Using Conditional Probabilities To Gain A Trading Edge
Much of trading can be broken down as
conditional probabilities. And there’s a distinct benefit in
understanding what is likely to happen if some condition (or set of
conditions) is true or not.
Build Alpha: For
example, is tomorrow more or less likely to close higher if we are
above the 200 day moving average or below the 200 day moving average?
However, there has been much talk about
seasonality as we approach summer trading. For that reason, I would like
to share some simple graphs showing how the big stocks and ETFs fair on
each day of the week. In other words, do certain stocks or ETFs perform
better on certain days of the week or is day of the week
meaningless/random?
BuildAlpha: We
have all heard about “Turnaround Tuesday” for the S&P500, right?
How about buying Gold on Friday ahead of the weekend? Let’s see if these
market axioms are true (they are).
Below are charts showing the gains achieved on each day of the week for each stock and ETF listed below.
CHARTS: Conditional Probabilities by Day of Week
This is simple information that can help
ease some stress or provide some additional edge in your trading or
investment allocations. Looking to buy FaceBook? Maybe wait until
Wednesday? The main point I always try to make is that it is important
to know these “conditions” that lead to higher probabilities of success.
These conditions can be found through testing and historical research
and can provide slight edges against those that do not understand these
nuances.
Over at Build Alpha, we
have tools that can help those with no programming capabilities do
large scale testing – it is time to level the playing field.
Comments
Post a Comment