Regime
So, Micro Quad1 is in play:
[I added the FANG Index to the Quad1 List, that gave a quad1 response in the march drawdown, while earlier assessments had a quad4 in the march drawdown. I will still need some time until the exposures of the quad exposures are stable. But I back tested with Fang and not much changed, so I think that change is o.k.!].
Truflation still down, so it only can be Quad1 or 4. Since the market is pricing in growth, we are in Quad1:
What changed from last week:
Tech is stalling a bit in terms of relative performance to the SPY.
BUT: we have a breadth thrust: T2108 (NYSE Stocks above the 20-day moving average popped up) and more Cyc’s (Building Materials, Auto Manufactures) joining the party. Also, ARKK (non-profitable tech) curled up and shows relative strength to the SPY now.
That is a healthy rotation and very much needed to sustain the rally.
Short term I think I would only add exposure to those “new” leaders, even then I would consider to be not too aggressive here. Stalking TSLA, but that is about it.
What needs to happen to get more aggressive is a pullback of the SPY and if we see then still Quad1 and Quad2 leading, I will add exposure. Until then nothing to do but then to ride my strategies.
I am already long 100%, so no worries, hedges have been lifted (just in time before the pop in IWM!).
Additionally, my P123 Strategies will add exposure based on the breadth thrust we got (so I should be long 100-120% and Monday evening) Enough risk for me!!!
R&D Projects
I am in contact with a macro service provider I trust and we discuss my new micro quad model.
First of all I want it to be verified by somebody else than me. If it holds (which I think it will!) I think we (my trading group) will have a monster edge at hand.
Again, it is based on the following paper:
The paper is about factor momentum.
It measures that if a factor is strong for 4 weeks, how big is the momentum of the factor after 4 strong weeks of the factor!
So, the high beta factor has about 4 times more momentum (trend) strength than value.
To determine the Quad: why give high beta the same weight as a value (that is which almost all macro models I know do!), when high beta trends much stronger?
Same with residual variance (the second strongest trending factor, see above in the table of the paper!):
In the context of stock market analysis, residual variance represents the unexplained portion of the variability in stock returns relative to the market volatility (or other factors).
For this I use relative strength.
For example, if high beta exposures are very strong in a drawdown of the SPY that means that (positive) residual variance of the underlying instrument is very high!
For the determination of the Quads, I use the highest beta possible exposures, measure their price momentum (need to be above the 20 week moving average) + relative strength.
That works great for Quad1 and 2 and also o.k. for Quad3 (because energy and other CYCs still have a relative higher betas and can be very strong against the market for months, e.g., show high positive residual variance).
I am still working on expression of the quads, not only for me but for subscribers.
ETF cold be one way, but also it could be that we buy the TOP 3-10 Stocks out of a strong industry group or ETF (e.g., right now the strongest Stocks from ARKK, right now: PACB, VCYT, TXG).
So, still a ton of work to do! But I think I am on a big edge.
I think that because a ton of great traders do exactly this: CANSLIM traders and breakout traders wait until higher beta industry groups and stocks show strength, they then wait for a volatility contraction pattern (which happens usually in market drawdowns) while relative strength is improving within the volatility contraction pattern.
I love I when papers (academics) and practitioners are on the same route ;-)
Stuff like that:
Whish me luck!
All the best and best regards.
Andreas
Disclaimer:
The information on from Andreas Himmelreich / QuantStrike and this video / blog is for information and discussion purposes only. It does not constitute a recommendation to purchase or sell any financial instruments or other products. Investment decisions should not be made with this video, and one should consider the investment objectives or financial situation of any person or institution.
Investors should obtain advice based on their own individual circumstances from their own tax, financial, legal and other advisers about the risks and merits of any transaction before making an investment decision, and only make such decisions based on the investor’s own objectives, experience, and resources.
The information from Andreas Himmelreich / QuantStrike and this video / blog is based on generally available and paid information and, although obtained from sources believed to be reliable, its accuracy and completeness cannot be assured, and such information may be incomplete or condensed. All performance results are hypothetical and the result of back testing only. Out-of-sample performance may be different. No claim is made about future performance.
Investments in financial instruments or other products carry significant risk, including the possible total loss of the principal amount invested. Andreas Himmelreich / QuantStrike and this video / Blog do not purport to identify all the risks or material considerations which may be associated with entering any transaction. Andreas Himmelreich / QuantStrike and this video / blog accepts no liability for any loss (whether direct, indirect or consequential) that may arise from any use of the information contained in or derived from Andreas Himmelreich / QuantStrike and this video / blog.