Tag Archives: AI, enhanced version replaces Shadow Banning

Apr 9 2018

Currency Based v Credit Based Monetary System


Armstrong Economics Blog/Economics

Re-Posted Apr 9, 2018 by Martin Armstrong

Economic Theory

QUESTION: Hi Mr. Armstrong. Impressive work you do. I have followed you closely since I watch your documentary and your predictions have mostly been spot on.

I was wondering if you perhaps could share some thoughts on the increasing US budget deficit while employment etc is at multi-year low. This is rare and would someday crash and burn I guess.

EL

ANSWER: I fully understand that the prevailing belief concerning economic theory is that an increase in money supply will cause inflation. There is absolutely NO EMPIRICAL evidence to support that theory. Much of this concept has been distorted by the ideas of Sir Thomas Gresham (1518-1579) who is famous for his Gresham’s Law that bad money drives out good. He was more than just an early observer of finance. Gresham was England’s agent in the Low Countries where he negotiated loans with the bankers on behalf of England. The repayment of their sovereign loans and interest owed by England caused exchange fluctuations and markets began to trade showing the swings in confidence in the various sovereign debts.

Gresham attempted to smooth out the market fluctuations without success. He advocated using the power of government to affect these fluctuations suggesting to create an exchange-equalization account to control the value of the currency. This is not dissimilar to the 1985 attempt to manipulate currency by the formation of the Group of Five nations (G-5) that was the brainchild of James Baker advisor to President Ronald Reagan. Just as the free markets caused the 1987 Crash due to the manipulation of currency by the G-5, here also we find that the free markets forced reform of the currency in England and Spain, and this would be a bitter lesson that would result in strikingly distinct monetary policies in Britain compared to Continental Europe.

Exchange rates among nations were entirely based upon the metal content of the coinage. Both Spain and England experimented with debasing the coinage in an effort to increase their money supply. Therefore, Gresham’s observations were based entirely upon foreign exchange predicated upon the metal content of the coinage rather than full faith and credit in a government. As a result, the theory of inflation that dominates modern thinking remains tied to the old world monetary system BEFORE based upon CURRENCY BASED compared to the modern system which is a CREDIT BASED system dependent upon the full faith and trust of a political government rather than a monetary bases system.

This is why our modern ideas of Quantitative Easing have FAILED to produce inflation for the monetary system today is CREDIT BASED rather than CURRENCY BASED. Exchange rates are no longer dependent upon metal content, but instead, they are based upon the perception of the government. This is why the dollar will fluctuate based upon trade news etc. When you look at the actual amount of money impacted even by a trade war, it is negligible. The entire price action is based upon anticipation (confidence) rather than an actual monetary system outcome.

Apr 9 2018

Great Alignment – Metals – Shares – Tangible Assets


Armstrong Economics Blog/Basic Concepts

Re-Posted Apr 9, 2018 by Martin Armstrong

QUESTION: Hi Mr. Armstrong, I notice that the gold market and the Dow Jones they both had a high in January and since then they have been treading water, are this markets getting in sync or is just a coincidence. Also when it come to the markets you have explain that we will always see the “if then” situation, my question is a what point do we know that this is the right time to pull trigger on buying or selling?

Thank you

NMP

ANSWER: We are not there just yet. However, we are starting the Great Alignment and this is what needs to take place as we move into the future. The 99% of analysis out there on gold is just so wrong it is laughable. They typically call the dollar to collapse and gold will soar. They look at historical charts without understanding the economics behind them. Yes, you see gold rally between 1930 and 1932 so they forecast gold will rally with the collapse of the dollar and the stock market. However, 1931 was the Sovereign Debt Crisis where most of the world permanently defaulted on their National Debts. The USA did not. So because we were on a gold standard, if the price of gold rose, so did the dollar. OMG! That must be heresy!

