First of all, you likely want to do some additional model validation, including an out of sample test, to ensure that your method for finding AR baskets is not just overfitting to noise in price data.
AR is such a core statistical building block that I'm not sure there is a go to way to trade it, it's more in how you might build a model that takes advantage of the autocorrelation. What does autocorrelation tell us? It tells us that future values of the series are more likely to be closer to the current value, and it's not just totally randomly chosen. It also makes a mean reversion trade less likely to work as mean reversion requires stationarity. AR also tells us that samples are not independent and therefore estimates of variance, p-values, standard errors, and CLT will be wrong. So already we've gained a large amount of information that may be valuable in constructing a model.
In practice I think AR behavior is more something people look to get rid of before applying other models, as the lack of independence breaks methods like linear regression and also p-values, like I mentioned. Directly trading on it may not be as feasible, but understanding how it might break other models is important.
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.