Put/Call Ratio Hits 7-Month Low – What That’s Meant

Normally I only post one study to the blog each day. Additional work is saved for Subscriber Letter recipients. But since August 6th is Independence Day in both Bolivia and Jamaica (as well as Ginger Spice’s birthday), I figured, “What the heck – let’s go for 2.”

The CBOE hit it lowest level since December 20th. That’s a quite a while. I checked to see what happened after other times it hit at least a 100-day low:

Score tonight Bears 2 – Bulls 0 (for the short-term).

Fed Day Spikes – Historical Aftermath

Last night’s study suggested a decent likelihood of a rise today based on the fact that the market was short-term oversold going into a Fed meeting. Today the rise came in a big way. So what happens after the market spikes up on the day of a Fed meeting? I ran a study:

While the SPX was up over 2% today, I used a 1% spike to ensure a decent amount of instances. More often than not the market tended to pull back over the next couple of weeks. While the downside edge isn’t huge on a percentage basis, the risk is quite a bit higher than the reward. Overall not encouraging for the bullish case over the next 2 weeks.

When The S&P Is Oversold Going Into A Fed Day

The S&P fell on Monday for the third consecutive day. There are some short-term price indicators reaching oversold levels at this point. More often than not, when the market goes into a Fed meeting and is short-term oversold, the result is a bounce. For tonight’s test I used the 2-period RSI. I looked at any time since 1978 the S&P 500 closed with a 2-period RSI reading below 20 the day before a scheduled Fed meeting. (I did not include unscheduled Fed meetings, since they all pretty much pop the market.) Summary results of all qualifying Fed days are shown below. They assume buying at the close the day before the Fed meeting and selling on the close the day of the Fed meeting. (Based on $100,000 per trade in the S&P cash index.):

Based on this, there appears to be a small edge to the upside for Tuesday.

More Detail On Put/Call Ratios

Last week I looked at some moving averages of the CBOE Put/Call ratio. I compared the 10-day average to the 200-day average. The 10-day average gives a sentiment snapshot for option traders. The ratios have risen gradually over the years as the market has evolved. The 200-day average helps to normalize the 10-day readings.

What was shown last week is that when the 10-period moving average is below the 200-period average, the market over time has lost money. When the 10-period moving average has been above the 200-period moving average, the net results over time have been a gain.

I decided this week to take a closer look. As it turns out, the results are not quite as cut and dry as they may appear at first. I used the same time period so that the numbers would match up. The column on the left shows the 10ma/200ma ratio. Returns are broken down by range. For example, on July 25th the 10-day average of the CBOE total put/call ratio was 0.96. The 200-day average was 1.03. Dividing the 10 (0.96) by the 200 (1.03) gives a result of about 0.93. Therefore, July 25th would have fallen into the 0.9 – 1.0 category. Points gained and lost are totals for the day following the reading.


I found these results quite interesting in a few ways. First, ratios just below 1 were bearish while times when the 10ma was strongly below the 200ma actually resulted in gains. I suspect this is due to the fact that the extremely low readings may be the result of a strong move to the upside. Strong moves up are more likely to continue up than weak ones.

Also interesting is the fact that 1.1 – 1.2 shows a negative return going forward. I suspect at this point the market may often be downtrending. Readings higher than this could signal exhaustion, which is why they results in positive days going forward.

An uptrending market with a little skepticism (1.0-1.1 reading) may be the sweet spot when looking for long-term gains.

While in general you’d rather see some skepticism with a ratio greater than 1, it’s not quite as simple as saying greater than 1 is good and less than 1 is bad.

Another Large, Low Volume Drop – Massive Edge or Statistical Anomaly?

The market has been on a roller coaster ride lately. It’s been six sessions since the initial bounce off the July lows topped out. In the last six days the S&P 500 has closed either up at least 1.25% or down at least 1.25% five times. Three times it’s been to the downside. All three times the big drops came on lower volume. As you might suspect, seeing the S&P drop 1.25% on lower volume 3 times in 6 days is a fairly rare event. Below is a summary of how the market has traded following such events:


The number of instances is too low to make much out of but the size of the returns is certainly eye-popping. An average return of over 5% in the next 7 sessions. That’s a substantial pop to say the least. For those who would like to review the dates, they are all listed below. Notice how 2002 dominated the study.