When you are on a gold standard, then tangible assets drop in terms of currency so yes gold rises. But when you are NOT on a gold standard, then gold is just a tangible asset that declines against the currency along with everything else. Most of these people are clueless about understanding the monetary system

During the rally for gold into 1980 when the dollar was declining in the floating exchange rate system, the stock market did not crash – it consolidated. These people spin out total sophistry that sounds great, cause so many people to lose their savings, and they never repent or try to understand why they have been wrong every since 1980

The Great Alignment will be when all tangible assets rise against a declining purchasing power of the currencies which today are NOT linked to gold.

We are getting closer. Do not rush in where only fools are found.

Apr 8 2018

Central Banks are not All the Same


Armstrong Economics Blog/Central Banks

Re-Posted Apr 8, 2018 by Martin Armstrong

QUESTION: Hi Marty,

I am curious if you have a take on the BOJ. They own almost all of the JJB market and have stated explicitly they will buy it all. Now they own 77% of the Japanese ETF market.

Is it folly to suggest that the US gov’t or FED is not doing the exact thing?

Case in point, I know no one in managed money that is stupid. So, this morning why were stocks panic bid in the face of horrid payrolls and an all out bloodbath with China, especially considering that valuations are extreme. That was not delta hedging.

Have equity markets become weaponized for economic policy?

ANSWER: The Fed is nothing like the Bank of Japan (BoJ) or even the ECB. In the case of Japan, their debt has always been primarily held domestically. You could not issue even a private note in Japanese yen without prior approval of the Ministry of Finance. Japan has maintained a controlled economy. The ECB has followed that direction. It is illegal to short Eurozone bonds. In both cases, they believe if they control the financial markets they can prevent a crash and this support the political agenda.

The Fed is NOT reinvesting its bond purchases. When they mature, the balance sheet will be reduced. Always people bash the Fed and attribute what the BoJ and ECB do assuming the same will take place at the Fed. This is just not true.

We just obtained the lowest quarterly closing on German bonds since the major high of June 2016.

Apr 8 2018

Understanding the Markets


Armstrong Economics Blog/Dow Jones

Re-Posted Apr 8, 2018 by Martin Armstrong

QUESTION: Mr. Armstrong; On your January 29 blog, you wrote “In the US Share Market, this is now a turning point we have reached. I have warned for months that exceeding the November high would lead to a January high. Now, the failure of February to make new highs warns of a March low. The support for a correction now lies at the 25637 level on a weekly closing basis (this is not a reversal). We will elaborate today on the Private Blog.” You warned that March could produce a high and keep the cycle inversion process in play. That proved correct since the Nasdaq made new highs and the Dow a reaction high. So that led to the drop into the first week of April. For the actual buy and sell signals, we should only do so on reversals and turning points. The January high you did with the turning point I assume and then the reversals kicked in. The buying opportunity I also assume we must wait for the turning point as was the case for the high. Correct?

PF

ANSWER: Correct. I have made it perfectly clear that NORMALLY one turning point is followed by the OPPOSITE event on the next. So a January high would traditionally produce a March low. However, I pointed out that we have been in a Cycle Inversion. September 2017, November 2017, and January 2018 followed by March 2018 were all the monthly sequential turning points. Normally, each would produce the opposite. That was not the case and each produced a high. This is the Cycle Inversion and it is also warning that we are still consolidating. March produced a high in the Nasdaq and only a reaction high in the Dow. This further warned that there was a shift from an international focus to domestic (Dow v Nasdaq). March also produced only a reactionary high the week of 03/12.

Far too many people expect a guru and want to act based solely upon a comment. Buy this or sell that and that person should always be correct. That is the dream of a fool for nobody can do that. They will ALWAYS quickly lose their money and then blame their pretend guru. That is a sure-fire way to go broke and if they are trying to trade short-term on such comments, they must be insane.

I have stated at the outset of this year that 2018 was a Panic Cycle. That means you test both directions! I further warned that we would see consolidation dominate the first part of 2018 so there was no reason to rush back in until we reach (1) turning point and (2) reversals. The closing of the first quarter was neutral in many markets once again showing that we are still in this consolidation mode. Buy or sell signals are on REVERSALS – never comments.

