You seem to be confused between descriptive, predictive, and explanatory models. TA is not predictive. It can't help you anticipate the future. If it was, yo

You seem to be confused between descriptive, predictive, and explanatory models. TA is not predictive. It can't help you anticipate the future. If it was, you could make consistent profits by using it, and no one has. If it's right, it's just as often wrong, in which case it's no better than a coin toss or throwing bones or reading tea leaves. It's not explanatory. It provides no hypotheses for why the market behaves in certain ways. If it did it might have some hope of being predictive, but alas, as I already mentioned, it's not. And thus it can't teach us anything about market behaviours or their underlying causes. TA might reasonably be thought of as descriptive, in that it gives a (voodoo) framework for describing observed market behaviours. As you say, we might observe the market is more volatile in the fall. But because it offers no explanatory power, we have no way to know why, and since it has no predictive power, it can't tell us if next year will be the same as this year. You're simply expected to believe that, well, it's always been that way, so I'll assume the future will be the same as the past. As a result, it's frankly not that useful or interesting.