Is 999 the maximum amount of rows in pandas dataframe?

I'm trying to make a crypto trading bot in python, and i collect historical data (prices and stuff) with the library called ccxt, and store it in pandas dataframe. When i try to store more than 999 rows, i get the error shown below (KeyError: 999). Basically it won't let me store more than 999 rows. Is there any way to get more then 999 data in pandas dataframe?

The code is pretty large, but here are some snippets:

Data frame build:

exchange = ccxt.binance()
bars = exchange.fetch_ohlcv(pair_to_trade, timeframe=timeframe, limit=amount_of_timeframe)
df = pd.DataFrame(bars[:-1], columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])

Last_row_index:

 for i in range(1, amount_of_timeframe-1):  # where amount_of_timeframe > 1000
        last_row_index = i
        previous_row_index = last_row_index - 1

Data frame looks like this:

              timestamp     open     high  ...    upperband    lowerband  in_uptrend
0   2021-09-05 16:27:00  3913.51  3914.97  ...          NaN          NaN        True
1   2021-09-05 16:28:00  3914.04  3914.22  ...          NaN          NaN        True
2   2021-09-05 16:29:00  3910.01  3912.00  ...          NaN          NaN        True
3   2021-09-05 16:30:00  3911.84  3911.85  ...          NaN          NaN        True
...
995 2021-09-06 09:02:00  3956.10  3956.36  ...  3967.517857  3942.412143       False
996 2021-09-06 09:03:00  3954.32  3954.32  ...  3964.035000  3941.775000       False
997 2021-09-06 09:04:00  3951.52  3955.85  ...  3964.035000  3941.610714       False
998 2021-09-06 09:05:00  3955.58  3955.58  ...  3964.035000  3943.252857       False

Error:

File "D:/myfolders/supertrendStrategy/main.py", line 105, in testStrategy
    if not stdf['in_uptrend'][previous_row_index] and stdf['in_uptrend'][last_row_index]:
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\series.py", line 882, in __getitem__
    return self._get_value(key)
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\series.py", line 989, in _get_value
    loc = self.index.get_loc(label)
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\range.py", line 357, in get_loc
    raise KeyError(key) from err
KeyError: 999

Solution

ccxt.binance() won't let you fetch more than 1000 candles. Try another API, that works with bigger data