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Nick RadgeKeymaster
My long/short day trade strategy doesn’t use an index filter.
I do use one on the multi day strategy though
Nick RadgeKeymasterThe other pertinent comment that stood out to me was the time between fat tails that he’s chasing can be extended.
Nick RadgeKeymasterYou can add the following code to your results column formula for volatility
Vola: {%2} StdDev(S.NetPct,Periods)*SQR(S.BPY)
Nick RadgeKeymasterSounds good Paul. What’s the volatility?
Nick RadgeKeymasterLooks okay and not too dissimilar to what I initially posted.
You can probably tighten the code up, i.e.
Reggie1: Extern($#NYSEHL, C > MA(C,20)) // Regime Filter – NYSEHL
Reggie2: Extern($$SPX, C>MA(C,200))
ReggieCombo: Extern($#NYSEHL, C > MA(C,20)) or Extern($$SPX, C>MA(C,200))Nick RadgeKeymasterRegrettably, I somehow failed to record last night’s session. My sincere apologies.
To summarise some of the key points:
1. The new RealTest version of the course is currently being uploaded and will be ready for release in January 2024. You will be able to see the new course but will not be able to access it as yet. The new course will have some extra content, such as All Weather strategies and more of a focus on portfolio volatility (see below).
2. Craig will be taking annual leave in early October. Ensure any important coding queries are forwarded to him beforehand.
3. Drawdowns. A bit of an elephant in the room at the moment. I get it. It’s tough for the very vast majority. Moving forward we’ll be spending a lot more time on the following to, hopefully, ease the drawdowns and make the trading journey more comfortable – or as comfortable as it can be. REMEMBER: the is no reward without some kind of risk.
Our focus going forward will be on strategy/portfolio volatility, exploiting numerous equity pathways, and strategy correlations.
Volatility
Volatility refers to the degree of variation in the returns of the portfolio over time. It is a measure of the portfolio’s risk or the extent to which its value fluctuates. In simpler terms, a highly volatile portfolio experiences large and frequent price swings, while a less volatile portfolio has more stable and predictable returns.The RealTest formula for volatility is
Volatility: {%2} StdDev(S.NetPct,Periods)*SQR(S.BPY)
Below is a guide on where basic strategy types (on their own) sit within the volatility matrix. Combining strategies may see these change. In layman’s terms, once volatility gets above 20% then the ride becomes that much more difficult to handle.
Equity Pathways
A singular equity pathway is prone to the nuances of the market, i.e. if the strategy is out of sync, then a sustained period of sideways or drawdown will occur. There is not necessarily anything wrong with this. A single equity growth pathway strategy can be ‘tuned’ to current conditions at irregular intervals. However, a strategy with multiple equity pathways probably doesn’t need to be tuned because it automatically picks up the variability of the market nuances.A basic example (and I will code this up when I get a chance). Consider a trend system with a Regime Filter lookback of 200 days. It will provide a single equity growth pathway. However, creating a strategy that uses various length lookbacks, say 50 days, 100 days, 150 days, 200 days and 250 days now has 5 equity pathways. All will look and act a little different. Irregular tuning is now not needed. The different ‘speeds’ of the look-backs will account for various nuances of the market.
Correlation
Creating lower correlated strategies can be challenging, especially for longer-term strategies. The idea is that different strategies will have drawdowns or be ‘out-of-sync’ with the market at different times. If we can build lower correlated strategies then, in theory, the equity growth pathway should be smoother, specifically a strategy that is struggling with current conditions is being offset to some degree by another strategy.Below is the correlation matrix of my day trade strategies. I have 4 long/short day trade and a short side multi day mean reversion (HFT). Note that most have very low to slightly negative correlations. There are no bright green squares that show high correlations.
In summary, our focus going forward is to
(1) create lower volatility strategies
(2) create multiple equity growth pathways
(3) create lower correlated strategiesAgain, apologies for not recording last night’s discussion.
Nick
Nick RadgeKeymasterPaul,
The US one uses 6 ETFs with the following allocationsEquities 60% (2x 30%)
Defensive 30% (3x 10%)
Alternate 10% (1x 10%)The entry rule can occur anytime during the month so long as the timing tool is positive.
The exit rule is only ever at month-end.At the moment the portfolio is 80% invested; one of the defensive ETFs is trending down and the Alternate is trending down.
There is a list of alternatives HERE but it could be anything outside of equities or defensives.
Nick RadgeKeymasterThanks Len. Have you been able to code that up in RT?
Nick RadgeKeymasterWhat kind of VIX strategy are you trading?
Nick RadgeKeymasterAfter implementing my All Weather portfolio for US ETFs in my retirement account, I have been working on a second All Weather portfolio for the ASX.
This one uses two portfolios; one defensive and one offensive. The defensive gets 50% allocation to a single ETF, and the offensive gets 50% allocation across 2 ETFs.
CAGR: +10.9% (Benchmark: +7.8%)
maxDD: -10.2% (Benchmark -35.8%)
Vola: 9.3% (Benchmark 15.6%)
Corr: 0.21
Nick RadgeKeymasterTerry,
I learned a lesson many years ago from the Turtles. They kept every market in their portfolio, even those that never made money in backtests. Back then they were limited to 52 markets, but since then they have taken that to some 300 markets – all for the sake of catching some outlier somewhere.Even with my ASX All Weather portfolio, I started with 6 ETFs. Then I started adding in more (mainly based on length of history) and the risk-adjusted returns started being significantly better. When you look at them individually, some look very poor. But add them to the portfolio, the sum of the group is much better.
“…do you allow the same stocks to be traded over the different systems at the same time or do you exclude duplicates?”
No. One symbol only across all systems – the beauty of RealTestNick RadgeKeymasterI should also add that the volatility of the portfolio is 15.07%, which in the scheme of things is moderate, especially with the use of leverage.
Nick RadgeKeymasterTerry,
We’ll be discussing this in next week’s call, but basically, our focus is pushing for multiple equity pathways and lower volatility, specifically moving a move away from the single print maxDD as a guideline.What I’m doing is trading a series of lower-risk, lower-leveraged, MOC systems that are uncorrelated. On their own, they don’t look like much, but, as Kate alluded to, combined they become quite potent. More importantly, we’re not relying on a single setup/equity pathway. This seems to be the trap for many in the MOC/MR space over the last 18 months.
Here are the current stats, where I have 3x Long/Short MOC systems and have added in the short version of the HFT (multi day). The long HFT is traded in another account.
Now, when you put them together, the correlations are very low – not much green or red on the page. As you can see above, leverage is still well controlled, meaning I have scope to add more – so long as the correlations remain low.
Nick RadgeKeymasterMy individual systems have one criteria.
I then add various individual systems togetherNick RadgeKeymasterNice.
Zach has AZS.au in his portfolio…
…little shit
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