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Block Traders’ XBI Forecast: a Sequel

November 17th, 2009

A month ago, to illustrate the capabilities of block traders to appraise the near-future price prospects for stocks and ETFs, we proffered the XBI Biotech SPDR as an example.

Here is an update.

At the time of the prior post, the forecast was for an upside potential price of  $54.47 (+4.1%) and a downside of $49.39 (-5.6%).  Its history, following 394 prior forecasts of like proportions, was that closing prices higher than the forecast day’s closing price (then $52.32 ) happened 46% of the time, with average gains of +5.4%, and lower prices were seen the other 54% of days in the next 3 months, falling an average -6.8%, with largest losses typically running -9.6%.

Not a particularly exciting moment in the life of XBI, but we simply wanted to brag about a good past history of identifying price extremes.

During the past month XBI has in fact declined, in sympathy with the market, to $46.61, off by -11%, on October 28.  The forecast at that point was a high of $51.52 (+10.5%) and a downside of $46.48 (-0.3%).  The odds for higher vs. lower prices then were 3 : 1, with 75% of the days in the next 3 months following 53 similar prior forecasts averaging gains of +8.3%.  Loss days averaged -4.5%.

In our book, these are attractive proportions, indicating XBI should be bought at that time.

It has turned out well.  By November 16 XBI rose to $51.31, and today, the 17th, passed the $51.52 upside target on an intraday basis.  Our practice is to close out such a position and look for ways to re-employ the capital, including the +10.5% gain.  It took 13 days, better than the usual 40 or so.

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Can Block Traders Forecast XBI?

October 22nd, 2009

Recent responses to our first post to Seeking Alpha questioned whether Block Trader forecasts had useful predictive value. We wouldn’t have been maintaining them on a daily basis for the past decade if they didn’t.

Our principal interest is in identifying specific investment opportunities, not having market environment discussions. Still, with a backdrop of over 5 million price range forecasts, the potential for useful information exists.

But that overall equity market is subject to such a diversity of influences and changing circumstances, getting any useful handle on it is a task beyond nearly everyone, including us and our sources – who may be the best informed players in the business.

Instead, we prefer to find time-disciplined, defined-size, price swing situations in specific investments that have evidence of fairly reliable prior forecasts. We limit ourselves to time horizons that have reasonable chance to be foreseen, usually 3-6 months.

We get our forecasts from the way that market professionals protect themselves as they compete by taking necessary at-risk positions in stocks and ETFs. Their hedging activities are committed, forward-looking forecasts of what they believe can happen.

Here is a picture of how they saw prospects for XBI, the S&P Biotech SPDR, during the past two years:

XBI Forecasts

In this chart the vertical lines are forecasts of prices to come, not records of prices past. The colors suggest investment traffic signals available at the time.

A simple, but useful guide is to consider the range top of a forecast as a sell target for a buy made at that date. The target should be kept specific to the buy, and not changed, despite subsequent events.

You say that’s not the way it’s done? Not what you’ve been taught?

Suppose you chose to buy the XBI in early April, 2008 at $50 because the biotech industry’s future then looked very bright. Damn! Were you smart – for a while.

Doing what you were taught, you held it for the “long term.” Maybe not so smart. Because here you are a year and a half later at $52 with only a 3% annual rate of gain.

Using the traffic signals instead, and reading rough estimates from the chart, you could have had (April’08)Buy@50-Sell@60, (October’08)Buy@50-Sell@57, (March’09)Buy@43-Sell@51 for gains of $10, $7, and $8; $25 instead of $2. And have had your capital available for other use perhaps 1/3rd of the time.

With no sickening lose-a-third-of-your-money drops from $69 to $43.

This is shorter time horizon active investing, not day trading. You would have made three transactions in a year and a half, not an hour and a half. Holding periods averaged four months, not four hours — or four years.

The market-makers don’t want or intend to hold any position four months. But they can probably anticipate most of the price-moving conditions in the next 3 or 4 months. They just don’t know for sure when any of them might occur. So their uncertainty has to include them all, even if their positions are eliminated in 4 days.

Just try and anticipate what any company is likely to really earn in 4 years, let alone what their capital structure (number of shares) may be and what their auditors will allow them to report. And correctly guess what the market conditions will be like out there in time, and you might know what your return on investment will be.

Duplicate that effort for all of the candidates you might speculate in so that comparisons can be made, and, voila, you’re a long-term investor (?).

There’s a reason that America’s Cup sailboat skippers sail all those short tacks. That way the competition doesn’t get away from them if the wind shifts temporarily in their favor.

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Bears fattening up on ripened summer fruits?

August 27th, 2009

The bears are on the prowl during this mid-vacation-season.

While the second team is in charge, trading volume of all stocks typically declines a bit. Yesterday it ran about 4.4 billion shares on the NYSE, AMEX, NASDAQ, and regional exchanges. ETF volume, on some days over 50% of the total, was down to 30%, at 1.3 billion shares.

The lower volume encourages some players to stick around during a time when their activity can have a more pronounced market effect. Trading of leveraged and short ETFs gives us a look at what they may be up to.

At yesterday’s prices, all ETFs traded over $58 billion, down from a prior 3-month daily average of $68 billion, a decline of -15%. Over 9/10ths of the usual $68 billion is in 76 ETFs that normally trade over $100 million a day. Over 3/4ths of the action is in two dozen ETFs that each trade over $ ½ billion daily.

Over $9 billion of trades were in inverse, or short-positioned ETFs, with less than $6 billion in leveraged long ETFs.

High rollers like the 3x action of the FAS (leveraged long) and the FAZ (levered short).

While trading in the FAS edged off less than ¼ of 1%, volume in the FAZ doubled.

FAS is trading near the middle of its past 52-week range, while FAZ is near its low.

A quick check of all the inverse, or short-position ETFs among the most actives shows that they too are trading near or at their lows.

They may not stay there when the first team returns.

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