Discussing the article: "Decoding Market Intent: Reading Structure, Liquidity, and Price Behavior"
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Check out the new article: Decoding Market Intent: Reading Structure, Liquidity, and Price Behavior.
We implement a five-stage MQL5 pipeline that quantifies market structure, liquidity interaction, and price behavior on four timeframes, then resolves them into a 0–100 Market Intent Score. Decision states (WAIT/WATCH/ACTION) are driven by explicit weights plus hard gates. The analytical core feeds a concise dashboard and, when AutoTrade is on, an execution layer with entry zones, invalidation and liquidity‑based targets.
The engine is built as a pipeline, and each stage answers exactly one question. Stage one asks where the market is in structural terms. Stage two asks where orders are likely clustered. Stage three asks what price actually did when it got there. Stage four asks what all of that implies. Stage five asks what we should do about it. Data flows one way, and no stage is allowed to reach back and rewrite an earlier one. This is deliberate. A great many discretionary systems fail because the trader decides on a direction first and then interprets structure to support it. A pipeline cannot do that.
Context is handled by running stage one on four timeframes at once. A macro timeframe sets the broad bias, a primary timeframe carries the structure we trade with, a setup timeframe hosts the liquidity work, and an entry timeframe supplies confirmation. The defaults are H4, H1, M15, and M5, and all four are inputs. This is what stops the system from taking every pattern it finds. The same M15 sweep means one thing when H4 and H1 agree with it and something quite different when they do not, and the score reflects that difference automatically rather than through a handwritten exception.
The output is deliberately compressed. Rather than fifty objects, we show the handful that carry information, and we back them with a dashboard that states the case in words. The dashboard reports each timeframe's trend and whether liquidity has been swept (and on which side). It also shows the last displacement strength, FVG state, last structural break, component gauges, the total score, the decision state, and the current trade plan with its reward-to-risk ratio.
Author: Hlomohang John Borotho