While not statistically significant, I find the results noteworthy and interesting. So to the header question: Are we looking at a massive edge or a statistical anomaly?

I’ll let you decide.

How Volume Provides Clues & What It’s Suggesting

Tonight I thought I’d show an example of how volume can affect price action. The last two days the S&P 500 has risen by over 1.5%. Volume has also risen each of the last two days. Ignoring volume I ran a test to see how the S&P performed after back to back 1.5% rises:


Results were choppy and even the better periods generally underperformed a random 1-2 week period.

Next I looked at what happened if the volume rose both days as it has the last 2:


Generally positive results. Nothing eye-popping but “worse than random” has turned to a positive bias.

What if I look at only those times when the market was up 1.5% for two days in a row and there wasn’t a progressively higher volume pattern?


As you’d expect, things have gone from choppy to choppy with a slight downside bias.

What if instead of rising two days in a row, we look at the same price pattern where volume sank two days in a row?


A gently positive bias with rising volume becomes a violently negative bias on decreasing volume. Of course the number of instances here is quite small. To remedy this I lowered the price requirement from 1.5% to 1%. Results below:


Similar story here. Any way you look at it, the moral is this: Pay attention to volume. It matters.

As a bit of a tease I’ll let everyone know that I’m currently conducting a large research project related to volume. I hope to be able to release results some time in August.

A Quick Recovery

After falling hard yesterday the market made up all of those losses and then some today. Historically, these kind of sharp recoveries have been bullish over the next couple of weeks. Below is a study which exemplifies this:

Of the 19 instances, 6 of them dipped below the low of the “big down day” at some point in the following 12 days.

Overall, action seems to have turned more constructive in the last two days.

What The Recent Put/Call Ratios Are Suggesting

With the increased difficulty created by the recent enforcement of short selling rules in certain financial stocks, it would seem that there may be a greater interest in put buying. This is because buying a put would be an alternative way to gain short exposure. What we’ve seen is exactly the opposite. Last Monday the CBOE Total Put/Call Ratio’s 10-day MA dropped below it 200-day MA. It continued to drop further below it all week.

In the past I’ve discussed the need normalize the put/call ratios. I began looking at the 10/200 MA ratio after reading some of Dr. Brett Steenbarger’s research on the subject. Dr. Steenbarger used the Equity P/C Ratio and looked for stretches.

In my case I do not require the 10-day MA to be stretched from the 200-day MA. I simply looked at how the market has performed when the 10-day MA is positioned either above or below the 200-day MA.

From 8/6/1996 through 7/25/2008 the S&P 500 has gained 595.44 points. When the 10-day MA of the Total Put/Call Ratio has been above the 200-day MA the S&P 500 has gained 710.31 points. When the 10-day MA has been below the 200-day MA the S&P 500 has LOST 114.87 points. Based on this I’d consider the recent cross of the 10-day put/call below the 200 day put/call to be a negatvie.

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Putting Thursday’s Drop Into Context

After making a new 200-day low last week, the S&P 500 made a nice bounce over the next six days. About half of that six-day bounce was erased Thursday as the market took it on the chin. I conducted a study to see what’s happened following similar circumstances in the past.

Winners and losers were split right about down the middle over the next week to week and a half. Notable is the fact that losers outsized winners by a significant amount from 5 to 10 trading days out. So while the odds are 50/50, risks greatly outwiegh rewards. I ran the test under a few different scenarios. One was using a 2% drop instead of the 1.5% shown above. The results were very similar with fewer instances. I also looked at using a 100-day low instead of 200. In every iteration I ran it appeared there was a downside edge for the first 5-8 days followed by a bounce through day 15 or so and then another pullback through day 20.

Looking at the results of a 2% or greater drop after a bounce from a 200-day low I found that 47% of them went on to make new lows within the next 5 days. In every case where the market managed to hold above its recent lows for the next 5 days, it also held above them for at least 3 more weeks. The next five days may tell a lot about the sustainability of this attempted rally.

