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dhelm-candlepattern from group in.kncsolutions.dhelm.candlepattern (version 1.0.4)
This library provides the necessary implementations to screen the following patterns:
Bullish Belt Hold
Bearish Belt Hold
Hammer
Hanging Man
Southern Doji
Northern Doji
Gapping Up Doji
Gapping Down Doji
Takuri Line
One Candle Shooting Star
Bullish Strong Line
Bearish Strong Line
Bullish Harami
Bearish Harami
Bullish Engulfing
Bearish Engulfing
Bullish Kicking
Bearish Kicking
Matching Low
Matching High
Bullish Harami Cross
Bearish Harami Cross
Bullish Doji Star
Bearish Doji Star
Dark Cloud Cover
Piercing Line
Descending Hawk
Homing Pigeon
Bullish Abandoned Baby
Bearish Abandoned Baby
Three Inside Up
Three Inside Down
Three Outside Up
Three Outside Down
Three White Soldiers
Three Black Crows
Morning Doji Star
Evening Doji Star
Morning Star
Evening Star
Upside Tasuki Gap
Downside Tasuki Gap
Bullish Side by Side White Lines
Bearish Side by Side White Lines
Rising Three Method
Group: in.kncsolutions.dhelm.candlepattern Artifact: dhelm-candlepattern
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Show all versions Show documentation Show source
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Artifact dhelm-candlepattern
Group in.kncsolutions.dhelm.candlepattern
Version 1.0.4
Last update 16. July 2018
Organization KNC Solutions Private Limited.
URL https://dhelm.kncsolutions.in
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies dhelm-exceptions, dhelm-mathcal, dhelm-candlebasic,
There are maybe transitive dependencies!
Group in.kncsolutions.dhelm.candlepattern
Version 1.0.4
Last update 16. July 2018
Organization KNC Solutions Private Limited.
URL https://dhelm.kncsolutions.in
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies dhelm-exceptions, dhelm-mathcal, dhelm-candlebasic,
There are maybe transitive dependencies!
pathogen from group com.aamend.spark (version 1.0.1)
The rooster crows immediately before sunrise, the rooster causes the sun to rise.
Using GraphX to detect possible causes and effects between time related events.
We observe a true causation signal by generating random correlations
over same events at different time and back propagate these scores to
their most connected events. Finally, we extract the most probable causes and effects
together with a score of aggressiveness (how likely an event could explain downstream
effects) and sensitivity (how likely an event results from an upstream cause).
1 downloads
Artifact pathogen
Group com.aamend.spark
Version 1.0.1
Last update 14. July 2017
Organization aamend.com
URL https://github.com/aamend/pathogen
License Apache License, version 2.0
Dependencies amount 2
Dependencies joda-time, scala-logging_2.11,
There are maybe transitive dependencies!
Group com.aamend.spark
Version 1.0.1
Last update 14. July 2017
Organization aamend.com
URL https://github.com/aamend/pathogen
License Apache License, version 2.0
Dependencies amount 2
Dependencies joda-time, scala-logging_2.11,
There are maybe transitive dependencies!
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