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Unfortunately, Lesson 7 Price action Ket hop Volume VSA is unavailable

The code has been removed. However, the huge code base still remains at your disposal allowing you to find a suitable code.

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The script shows the usage of L1 Trend Filter methods in MQL5 for float and double vectors on random walk simulated data.

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This EA implements a range breakout trading strategy. It calculates a price range between start and end times defined by the user, draws a visual rectangle on the chart to mark the high and low of that range, and then monitors price action after the range closes. If the market breaks above the range high, it opens a buy trade; if it breaks below the range low, it opens a sell trade.

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Two adaptive moving averages that read the market differently. Crossovers signal trend shifts.

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