In the Market Tells – Part 1 blog, I introduced the concept of market tells as an enduring trading edge that can be used to enhance returns over the long term. Developing the ability to identify market tells and act on these signals takes practice. It’s important to keep track of trading results to get better and gain confidence to jump on these opportunities in size when they occur.
In this blog, I first clarify thoughts on a few instances when the market tell guidelines are not met. The most important guideline for identifying a market tell is the 80% rule, which states that to consider market action as unusual (and thus providing a market tell), the usual behavior must occur at least 80% of the time. Otherwise, it’s just too difficult to associate the unusual behavior with a market tell rather than normal market gyrations. Next, I’ll review three more market tell techniques that can be used to trade asset classes. I’ll close with some thoughts on crowded trades and implementation hints.
On some days, one sector may be up while the rest of the market is down. If the behavior is explained by news, then this price action is totally normal. Even without news, this sort of divergence occurs often enough to consider it normal activity. If a security is illiquid, such as a closed-end fund, then this action might be correcting a stale price from the previous day, which is not unusual at all.
To contrast, if all risky assets are aggressively moving higher (such as when the S&P 500 is up 2%+ for the day), and one sector is flat, then this behavior is much more unusual and may be the basis of a market tell, especially if no news explains the behavior. However, we need to remember that the time scale of this edge is on the order of a day or two.
Watching how a stock or asset class reacts to news associated with a known announcement date (such as an earnings call or a central bank news release) is very difficult to use as a market tell. There is usually an enormous amount of trader attention to these known release dates, which probably means there’s no trading edge. Much of the news and all the probabilistic outcomes have been priced in before the announcement, which is another way of saying the pre-announcement price is set such that there is no edge in buying or shorting the security ahead of the announcement, or in fading or chasing the post-news reaction.
Finally, watch out for interpreting short-term market action when there’s a lot of unwinding of positions. For instance, at the first of the year, it’s best to wait a week before interpreting market action as hedge funds unwind their end-of-year trades. This sort of behavior can occur during bear markets also. This is a very chaotic time when a lot of unwinding is occurring – it’s a very difficult time to interpret market action versus any sort of playbook. Wait until the dust settles and stocks start moving in unison before interpreting market action.
Divergences and Market Tells
In discussing market tells, I’ve used the term “divergence” to describe local price action where an asset class’s price or relative strength line is diverging from normal expectations. Searching for divergences is a staple of technical analysis.1,2 In the past I have falsely interpreted a divergence as a market tell. These misinterpretations generally occurred during relatively quiet times in the market, usually during bull markets, when the 80% rule did not apply.
Ask a market strategist about divergences, and the first thing that comes to their mind is the case where the stock market is making new highs while some other risky asset class is moving lower. For instance, from mid-2014 to mid-2015, the S&P 500 was moving higher, while junk bond markets where moving lower. This isn’t supposed to happen, and such a divergence is often interpreted as a warning of future weakness in the S&P 500, leading to a convergence of the two markets. (more…)
In any competitive field, the awareness of tells can provide a significant and enduring edge. Most people think of poker when they hear about tells.1 Is a player acting strong to encourage other players to fold? Does a player seem nervous when they throw their chips in the pot? Can any useful information about an opponent’s poker hand be gleaned from these actions?
Tells occur in many aspects of life and competition. For most sporting events, searching for tendencies in an opponent’s play is an integral part of game preparation. In the home arena, parents look for facial clues when interrogating a fidgety teenager as the youngster explains what she’s doing on a Saturday night.
Tells are an important source of feedback when trading the financial markets. I call these “market tells” to distinguish between the variety of tells that occur in other forms of competitive environments (more on this distinction later). A market tell is a powerful approach to sensing moments in time when market participants are not positioned correctly.
A simple example of a market tell is a stock that’s acting strong when it should be weak. Perhaps the stock is in an uptrend when extremely bearish news is released about the prospects of the company (such as a product recall). Unexpectedly, after a momentary dip on the news, the stock price continues to go higher. That’s a positive tell for future outperformance.
Properly identified, tells can get you out of a trade much sooner than waiting for a technical trend-following sell signal. Tells can help you identify future outperforming asset classes. They can provide positive feedback that a current trade is working. No matter what your trading discipline or time scale, searching for market tells is a great trading edge.