Breadth & Helicopters: The Sequel

Yesterday’s post on Breadth and Helicopters received a slew of comments. There were many well thought out and interesting points. I don’t care to get into a lengthy debate and couldn’t possibly address all the issues that were raised, but I thought I would offer a few comments for further clarification on my thinking. I’ll also touch on a few of the issues discussed in the comments section. Anyone who hasn’t read yesterday’s post or some of the comments people made following may want to check that out before continuing.

So the June/July selloff took out two breadth indicators with “perfect” records. In my post I indicated that this didn’t sway me from treating them the same as I had previously.

I should mention that I am neither surprised nor concerned that they both “failed” at the same time. For the most part they both measure the same thing – breadth. One looks at broad market advance/decline breadth while the other looks at how broad extreme selling is in a select list of securities. Still, they’re both looking at breadth. There is no question that it became extremely negative in June. And rather than being accompanied by the sharp bounce that has been customary for the last 25 years, the market continued to slide.

One notable about both of the indicators discussed in yesterday’s post is that their history was somewhat limited. The McClellan data I used only went back to 1986 and the CBI data back to 1995. Under most circumstances, if I get enough instances that the results appear notable, I’m more than comfortable only going back this far.

Daniel mentioned an interesting event – the Crash of ’87. What traders should understand is that prior to that the market did behave differently in many ways. I discussed this in both the 7/7 and 7/13 Weekly Research Letters. From the July 7th Letter:

“I go back to the Crash of ’87 for a few reasons. First, it was the last time that strong negative breadth readings, such as the % below 40ma and the 10-day Advance/Decline EMA led to further selling, and in a big way. Second, it led to changes in the way the market is governed and monitored. Some changes, such as the implementation of trading curbs, are well documented. Others, such as the President’s Working Group, are clouded in mystery. Whatever the reason, breadth extremes as we’ve seen recently have consistently marked buying opportunities over the last 20+ years.”

To see an example of how poor breadth readings formerly failed to spark rallies, you may revisit my June 25th post. There I looked at a 10-period EMA of the advance/decline ratio. Readings such as we were hitting in late June have normally provided traders an edge over the last 20 years. Prior to that, expectations were negative to flat.

An aspect to the recent decline that provided a clue as to how bad things were getting was the persistence of the downtrend. Whereas in the past 20 years oversold was met with buying and violent short-covering rallies, it just wasn’t happening in June and early July. I first discussed this in my July 3rd post, which indicated we were experiencing a selloff unlike anything seen for a very long time. On July 7th I followed it up with another post on persistence.

So why didn’t we bounce sooner? Is it likely to happen again? Are we in a 70’s environment or was the selloff just an anomaly? Will breadth indicators remain useful?

My inclination is that we are not going to revert to a 70’s – type market where selling just begets more selling. For the market to change the way it has behaved for the last 20+ years would take a substantial change in dynamics. Has such a change occurred? Difficult to know, but I don’t think so. No uptick rule? Double-short ETF’s? The ability of retail traders to easily trade baskets of commodities via ETF’s? These are all relatively recent developments and they have changed market dynamics in some way. Enough to cause fairly reliable overbought/oversold breadth indicators to become obsolete? I don’t believe so and like I said yesterday, I’m currently just looking at it as a losing episode.

So why did it happen? I don’t know. One observation I would make is that since the Crash of ’87, the government seems to have taken a greater interest in the equity markets. For instance over the past few years there have been several times when the market appears on the precipice of something awful and the Fed arrives with an announcement that seems to spark a rally. This occurred in March. It occurred in January. It occurred last August. It occurred March of 2007. It occurred in June 2006. Those are a few I can recall off the top of my head. Each time the market turned seemingly because of a rate cut, or a bail out, or an expansion of the use of the discount window, or something.

