danilogalisteu
danilogalisteu
The check apparently failed due to some network error. Can this be run again? 
The same happens to me. The invalid tickers are not previously identified and removed with the "validate = True" argument. The `data` dictionary is returned from `self._get_data` with a `NaN`...
To sidestep the problem I modified the function `_historical_data_to_dataframe` as such: ```python def _historical_data_to_dataframe(self, data, params, adj_timezone): d = {} invalid = [] for symbol in self._symbols: if data[symbol] is...
Check if this solves it for you: issue https://github.com/dpguthrie/yahooquery/issues/97#issuecomment-977467565 and pull request https://github.com/dpguthrie/yahooquery/pull/102
See solution in [#97](https://github.com/dpguthrie/yahooquery/issues/97#issuecomment-977467565) and pull request #102
What is `df_res`?
> `ma_co_strat = bt.Strategy('EMA_crossover', [bt.algos.WeighTarget(signal), bt.algos.Rebalance()])` Does it work if you add `bt.algos.SelectAll()`? This is how I use it: ``` s1 = bt.Strategy('s1', [bt.algos.SelectAll(), bt.algos.WeighTarget(strat), bt.algos.Rebalance()]) b1 = bt.Backtest(s1, data,...
I'm running the master branch.
@EduardoLoz12 in your third line `Signal.columns=[Price]` you set the *name* of the column as the DataFrame `Price`. That doesn't seem right. See that, in the post above yours, the line...
> Also, the only way to make `bt` work is if you get your data from `bt.get()`? No, any numerical series/dataframe with a datetime index should work. `bt.get()` just gets...