Skip to main content

Intraday Watch List for Tuesday, July 21st...

Yesterday was a typical summer day in the markets where there was little activity and it was hard to make money.  However, quite a few names from yesterday's list did very well (GPRO, TSLA, MNST, IOC, SSYS)... as always, there were a few that fared poorly too.

One big thing that I've noticed helps me (and that I've gotten away from lately), is practicing chart reading.  Check out the website http://www.chartarcade.com/ it's a great way to practice and I have noticed a correlation in my performance and the number of days I dedicate 10 to 15 minutes practicing on this site.

One note, a lot of energy names are overextended to the downside so I've taken them off my watch list.

TREND Picks -- long term trends with low variance to moving averages

LONGS
GS
GPN
GILD
EXPE
UNH
TIF

SHORTS
RAX
FOSL
SNDK
TWTR
WYNN
STX
VIPS
CVX


BREAKOUT Picks -- momentum names

LONGS
ATVI
TSLA
BMY
MNST
AAPL
MA
GME
VLO
GPRO
SGEN
INCY

SHORTS
ACM
CREE
WDC
BITA
APC
SPWR
XOM
SSYS
FSLR
APD
DISH
FEYE
Z


REVERSION Picks -- names exhibiting large variances from moving averages and typically losing the momentum that got them to elevated levels

SHORTS
PANW
IBB
ALK 

Comments

Post a Comment

Popular posts from this blog

Modeling Credit Risk...

     Here's a link to a presentation I gave back in August on modeling credit risk.  If anyone would like a copy of the slides, go ahead and drop me a line... https://www.gotostage.com/channel/39b3bd2dd467480a8200e7468c765143/recording/37684fe4e655449f9b473ec796241567/watch      Timeline of the presentation: Presentation Begins:                                                                0:58:00 Logistic Regression:                                     ...
Post a Comment
Read more

Modeling Black-Litterman; Part 1 - Reverse Optimization

  "The 'radical' of one century is the 'conservative' of the next." -Mark Twain In this series, I'm going to explore some of the advances in portfolio management, construction, and modeling since the advent of Harry Markowitz's Nobel Prize winning Modern Portfolio Theory (MPT) in 1952. MPT's mean-variance optimization approach shaped theoretical asset allocation models for decades after its introduction.  However, the theory failed to become an accepted industry practice, so we'll explore why that is and what advances have developed in recent years to address the shortcomings of the original model. The Problems with Markowitz For the purpose of illustrating the benefits of diversification in a simple two-asset portfolio, Markowitz's model was a useful tool in producing optimal weights at each level of assumed risk to create efficient portfolios.   However, in reality, investment portfolios are complex and composed of large numbers of holdin...
Post a Comment
Read more

Variable Types for Principal Component & Factor Modeling

TRANSFORMING RAW DATA INTO INSIGHT & ACTIONABLE INFORMATION After reading the book Moneyball for the first time, I built a factor model in hopes of finding a way to finally be competitive in my fantasy baseball league - which I had consistently been terrible at.  It worked immediately.  By taking raw data and turning it into actionable information, I was able to solve a problem that had long perplexed me.  It was like discovering a new power.  What else could I do with this? Today, I build models for everything and have come a long way since that first simple spreadsheet but still use a lot of the same concepts. To build a traditional factor model, you would regress a dependent variable against a series of independent variables and use the resulting beta coefficients as the factor weights... assuming your resulting r-squared and t-test showed a meaningful relationship of course. Variables typically fall into one of two categories... continuous or dichotomous....
Post a Comment
Read more