<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ohlcv on Jonathan Franklin</title><link>https://jonnie.github.io/tags/ohlcv/</link><description>Recent content in Ohlcv on Jonathan Franklin</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 04 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jonnie.github.io/tags/ohlcv/index.xml" rel="self" type="application/rss+xml"/><item><title>MT5 OHLCV Bars Pipeline</title><link>https://jonnie.github.io/work/mt5-ohlcv-pipeline/</link><pubDate>Fri, 04 Sep 2026 00:00:00 +0000</pubDate><guid>https://jonnie.github.io/work/mt5-ohlcv-pipeline/</guid><description>&lt;h2 id="problem"&gt;Problem&lt;/h2&gt;&#10;&lt;p&gt;Trading research needed reusable histories of one-minute open, high, low, close and volume bars. MetaTrader 5 held the source data, but its Windows terminal loaded symbol history on demand. Repeated manual exports made it awkward to retrieve consistent date ranges across symbols.&lt;/p&gt;&#10;&lt;h2 id="architecture"&gt;Architecture&lt;/h2&gt;&#10;&lt;p&gt;An hourly Monday-to-Friday job on a Windows EC2 instance retrieves M1 bars through the MT5 Python API. Bars are stored as compressed daily symbol/date partitions on S3, with monthly aggregates. A CLI reads selected partitions into a local cache and imports historical CSV exports into the same layout. Lambda scheduling, CloudWatch monitoring, Pulumi and PowerShell manage the runtime around the terminal.&lt;/p&gt;</description></item></channel></rss>