"sleep 3 seconds and retrying.." warning when connecting to Alpaca paper account and not hitting limit

[talbot09]

Algo runs fine when during backtest (is_live=False in code below), but get the warning

WARNING:alpaca_trade_api.rest:sleep 3 seconds and retrying https://paper-api.alpaca.markets/v2/account 3 more time(s)...

when trying to run algo on Alpaca paper account during live trading hours (is_live=True). I don't think I'm hitting anywhere near the limit of 200 requests/min for Alpaca. Read through the following 2 threads and solutions didn't help:

1. https://community.backtrader.com/topic/2693/timeframe-days-works-but-timeframe-minutes-doesn-t/20?page=1
2. https://forum.alpaca.markets/t/lagging-and-dropping-connections/714

import alpaca_backtrader_api
import backtrader as bt
import pandas as pd
from datetime import datetime
from alpaca_strategies import MAcrossover

from dotenv import load_dotenv
import os
load_dotenv()

stock = 'AAPL'
is_live = True

api_key = os.getenv('API_KEY_ID')
api_secret = os.getenv('API_SECRET')
alpaca_paper = os.getenv('ALPACA_PAPER')

cerebro = bt.Cerebro()
cerebro.addstrategy(MAcrossover)

cerebro.addsizer(bt.sizers.SizerFix, stake=10)

store = alpaca_backtrader_api.AlpacaStore(
    key_id=api_key,
    secret_key=api_secret,
    paper=alpaca_paper
)

DataFactory = store.getdata  # or use alpaca_backtrader_api.AlpacaData

if is_live:
    broker = store.getbroker()
    cerebro.setbroker(broker)
    data0 = DataFactory(
        dataname=stock,
        timeframe=bt.TimeFrame.TFrame("Minutes"),
    )
else:
    cerebro.broker.setcash(27000)
    cerebro.broker.setcommission(commission=0.0)
    data0 = DataFactory(
        dataname=stock,
        timeframe=bt.TimeFrame.TFrame("Minutes"),
        fromdate=pd.Timestamp('2021-01-13'),
        todate=pd.Timestamp('2021-01-14'),
        historical=True)
cerebro.adddata(data0)

start_portfolio_value = cerebro.broker.getvalue()
print('Starting Portfolio Value: %.2f' % start_portfolio_value)
cerebro.run()
end_portfolio_value = cerebro.broker.getvalue()
pnl = end_portfolio_value - start_portfolio_value
print('Final Portfolio Value: %.2f' % end_portfolio_value)
print(f'PnL: {pnl:.2f}')
cerebro.plot()

Can also show code for strategy if that helps--I'm still learning and it's from a tutorial. Want to check if the front end has any errors first.