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February 14, 2024 at 12:20 am #102289Nick RadgeKeymaster
I mentioned the new ETF Diversifier strategy in the last call. It’s a compilation of 6 separate strategies that trade 30 – 40 ETFs. These strategies have hold times from a single day to 10-days. What I’ve found is index-based ETFs are good for the long side, and non-index-based ETFs can be used for the short side.
Here is a short side one which I pulled out of a magazine about 10-years ago. I use this to trade a variety of non-index ETFs. The magazine article focused on $GDX only, but more symbols in that space add to trade frequency.
GDXBear: InList(“GDX”) and ((C-O) / O) > 0.01 and Trend
Here is the equity growth using a set of about 15 ETFs.
The trick here is that most of these are not based on technical indicators, rather they’re based on OHLC chart patterns and variants thereof. Here’s a few others for consideration, and these can be used with trend filters and either long/short:
1: (-1 * ((1 – (open / close))^1)) > 0.01
2: ((((high * low)^0.5) – C[1])) > 0.5
3: ((-1 * (((stddev(abs((close – open)), 5) + (close – open)) + correl(close, open, 10))))) > 0.01
4: (sum(high, 20) / 20) < high[1]February 16, 2024 at 5:08 am #115978KateMoloneyParticipantOut of interest, could you please post the stats of the strategy?
Thanks Nick.
February 16, 2024 at 5:48 am #115982Nick RadgeKeymasterFebruary 16, 2024 at 1:15 pm #115983LEONARDZIRParticipantNick,
Those are incredible statistics. ROR 31% with 10% drawdown is grail like. Any chance you will offer it up as a product?February 16, 2024 at 11:07 pm #115985Nick RadgeKeymasterI’ve started test trading it and have replaced my day trade systems with this one. The lower trade frequency, lower exposure and wider diversification made that decision a no-brainer.
February 17, 2024 at 1:47 am #115984KateMoloneyParticipantThank you for sharing Nick
February 17, 2024 at 1:57 am #115986KateMoloneyParticipantIs this using US based ETFs Nick?
More options for ETFs and cheaper fees compared to Aussie ETFs (plus ability to leverage to 200% for multi day holds)
Its thought provoking and I appreciate you sharing.The market is ever changing and we have to change with it.
February 17, 2024 at 2:18 am #115988Nick RadgeKeymasterYes, US ETFs only.
I’m thinking of adding a low turnover short-side stock MOC to it – will help diversify against long index ETFs.
February 17, 2024 at 3:18 am #115989KateMoloneyParticipantWhen picking your ETFs, how do you ensure you are not cherry picking the ETFs that produce the best system results?
Do you pick the top X ETFs per sector by AUM or volume?
And then test the system on other similar ETFs in the same section to reduce risk of over fitting?February 17, 2024 at 6:52 am #115990JulianCohenParticipantThis is a real issue Kate. It was one of the reasons I was always reticent on strategies like this, however, there is very little doubt that some indexes are mean reverting and some follow large trends. So I don’t see a reason not to choose general mean reverting ETFs for some strategies and breakout/trend following ETFs for other strategies. In other words choose the ETFs that fit the strategy.
Once you accept this principle, it lets you construct a whole different set of strategies.
I always go for volume and to a certain extent AUM…I’m looking for high daily volume primarily
February 18, 2024 at 5:11 am #115991Nick RadgeKeymasterKate,
As per Julien. The longest history and highest volume take precedence. The setups can also be tested on stocks as well for stress testing.March 3, 2024 at 5:34 am #115987Nick RadgeKeymasterI have added two new systems to my ETF Diversifier strategy.
One system is the amalgamation of a short-stock MOC strategy that I used in my MOC strategy (now disengaged). I know that’s not specifically an ETF strategy, but my goal here was to add truly diversified and low-correlation elements to diversify against my many long-only strategies. This short system trades $RUI only, with 7.5% allocation to 5 stocks. Again, the setup is based on a simple bar pattern, specifically
ShortTrigger: C > O and C > H[1]
As a result, I get an increase in CAGR, a slight drop in maxDD, and a slight increase in volatility.
March 3, 2024 at 11:01 pm #116009Nick RadgeKeymasterTo keep this discussion going, here are the individual equity curves
S1 – short day trade system that trades non-index ETFs
S2 – A long swing system that buys weakness and exits into strength. It doesn’t use indicators – price only. Trades a selection of index ETFs
S3 – This one trades long-only in a selection of index ETFs. The setup / exits are RSI based, but with a few twists.
S4 – this one trades ‘alternates’ namely Bitcoin ETFs and uses the same setup as S2.
S5 – another price pattern that measures internal bar strength. Long only across a variety of index ETFs
S6 – Another price pattern that evaluates whether the relative change between the opening and closing prices of a stock is significant. Trades the index ETF universe, long only
S7 – this is a new setup from Larry Williams and looks at the relationship between two 5-period moving averages. It trades the same universe as S1, but long side (rather than short as per S1)
S8 – this is my original short-side R-1000 MOC strategy that uses a very simple price pattern in an uptrend.
March 3, 2024 at 11:03 pm #116012Nick RadgeKeymasterHere’s the correlation matrix of all strategies
March 4, 2024 at 1:55 am #116013KateMoloneyParticipantThis has been an insightful read, thanks Nick.
I’ve been working on a multi strategy strategy since September, and my biggest struggle is the systems work well individually … yet when combined some of the equity curves fall – particularly after 2019. Although the sum of the parts is greater than the whole, I’ve struggled to pull the trigger on the system.
Reading your posts I’ve learned a few things which might help in my own system development, especially since you’ve been able to acheive equity curves on all strategies that rise over the longer term.
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