Cannot Run Code

[XxPro1445GamerxX]

Traceback (most recent call last): File "C:/Users/14753/OneDrive/Desktop/stock.py", line 17, in data = pd.read_csv("SBUX.csv", date_parser=['date']) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\parsers.py", line 702, in parser_f return _read(filepath_or_buffer, kwds) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\parsers.py", line 429, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\parsers.py", line 895, in init self._make_engine(self.engine) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\parsers.py", line 1122, in _make_engine self._engine = CParserWrapper(self.f, **self.options) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\parsers.py", line 1853, in init self._reader = parsers.TextReader(src, **kwds) File "pandas_libs\parsers.pyx", line 387, in pandas._libs.parsers.TextReader.cinit File "pandas_libs\parsers.pyx", line 705, in pandas._libs.parsers.TextReader._setup_parser_source FileNotFoundError: [Errno 2] File b'SBUX.csv' does not exist: b'SBUX.csv'

Having this error, whats the problem

[anfederico]

That file isn't available, try data.csv from the examples folder.

[XxPro1445GamerxX]

Traceback (most recent call last): File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexes\base.py", line 4381, in get_value return libindex.get_value_box(s, key) File "pandas_libs\index.pyx", line 52, in pandas._libs.index.get_value_box File "pandas_libs\index.pyx", line 48, in pandas._libs.index.get_value_at File "pandas_libs\util.pxd", line 113, in pandas._libs.util.get_value_at File "pandas_libs\util.pxd", line 98, in pandas._libs.util.validate_indexer TypeError: 'str' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\14753\OneDrive\Desktop\Clairvoyant-master\Clairvoyant-master\examples\stock.py", line 22, in backtest.start(data, kernel='rbf', C=1, gamma=10) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\clairvoyant\engine.py", line 197, in start Engine.start(self, data, **kwargs) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\clairvoyant\engine.py", line 52, in start Xs = [data.iloc[i][var] for var in self.features] File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\clairvoyant\engine.py", line 52, in Xs = [data.iloc[i][var] for var in self.features] File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\series.py", line 868, in getitem result = self.index.get_value(self, key) File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexes\base.py", line 4389, in get_value raise e1 File "C:\Users\14753\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexes\base.py", line 4375, in get_value tz=getattr(series.dtype, 'tz', None)) File "pandas_libs\index.pyx", line 81, in pandas._libs.index.IndexEngine.get_value File "pandas_libs\index.pyx", line 89, in pandas._libs.index.IndexEngine.get_value File "pandas_libs\index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc File "pandas_libs\hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas_libs\hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 'EMA'

Now i'm getting a different error. I have seen your past resolved code, but I don't quite understand.

[hoakbuilds]

You need to calculate the EMA yourself, something like this would do

from talib.abstract import *
data['EMA'] = EMA(data, field="close")
data['RSI'] = RSI(data, field="close")

filtered_df = data[data['RSI'].notnull()]
filtered_df = data[data['EMA'].notnull()]    

And then use filtered_df as the data input

[BariyaZ]

You need to change in features , Try using X1,X2 instead of EMA,SSO i.e features=["X1", "X2"]