If you are trying to be a short-term trader and you think that will lower your risk, you are dead wrong. The best performance is to go with the trend and act ONLY on Weekly to Monthly signals – not commentary. January was a critical turning point. All our models were converging at that time so it was ripe for the correction which is why I stated that and was already getting criticism by January 31st, 2018.

The high was Friday January 26th. Every model we had was starting to scream DOWN! The Cycle Inversion was confirmed on the first day of December. I warned if we exceeded the November high, we would rally into January. The high came exactly 43 days (8.6 /2) from the breakout. That frequency does work in the share market except at extreme turning points. That lined up perfectly. The oscillators, always a lagging indicator, turned down on the 30th. Our Skew Model bottomed one day from the high on the 29th. Our Energy model peaked on the day, The subsequent sharp rally into March confirmed this was a reaction high.

Here is the Array on the Dow. There were three weeks targeted 02/12, 02/26, and 03/12 followed by 04/02. The week of 02/12 was a Directional Change and that sent the market back up leaving the February low intact. The next target was 02/26 which produced the reaction high in the Dow. The next target 03/12 produced the high in the Nasdaq.  Then the next target 04/02 produced the retest of the Feb low. Once again, we can see how the markets were interacting and producing the shift from international to domestic.

Clearly, commentary is just an attempt to expalin what is unfolding. It is NEVER for trading purposes. We trade based upon the Reversals and Toming exclusively.

Apr 7 2018

Companies Stop Buy-Backs Causing January Crash?


Armstrong Economics Blog/Stock Indicies

Re-Posted Apr 7, 2018 by Martin Armstrong

QUESTION: Mr. Armstrong; The analysis being punted around is that the crash from January was caused because companies stopped buying back their own shares. The analysis claims that $4 trillion in buy-backs have taken place since 2009 and they stopped because of regs and that was the cause of the crash. It seems to me that this is bogus for the Nasdaq rallied into March and it was the Dow that led the whole way. This analysis appears to be fake news for it is as you say, trying to reduce everything to a single cause. Would you agree?

HC

ANSWER: Absolutely. Yes, Bloomberg wrote about that and put out the research of Goldman Sachs. During the Great Depression, companies tried to support the market and were buying back their shares aggressively during the crash. It not only failed to support the market, it undermined the companies themselves and many failed because they could not raise money nor borrow money as the Great Depression continued. This fundamental sounds logical, but it is just nonsense. Not only did companies rush to buy their own shares back as the 1929 Crash unfolded, they even went as far as to offer loans on their own shares to workers. I wrote about that in the Greatest Bull Market:

/id. page 231

None of all this support had any impact in stopping the Crash. As I have stated many times, everything is connected. If the entire market is crashing, a company trying to buy back its own shares to support its share price has NEVER worked even once in reversing the trend. Bloomberg’s report is indeed bogus. It is simply trying to report ah – this was the cause! It never works that way

Apr 6 2018

Comprehending The Capabilities of AI


Armstrong Economics Blog/AI Computers

Re-Posted Apr 6, 2018 by Martin Armstrong

QUESTION: Mr. Armstrong – Neural nets and deep-learning algos are not all that new. However, with the advent of quantum computing power and huge cloud data stores recording every flinch people make, the business world is abuzz that this is the portent for AI to now transform business, business management, and our lives. Of course, trading systems are now being ‘trained’ on datasets. However, regardless the algo, it’s learning capacity is still limited by the extent of the data that it is presented. Since you have spent so much exhaustive work amassing such a long-term financial (and governmental, etc.) database, using even such things as coinage records for your forensics, I have to wonder if these other systems will still have a long run to go before their forecasting power can match that of your models. Do you expect this to provide Socrates an advantage over the new wave of AI market/trading forecasters that will last for some time yet?

