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LinearRegressionCompleteDerivation

Os modelos de regressão descrevem a relação entre as variáveis ​​ajustando uma linha aos dados observados. Os modelos de regressão linear usam uma linha reta, enquanto os modelos de regressão logística e não linear usam uma linha curva. A regressão permite estimar como uma variável dependente muda à medida que a(s) variável(is) independente(s) muda(m).

A regressão linear simples é usada para estimar a relação entre duas variáveis ​​quantitativas.

Este indicador calcula a diferença de dois cálculos de regressão diferentes e a média móvel desta diferença durante o período selecionado.

Assim, tenta determinar a estimativa futura da variável independente, o preço.

Em meus experimentos, vi que diferentes timeframes funcionam com mais sucesso e diferentes entradas podem ser usadas para diferentes instrumentos.

Você pode tomar a interseção das duas linhas e as linhas que cruzam o ponto zero como um sinal.

A estratégia de saída depende de você.


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Rachid Lafhil
3 (2)
️️ Attention:      The price will soon be raised to what it was before ($500).      No more losses with this indicator, test it for years ago and see if there is losses in one day results. but before testing it please see the explaining video down here.    FxBears Powers is working on all forex pairs, metals, commodities, futures, indices, energies, crypto, and everything...and on all timeframes from M1 to MN.   It's based on supply and demand zones, price action, and some internal indicators,
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Ahmet Metin Yilmaz
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Ahmet Metin Yilmaz
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Ahmet Metin Yilmaz
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Ahmet Metin Yilmaz
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Ahmet Metin Yilmaz
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Ahmet Metin Yilmaz
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Ahmet Metin Yilmaz
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Psr3EA
Ahmet Metin Yilmaz
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ColorCMI
Ahmet Metin Yilmaz
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Signaline
Ahmet Metin Yilmaz
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