I am beginning to form a theory of a certain psychology of markets.
One thing that I have noticed is that news sometimes lags markets, and sometimes leads it. Knowing which regime we are in could be very important, as markets are some sort of hyper-evolutionary environment in constant change, and anything that helps map out a strategy of action for different regimes helps.
Here is my proposition, that when data leads the markets, we stay in ranges, and when not, we have trends. That may not seem like much of an insight (even if true), but think about how it could help in trading volatility or options in general, for example. Keep track of it over the years, and if it works more often than not, it can enrich our understanding of price dynamics.
Technical support/resistance levels become more important in ranges, and less important during trends [?]. Another interesting insight [that would follow if the above is true] is that somehow, options are more valuable in news generating environment. It would be interesting to also do a study on how skew dynamics change as a result. Does skew lead or lag this environment, etc...Is skew efficient in the face of regime changes? How fast does it adjust?
The FED has made it easier for us to become better traders, because by making interest rates zero, we can finally see markets react with one parameter frozen (shifting the uncertainty to inflation did not happen). Then as that parameter is again allowed to fluctuate, we can see price dynamics mix and complicate again. The last two years may be the most educational market environment ever.