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PM or email me if you want to keep the discussion going, especially if it's about me, people here wouldn't care for that.
If a trader is truly successful, they run into liquidity issues. They can then choose to go wide eg. employ same strats using algos across more stocks/more markets (maybe even layer on diff strats) or go deep eg. investing. I think most people mellow out with age and kids etc so they go the investing route
You may be surprised Sam .... you have been one of the most interesting people around ASF in recent years ...I would be very interested in your personal trading journey and trading strategies on many levels so please don't think the rest of the punters aren't interested in your story etc
Personally i don't fit your desire to see a long term successful trader, although I am now into my third successful positive year in succession but that is another story, and one I'm obviously happy about, but it is rightly tempered with great humility and respect of the markets! Will it continue? Who knows; I'm no Quant!!
I know you were doing some great stuff on the Dax, so I'd be the first to welcome another "Sam thread" on any or all of your musings in relation to anything trade related.
Cheers M8.
Yes.
Warren Buffet is a Quant.
You learn something new everyday.......
"...an ability to insulate his thoughts and behavior
from the super-contagious emotions that swirl about the
marketplace".
Respectfully disagree. Another (direct) cause that drives price is news events. One less obviously causal is inside information which is not immediately obvious until the outsiders get the news.Supply/demand and sentiment drive prices, not computer programs. (My post)
We -- all people -- regularly try to assign causality. Correlation is fairly easy to detect, but causality is much more difficult. The best we often can do is react to the evidence. In this case, react to whatever prices appear in the history as we are developing trading systems and in the tick-by-tick transactions as we are trading. Computer program may or may not drive prices, but computer programs are the tools of choice for analysis.
Does Howard (or do you Howard) have some kind of track or performance record that is publicly available?
Interesting request. Howard is not here to sell you python courses....he's a recognized author and retired professor....why would he need to have a track record?
Unlikely.
The geeky glamour of the quant took a big hit with the financial downturn, beginning with the so-called quant crisis in the summer of 2007, when quant funds took a nosedive. “All I can say is, beware of geeks bearing formulas,” Warren Buffett memorably told Charlie Rose in October 2008.
http://www.zerohedge.com/news/2016-11-03/someone-wrong-why-quant-war-means-vol-set-soar"Someone Is Wrong" - Why The Quant War Means Vol Is Set To Soar
An example of just this "war of the robot (traders)", is that as Credit Suisse observes, a "quant war" is quietly taking place, and as Bloomberg eloquently adds, "computer is fighting computer in a hedge fund tilt that could get messy regardless of the winner."
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The problem facing the quant world is learning how to respond to the same signal inputs. For the most part, the responses have not led to a wide divergence, however something appears to have changed this time around: "as the quant population exploded, analysts have spent more time trying to pin down how they will react to volatility and other inputs. And with good reason, as long-short funds are sitting on $215 billion in assets, while CTAs oversee some $330 billion, according to BarclayHedge, a database that tracks hedge fund performance."
The major divergence observed above is troubling to Connors, because it is reminiscent of the periods before the two most recent corrections, when funds took similar opposing bets. Trend-following commodity trading advisers and equity long/short funds are currently 47 percentage points apart in their U.S. equity exposure, the largest spread since just after the S&P 500 Index bottomed in February. Before that, the last time the spread grew to more than 40 percentage points was in August and September of 2015, the worst two-month stretch for the S&P 500 since 2011.
The causes for the variance in quant sentiment have been isolated: CTAs bearishness is being spurred by an event occurring after the election: the Federal Reserve’s December meeting, when rates may rise, Connors said. On the other side, equity long-short managers have been buying neglected companies like banks in anticipation of higher rates, he said due to relative valuation mispricing.
The Fundamental champion is Buffet
The Quant champions Massive hedge funds
But it's about being able to use fundamentals and increasingly data analysis in YOUR trading
That doesn't remotely resemble the above.
I just can't see how people can't grasp this opportunity.
Oh well.
I'm interested in some substance to this thread. Is there any substance?
I'm interested in some substance to this thread. Is there any substance?
What would substance be?
Hello Howard. Substance? Evidence in the form of results or more to the point, evidence in the form of trading algorithms or methods.As I write in my "Foundations" book, the days of chart reading, long term holding, and simple trading algorithms are over. The business of trading is changing with astonishing speed. It is now about applied mathematics, machine learning, Bayesian statistics. Traders without skills in math, programming, statistical analysis, and scientifically developed trading techniques are at a severe disadvantage.
Best regards, Howard
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