Τετάρτη 14 Δεκεμβρίου 2016

REFLECTIONS ON THE TRUMP PRESIDENCY, ONE WEEK AFTER THE ELECTION- RAY DALIO

Below you can find an article published by  Bridgewater and Ray Dalio:
Before and immediately after it was clear that Donald Trump had been elected, the markets (especially the stock market) had negative votes on the man (thinking he might be irresponsible), while after he got elected, the markets reacted to the man’s policies—so the correlations reversed.  That shift was due to the changing complexion of market participants—those who drove the markets after his election were largely those who kept their powder dry until they saw the outcome and chose to process (and bet on) the policies themselves. As for us, we chose not to bet on whether or not he would be elected and/or whether or not he would be prudent because we didn’t have an edge in predicting these things. We try to improve our odds of being right by knowing when not to bet, which was the case.
Having said that, we want to be clear that we think that the man’s policies will have a big impact on the world. Over the last few days, we have seen very early indications of what a Trump presidency might be like via his progress with appointments and initiatives, as well as other feedback that we are getting from various sources, but clearly it is too early to be confident about any assessments.  What follows are simply our preliminary impressions from these. We want to make clear that we are distinguishing between a) the sensibility of the ideology (e.g., one leader’s policies might be “conservative/right” while another’s might be “liberal/left”) and b) the capabilities of the people driving these policies. To clarify the distinction, one could have capable people driving conservative/right policies or one can have incapable people driving them, and the same is true for liberal/left policies. To understand where we are likely to be headed, we need to assess both. To be clear, we are more non-ideological and practical/mechanical because to us economies and markets work like machines and our job is simply to understand how the levers will be moved and what outcome the moving of them is likely to produce.
The Shift in Ideologies
As far as the ideology part of that assessment goes, we believe that we will have a profound president-led ideological shift that is of a magnitude, and in more ways than one, analogous to Ronald Reagan’s shift to the right.  Of course, all analogies are also different, so I should be clearer.  Donald Trump is moving forcefully to policies that put the stimulation of traditional domestic manufacturing above all else, that are far more pro-business, that are much more protectionist, etc.  We won’t go down the litany of particulars about the directions, as they’re well known, discussed in my last Observations, and well conveyed in the recent big market moves. As a result, whereas the previous period was characterized by 1) increasing globalization, free trade, and global connectedness, 2) relatively innocuous fiscal policies, and 3) sluggish domestic growth, low inflation, and falling bond yields, the new period is more likely to be characterized by 1) decreasing globalization, free trade, and global connectedness, 2) aggressively stimulative fiscal policies, and 3) increased US growth, higher inflation, and rising bond yields. Of course, there will be other big shifts as well, such as pertaining to business profitability, environmental protection, foreign policies/alliances, etc. Once again, we won’t go into the whole litany of them, as they’re well known. However, the main point we’re trying to convey is that there is a good chance that we are at one of those major reversals that last a decade (like the 1970-71 shift from the 1960s period of non-inflationary growth to the 1970s decade of stagflation, or the 1980s shift to disinflationary strong growth). To be clear, we are not saying that the future will be like any of these mentioned prior periods; we are just saying that there’s a good chance that the economy/market will shift from what we have gotten used to and what we will experience over the next many years will be very different from that. 
To give you a sense of this, the table below shows that a) these economic environments tend to go on for about a decade or so before reversing, b) market moves reflect these environments, and c) extended periods of movements in one direction (which lead to confidence and complacency) tend to lead to big moves in the opposite direction.
As for the effects of this particular ideological/environmental shift, we think that there's a significant likelihood that we have made the 30-year top in bond prices. We probably have made both the secular low in inflation and the secular low in bond yields relative to inflation. When reversals of major moves (like a 30-year bull market) happen, there are many market participants who have skewed their positions (often not knowingly) to be stung and shaken out of them by the move, making the move self-reinforcing until they are shaken out. For example, in this case, many investors have reached for yield with the upward price moves as winds to their backs, many have dynamically hedged the changes in their duration, etc. They all are being hurt and will become weaker holders or sellers. Because the effective durations of bonds have lengthened, price movements will be big. Also, it’s likely that the Fed (and possibly other central banks) will increasingly tighten and that fiscal and monetary policy will come into conflict down the road. Relatively stronger US growth and relative tightening of US policy versus the rest of world is dollar-bullish.  All this, plus fiscal stimulus that will translate to additional economic growth, corporate tax changes, and less regulation will on the margin be good for profitability and stocks, though for domestically oriented stocks more than multinationals, etc. The question will be when will this move short-circuit itself—i.e., when will the rise in nominal (and, more importantly, real) bond yields and risk premiums start hurting other asset prices. That will depend on a number of things, most importantly how the rise in inflation and growth will be accommodated, that we don’t want to delve into now as that would take us off track. 
Let’s get back on track regarding whether the Trump administration will be…
…Capable or Incapable?
Our very preliminary assessment is that on the economic front, the developments are broadly positive—the straws in the wind suggest that many of the people under consideration have a sufficient understanding of how the economic machine works to run reasonable calculations on the implications of their shifts so that they probably won’t recklessly and stupidly drive the economy into a ditch.  To repeat, that is our very preliminary read of the situation, which is too premature to take to the bank. Of course, we should expect big bumps resulting from big shifts regardless of who is engineering this big ideological shift. 
So, what are we trying to say? The headline is that the ideological/environmental shifts are clear, their magnitudes will be large, and there’s a good chance that the “craziness” factor will be smaller and play a lesser role in driving outcomes than many had feared. In fact, it is possible that we might have very capable policy makers of the previously mentioned ideological persuasion in control. As always, we will keep you posted of our thinking as it will certainly change as we learn more. 
©2016 Bridgewater Associates, LP

