I mean if you’re going to write algos that trade the first thing you should do is check whether they were successful on historical data. This is an interesting data point.

Market impact shouldn’t be considered when you’re talking about trading S&P stocks with $100k.

Historical data is useful for validation, don't develop algos against it, test hypotheses until you've biased your data, then move on to something productive for society