Someone recently posted Control Charts/Nelson Rules - finding non random data points within a random environment. I like this approach a lot. Does anyone want to share methods on how they determine probability parameters for entering a trade?
For instance, could one calculate the average range of a opening 30 minute bar every day, and further slice it by day of the week, etc. and say ok, it's Tuesday, the down bar is 1.5 X it's average range. With a minimal gap, I know there's a 60% chance the market will move this distance/direction...
OR
The 30 minute opening down bar is 1.5 X it's average. Because it formed in this specific way, I anticipate a 60% chance the next bar to only move 50% it's average range with a normal distribution around the opening bar's low.
A follow up question is then are past statistics significant enough to enter trades or just a supplement to manage trades.
As usual it's worth fighting off anyone chiming in to ridicule me in hopes of finding someone that genuinely wants to help. Thanks ET nation.
BD
For instance, could one calculate the average range of a opening 30 minute bar every day, and further slice it by day of the week, etc. and say ok, it's Tuesday, the down bar is 1.5 X it's average range. With a minimal gap, I know there's a 60% chance the market will move this distance/direction...
OR
The 30 minute opening down bar is 1.5 X it's average. Because it formed in this specific way, I anticipate a 60% chance the next bar to only move 50% it's average range with a normal distribution around the opening bar's low.
A follow up question is then are past statistics significant enough to enter trades or just a supplement to manage trades.
As usual it's worth fighting off anyone chiming in to ridicule me in hopes of finding someone that genuinely wants to help. Thanks ET nation.
BD