Slope of Hope Blog Posts
Slope initially began as a blog, so this is where most of the website’s content resides. Here we have tens of thousands of posts dating back over a decade. These are listed in reverse chronological order. Click on any category icon below to see posts tagged with that particular subject, or click on a word in the category cloud on the right side of the screen for more specific choices.
Gold Getting Crowded (Mike Paulenoff)
About six sessions ago when spot gold was climbing towards its May-July resistance line ($1551) and EUR/USD was pressing lower towards its May-July support line (1.4170/80), I made a judgement call: I decided to buy the euro into its support line, looking for the end of its 9-week bullish consolidation pattern, ahead of a powerful thrust that projected to new highs above 1.5000.
At the same time, I decided to forgo entering the long side of gold — the SPDR Gold Shares (GLD) — into strength, which usually is a mistake, and instead looked for gold prices to pull back before entry.
Well, that turned out to be exactly the wrong decision, didn't it? EUR/USD plunged 4 BIG figures and sliced beneath all key support points between 1.4170 down through 1.3970 — into and below its rising 200 DMA at 1.3910. Meanwhile, spot gold prices never did pull back at all and just continued to climb from $1545 above its resistance line at $1551 towards its May (all-time) high at $1577.60, which was hurdled today!
In other words, gold turned out to be a "no-brainer, no-stress" position, while long EUR/USD turned out to be a nerve-racking, highly stressful, and unprofitable long position. What now?
From my technical perspective, the psychology underlying long euro versus long gold has changed significantly in the last couple of sessions. Right now, EUR/USD remains a very discredited, almost hated, currency, especially after it wiped out lots of longs in the recent plunge. No one wants euros … and everyone wants gold, which is an "upside-down" psychology that warns me that long gold has become an exceedingly dangerous and crowded space, which will require a significant bullish catalyst to continue higher.
The euro, on the other hand, looks to me like it ended a correction yesterday morning at 1.3835, where it managed to recover to, and accelerate from, its rising 200 DMA. If my work proves accurate, albeit a week too early, EUR/USD has started a new upleg — as difficult as that is to believe given the issues facing the PIIGS.
Originally published on MPTrader.com.
Big Oil Bell Curves (by Trade Flight Plan)
CL is offering some nice moves between daily bell curves (value areas) lately. 89.50 lows were support set back in February. The bottom three S/R levels were set back in February. The others frame key price levels from the past two months.
The two most prominent bell curves the past two weeks are at 90.50s and 95.50s. Those 95.50s were also May lows. A break on increased volume above 95.80s can see a retest of 97.80-99.00. A break on increased volume below 95.00s can revisit 93.00-93.70, possibly more. We are neither bullish nor bearish on oil – all we have are targets on both sides of this middle zone. Intraday setups will guide the way and the end of the month promises to be interesting.
With an average daily volatility of roughly $2,000 per contract each day lately, oil has been moving nicely and offering some sweet intraday setups. These will be the topic of future posts.
Commodities are, like, totally doomed…..
Hedging Update — ETFs
With weak economic data and renewed risks from the Euro zone, the Chicago Board Options Exchange Market Volatility Index (VIX) ticked up again Thursday to 22.73, its highest level since March. The table below shows the costs, as of Thursday's close, of hedging 18 of the 20 most actively-traded ETFs against greater-than-20% declines over the next several months, using the optimal puts for that. First, a reminder about why I've used 20% as a decline threshold, what optimal puts mean in this context, and a quick note about why there were no optimal puts for 2 of these ETFs.
Optimal Puts
Optimal puts are the ones that will give you the level of protection you want at the lowest possible cost. As University of Maine finance professor Dr. Robert Strong, CFA has noted, picking the most economical puts can be a complicated task. With Portfolio Armor (available on the web, and as an Apple iOS app), you just enter the symbol of the stock or ETF you're looking to hedge, the number of shares you own, and the maximum decline you're willing to risk (your threshold). Then the app uses an algorithm developed by a finance academic to sort through and analyze all of the available puts for your position, scanning for the optimal ones.
Decline Thresholds
You can enter any percentage you like for a threshold when using Portfolio Armor (the higher the percentage though, the greater the chance you will find optimal puts for your position). The idea for a 20% threshold comes, as I've mentioned before, from a comment fund manager John Hussman made in a market commentary in October 2008:
An intolerable loss, in my view, is one that requires a heroic recovery simply to break even … a short-term loss of 20%, particularly after the market has become severely depressed, should not be at all intolerable to long-term investors because such losses are generally reversed in the first few months of an advance (or even a powerful bear market rally).
Essentially, 20% is a large enough threshold that it reduces the cost of hedging but not so large that it precludes a recovery. When hedging, cost is always a concern, which is where optimal puts come in.
How Costs Are Calculated
To be conservative, Portfolio Armor calculated the costs below based on the ask prices of the optimal put options. In practice, though, an investor may be able to buy some of these put options for less (i.e., at a price between the bid and the ask).
Why There Were No Optimal Puts for VXX and FAZ
In some cases, the cost of protection may be greater than the loss you are looking to hedge against. That was the case with iPath S&P 500 VIX Short-Term (VXX) and the Direxion Daily Financial Bear 3X (FAZ). As of Thursday's close, the cost of protecting against greater-than-20% declines in those stocks over the next several months was itself greater than 20%. Because of that, Portfolio Armor indicated that no optimal contracts were found for them.
Hedging costs as of Thursday
The data in the table below is as of Thursday's close. The ETFs are listed in order of 125-day exponential moving average volume, with the most actively-traded name (SPY) at the top.
|
Symbol |
Name |
Cost of Protection (as % of position value) |
|
SPY |
SPDR S&P 500 |
1.64%* |
| XLF | Financial Select Sector SPDR | 3.44%* |
| EEM | iShares MSCI Emerging Markets | 2.82%* |
| IWM | iShares Russell 2000 Index | 2.82%* |
| QQQ | PowerShares QQQ | 2.13%* |
| SLV | iShares Silver Trust | 7.71%** |
| EWJ | iShares MSCI Japan Index | 3.21%* |
| SDS | ProShares UltraShort S&P 500 | 3.87%* |
| FAS | Direxion Daily Financial Bull 3X | No optimal puts at this threshold |
| XLE | Select Sector SPDR — Energy | 2.72%* |
| VXX | iPath S&P 500 VIX Short-Term | No optimal puts at this threshold |
| VWO | Vanguard Emerging Markets | 3.87%* |
| EFA | iShares MSCI EAFE Index | 3.72%* |
| XLI | Industrial Select Sector SPDR | 2.57%* |
| FXI | iShares FTSE China 25 Index | 2.99%** |
| GLD | SPDR Gold Shares | 0.40%* |
| USO | United States Oil | 4.57%** |
| EWZ | iShares MSCI Brazil Index | 3.61%* |
| XLB | Materials Select Sector SPDR | 3.12%* |
| SSO | ProShares Ultra S&P 500 | 7.89%* |
*Based on optimal puts expiring in December, 2011.
**Based on optimal puts expiring in January, 2012.