During the recent selloff the Fed has been caught between a rock and a hard place. Whereas under other circumstances they MAY have stepped in sooner with some announcement that could help spark at least a short-covering rally, this time the anouncement didn’t come. The double-edged sword of inflation and recession was threatening and there wasn’t much they were willing to do. Also, the nature of the selloff was not crash-like. There was little panic. The mood was dour as seen by investment and consumer sentiment surveys, but not outright panic as could be evidenced by the VIX. While not immediately hailed, a temporary enforcement of short selling rules in certain financial stocks MAY have helped the recent bounce.

Perhaps stagflation will become a real problem. Perhaps the Fed will continually find itself handcuffed or the government will decide it will no longer considers the equity markets an important consideration in constructing policy. Perhaps the introduction of double-short ETF’s, commodity and currency ETF’s, no uptick rule and other things are changing the dynamics of the market in such a way that certain indicators, such as some of the breadth measures I use, will no longer be effective. I don’t believe that to be true, though and at this point I’m betting against all of that. I will continue to run studies and construct systems in the same manner I did before the latest meltdown.

Now if it keeps happening,..well…then I’ve got some things to ponder.

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One last note here. There were also some observations about system development in the comments of the last post. I think it would be worthwhile to talk about some of my thoughts there some day, and I’ll try and do that. Just not today. This post is already too long. In fact I doubt anyone is still reading…

Quick Note On Follow Through Day

Investors Business Daily did not declare Tuesday a Follow Through Day. It did qualify under the original 1% rules, though. I conducted most of my studies using the old 1% rules. One primary reason is that moving the requiremnt to a 1.7% move, several large rallies would have been missed. There are a couple of things to note when the market puts in an “Original Follow Through Day” (OFTD) like today. First, based on the 64 OFTD’s I found in my study between 1971 and January of 2008, the expectation over the next week was positive. Second, however the market moved over course of the next week was a predictor of the success or failure of the FTD about 2/3 of the time. You may refer here for more details on these statistics.

Breadth, Perceptions of Risk, and Hawaiian Helicopters

On June 11th the McClellan Oscillator (as measured by TC2000) dropped below -200. That night I published a system related to this oscillator which bought the SPX on a drop below -200 and sold when it moved back above 0. The system was 17 for 17 since 1986. The exit trigger came on 7/17. In this case the system would have lost about 5.6%.

The CBI is another breadth tool I use. On July 1st it reached 10, which I will many times use as a buy signal. Going back to 1995, buying the SPX when it hit 10 and selling on a return to 3 or lower would have resulted in 18 winners out of 18 trades. On Friday the 18th it returned to 3. This would have resulted in a loss of about 1.9%.

So now that the perfect records are ruined, how does this change the risk / reward moving forward?

First a story…

After I got married my wife and I went to Hawaii for our honeymoon. There was a concierge in our hotel that offered all kinds of 1-day packages of things to do – snorkeling, trips to other Islands, etc. One thing we thought looked exciting was a helicopter tour of the island. She told us that the helicopters were all flown by former military pilots and all new and state of the art. The company had been flying for 15 years and never had a crash. We were looking to sign up for something in two days. We told her we’d talk about it and come back the next day to sign up.

After we left we agreed the helicopter sounded the best of the options for that day. We were sight-seeing the next day and figured we’d sign up in the afternoon after we got back. When we got back to the hotel, before going down to the concierge, we flipped on the tv. The news was on and the top story was a helicopter crash that took the lives of 7 people. It was the company we were planning on signing up with and the tour we were planning on taking. It was pretty alarming to say the least.

My thought after seeing the news story was that tomorrow would likely be the absolute best time to take the helicopter tour. One crash every 15 years, and it happened today. No way they crash 2 days in a row. My bride had a different perception of the risk.

We went snorkeling.

In reality the crash had no effect on the risk of flying in the helicopter. Perhaps extra precautions would have been taken following the crash, but for the most part if the chance of crashing was around 1 in 5,000 on Friday, then after the crash on Saturday, the chance was still 1 in 5,000. It wasn’t any more (as my wife perceived) or less (as I perceived) dangerous.

