Source code for qf_lib.common.utils.returns.sqn

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from datetime import datetime
from qf_lib.common.utils.dateutils.to_days import to_days
from qf_lib.common.utils.miscellaneous.constants import DAYS_PER_YEAR_AVG
from qf_lib.containers.series.qf_series import QFSeries


[docs]def sqn(returns: QFSeries): """ Calculates the SQN = mean return of trade / std(returns of trades). The returns passed to the function may wither be defined as percentage PnL of trades or as r_multiply = percentage PnL / risk. """ result = returns.mean() / returns.std() return result
[docs]def sqn_for100trades(returns: QFSeries): """ Calculates the SQN = mean return of trade / std(returns of trades) * sqrt(100) """ return sqn(returns) * 10
[docs]def avg_nr_of_trades_per1y(trades_returns: QFSeries, start_date: datetime, end_date: datetime): """ Calculates average number of trades per year for a given data-frame of trades. """ period_length = end_date - start_date period_length_in_years = to_days(period_length) / DAYS_PER_YEAR_AVG avg_number_of_trades_1y = len(trades_returns) / period_length_in_years return avg_number_of_trades_1y