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Alligator Long Breakout (from Bill Williams)
May 9, 2018, 8:40 AM
Screeners
1 Comment
i use it on weekly chart for lower noise
the trend is measured with the bill williams alligator
i used it to trade german xetra stocks
i only wanna stocks with a total traded volume (close * volume) of 3 mio euro (you can change this value)
no optimization needed
give every week a lot of stocks – cherry pick the beauties with your eye
stop loss is the red alligator linie – often nice upswings are found
c2 = WilderAverage[8]((high+low)/2)[5]
c3 = WilderAverage[13]((high+low)/2)[8]
c4 = average[52](close*volume) > 3000000
c5 = average[52](close*volume)
c6 = c3 > c2
c7 = close > c3 and close[1] < c3[1]
c8 = c7 or c7[1] or c7[2] or c7[3]
c9 = close > c2
SCREENER[c4 and c6 and c8 and c9](c5 as "traded volume")
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Alligator-Long-Breakout.itf
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secundary school-education to banker staff-multiple host part time - economist partime like: reading-thinking biases and chess.
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Voici une version améliorée qui tient compte de plus de critères, notamment l'intégration des volumes récents et du RSI qui réduit les faux positifs. // Calcul des moyennes de Wilder et du volume moyen c2 = WilderAverage[8]((high+low)/2)[5] c3 = WilderAverage[13]((high+low)/2)[8] c4 = Average[52](close*volume) > 3000000 // Volume moyen sur 52 périodes > 3M c5 = Average[52](close*volume) // Vérification des tendances et cassures c6 = c3 > c2 // Tendance haussière sur les moyennes c7 = close > c3 and close[1] c2 // Confirmation au-dessus de la moyenne courte // Ajout d'un filtre de volumes récents (pic de volume) recentVolumeSpike = volume > 0.5 * Average[10](volume) // Volume > 50% de la moyenne // Ajout d'un filtre RSI pour éviter les zones de surachat r = RSI[14](close) c10 = r Average[200](close) // Estimation de tendance haussière // SCREENER final avec toutes les conditions améliorées SCREENER[c4 and c6 and c8 and c9 and recentVolumeSpike and c10 and marketTrendEstimate](c5 as "Traded Volume", rsi as "RSI")