The more you clarify and develop your thoughts around market tells, the more confidence you’ll have to quickly jump on trades and to trade with high conviction and size. I began noticing market tells soon after I started trading in the late 1990s. In 2005, I decided to be more disciplined about it by keeping track of results. When I observed a tell, I printed out a chart and documented what I expected to happen, and then slipped the paper into my “market tells” folder. I also traded on this information, and over the next four years, avoided looking at the results.
In mid-2009, I checked to see how these predictions worked. The success rates for these trades at both the short and intermediate time scales were excellent. These results piqued my interest to further investigate and refine the use of market tells in my trading. In 2014, I performed yet another trade analysis, and in 2017, I find myself slightly reshaping my views while writing this blog.
Classification of Tells
To provide a framework for thinking about market tells, I’ll review various forms of tells. (more…)
A stale pricing edge occurs when a security or fund can be purchased or sold at a price that is stale with respect to current up-to-the-second information. This trading edge is as fleeting as a twenty dollar bill sitting on a busy sidewalk. For instance, if the price of a U.S. equity closed-end fund is sitting at bid $10, ask $10.10 for most of the day without trading activity, and the S&P 500 trades up 2% during the day, the ask price of $10.10 may be too low, and therefore, stale. Then buying at the bid can provide a risk-free profit (if hedged by an S&P 500 short) of at least 10 cents, since the fund should be trading at $10.20/$10.30.
You’ll never find stale prices with liquid large cap equities or ETFs. Only rarely do they occur with securities that don’t trade very often, such as closed-end funds. The stale price edge is not backtestable with price data since simulated orders would have affected prices at the time.
Generally, we’d expect stale price opportunities to occasionally occur with illiquid stocks that trade with a wide bid-ask spread, with very little size offered. Stale prices may also emerge when transaction costs are high (perhaps due to a financial transaction tax), or when markets are highly volatile. In the heat of a stock market crash, when 10% up and down days are the norm, we’d expect a few stale price opportunities to emerge. Getting back to the U.S. equity closed-end fund discussed above, if the S&P 500 ramped 5% in the last hour of the day, and the closed-end fund lagged up only 2%, then perhaps that’s an opportunity to buy at the ask, and expect its price to eventually catch up (possibly the next morning).
Funds are the bread-and-butter tools for asset class traders – ETFs, ETNs, closed-end funds, open-end funds, limited partnerships, etc. There are stale pricing opportunities that can occur with investment funds from time to time.
Most notable was the stale pricing associated with open-end mutual funds. This advantage is no longer available today, but it represented a structural edge from the 1980s to the early 2000s. In his book The New Market Wizards, Jack Schwager profiled one trader, Gil Blake,1 who used this edge in the 1980s to produce an annualized return of 45% per year over 12 years. Mr. Blake actively traded Fidelity sector funds to generate those returns, switching in and out of funds every day. Interestingly, he was unaware of why the strategy worked, when what he was doing was systematically exploiting stale pricing. At that time, mutual fund prices exhibited a daily serial correlation because many of the securities held in the fund had stale prices when used to calculate the daily close-of-business net asset value (NAV). (more…)
Providing liquidity to motivated buyers and sellers has worked throughout history. It’s an enduring trading edge that I expect to work forever – both in and out of the trading arena. In life, a person highly motivated to purchase a specific house, a specific car or the latest consumer gadget pays a price that’s higher than a reasonable substitute. A person forced to sell a house will likely concede a not-so-small financial penalty because of the need to sell immediately.
Consistently being a motivated buyer of things will act as a drag on the personal balance sheet. Taking advantage of sales or the occasional motivated seller provides a little alpha in the growth of personal wealth.
Similar opportunities occur in the financial markets. With respect to the motivated buying/selling (MB/MS) edge, we’re searching for moments in time when the price action is affected by a large amount of buying/selling that is price-insensitive AND is occurring due to reasons unrelated to enhancing portfolio risk-adjusted returns.
We distinguish MB/MS from everyday price volatility by understanding the motivations and techniques used by other market participants, and identifying instances when a price is perhaps being pushed away from equilibrium value for non-economic reasons. We sell into the price strength or buy into price weakness created by the MB/MS and then wait for prices to snap back when done.
This trading edge takes experience and educated guesswork. You might ask if there’s too much competition in this space from market makers, Wall Street trading desks, high frequency traders, statistical arbitrage hedge funds and others. The answer is absolutely yes, and I’m not asking you to compete with these pros. The goal is to be on the lookout for when market makers and other arbs need some help pushing prices back to the equilibrium value. (more…)