3 Day Low Trading Strategy In ETF’s

Last Updated on June 19, 2022 by Quantified Trading

The strategy published in this article has similarities with Larry Connors’ trading strategy called the double 7.

Connors’ strategy is very simple with just two rules. The fewer rules, the better, because less probability of curve fitting. The strategy is based on 7 days low (and high for exit), but in my testing, it seems to work very well on all time frames (in SPY and S&P 500).

It takes advantage of the mean-reverting tendencies in the stock market.

3-day low trading strategy the S&P 500

I decided to test this myself but by changing the entry parameters somewhat to better fit my trading style:

1. The ETF must close on a 3 day low (low is lower than LOW the previous 3 days).

2. The (c-l)/(h-l) must be lower than 0.33 (IBS).

3. Entry is on the close.


The exit is also changed somewhat:


1. Exit is on close which is higher than the HIGH the previous 2 days.

2. OR a time stop of 6 days

3. Exit is on the close.


I changed the rules to have a lesser drawdown. Besides, this strategy does not pay off to hold for a long time. Either it turns around quite quickly, or you risk sitting unnecessarily long and tie up capital.

I also have a shorter time frame on exits to have a lesser drawdown (but also less profits).

3-day low works on many ETFs

Then I did a scan to pick tradeable ETF’s.

I simply use IBS to find the best ETF’s with the best mean-reverting tendencies: go long if IBS is below 0.33 and go short if IBS is above 0.8. Entry is at the close and exit is the next day’s close. A pretty simple strategy!

I ranked the ETF’s and want to trade the 37 best ones going forward. I also included 3 bonds ETFs just to have other instruments than stock ETFs (to end up with 40 ETFs in total).

Is this curve fitting? Of course, an element of curve fitting is in there. But this is the way I have always done it and it seems to work.

This strategy will certainly not work in a lot of ETFs like USO, DBC, and UUP for example. They are not mean-reverting. I also excluded all “ultra” (geared) and short ETFs.

This is the equity curve for the whole strategy:

I have allocated one part of my portfolio for this strategy. It will maximum have 3 positions at any time. That means I have to pick ETFs randomly on days there are many potential fills.


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      • To clarify, the strategy only uses the 2 entry rules and 2 exit rules you specify at the beginning of the post?

        Is the equity curve for the long strategy only, or for both long and short?

        Could you post results in table form as well?
        Sorry for the all the requests. Thanks!

  • Could you post those 37 best ETFs you found? Do you there is something inherent about these ETFs that make them the best (past and future), or is it something you would tune in real time (e.g., periodically pick the best x ETFs over the past x months and set that as your universe)? If the latter, wonder what the test results would be walk-forward?

    • My walk forward test is my live trading 🙂 Testing usually is just an indication. When i trade with live money I discover a lot more about the strategy (and myself). I don’t want to spend too much time testing before I have dipped my toe in the water. Trading is very difficult my experience tells me testing is very hard to duplicate in the “real world”.

      • I hear you. Thanks. Are most of the ETFs you found to behave well country-specific ETFs, or US index ETFs?

  • Hei Oddmund,

    Tilfeldig oppdaget jeg din hjemmeside og syntes at det er mye interest. stoff. Har kjøpt begge bøker fra deg på HO – bokklubb.

    Jeg lurer på har du produsert dagens rapport angående aksjer i Norge?



  • I believe the double 7’s buys on the close. You are choosing to buy on the open the following day after your 2 criteria are met?



  • Interessting strategy 🙂
    Do you use any kind of stop loss? A trade goes max 6 days – I don’t want to be in the market for a week without a Stop Loss…. What do you think or what are you doing for this topic?