Yesterday, at the end of @dbongino's pod...he talked about creating a "parallel economy."

has anyone covering the Wall Street GME reaping and sowing gone into the fact that a lot of the GameStop and directly associated trades have been largely amplified by social listening powered mega firms doing machine learning automated trades because the “idea” of GME is popular?

like I thought this was a thing investor people & press just knew & instead it’s all just focused on the message of redditors clowning short sellers and not “the computers saw the infinite monkeys on infinite typewriters and decided That Would Be A Cool Thing To Emulate” for $$$

for those new: finance social listening is a marketing “science” that involves advanced web & social network data collectors scraping everything for nuance on companies, purchasing behavior & language, investor & finance sentiment, etc & using it to make billions of trades for $$

Musk & his core investor clique is notorious for doing this as are some other big hedge firms & finance firms - you take the raw off Bloomberg Terminal, Superdata, public social networks and headlines etc etc, machine learning the fuck out of it, collect money. A hype machine.

This has been going on for about 8 years but only got popular & competitive in the past 2, when firms realized the machines could do a better job with these data flows in setting up short term shorts & holds vs people - & they could also “game” media to effect other hype machines

Occupational #wearables for monitoring low back load have potential to improve ergonomic assessments & enable personalized, continuous monitoring of overexertion injury risk in the workplace.
#biomechanics #ergonomics

Encouraged by what we

We wanted to know: if we can only use a small number of wearable sensors to monitor low back loading, then which sensors should we use, where should we place them, what type of algorithm should we employ, & how accurately can we monitor back loading during material handling?

2/

Little history of QFS

Let’s put all this Woo Woo stuff aside and find out what the QFS has been doing over the last two years or so. It has been very busy.

Those involved in using this computer have learned how to “connect” into the archaic Central Bank computer(s) system. Through the SWIFT transfer protocol used by the Central Banks (CB),/2

the QFS has obtained account information from every Tier 1 bank account in every bank in the world that is linked to the SWIFT transfer system./3

It has also obtained info for 2nd tier and 3rd tier banks that don’t have their own SWIFT transfer codes and use Tier 1 banks to service their customer’s transfer requests. Tier 2 &3 banks have accounts in Tier 1 banks that are used to transfer money./4

With this information, the QFS was integrated into the SWIFT transfer system and programmed it to where each transfer is channeled through the QFS to record transfer data. The data is then inserted back into the SWIFT system to complete the transfer to the intended bank account.5

1. Ok, so most people have a vague sense of frustration that the last Dem administration didn't do enough on the economy. But it's still just a vague sense. So my org wrote a report showing in detail, industry sector-by-sector, what policymakers did wrong.

2. We also wrote one pager descriptions of every sector. For instance, in media and telecommunications, there were multiple massive mergers (Comcast-NBC, Disney's roll-up, Charter-Time Warner).

3. Consequences were bad. The median weekly compensation of writer-producers on television and online series declined 23 percent between 2014 and 2016 despite record profits in the industry and peak demand for programming.

4. Health care, consolidation was bad. "From 2010 to 2015, Sanofi, Novo Nordisk, and Eli Lilly raised their insulin prices by 168 percent, 169 percent, and 325 percent, respectively; the three are essentially the only manufacturers of insulin in the U.S."


5. Newspapers, same story. Since 2005, America has lost 2,100 newspapers, one fourth of its total, leaving 1,800 communities without any local news coverage whatsoever.

Thread - How to spot a potential multibagger

Multiple fundamental parameters however we cannot be rigid on any of these parameters.

Be flexible to interpret things from bigger picture point of view.

Input 1 ~ No doubt on business survival

Come whatever event (health crisis, economic bubbles, economic recessions, political events, etc.), there should not be any doubt on business survival.

Earlier it used to be only food companies into this category, but now there are many.

Input 2 ~ Visible & sustainable growth potential

At any point of time, we can think with a certain common sense approach that if management wants, there can be a sustainable growth at any point of time.

Obviously this growth may come thru innovation, optimization, etc.

Input 3 ~ Management has vision towards growth

Management should be forward looking, should be able to read into future to build right growth avenues, should be considerate towards every stakeholder.

In addition management should be ethical & should have good social image too.

Input 4 ~ Promoter stake

There should be a reasonable skin in the game from promoter.

If in case there is a low promoter stake, then promoter should increase stake at every possible opportunity.

Also pledging should either be zero or minimal.