adelorenzo/stable
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

combine analyzation steps to one method

Browse Source
This commit is contained in:
Janne Sinivirta 2017-09-09 13:16:14 +03:00
parent 8a736ba38d
commit 507f12e92a
1 changed files with 10 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
analyze.py
View File

@ -94,17 +94,21 @@ def populate_trends(dataframe: DataFrame) -> DataFrame:
return dataframe return dataframe
def analyze_ticker(pair: str) -> DataFrame:
minimum_date = arrow.now() - timedelta(hours=6)
data = get_ticker(pair, minimum_date)
dataframe = parse_ticker_dataframe(data['result'], minimum_date)
dataframe = populate_indicators(dataframe)
dataframe = populate_trends(dataframe)
return dataframe
def get_buy_signal(pair: str) -> bool: def get_buy_signal(pair: str) -> bool:
""" """
Calculates a buy signal based on StochRSI indicator Calculates a buy signal based on StochRSI indicator
:param pair: pair in format BTC_ANT or BTC-ANT :param pair: pair in format BTC_ANT or BTC-ANT
:return: True if pair is underpriced, False otherwise :return: True if pair is underpriced, False otherwise
""" """
minimum_date = arrow.now() - timedelta(hours=6) dataframe = analyze_ticker(pair)
data = get_ticker(pair, minimum_date)
dataframe = parse_ticker_dataframe(data['result'], minimum_date)
dataframe = populate_indicators(dataframe)
dataframe = populate_trends(dataframe)
latest = dataframe.iloc[-1] latest = dataframe.iloc[-1]
# Check if dataframe is out of date # Check if dataframe is out of date
@ -164,10 +168,5 @@ if __name__ == '__main__':
pair = 'BTC_ANT' pair = 'BTC_ANT'
#for pair in ['BTC_ANT', 'BTC_ETH', 'BTC_GNT', 'BTC_ETC']: #for pair in ['BTC_ANT', 'BTC_ETH', 'BTC_GNT', 'BTC_ETC']:
# get_buy_signal(pair) # get_buy_signal(pair)
minimum_date = arrow.now() - timedelta(hours=6) plot_dataframe(analyze_ticker(pair), pair)
data = get_ticker(pair, minimum_date)
dataframe = parse_ticker_dataframe(data['result'], minimum_date)
dataframe = populate_indicators(dataframe)
dataframe = populate_trends(dataframe)
plot_dataframe(dataframe, pair)
time.sleep(60) time.sleep(60)