Sharpe Ratio BT vs Pyfolio different values
lssilva last edited by
I have a very simple strategy and in the end I run:
cerebro.addanalyzer(bt.analyzers.SharpeRatio) cerebro.addanalyzer(bt.analyzers.Returns) cerebro.addanalyzer(bt.analyzers.PyFolio)
Then I compare the return and Sharpe from bt to Pyfolio and they are
Sharpe Ratio 1.22111855094Total return 0.671019659277
Entire data start date: 2012-09-24 Entire data end date: 2017-09-22 Backtest months: 59 BacktestAnnual return 14.4% Cumulative returns 95.6% Annual volatility 15.2% Sharpe ratio 0.96 Calmar ratio 0.86 Stability 0.90 Max drawdown -16.8% Omega ratio 1.18 Sortino ratio 1.48 Skew 0.86 Kurtosis 8.21 Tail ratio 1.02 Daily value at risk -1.9% Gross leverage 0.60 Daily turnover 0.2% Alpha 0.04 Beta 0.81
Is it due to the Risk Free rate? Comission? Slippage?
mpskowron last edited by
Look at SharpeRatio analyzer code in backtrader and check how many parameters does it have. Any of those parameters will influence the result. Pyfolio Sharpe ratio has to rely on some default parameters as well, they are probably different than bt.SharpeRatio defaults.
Paska Houso last edited by
empyricalfor calculations like
The definition of the
empyrical(See here: empyrical - Sharpe Ratio
def sharpe_ratio(returns, risk_free=0, period=DAILY, annualization=None):
There is already a difference with the following :
- ``riskfreerate`` (default: 0.01 -> 1%)
and a second here:
- ``timeframe``: (default: ``TimeFrame.Years``)
empyricalhas a default of
DAILY. This may be an entirely different thing and not directly related to the timeframe.
You'll have to check both sources.