Widespread Augmented Reality

Widespread Augmented Reality
Click on the image to get the Android Augmented Reality Heads up Display

Wednesday, April 21, 2021

WISH Share Price and the FOMO rally

 

Short sellers have been pounding this stock for 2 months, and folks waiting for a $10 floor may fuel a FOMO (fear of missing out) rally given that Amazon reportedly tried to buy WISH in 2015 for $10 billion in cash.
I estimate that to be around $13 a share and that was before WISH demonstrated 30% annual growth. Moreover, WISH is listed as an Advertising and Marketing company, not retail. Their big data on untapped markets is worth big money.
 
Recent news:
 

Friday, April 16, 2021

Wish Shopping and Big Data

We all know the saying that if an on-line product is free, then you are the product.  Isn't that what is really going on with the mobile app Wish?  

People talk about low quality, freaky products and slow shipping but are apparently still willing to accept risks and buy at ridiculously cheap prices providing Wish with 2.5 billion dollars in annual revenue.

Who are these people buying on Wish?   

Where do they live, how old, how many family members, how many friends, where do they go, how much do they buy, how often and what do they click on?

Since Wish is reportedly the most downloaded shopping application worldwide and the number 3 United States e-commerce market place, I'd bet that there are plenty of folks who would like access to their treasure trove of data.

I like my butterfly knives, brass knuckles and garish watches, so I am not only a satisfied Wish customer but also an investor, who by necessity must remain patient with shares purchased at $19.

Wish is now $12 a share. Will it go to $0? Who knows?  But 5 years ago,  Amazon tried to purchase Wish for 10 Billion.  With 735 million shares outstanding, that comes to $13.60 a share 5 years ago before they demonstrated 31% yearly growth.

Playing the long game, I am holding my shares and will have to find some other way to pay rent in the meantime.



Sunday, April 11, 2021

5G, Mobile Apps and Google's WebView

The goals of any self respecting industry are to increase sales, reduce production costs, and eliminate the need for customer support.  5G or the public perception of 5G can hit all three.

5G should render mobile hardware less significant, because most of the data processing can be done on the cloud also known as the web.  In the early stages of smart phones, mobile apps asynchronously downloaded data for processing, because internet speeds were not practical for transferring data back and forth from the internet server.

As internet speeds approach zero latency with 5G, mobile apps should be able to receive web data at acceptable speeds.  As a result, personal phone and PC hardware will become less relevant and save a lot of headache for manufacturers and retailers.  Personal computer and phone retail sales operate on relatively slim margins and with lousy customer support options (try contacting your vendor for help).  Personal experience at ground level retail led me to this conclusion but some may disagree.

Nevertheless, promoting the promise of 5G, the personal computing industry can drive sales with cheaper devices and centralize support by moving the processing hardware to the cloud or web.

Moreover, software development costs can be reduced by combining mobile and web development with the enhancement of Google's mobile Webview layout. This application can make internet browser data match the look and feel of the overall mobile UI (user interface).

As the developer of W.A.R., I have begun to rethink presenting the Webview UI directly from my web server where phone specific hardware like the GPS, accelerometer, magnetometer and camera are not needed.

So far this has greatly reduced development time, as I do not have to worry about background threads and memory management when I simply want to display a list of data points that will likely not change as result of the phone's hardware sensors.

For example, this page is both web and mobile friendly. http://spideronfire.com/commenttags.php.

Enter the handle "s33me".


 


Saturday, April 10, 2021

Machine Learning

 https://www.ibm.com/cloud/learn/machine-learning

 

I am backing up all my Python scripts that attempted machine learning algorithms against options data downloaded from the CBOE.  At some point the results seemed to generate profit; however, I have since concluded that my success was more luck than science.