I am working on a little project here. The basic issue is: how useful are these patterns?
Overview: I am defining a bearish engulfing reversal as the current open being greater than the previous close, and the current close less than the previous open. I am only considering these in markets where current prices are in a trend higher, and the previous day was an up day. I am posting this in hopes that someone will check my process in coming to my conclusions.
What I have so far:
The bearish engulfing reversal:
I am not sure what I am doing wrong... or if I am doing anything wrong.
It seems possible that the pattern would win 63% of the time, but is it really possible that on any random trading day, there is a 63% chance of the market trading lower by one standard deviation? This would mean that the pattern is totally, 100% useless, and that other comparable patterns are also 100%, totally useless. Futher more, it may be a reasonable strategy to short sell any random stock on any random day with a limit to exit the trade after the market trades lower by one standard deviation...
In a standard normal distribution, 68.3% of the observations will be within one standard deviation of the mean.... is the short term stock market just a standard normal distribution?
Attached is the Excel Logic for my tests, right click and "Save As" to download.
Thanks for your time...
Overview: I am defining a bearish engulfing reversal as the current open being greater than the previous close, and the current close less than the previous open. I am only considering these in markets where current prices are in a trend higher, and the previous day was an up day. I am posting this in hopes that someone will check my process in coming to my conclusions.
What I have so far:
The bearish engulfing reversal:
Filter for bullish trend condition: the current closing price is greater than the trailing 15SMA of closing price
The previous day was an up day
Current open greater than previous close
Current close less than previous open
If the lowest price over the next ten trading days is lower than the close of the engulfing reversal day by one standard deviation (trailing ten day.)
- A non winning engulfing reversal is one which does not meet this condition
According to these metrics, the pattern wins 63% of the time
This is over 515 instances of the pattern in a handful of different stocks.
Therefore about 324 of these instances were profitable.
The logic defined above for a winning position gives similar results over all of the data points... implying that the engulfing reversal is not any different from any other random trading day.
I am not sure what I am doing wrong... or if I am doing anything wrong.
It seems possible that the pattern would win 63% of the time, but is it really possible that on any random trading day, there is a 63% chance of the market trading lower by one standard deviation? This would mean that the pattern is totally, 100% useless, and that other comparable patterns are also 100%, totally useless. Futher more, it may be a reasonable strategy to short sell any random stock on any random day with a limit to exit the trade after the market trades lower by one standard deviation...
In a standard normal distribution, 68.3% of the observations will be within one standard deviation of the mean.... is the short term stock market just a standard normal distribution?
Attached is the Excel Logic for my tests, right click and "Save As" to download.
Thanks for your time...
