Do not forget about the last few slots for the Quant Elite membership. This means you get immediate 10+ years archive plus 3 another years on what I do in the future. See the many benefits here.
It amazes that the US government tried to make it sound like the majority of crypto currency/Bitcoin transaction are illicit. It amazes with this type of MIT study from MIT and IBM shows it could be as low as 2%. If that amount of transaction is in line with cash, maybe the USA government needs to ban their dollar as well.
The group’s study detailed how researchers at the MIT-IBM Watson AI Lab used machine learning software to analyze 203,769 bitcoin node transactions worth roughly $6 billion in total. The research explored whether artificial intelligence could assist current anti-money laundering (AML) procedures.
Only 2 percent of the 200,000 bitcoin transactions in the data set were deemed illicit as part of Eliptic’s initial work. While 21 percent were identified as lawful, the vast majority of the transactions, roughly 77 percent, remained unclassified. (To date, there have been an estimated 440 million bitcoin transactions since the network’s launch in 2009.)
To be clear, the 2 percent comes from an Elliptic data set that was previously not public and the figure was merely affirmed by the MIT researchers’ analysis. The data point is in line with a study from competing analytics firm Chainalysis, which estimated just 1 percent of bitcoin transactions in 2019 were known to be associated with illicit activity.
Do not forget about the last few slots for the Quant Elite membership. This means you get immediate 10+ years archive plus 3 another years on what I do in the future. See the many benefits here among research papers
An article appeared on Reddis called:
reproduced 130+ research papers about “predicting the stock market”,
coded them from scratch and recorded the results. Here’s what I’ve learnt.
This article was removed but the results were simplicity
rules. There a bunch of research papers that were built on hype while the real
result was based on simplicity. The author also said that short term mean
reverting instrument was most consistent. Then the negative comments were
posted where the author was accused of some crypto scam. I will let you read
the comments here
Does this conclusion of optimal strategy sound correct?
Do not forget about the last few slots for the Quant Elite
membership. This means you get immediate 10+ years archive plus 3 another years
on what I do in the future. See the many benefits here.
What is the difference between quant vs actuary? Below is a video of this
but see the description:
A lot of people have been asking
what is the difference between Quants and Actuaries. Some have tried claiming
one is nested inside of the other curriculum however this is wrong. In simple
terms, quants are very focused in derivatives, financial risk management, and
statistical arbitrage with heavy focus on programming as well. They require a
minimum of a Masters (1-2 yrs) but prefer a PhD (5-7 yrs). Actuaries specialize
in the insurance, pension, and health care industry with a broad range of
topics covered including statistics, probability, finance, economics, and
financial mathematics. It is very hard to jump from one (quant or actuary) to
the other. Actuaries require exams which prevent quants from entering their
industry. Quants require a Masters or PhD and prefer specific majors over
others which prevents actuaries from entering the quant realm. Yes, there are
people who go from one to the other but it is not very common due to the
Do not forget about the last few slots for the Quant Elite membership. This means you get immediate 10+ years archive plus 3 another years on what I do in the future. See the many benefits here as deep reinforcement learning.
Some may start doubting machine learning techniques like
Deep Learning or Deep Reinforcement Learning. If you consider Google’s Deep
Mind losing $572 million a year, many hope for the future of Artificial Intelligence
will falter like this.
Ten years from now we will conclude that deep reinforcement learning was
overrated in the late 2010s, and that many other important research avenues
were neglected. Every dollar invested in reinforcement learning is a dollar not
invested somewhere else, at a time when, for example, insights from the human
cognitive sciences might yield valuable clues. Researchers in machine learning
now often ask, “How can machines optimize complex problems using massive
amounts of data?” We might also ask, “How do children acquire language and come
to understand the world, using less power and data than current AI systems do?”
If we spent more time, money, and energy on the latter question than the
former, we might get to artificial general intelligence a lot sooner.
Could you link the relationship VIX futures with negative stock performance?
This article become popular on my Facebook which you should read. The VIX futures is a popular pick! The title was:
Options traders bet on even more volatility flooding the market
I saw that the VIX was building faster than gold and Bitcoin a few days
ago. The markets may have settled down in the last few days, but you cannot
ignore this is the next big instrument to move up. Here are some article
happens is, when you see a lot of volatility the VIX curve actually ends up in
backwardation. Spot VIX will end up even higher [than the futures],” Khouw
said. “So, a bet that that future rises above 30 is a bet that something
pretty wild is going on in the marketplace.”
VIX futures climb above 30? It’s tough to predict. However, with a few more
days of wild swings in the market, they could move higher very quickly. The
more likely scenario is that this trader is looking for the VIX to climb into
the mid-20s over the next week of trading so they can sell these contracts at a
VIX was down Thursday, while VIX futures were slightly higher.
you trade futures? Is this one instrument you would be interested in trading ?
P.S Don’t forget that my webinar tomorrow will cancelled tomorrow. It will
resume next Monday Aug 26.
I demonstrate on how to use a Office Outlook to trigger an entry for Metatrader 4/MT4/MQL4. This a new way to automatically trigger market entries for MT 4 with the new Expert Advisor (EA). This will be automatically be part of the new Quant Analytics service. This can be done for any person who knows Office with no programming knowledge needed.
Note that this is the first version so I will post a better tutorial video on how to make this happen. This is just for demonstration purposes to show you that this can be done on Windows with Outlook, and adding with Metatrader 4.
I got a few wierd popups in my LibreOffice Text Editor. As a result, I will dump it to switch back to Microsoft Office 365. Sometimes I hate my life for contradicting my stance on stuff because of unpredictable events like this