I suppose Charles Teo shouldn't be listened to when he advocates using hand held mobiles are your biggest risk for Brain Cancer. Experts earn their expertise. In which area is yours?
Grow up.
Well there is a perfect example of an appeal to authority fallacy which has very robust data showing that the expert is wrong. Very bad example to make your case Tech.
I didn't mean to like anything. I was just reading through the thread earlier, must have accidentally clicked it.Sam/Klogg (like??)
Sam/Klogg (like??)
Really?
Blah blah blah....
Grow up.
Way off topic ---But I'm not sure its that bad.
Source-http://www.radiationresearch.org/pdfs/reasons_us.pdf
Sam/Klogg (like??)
Really?
The amount of help given to people in this community by Howard has been enormous. To treat an expert in a field such as Howard with such un restrained contempt when your not in a position to do so is childish.
Denigration to personal attack demonstrates a lack of comprehension and understanding.
I suppose Charles Teo shouldn't be listened to when he advocates using hand held mobiles are your biggest risk for Brain Cancer. Experts earn their expertise. In which area is yours?
Grow up.
It has.
Dude that looks like cherry picked nut job site from the fringes of the net. You cannot talk about the 'scientific processes' then quote that. But anyway..... ML and the cloud of doom coming to the keyboard warriors.....
I have spent the last year and a half learning Python and ML applications towards trading (its been cool as an old dog learning new tricks and I really nerded out). Initially my interest was the use of ML predictions from another very traditional and what I saw as a non scientific approach, training response from prescribed loads set by coaches in endurance sports.... long story but very interesting things coming in that field, like many others with ML applications. Some coaches have already taken the dive and the outcome has been evolutionary rather than revolutionary so far but very early days yet. That of course led to doing different tuts from all over the net on many different subjects and of course a good look at how it was being used in the trading world. What is available out there on the net from what I could find was truly woeful. Stuff like feeding in EOD OHLC data into scikit learn algos and hoping to predict next day being up or down. Just sh1te!!
The deeper I went looking for applications the more and more disappointed I became with ML likelihood at being a revolution for the single guy on a keyboard. Once I had experience with what was possible with simplistic applications of ML it became clear that it was no different from any other angles at cracking the market. You are going to need may hours of dedicated learning, a very thorough background in market fundamentals other wise you'll will waste a heap of time trying to make simplistic and unrealistic applications/ideas work and mostly, as always in the market, a unique approach.
I suspect the pessimism from system traders about the future is the result of them now playing in a field that has had so little barrier to entry for so long. The EOD systematic trader looking for an edge with low risk over a few days by running decision tree algos is now 40 or so years old as a field. At the start you were a first mover with access to a lot of low hanging fruit. Try and imagine how many backtest have been performed on EOD and 1 min bar data since the start of the PC era!!! Talk about a carcass being picked over.
Python is a very cool language to learn and play around with but its no 'insider knowledge' tech. I have had a basic look at what a few Hedgies are doing in Melb with ML too and from what I was able to guess its more about risk and metrics than uncovering a new edge but when you are trading many many mil maybe that where the edge is?? Its another tool added to what has come before it. I'll continue to investigate what I can do with it. I have now moved far enough away from the beginners stage that I can apply my own unique approaches to collecting, assembling and searching data. From my discretionary trading results that is where the profits are.
What is disappointing in ML & the trading field is how little there is to find in true applications to trading. Useful ones. Unfortunately this thread adds to that.
There's nothing wrong with the comprehension and understanding of those that have a different view.
Greetings --Why is it professors always think they're right and theres no other way, when actually challeneged backs away and uses big words instead in big posts full of words. Wasnt it people like this that made the world financial state like it is today? "My ways are right and I refuse to listen to any outside sources. In fact I'll claim them to be in denial or jealous. Oh and what I say goes, dont even think of checking any hard facts to back me up. I'm a professor you know."
A piece of paper saying you're qualified in something doesnt mean what you say is 100% and thats that. If a student tried to do something differently a professor is likely to shut him down because its not "meant" to be done that way. But the way we've "always done it" hasn't landed us in a very good position has it. A student isnt lacking ability because you think he should have done it your way.
People seem to really struggle in accepting that there are multiple ways, and that what they're complaining about and saying about others is precisely what they're doing themselves with their own bias.
I still trade discretionary. But as I've said before if and when I trade with 500K or more it wont be discretionary and not without my own Quant that I can trust. Fortunately I have one.
What sort of "quant" is working for someone with $500k and how could you trust their analysis? Monkeys, peanuts etc...
Greetings --
Don't be that person. Just do the math.
Best, Howard
Yeh but become acquainted with knowledge before sledging something that is clearly beyond Sams Comprehension and understanding.
His frustration is clear!
Greetings --
Don't be that person. Just do the math.
Best, Howard
What sort of "quant" is working for someone with $500k and how could you trust their analysis? Monkeys, peanuts etc...
His son??? how could you not trust family???
That start up investment - probably in reality translates to buying a family member a job and trying to get something back from the uni expenses.
But the marketing job to lay the foundations to sell some rabbit hole crap to the bunnies and recoup the investment is entrepreneurial.
Or am I just too sceptical?
Greetings --
Don't be that person. Just do the math.
Best, Howard
In correct
Has his own Company and spends approx. a day a week on this--Currently
for the last 18 mths.
Could do.
There is a complexity with trusts etc.
But no problem with that as long as I understand it.
Unless I understand what risks I can quantify (to a degree)
I wont invest in anything regardless of who/what it is.
Just due diligence as best I can---most would be no different.
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