Last week I received an email courtesy of the StockTwits newsletter with the headline ‘This Market Is Confusing Everyone’.
Apparently, because the market has fallen, gone up, and then fallen again (in the space of a few days) investors are totally confused and the market is ‘faking out everyone’.
Unfortunately for the headline writer, this is in fact not a confusing market at all and anyone who has been in the markets for more than a few months will know this.
In fact, the exact price move that we saw in the S&P 500 future over the last few days (>0.6% drop, >0.8% rise, >0.9% drop) has occurred no less than 72 times since 1998.
Thus, traders can expect this ‘confusing’ flip-flop pattern to occur roughly four times every year. The chart below shows how many times this pattern has appeared:
Furthermore, if we are to include the reverse of this flip-flop pattern (i.e. a rise, followed by a drop, followed by a rise), the number goes up to 127 or almost seven events per year.
The truth is that experienced traders know perfectly well the random nature of market price moves and that such price patterns are to be expected on a regular occurrence.
As well, they do not fall for all the usual articles that try to explain every random price move to a clear cause.
In this case, the moves were supposedly explained by new tax reform measures. But as always, it is easy to come up with an explanation after the event.
Today Equals Tomorrow
Experienced traders will also know about the principles of persistence and how this can sometimes be helpful in understanding why the market acts the way it does. This is most evident with regard to the volatility we have seen over the last few sessions.
To summarise, the persistence method states that the most reliable forecast for tomorrow is what happened today.
A good example of the persistence method can be found in the forecasting of weather. For example, if it is a fine sunny day today, it is more likely to be a fine sunny day tomorrow.
However, as it applies to financial market returns, the persistence method is not as effective. If the S&P 500 market rallies today, that does not make it more likely to rally tomorrow (usually).
But, there is some evidence of persistence in volatility. Thus, if the market is volatile today it is more likely to be volatile tomorrow.
Experienced traders know this and they will know that after a fairly volatile trading session you can usually expect similar volatility the next day.
Even if they cannot predict the market direction, this is a helpful skill that allows them to better focus on finding real trading edges and avoid the noise of social media headlines.
As it happens, the flip-flop pattern described above does not show any significant predictive ability.
When applied to the E-Mini S&P 500 futures contract between 1998-2017 it registered a win rate of 50% and an average profit of 0.23% with a 3-day holding period (before transaction costs).
It seems that a bigger cause of confusion for traders is not the market itself but noise coming from social media and the tendency to explain every random price move.
As usual, the best thing for traders to do is to concentrate on building profitable edges and to ignore the noise.
Thank You For Reading
Joe Marwood is an independent trader and the founder of Decoding Markets. He worked as a professional futures trader and has a passion for investing and building mechanical trading strategies. If you are interested in more quantitative trading strategies, investing ideas and tutorials make sure to check out our program Marwood Research.
This post expresses the opinions of the writer and is for information or entertainment purposes only. It is not a recommendation or personalised investment advice. Joe Marwood is not a registered financial advisor or certified analyst. The reader agrees to assume all risk resulting from the application of any of the information provided. Past performance, historical or simulated results are not a reliable indicator of future returns and may not account for real world settings. Financial trading is full of risk and margin trading can lead to financial losses totalling more than what is in your investment account. We take care to present accurate analysis but mistakes in backtesting and presenting of analysis regularly occur. Please read the Full disclaimer.
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