Quick note to those of you who make less than 100k per year, yet choose to shop at Louis Vuitton or Gucci: don’t do that. You look like a fucking jackass. Work on building up your net worth, prior to wasting it on homosexual fashion trends (hip-hop homos).
Back to the important matter of watching me improve upon the best investment tool ever invented for retail usage. I have a new tool in beta that is designed to improve efficiency of trades, during the famous OVERBOUGHT and OVERSOLD cycles. In other words, you see me post all of those PPT charts, with numbers on them, right? Well, those numbers represent “cycle changes.” Let me be more specific: when the Overall Hybrid score (which represents both fundamental+technical data of more than 4,200 stocks) flags OVERBOUGHT (score higher than 2.95), The PPT enters a new OVERBOUGHT cycle.
It gets better.
To date, there have been 16 OB cycles, excluding the current OB cycle. What this new tool does is track the price performance of all stocks during previous OB–>OS cycles. Get it?
With this data, I am able to truly utilize the algorithmic genius of The PPT, by way of revealing what stocks should be purchased or shorted with impunity—during said cycles. Then, on top of that, after I find a name, I can search individual OB/OS cycle stats to better understand how long it might take for the stock to get going.
Let’s use SPY as an example:
Stat |
OSOB |
OBOS |
Avg Return: |
2.44 |
-0.46 |
# Cycles |
16 |
16 |
# Win |
13 |
11 |
% Win |
81.25 |
68.75 |
Median % return |
2.83083 |
-0.497834 |
As you can see, The PPT OB/OS cycle change signals have been extraordinarily accurate, with an 81% win rate timing bottoms and 69% timing tops. Keep in mind, I can request this data for any stock or ETF, some with far greater efficiency than SPY. However, since SPY best represents the market, as a whole, I thought it only made sense to be totally transparent about how accurate PPT was at timing tops/bottoms.
Okay, let’s dig deeper. When the Overall Hybrid score flags “OVERSOLD” there is a better than average chance SPY will be OVERSOLD as well, since it tracks the overall market so closely. Looking at previous OVERSOLD signals for SPY, I know that it trades higher only 50% of the time after 1-3 days, for an average return of 0.6%. However, over a 5-7 day period, my chances for trading success sky rockets to 83%, with an average return of 2.9%.
What is the point in all of this?
Well, it’s important to put things in perspective when trading/investing. Time frames can shake people out of trades, due to the unknown. What I am trying to accomplish, by developing these tools, is to shine some light on how this market truly behaves during inflection points, might I add with great success. The data speaks for itself.
This tool is in beta, so it is not available for public consumption yet, as I am a perfectionist and need to add new features to it. However, when I do release it, it will be added free of charge to all users. That is one of the added bonuses of doing business with a stock market fanatic: I always endeavor to improve and do not require great sums of your money to do so, since I have my own. Thank you very much.
Oh, by the way, I see some of you tech savvy PPT subs trying to reverse engineer your way into this screen data. Needless to say, you have been defeated and are now blocked from viewing it.
Lastly, we are now in the process of adding deviation from mean/median avg. return data into the system.
For example:
During OB cycles, TNA trades lower 69% of the time for an median loss of 6.7%. However, during this current cycle, TNA is up 4.8%, effectively deviating from the median by 11.8%. This data can be mined across The PPT universe (by me only, for now) and is a great tool when trying to understand how overstretched or coiled back a security is, at a given time.
Okay, back to doing shots of patron, no chaser.
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