Errors with SmaCross

[Danz009]

I am new to coding python and this is my first day doing backtesting, here is my code and my .csv is attached I think. Any help would be much appreciated.

---

from backtesting import Backtest, Strategy
from backtesting.lib import crossover
from backtesting.test import SMA, GOOG
import pandas as pd
from datetime import datetime

df = pd.read_csv('Gold Futures OHLC.csv')
df = df.set_index('Date')
df.index = pd.to_datetime(df.index)

class SmaCross(Strategy):
    n1 = 13
    n2 = 21

def init(self):
    close = self.data.Close
    self.sma1 = self.I(SMA, close, self.n1)
    self.sma2 = self.I(SMA, close, self.n2)

def next(self):
    if crossover(self.sma1, self.sma2):
        self.buy()
    elif crossover(self.sma2, self.sma1):
        self.sell()

bt = Backtest(df, SmaCross,
              cash=100_000_000, commission=.002,
              exclusive_orders=True)

output = bt.run()
bt.plot()

---

And here is the response.

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C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\backtesting\test_init_.py:8: FutureWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.
return pd.read_csv(join(dirname(file), filename),
Traceback (most recent call last):
File "c:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\kernc-github.py", line 27, in
bt = Backtest(df, SmaCross,
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\backtesting\backtesting.py", line 1073, in init
if np.any(data['Close'] > cash):
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\pandas\core\ops\common.py", line 76, in new_method
return method(self, other)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\pandas\core\arraylike.py", line 56, in gt
return self._cmp_method(other, operator.gt)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\pandas\core\series.py", line 6119, in _cmp_method
res_values = ops.comparison_op(lvalues, rvalues, op)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\pandas\core\ops\array_ops.py", line 344, in comparison_op
res_values = comp_method_OBJECT_ARRAY(op, lvalues, rvalues)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\claym\Documents\GitHub\Python\Trading\Backtesting\venv\Lib\site-packages\pandas\core\ops\array_ops.py", line 129, in comp_method_OBJECT_ARRAY
result = libops.scalar_compare(x.ravel(), y, op)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "ops.pyx", line 107, in pandas._libs.ops.scalar_compare
TypeError: '>' not supported between instances of 'str' and 'int'

---

I can provide more clarification or upload more files if this is not enough information.

Gold Futures OHLC.csv

[Anzalone394]

hello

I reached out to you in order to have a better chat after seeing your article.
Are you still in need of assistance? If so, please let me know so that we may have a more in-depth conversation.
message me on discord: bushraa03

[crueltytanya]

In the data, try converting the values ​​to the data type float
Rename column "Vol." to "Volume"
cash can be specified like this cash=100000000