[Python] Python Backtrader RSI ZeroDivisionError: float division by zero

import backtrader as bt
import pandas as pd

# Load data
file_path = r'C:\forex\python\data\EURUSD1min-v2.xlsx'
data = pd.read_excel(file_path)

# Handle date and time in separate columns
data['Datetime'] = pd.to_datetime(data['Datetime'], format='%Y.%m.%d. %H:%M')
data.set_index('Datetime', inplace=True)

print("Data loaded, total entries:", len(data))

# Backtrader data format
class PandasData(bt.feeds.PandasData):
params = (
('datetime', None),
('open', '<OPEN>'),
('high', '<HIGH>'),
('low', '<LOW>'),
('close', '<CLOSE>'),
('volume', None),
('openinterest', None),
)

# RSI-based strategy
class RSIStrategy(bt.Strategy):
params = (
('rsi_period', 14),
('rsi_upper', 70),
('rsi_lower', 30),
)

def __init__(self):
self.rsi = bt.indicators.RSI_SMA(self.data.close, period=self.params.rsi_period)
print("RSI indicator initialized.")

def next(self):
if len(self.data.close) < self.params.rsi_period:
print("Not enough data for RSI calculation.")
return

current_rsi = self.rsi[0]
current_close = self.data.close[0]

if pd.isna(current_rsi) or current_rsi == 0:
print("Invalid or zero RSI:", current_rsi)
return

print(f"Close: {current_close}, RSI: {current_rsi}")

# Load data into Backtrader
data_feed = PandasData(dataname=data)
print("Data converted to Backtrader format.")

# Create Backtrader cerebro and add strategy
cerebro = bt.Cerebro()
cerebro.adddata(data_feed)
cerebro.addstrategy(RSIStrategy)
print("Strategy added to Cerebro.")

# Run the strategy
cerebro.run()
print("Execution finished.")


When the program runs, (AT RSI initialization) it encounters the error message ZeroDivisionError: float division by zero

The data is correct, beginning with RSI. What can the problem be? I tried many things, debug, log. But the log inside RSI also didn't work, so the problem lies somewhere with RSI.

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