Yeah, I took a lookat the financials and it was even more shocking than I thought it would be. I really thought it was a joke reading through. I saved the chart and the financials as a potential teaching lesson in the future.
Not sure wtf is going on with this MDBX. I looked it up and I am trying to figure out what could possibly make sense there.
Not sure wtf is going on with this MDBX. I looked it up and I am trying to figure out what could possibly make sense there.
It doesn’t have to make sense, the market is overflowing with fraud these days.
I see this stock is traded on the OTC markets.
I am quite unfamiliar with OTC stocks. Is it like the OTC bond markets, i.e. the prices are reported prices or quotes from dealers ?
This thread is awesome, great info!
How did the Oakland A’s find an edge when so many teams had their 30-man squads of “professional recruiters” making calls and everyone had access to the same data?
They simply found new ways and new emphasises on how to view the data.
The A’s won one playoff series during the whole moneyball era.
Nice info. Not really into the whole trading game. and short sellign really doesnt make sense to me even at overvalued levels, cuz shit can remain overvalued far longer than you can remain short. paraphrased some bsd. but the most important thing to remember when you calculate intrinsic value, the first 5 year projected cash flow is really a small part of it. Most people in the industry try to project 1-5 years away and when there is a quarterly or yearly miss they downgrade the stock and sell it. Best way to determine what to buy is to read the conference call trasncripts to determine if the miss is a short term or long term problem. Short term problems are buys.
I have some of the same thoughts as you CvM. However, I wouldn’t be too concerned with the HFT shops, because a 1/2 cent difference on a buy and a sell doesn’t really affect people with holding periods measured in months and years, except for the flash-crash type risk.
Other algorithms and computer screening probably does mean that there are far fewer “fat pitches” than there were 20 years ago, but that doesn’t necessarily mean that there aren’t some good pitches worth striking at. There are still aspects of human behavior that computers can’t quite sniff out yet. Maybe one day those will disappear too.
It seems to me that what one has to find are mistakes in fundamental valuation that pass under the radar of most analysts. Computers are going to use formulas to calculate fundamental variables and they likely won’t catch the subtlties of the competitive context or changing demand, except indirectly through mass trading behavior. If misconceptions about fundamentals persist, they won’t be observable in price behavior, which means that it will be hard for a computer to spot it unless it is very specifically tuned to look for that. A human is still more adaptable than a computer to a wide variety of contexts, and that may change one day, but that day isn’t here yet.
So my sense is that it is getting more difficult, but opportunities are still out there, in part because of herding behavior, and in part because human beings don’t buy and sell based on the rationality of a computer. Whether it makes sense to play this game vs index and produce a genuinely valuable service in another industry is a separate question.
Curious to hear Bromion’s take on this.
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In the stock market, the one-eyed man is king.