How is mean reversion doing? Dead, Shrinking or Doing Just Fine

A common question I get from readers is “does mean reversion still work?” The last time I wrote about this topic was in 2015, a long time ago, in the post “The Health of Stock Mean Reversion: Dead, Dying or Doing Just Fine” I did not realize it had been so long. Time to look at it again.

The Test

Date Range: 1/1/2001 to 12/31/2018

Entry:

  • Stock is member of the Russell 3000
  • Two period RSI crosses below 1
  • As traded price is above $2
  • Entry on next open

Exit:

  • Two period RSI crosses above 70
  • Exit on next open

A couple comments on the rules. I take all the signals and buy $1000 worth of the stock. I am not testing a portfolio. The test differs from the 2015 test because I believe this captures better what we are looking to discover. The $2 rule I added simply to stay away from very low-priced stocks that I do not trade and could distort the results.

All charts have a dotted trendline on them.

The Results

Number of trades.

The total is 88,750. The first question is are fewer stocks becoming oversold?

A very slight uptrend but staying around 5000 trades per year. Trades are not happening less frequently. That is good.

Average % profit/loss

What has been happening to average % profit/loss over the years? This I fully expected to go down.

This was not a big surprise. The average % profit/loss over the entire time period is .52%. The last two years the average has been .33%.

Focusing on bull market years. From 2003 to 2007, the average is .89% vs .52% from 2010 to 2018. As more people trade mean reversion the smaller the edge gets.

Average Day Hold

Have the trades become shorter in length?

This one really surprised me because I thought they had from my own trading. But we can see that the hold length has stayed the same. A remarkable consistency.

100 Day Historical Volatility

Are stocks not as volatile? Is that why the average % profit/loss is smaller?

Looking at the bull market years we can see that there has not been a lot of change in volatility to trades taken. Again, another surprise as I was expecting a large decline.

Percent Winners

What is the win rate doing?

The % winning trades has stayed very consistent around 65%.

Using the MA200

I typically only trade mean reversion when the stock is above its 200-day moving average. Do the numbers change if I focus on those stocks? Unfortunately, the numbers tell the same story. Here is the Average % profit/loss for above the MA200.

Same general downtrend. I found it interesting that the last two years the returns above and below the MA200 have been about the same at .33%. The spreadsheet you can download also contains all the charts for above the MA200.

My Mean Reversion Strategies

I used to trade a ‘simple’ mean reversion strategy that did well until 2015. I stop trading it in 2016 because of poor performance and it has lost moneyin 2017 & 2018. At about the same time, I started trading a slightly more complicated mean reversion strategy. It has done well the last two years. Two more random data points.

Spreadsheet

Fill the form below to get the spreadsheet with the yearly numbers used to generate this data. This includes all the trades too. And lots of pretty charts.

Final Thoughts

I expected to find the following when I started this update

  • Hold periods becoming shorter
  • Volatility becoming less
  • Average % profit/loss becoming less

But only one of these is true. My theory was that the first two were causing the smaller edges. At the end of the day I think too many people are following mean reversion trading. It is easy to test and see great performance overall but those edges are shrinking and getting harder to find. They will likely come back during the next bear market because mean reversion is hard to trade then. Current verdict: slowly shrinking.

Backtesting platform used: AmiBroker. Data provider: Norgate Data (referral link)

Good quant trading,

Fill in for free spreadsheet:

spreadsheeticon

 
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Click Here to Leave a Comment Below

Thomas Musselman - March 13, 2019 Reply

Not clear to me: does adding “price above MA200” add anything at all to the return?

    Cesar Alvarez - March 14, 2019 Reply

    It does not add anything to the avg % p/l. All the other numbers are also about the same. You can see that in the spreadsheet download

Craig Peters - March 17, 2019 Reply

Hi Cesar

Interesting results. I’m slightly puzzled as to how the average trade performance could go down if the win rate, average hold and 100 days volatility are holding steady.
Did you look at win/loss ratio? Perhaps there have been more sharper corrections of late?

By the way, I’m still live trading a modified version of your simple mean reversion strategy (the one from Nick Radge). I’ve been very pleased with it. It’s performed well in 2019 so far and more crucially, didn’t suffer too badly during Feb or Q4 of last year.

Regards
Craig

    Cesar Alvarez - March 18, 2019 Reply

    I agree it is interesting how that can go down when all the others are staying roughly the same. Glad that the strategy has been performing well for you. Like I said at the end, I have a MR strategy that is working right now and one that stopped working a couple of years ago.

Nolan Kerr - April 14, 2019 Reply

In your blog you indicated that you are trading a somewhat more complicated Mean Revision Strategy. Are the specifics of your new approach available?

    Cesar Alvarez - April 15, 2019 Reply

    Sorry, but I am not sharing any specifics on it. The biggest difference is the order entry. But again I am not giving details

peter - October 3, 2019 Reply

A test you did in a previous year shows %P/L inreasing whereas this test is showing the opposite over the same range ..
Can you be consistent in using the exact same rules? otherwise you’re not comparing apples to apples

    Cesar Alvarez - October 3, 2019 Reply

    I understand wanting the same test run. As I explained at the beginning of the post, I think the change in rules and timeframe captures better what I was looking for.

Alan - August 3, 2021 Reply

Hello Cesar, new to your site and am loving it. Based on your excel trade list, I have added Market (Russell 3000) Direction (Rate of Change for last 3 months) and Type (% Avg True Range for last 24 months) for , as follow:
– Market Direction = 1-StrongBull, 2-Bull, 3-Sideways, 4-Bear, 5-StrongBear
– Market Type = A-VeryVolatile, B-Volatile, C-Normal, D-Quiet

Using the above Market Type classification at the time of trade, I have filtered out Market Types with Win Rate less than 65%.

Avg P&L per Trade improved from 0.52% to 1.19%.

Some questions:
1) Am I overfitting the results? How to test if I am in fact overfitting or not?
2) Is there a way I can post pictures to the conversation? Happy to share the charts.
3) I tried to replicate your trade list to no avail, what am I doing wrong?
– Using Max Open Position of 1000 and $1000 per trade
– PositionScore = MA(AUX1,21) Note: Aux1 = Value Traded, data from Norgate
– Using Unadjusted Close and Volume for filters

    Cesar Alvarez - August 4, 2021 Reply

    If I understand correctly that is 20 different market environments.
    1 – To me that would be overfitting msotly because it is overly complex.
    2 – Go to my contact me page and we can take this conversation to email, which will allow you to send pictures
    3 – This is better to do over email. Are you using the historical constituent data?

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