If I understand correctly, you think there would be benefit from a more public analysis of statistical factors underlying the momentum effect in stock prices?
(This sort of thinking?)
https://www.semanticscholar.org/pap...nden/1453464b12d66c43ba6d1b28b58baf4871f6b4bc
there are very very few thinks which can not be coded Duc as long as it is based on measured values/acquired data be it pooled, equation results etc even number of references in twitter etcWell I have just PM'd Mr Skate to see if he can code it up. Actually, all but 1 should be relatively straightforward. I guess we wait and see if he can.
As to the issue of 'objectivity' (coded) and subjectivity (observation), there may be issues, hence my initial challenge to Mr Skate (to see if it is possible) to code it, taking it from discretionary to systematic.
jog on
duc
there are very very few thinks which can not be coded Duc as long as it is based on measured values/acquired data be it pooled, equation results etc even number of references in twitter etc
Boom! Best post on this whole thread! I've been a long time reader of this thread, and two notable things have become apparent:
1. Most of the traders on here, still haven't FULLY accepted that systematic trend-following, will always involve losses and large draw-downs
2. Most of the traders on here, still believes that running multiple trend-following systems will provide some form of diversification or overall draw-down protection
We can begin the journey of answering the most important question, with more questions:
- For freely traded financial instruments, is the underlying price action random or predictable?
- If random, how can my TF system possibly be profitable?
- If predictable, why are most of my long time-frame TF system back-tests profitable, but most of my short time-frame system back-tests are non-profitable? If predictable, surely more of my system back-tests would be profitable (particularly over a variety of time-frames)?
- Is question #1 really that black and white (for all time-frames)?
So Mr Frog, The initial results are in from Mr Skate. I'll let him update the thread, he may have some late improvements to add.
Indeed apologies for using the acronym without first explanation
Phone typing is not an easy sport
Sounds impressive Skate and Duc.How about 2015 and late 2018 - did it help there too? Dammit, where are all the Chinese hackers when you need them?
Although I don't have vigorous mathematical proof my reading has convinced that TF system profit due to two factors
1)"Momentum" phenomena which makes price actions non-random
2)Diversification/Position sizing - Buying say 20 stocks with position size decided by risk or pct/equity rather than market cap as would be the case when buying the index is more often than not likely to be more profitable than just buying the index. (This because in most time periods small/medium caps outperform large caps over longer time frame)
Ok, I'm back for tidbits again.Would all the component data of the super Duc model be available to Norgate subscribers, hypothetically speaking, or does some macro data require hunting down from elsewhere??
Newt, Norgate data has all the required global indexes to code the “Duc Indicator”. Also, Duc has given me help expecting nothing in return. You only have to read a few of his posts to understand how knowledgeable he is.
Skate.
Hi @Skate,
Just wondering whether your "GTFO" indicator is based on a single function (e.g. say % drop in price of a stock) or is there another function which perhaps indicates an exit signal for all open trades?
Cheers,
Rob
Well actually Mr Skate, I'm hoping you keep the updates coming so that it can be truly assessed under real market conditions going forward
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