> users are encouraged to
update their platforms to benefit from these enhancements and bug fixes for a
smoother trading experience.</p>

This article was written by Tareq Sikder at www.financemagnates.com.