Higher resolutions aka lower timeframes have several uses:
HIgh res levels
1) For more precise entries past the positioned levels. You have a level on your current resolution, a level you want to use, let's call it "X". You turn in higher resolutions, and scale in around the levels there, past the X;
2) For precise entries during positioning. You have a level that you expect to be positioned 'that way', let's call it "Y". You turn in higher resolutions, and scale in around the levels there, past the Y. An example on the chart is exactly about that. Suppose we expected a 1M level (red line) to be positioned as support. We've opened 1W chart and scaled in at 1W levels below the level;
3) Overridden levels. Forgot to mention, just as overridden waves, overridden levels do exist. It really concerns an imaginary level called value aka fair price. Usually, when you have an overridden wave -> value level in the middle of this wave, the real levels around value exist only deep in higher resolutions, and are already cleared, long time ago. So, they kinda "reactivate" again inside an overridden wave, near the value;
4) For scaling out. When offloading risk, you don't want to do it at the levels that You, yourself, expect to be cleared xD. And that includes the levels from the high ress.
HIgh res waves
1) To fine tune the location of back levels. Positioning of a level on a given resolution is a so called pattern seen on higher resolutions. I can't say much about the predictive power of dem patterns, but can say for sure that fine tuning the back levels by finding boundaries of these patterns is a good idea;
2) Simply monitoring the action on higher resolutions gives information about what's happening around your levels of interest. Everything explained in "Current resolution" can be applied there.
You may come up with more uses. The main part is to understand what higher resolutions are: less data in greater detail. Now how would you leverage this info?
HIgh res levels
1) For more precise entries past the positioned levels. You have a level on your current resolution, a level you want to use, let's call it "X". You turn in higher resolutions, and scale in around the levels there, past the X;
2) For precise entries during positioning. You have a level that you expect to be positioned 'that way', let's call it "Y". You turn in higher resolutions, and scale in around the levels there, past the Y. An example on the chart is exactly about that. Suppose we expected a 1M level (red line) to be positioned as support. We've opened 1W chart and scaled in at 1W levels below the level;
3) Overridden levels. Forgot to mention, just as overridden waves, overridden levels do exist. It really concerns an imaginary level called value aka fair price. Usually, when you have an overridden wave -> value level in the middle of this wave, the real levels around value exist only deep in higher resolutions, and are already cleared, long time ago. So, they kinda "reactivate" again inside an overridden wave, near the value;
4) For scaling out. When offloading risk, you don't want to do it at the levels that You, yourself, expect to be cleared xD. And that includes the levels from the high ress.
HIgh res waves
1) To fine tune the location of back levels. Positioning of a level on a given resolution is a so called pattern seen on higher resolutions. I can't say much about the predictive power of dem patterns, but can say for sure that fine tuning the back levels by finding boundaries of these patterns is a good idea;
2) Simply monitoring the action on higher resolutions gives information about what's happening around your levels of interest. Everything explained in "Current resolution" can be applied there.
You may come up with more uses. The main part is to understand what higher resolutions are: less data in greater detail. Now how would you leverage this info?
