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[FTA] Logarithmic MACD with Regular and Hidden Divergences

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This is a highly stable, volatility adaptive, Moving Average Convergence Divergence (MACD) that uses a modified calculation based on improved logarithmic measurements of the momentum.

1- This MACD provides the trader with most accurate detection of divergences, both regular and hidden ones, and shows them on the MACD Histogram.

2- Furthermore, the MACD/Signal divergences are also easily detectable (unlike the regular MACD which often does not provide accurate divergences; see the screenshot for comparison).

3- Finally, due to some different calculation methods, this MACD, unlike the regular MACD, is highly stable in higher time frames even in the most volatile markets (such as BTC, ETH, ADA, etc...) and thus can easily be utilized for the market prediction state in the crypto (see the screenshot for comparison).

Use it and let me know what you think about it in comparison to regular MACD!


版本注释
Updated to PineScript V5
DivergencehiddendivergenceHTFLOGARITHMICMoving Average Convergence / Divergence (MACD)Moving AveragespredictionregulardivergencestableTrend AnalysisVolatility

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