Discussing the article: "Building a Gold Volatility Regime Monitor from Options Data in MQL5"
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Check out the new article: Building a Gold Volatility Regime Monitor from Options Data in MQL5.
A practical bridge from the options market into MetaTrader 5 for gold. We compute near-the-money implied volatility by solving Black-Scholes from quoted prices, compare it with 30-day realized volatility, and use the ratio as a regime proxy. A Python feed publishes the value, an MQL5 script consumes it with WebRequest, and a background service keeps a panel current and alerts on changes. Source code for all parts is provided.
Your gold chart is a complete record of what already happened. But there's a second market quoting gold right now, and it isn't describing the past at all. It's quoting what people expect next and how much they'll pay to be protected from it.
That second market is the options market, and MetaTrader doesn't show you one number from it. Nothing is hidden: gold options are quoted publicly throughout the trading day. The problem is plumbing. MetaTrader was built to trade instruments, not to read option chains, so the information sits one wall away from the terminal where you actually size your trades.
So that's what we're building. We'll take one number out of the gold options market, the one that says how much movement traders are paying to be protected against, compare it with how much gold has actually been moving, and put the difference on your chart. What options quote is the price of protection, shaped by supply and demand, not a pure forecast, so the comparison is context rather than a signal.
By the end, you'll have three programs:
All of it is source code you can read and change.
Author: Eugenio Gustavo Guilarte Homayden