timeframe parameter for Analyzers and weekly data

Nicola Prada

Hello,

I am running some backtest with a very simple system using only weekly data (pandas) and I added a few analyzers:

cerebro.addanalyzer(bt.analyzers.Returns, _name='returns')
cerebro.addanalyzer(bt.analyzers.DrawDown, _name='drawdown')
cerebro.addanalyzer(bt.analyzers.SharpeRatio, _name='sharpe', riskfreerate=0.0, annualize=True)

Portfolio results for return didn't look right to me:

Total Net Profit 1582338.10
CAGR 58.0894%
Max Drawdown 22.6135%
Max Drawdown Len 91
Sharpe Ratio 0.8554

I modified the code to add the analyzer adding the timeframe parameter:

cerebro.addanalyzer(bt.analyzers.Returns, _name='returns', timeframe=bt.TimeFrame.Weeks)
cerebro.addanalyzer(bt.analyzers.DrawDown, _name='drawdown')
cerebro.addanalyzer(bt.analyzers.SharpeRatio, _name='sharpe', riskfreerate=0.0, annualize=True, timeframe=bt.TimeFrame.Weeks)

Stats now look right:

Total Net Profit 1582338.10
CAGR 9.9116%
Max Drawdown 22.6135%
Max Drawdown Len 91
Sharpe Ratio 0.6601

In the Analyzers/Reference/Returns documentation I read:

timeframe (default: None)

If None the timeframe of the 1st data in the system will be used

Pass TimeFrame.NoTimeFrame to consider the entire dataset with no time constraints

It's not a big deal to add a parameter but maybe I am missing something here: my data (pandas) are all with weekly compression, shouldn't backtrader infer the weekly timeframe from the 1st data? Am I misunderstanding the docs?

Thanks

Nicola

vladisld

If not specified, the analyzer's timeframe attribute will be initialized with the _timeframe attribute of the first data added in cerebro (exactly as it appears in the documentation)

Are you sure the correct timeframe param was specified upon data creation? (you didn't show the code for the data initialization).

There is no "magic" or any other smart code in Backtrader (AFAIK) to automatically infer the correct data timeframe and compression from raw bars.