Skip to content

Added Order Fees #1119

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 1 commit into from
Closed
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 7 additions & 1 deletion backtesting/_stats.py
Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ def compute_stats(
ohlc_data: pd.DataFrame,
strategy_instance: 'Strategy',
risk_free_rate: float = 0,
order_fees:float = 0,
) -> pd.Series:
assert -1 < risk_free_rate < 1

Expand Down Expand Up @@ -68,6 +69,7 @@ def compute_stats(
'Tag': [t.tag for t in trades],
})
trades_df['Duration'] = trades_df['ExitTime'] - trades_df['EntryTime']
total_fees = len(trades) * order_fees
del trades

pl = trades_df['PnL']
Expand All @@ -90,7 +92,11 @@ def _round_timedelta(value, _period=_data_period(index)):
have_position[t.EntryBar:t.ExitBar + 1] = 1

s.loc['Exposure Time [%]'] = have_position.mean() * 100 # In "n bars" time, not index time
s.loc['Equity Final [$]'] = equity[-1]
if total_fees != 0:
s.loc['Equity Final [$] (without fees)'] = equity[-1]
s.loc['Equity Final [$]'] = equity[-1] - total_fees
else:
s.loc['Equity Final [$]'] = equity[-1]
s.loc['Equity Peak [$]'] = equity.max()
s.loc['Return [%]'] = (equity[-1] - equity[0]) / equity[0] * 100
c = ohlc_data.Close.values
Expand Down
5 changes: 4 additions & 1 deletion backtesting/backtesting.py
Original file line number Diff line number Diff line change
Expand Up @@ -1030,7 +1030,8 @@ def __init__(self,
margin: float = 1.,
trade_on_close=False,
hedging=False,
exclusive_orders=False
exclusive_orders=False,
order_fees : float = 0
):
"""
Initialize a backtest. Requires data and a strategy to test.
Expand Down Expand Up @@ -1133,6 +1134,7 @@ def __init__(self,
)
self._strategy = strategy
self._results: Optional[pd.Series] = None
self.order_fees = order_fees

def run(self, **kwargs) -> pd.Series:
"""
Expand Down Expand Up @@ -1238,6 +1240,7 @@ def run(self, **kwargs) -> pd.Series:
ohlc_data=self._data,
risk_free_rate=0.0,
strategy_instance=strategy,
order_fees=self.order_fees
)

return self._results
Expand Down