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Part 1 introduced Cairo's separation between what to draw and where it goes, then implemented the two supporting files: a color type Color.mqh and a surface that binds a pixel buffer to a single chart object Surface.mqh. We finished by writing pixels directly in nested loops and drawing a triangle and a circle with separate functions.

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In the previous article, we we introduced the MASA framework — a multi-agent system built on a unique integration of interacting agents. Within the MASA architecture, the RL agent, based on reinforcement learning (RL), optimizes the overall return of an investment portfolio. At the same time, an alternative algorithm-based agent attempts to optimize the portfolio proposed by the RL agent, focusing on minimizing potential risks.

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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

The Parabolic Stop-And-Reverse (SAR) indicator and the Relative Vigour Index (RVI) oscillator are our next pairing to consider within these series. This time, this duo brings together trend identification with momentum tracking. As we have in past articles, we consider 10 possible signal patterns that can be generated from combining these two indicators, and we have them tested in a wizard assembled Expert Advisor. With that, let's look at the definitions of these 2 indicators.

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In the following sections, we’ll dive into the EA’s structure, walk through its customizable settings, and show how its performance metrics can sharpen your price‑action trading approach. Let’s start by exploring the specific candlestick patterns this EA watches for, examining each candle’s anatomy and the calculations used to pinpoint them.

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