ARTIFICIAL INTELLIGENCE -FOCUSED NUMARAI RAISED $1.5M



A hedge fund focused on artificial intelligence has raised $1.5m from a group of investors led by a founder of Renaissance Technologies, one of the world’s biggest money managers, underscoring the growing interest in applying cutting-edge technology to markets.
Numerai was founded by South African mathematician Richard Craib last year and uses a monthly “tournament” for data scientists to develop models using AI fields such as “machine learning” to predict stock market movements, with the best predictions winning money from the company.
Unlike Quantopian, a similar embryonic “crowdfunded” hedge fund, San Francisco-based Numerai provides data scientists and computer programmers with encrypted financial data.
They then use the data to independently develop their own models scouring for patterns and submitting their results to the hedge fund, which then synthesises the best ones into stock market trades. Quantopian members submit completed trading algorithms.
“It’s just a clean data challenge. We manage all the irritating things like the fund structure and the trading,” Mr Craib said. “They can build whatever model they want and simply submit their predictions.”
The Numerai investment group was led by Howard Morgan, a former computer science professor and one of the founders of Renaissance Technologies, the immensely lucrative but secretive science-powered hedge fund.
“Richard has a new take on how to use crowdsourced artificial intelligence in a very innovative way,” Mr Morgan said. “The homomorphically encrypted data means it’s just abstract data. It could be weather data or pharma data, it just happens to be financial data.”
Some of the investors — who include Naval Ravikant, a co-founder of AngelList and a seed investor in Uber, and Playfair Capital, a London-based venture capital group specialising in artificial intelligence — also put an undisclosed sum into Numerai’s hedge fund, which otherwise remains closed to outside investors.
“We have so much to do on the technology side and on the tournament design, so I want to focus on that for now,” Mr Craib said. But with typical Silicon Valley understatement he added that eventually “I want to manage all the money in the world”.
Numerai has also appointed Peter Diamandis, the chairman of the X Prize Foundation and the Singularity University, to its advisory board. He will join Vitaly Shmatikov and Arvind Narayana, two machine learning experts at Cornell and Princeton Universities respectively, Kaggle board member Ash Fontana, and Norman Packard, a chaos theory physicist and founder of The Prediction Company, a cutting-edge hedge fund in the 1990s.
The hedge fund, which was started in October last year, initially traded only using Mr Craib’s own model, but now mostly uses the predictions produced by the contestants at its tournaments, which started running in December.
“My model was doing very well, which is why I felt confident I could start a hedge fund, but within 10 days of the first tournament I had an even better model,” he said. “We now have 80 people with better models than me, which is depressing, but it’s good for the fund.”
The current leader on Numerai’s tournament board is a user called “NCVSAI”, who works in genomics and biostatistics, according to Mr Craib. He has earned $5,563 since starting to submit predictions earlier this year, but as the hedge fund grows Numerai intends to ramp up the rewards.
This is an article from FT https://www.ft.com/content/b743fa8e-034a-11e6-af1d-c47326021344

Κυριακή 14 Φεβρουαρίου 2016

EURUSD WEEKLY ANALYSIS



Eurusd  is still  in a bigg  range although   is  trying  to  break  higher .  The big cloud above it suggests that  it wont have a  a break out  anytime soon .  1.1450 and  1.17 5 0 aare areas to  reenstate short  positions.