Systems with perfect track records should be viewed in much the same way as the Hawaiian helicopters. The chance of a McClellan Oscillator signal or a CBI signal generating a profitable trade was never 100%. Now that they’ve encountered their first loss, should the risk be viewed differently? Not in my eyes. It should have been viewed at less than 100% before the failure and it should be viewed around the same after. I’ll treat breadth indicators in general and these two in particular in the same way I did before. Should they begin to provide false signals more often than expected, then it may be time to re-evaluate.

Traders should attempt to use any edges they identify to their advantage. They should not view any edge as a guarantee, and they should not be swayed too much by a small sample set. It’s been almost exactly 8 years since the helicopter crash and I don’t believe that company has had a crash since. It’d be nice to see the breadth indicators put in a perfect track record for 8 more years. If they did it still wouldn’t change my approach.

Follow Through Days Quantified

Now that the market has bounced and a potential bottom has been established, CANSLIM and other intermediate-term traders are awaiting a Follow Through Day (FTD). Back in January and February I wrote a series on Follow Through Days and deconstructed them, showing actual statistics based on different assumptions and parameters. If you haven’t seen that series of posts and you trade in the intermediate-term time frame, I’d encourage you to check it out.

Below is a quick summary of my quantification of FTD’s:

1) While I’ve read claims of success rates as high as 80%, using extremely generous assumptions my studies showed success rates of about 55% since 1971.
2) Using the original 1% thrust higher requirement, every rally since 1971 would have been accompanied by a FTD. Increasing the requirement above 1% as IBD has suggested in recent years would have seen several substantial rallies occur without FTD’s
3) In most circumstances the FTD occurs close enough to the bottom for traders to be able to catch a substantial portion of a successful rally.
4) Market action in the days after a FTD has been a decent predictor of whether that FTD is likely to succeed.
5) Leadership may not emerge until some time after the FTD. Traders should not expect it to be present and obvious immediately.
6) FTD’s tend to be more reliable after small declines than large ones.
7) FTD’s after day 10 have had a higher success rate over the last 37 years than FTD’s that occurred between days 4-10. This is contrary to what is typically taught.

For those traders who use Tradestation and would like to conduct their own research, I have now released the Quantifiable Edges Follow Through Day Study on the website. It can be downloaded and tweaked as soon as you order. As with all the studies, the code is open and there are flexible inputs for further research. Here’s an example of how results may vary depending on your inputs:

In the original post which discussed success rates, the assumption I used to label a FTD a failure is that the S&P had to CLOSE below its downtrend low. I did this at the time because I wanted to make the inputs a generous as possible to try and reach the 70%-80% success rate that was claimed. Here’s a graph of the S&P 500 going back to December to see how this would have looked.

If I change the requirement from a CLOSE below the low to an intraday LOW below the low, the results change significantly. Now the success rate drops from 54% down to 45%. Most people might consider this an even more accurate representation. The chart with the adjustment to that input is shown below:


If you trade intermediate-term I’d recommend you learn all you can about this tool. Understand the true quantifiable value of Follow Though Days. Don’t just buy into the hype. Research it yourself. For those with Tradestation, the Quantifiable Edges Follow Through Day Study can be a great place to start.

Solid Gains On Big Volume Provide A Quantifiable Edge

What was most striking about today’s action was the volume. Frequently you see high volume occur on a washout day like Tuesday or even a rebound day like Wednesday. According to my data provider, while Thursday’s trading didn’t see the range that the previous two had, it did register the highest NYSE volume since March.

High volume on an up day is typically seen as a sign of institutional accumulation. It is generally thought to be a good thing. I put today’s action to the test:


Very impressive results. Winners swamp losers both when looking at the percentage of wins and the size. Also notice the healthy profit factors in the last column. (Profit factor = Gross Gains / Gross Losses.)

Historically, high volume days under the 200-day moving average where the market is up strongly like today seem to have provided a nice upside edge over the next 1-20 trading sessions.

Get all my weekend testing in this week’s Quantifiable Edges Weekly Research Letter. If you haven’t yet received a sample issue, just send an email with your name and email address to weekly@quantifiableedges.com and you’ll receive the weekend’s entire rundown, including both short and intermediate-term biases.