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  1. EUR/USD M5: 44 pips range price movement by U.S. Advance GDP news events

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About mql5

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Metatrader 5 / Metatrader 4 for MQL5 / MQL4 articles preview preview
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Recent Entries

MQL5 Economic Calendar and Quotes: free to download by source codes and free to use

by mql5 on Yesterday at 02:30 AM
Subscribe to the channels (for free: free to download by source codes and free to use):

Mini-articles with technical and fundamental analysis on the way as forecasts and levels (with good indicators uploaded by source codes) - https://www.mql5.com/en/channels/forecast
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From Basic to Intermediate: Objects (I)

by mql5 on Yesterday at 02:30 AM
In the previous article, “From Basic to Intermediate: Indicator (V)” we explained how we can, in a simple way, adapt an indicator, even if only partially, to the chart display mode used in MetaTrader 5. However, we did not show how to use the three chart modes, because doing so requires knowledge that we have not yet properly explained here.
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Metatrader 5 Overview

by mql5 on 05-30-2026 at 05:54 AM
New Gadgets and Game Technical News - https://www.mql5.com/en/channels/gadget
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An Introduction to the Study of Fractal Market Structures Using Machine Learning

by mql5 on 05-29-2026 at 07:35 AM
Financial markets have complex, non-linear dynamics that traditional models often fail to capture. Linear approaches and classical risk indicators such as standard deviation and beta do not account for features such as heavy tails and volatility clustering.

Fractal theory, developed by Mandelbrot, offers an alternative that can describe "wild randomness" and self-similar structures in financial series. It reveals hidden patterns that elude traditional analysis and promotes

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Mining Central Bank Balance Sheet Data to Get a Picture of Global Liquidity

by mql5 on 05-03-2026 at 05:43 PM
This article is not just a guide to analyzing central bank balance sheets. It is an in-depth exploration of how to build a system that, like an alchemical cauldron, transforms raw liquidity data into golden forecasts of currency pair movements. We will combine information from the US Federal Reserve (Fed), the European Central Bank (ECB), the Bank of Japan (BOJ) and the People's Bank of China (PBoC) to create a composite index of global liquidity. We will explore how machine learning and

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