<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ray on Jonathan Franklin</title><link>https://jonnie.github.io/tags/ray/</link><description>Recent content in Ray on Jonathan Franklin</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 07 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jonnie.github.io/tags/ray/index.xml" rel="self" type="application/rss+xml"/><item><title>Automated Trading System</title><link>https://jonnie.github.io/work/automated-trading-system/</link><pubDate>Mon, 07 Sep 2026 00:00:00 +0000</pubDate><guid>https://jonnie.github.io/work/automated-trading-system/</guid><description>&lt;h2 id="problem"&gt;Problem&lt;/h2&gt;&#10;&lt;p&gt;Pricesearcher&amp;rsquo;s automated FX/CFD trading operation needed more than strategies. Running through MetaTrader 5 meant connecting research and backtesting to live execution, account-level risk settings, data collection and reporting. The software also needed to handle market hours and the practical constraints of a Windows-based trading terminal.&lt;/p&gt;&#10;&lt;h2 id="architecture"&gt;Architecture&lt;/h2&gt;&#10;&lt;p&gt;MQL5 Expert Advisors ran inside MetaTrader 5, while a Python/FastAPI trade engine used the MT5 connector alongside the terminal on a Windows VPS. S3 held exported trade history and the &lt;a href="https://jonnie.github.io/work/mt5-ohlcv-pipeline/"&gt;OHLCV pipeline&lt;/a&gt; supplied bars for research and backtesting. AWS monitoring fed alerts into Slack, and an internal dashboard exposed strategy, account and commission views.&lt;/p&gt;</description></item></channel></rss>