MarketRhymes by Edward Markets

Trading & Fascinating Ideas. Often in Doubt, Sometimes Right. Price is everything. BLOG.ROOSTER360.COM

$ABT $CELG $GILD in 60 seconds; A viable trend resume for Bio/Pharma?

$ABT $CELG $GILD in 60 seconds; A viable trend resume for Bio/Pharma?

Here I present 3 life science/pharma tickers with decent price action.

Up close, at least “close” for me, on a 30 day time scale, things look messy, particularly for CELG and a little bit less so for GILD but I wanted to show with longer time frames, you can see things either “smooth” out or look less dicey on the long side for a…

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fastcompany:

The problem with wearables is that usually people stop wearing them. According to one recent report, one-third of users of activity-tracking wearables, like the Fitbit and the Jawbone, toss their devices aside after just six months.
To overcome this, a small cadre of companies has been furiously working to develop smaller, sleeker, more discreet devices that monitor health and wellness—in the form of temporary tattoos, band-aids, and ingestible pills.

Read More>

fastcompany:

The problem with wearables is that usually people stop wearing them. According to one recent report, one-third of users of activity-tracking wearables, like the Fitbit and the Jawbone, toss their devices aside after just six months.

To overcome this, a small cadre of companies has been furiously working to develop smaller, sleeker, more discreet devices that monitor health and wellness—in the form of temporary tattoos, band-aids, and ingestible pills.

image

Read More>

fastcompany:

New predictive analytics are making Moneyball look obsolete.
At a workshop during the GigaOm Structure conference, Hensberger shared his next-level data crunching and the academic paper his team prepared for the MIT Sloan Sports Analytics Conference. His team modeled MLB data to show with 74.5% accuracy what a pitcher is going to throw—and when.
Read More>

fastcompany:

New predictive analytics are making Moneyball look obsolete.

At a workshop during the GigaOm Structure conference, Hensberger shared his next-level data crunching and the academic paper his team prepared for the MIT Sloan Sports Analytics Conference. His team modeled MLB data to show with 74.5% accuracy what a pitcher is going to throw—and when.

Read More>

wolfliving:

*My word, that’s impressively bleak.  At last: cranky Internet conservatives exalting the good-old-days.

wolfliving:

*My word, that’s impressively bleak.  At last: cranky Internet conservatives exalting the good-old-days.

(via futurescope)