Johhny's correct, you can get both daily and minutely history data in minute-mode backtesting.
Here's an example:
prices = history(2, '1d', 'price') # yesterday's close price and the price last minute
yesterday_price = prices.iloc[-2] # only get yesterday's close price
This can be further expanded to compare prices from different days:
five_day_prices = history(6, '1d', 'price') #close prices from last 5 days and price from the last minute
price_three_days_ago = five_day_prices.iloc[-4]
price_yesterday = five_day_prices.iloc[-2]
price_last_minute = five_day_prices.iloc[-1]
Take a look at the history documentation, it gives some more examples. History() returns a pandas dataframe, which can be easily sliced and indexed. To learn more here's the pandas documentation.
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