SC

ANSWER: The long-term database is essential. That cost more than $100 million to assemble and quite frankly, nobody seems to be willing to spend that much. This is why all prior models have collapsed creating economic catastrophes such as Long-Term Capital Management debacle. They collapsed again in 2007. Nevertheless, then you have the problem of Neutral Nets are just incapable of handling the vast array of variables. The attempts to create trading models are all flat-model based. Our system has made so many accurate forecasts for so long on so many markets around the globe that I do not even comment on. It is far too much for me to even write about. That is the whole purpose of Socrates.

I had to design a completely different programming technique to work out the complexity. Just image calculating every market in the world in 35 different currencies. The number of variables is beyond comprehension. If we are talking about a limited number of variables for normal business operations, Neural Nets are fine. When it comes to market forecasting, they can develop a Deep Learning system on a single market, but without correlating this with all other markets, you will NEVER see the contagion coming. When everything crashed in 1998 because of the collapse in the Russian debt markets, the illiquidity caused funds to sell other assets to raise cash to cover losses elsewhere. The Russian bond collapse caused a massive sell-off in Japanese yen/dollar rate that had absolutely NOTHING to do with the fundamentals in Japan. Contagions always emerge externally so you can create a model and it will work for a while and then you lose everything.

Mar 16 2018

Amelia Earhart: Lost and Found


Published on Mar 16, 2018

We finally know what happened to Amelia Earhart. Although it’s a tragic ending, her story remains a tale of courage against all odds.
Feb 21 2018

Adapting Machine Learning for Medicine


Armstrong Economics Blog/AI Computers

RE-Posted Feb 21, 2018 by Martin Armstrong

One project I want to move into after we finally get Socrates up for all levels of service is to turn toward medicine. Google’s AI algorithm predicts heart disease by scanning your eyes. They have used machine learning to accomplish what a doctor would do by traditional methods including blood work.

Medicine suffers from the same problem as financial analysis. It is dominated by opinion and that depends entirely upon (1) your experience and (2) the current situation. For example, a small child of about two was running a high fever. She was taken to the doctor who was flooded with flu patients. She was checked for the flu, found to be negative, and sent home. Day three, the fever was still there. Again, the little girl was taken back to another doctor. The same thing took place. After day four, the fever persisted and once more she was taken back to a doctor and the same thing took place.

Finally, the mother noticed she was not urinating and the child simply responded that it hurt. A fourth trip ended up admitting her to a hospital with a urinary infection that had by now started to impact her kidneys.

Medicine, like analysis, is dominated by opinion. If the doctor does not think of anything else to test, nothing takes place.

Machine learning can be used with a full body scanner and much more accurate results can be obtained. We need a machine that will also do a full body ultrasound scan, a simple pinprick for a drop of blood, and the machine could come up with a lot more information at a far lower cost than what we see today.

Feb 10 2018

Right Angle: Fun, Fun, Fun!


 

Feb 1 2018

Are they Starting To Understand Everything is Connected in Nature?


Armstrong Economics Blog/Nature

Re-Posted Feb 1, 2018 by Martin Armstrong

Back in the 1980s, I flew to Toronto to do an institutional session. There was an earthquake that hit. I then flew to Vancouver to do another institutional session and another earthquake hit. I then flew to Tokyo and was hit by another earthquake during the session. I then flew to Australia and joked saying this thing was following me. That night, one struck off the coast of Darwin where we were. I then flew to Aukland and was hit again. That is when I met with the Earthquake Research center. I explain what was happening and at that time they said oh no, that is just a coincidence. Several years later they call me and said they were starting to agree it was connected.

The vibrations that move through the earth with each earthquake called seismic waves are far more significant than originally thought. Today, the impact of seismic waves are being studied beyond the local region of the quake.

The water levels in wells indeed respond to the seismic waves and experience waves of expansion and contraction of the aquifer tapped by the well, This recent event in Alaska saw well in Florida impacted by the seismic wave forces even thousands of miles away from an earthquake’s epicenter.

Back in 1964 with that major thrust-quake, water level changes were reported at 716 wells in the United States, according to the USGS. We are just starting to explore the fact that complexity exists in many areas.