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

changed defaults

Browse Source 
Seperated save trades and print trades options.
This commit is contained in:
creslinux 2018-07-16 17:48:11 +00:00
parent ec1960530b
commit 8d5da4e6ad
1 changed files with 12 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
freqtrade/optimize/backtesting.py
View File

@ -101,7 +101,8 @@ class Backtesting(object):
self.debug_vector = False # Debug vector calcs self.debug_vector = False # Debug vector calcs
self.debug_timing_main_loop = False # print overall timing per pair - works in Backtest and Backslap self.debug_timing_main_loop = False # print overall timing per pair - works in Backtest and Backslap
self.backslap_show_trades = True #prints trades in addition to summary report, also saves to backslap.txt self.backslap_show_trades = False # prints trades in addition to summary report
self.backslap_save_trades = True # saves trades as a pretty table to backslap.txt
@staticmethod @staticmethod
@ -1055,17 +1056,25 @@ class Backtesting(object):
results results
) )
) )
#optional print trades
if self.backslap_show_trades: if self.backslap_show_trades:
TradesFrame = results.filter(['open_time', 'pair', 'exit_type', 'profit_percent', 'profit_abs', TradesFrame = results.filter(['open_time', 'pair', 'exit_type', 'profit_percent', 'profit_abs',
'buy_spend', 'sell_take', 'trade_duration', 'close_time'], axis=1) 'buy_spend', 'sell_take', 'trade_duration', 'close_time'], axis=1)
def to_fwf(df, fname): def to_fwf(df, fname):
content = tabulate(df.values.tolist(), list(df.columns), floatfmt=".8f", tablefmt='psql') content = tabulate(df.values.tolist(), list(df.columns), floatfmt=".8f", tablefmt='psql')
print(content) print(content)
open(fname, "w").write(content)
DataFrame.to_fwf = to_fwf(TradesFrame, "backslap.txt") DataFrame.to_fwf = to_fwf(TradesFrame, "backslap.txt")
#optional save trades
if self.backslap_save_trades:
TradesFrame = results.filter(['open_time', 'pair', 'exit_type', 'profit_percent', 'profit_abs',
'buy_spend', 'sell_take', 'trade_duration', 'close_time'], axis=1)
def to_fwf(df, fname):
content = tabulate(df.values.tolist(), list(df.columns), floatfmt=".8f", tablefmt='psql')
open(fname, "w").write(content)
DataFrame.to_fwf = to_fwf(TradesFrame, "backslap.txt")
else: else:
logger.info( logger.info(
'\n================================================= ' '\n================================================= '