Very interesting. I looked at stability in learning agents in artificial markets back in the late 90s for my PhD and concluded that at least the systems I worked with weren't stable - they were prone to bubbles and crashes.

Very interesting to see that there is a class of stable systems that force high prices.

Would be interesting to understand if the no swap regret systems studied also give stable results when it is an N player game rather than a 2 player game