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import pandas as pd | |
import numpy as np | |
# acronyms will be changed to lowercase for get-method calls in order to conform with pep-style | |
indicators = [ | |
'ABANDS', # Acceleration Bands | |
'AD', # Accumulation/Distribution | |
'ADX', # Average Directional Movement | |
'AMA', # Adaptive Moving Average | |
'APO', # Absolute Price Oscillator | |
'AR', # Aroon |
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import pandas as pd | |
import numpy as np | |
# acronyms will be changed to lowercase for get-method calls in order to conform with pep-style | |
indicators = [ | |
'ABANDS', # Acceleration Bands | |
'AD', # Accumulation/Distribution | |
'ADX', # Average Directional Movement | |
'AMA', # Adaptive Moving Average | |
'APO', # Absolute Price Oscillator | |
'AR', # Aroon |
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""" | |
1. Launch Kafka: | |
- $KAFKA_HOME/bin/zookeeper-server-start.sh $KAFKA_HOME/config/zookeeper.properties | |
- $KAFKA_HOME/bin/kafka-server-start.sh $KAFKA_HOME/config/server.properties | |
run via faust -A <filename> worker -l info | |
2. Faust library: | |
faust.App.agent: - main processing actor in Faust App | |
""" |