## Sunday, December 16, 2012

## Friday, December 14, 2012

### The VIX

Pretty much 100% of my trading time is now spent on VIX futures. There are philosophical reasons for this approach at this time which are too long to detail here. The summary is that the VIX seems to be relatively immune to the noise generated by HFT and stop-loss discovery algos. I abandoned structural modeling for this project and used a neural network, formally an "SVM" or support vector machine for data crunching. I have been long since 2012.11.21 at the close and it looks like today the output suggests continuing a long position. For the next month, I will post daily updates here on what the VIX model indicates. This is of course purely for amusement purposes.

I have found the stop price to be reasonably well estimated by taking a moving standard deviation of the time series over 8 days, and subtracting three times its value from the previous closing price. Wash sales are highly annoying!

I have found the stop price to be reasonably well estimated by taking a moving standard deviation of the time series over 8 days, and subtracting three times its value from the previous closing price. Wash sales are highly annoying!

**2012.11.21**15.31 BUY at the close**2012.12.13**16.56 stop @ 15.39### 2012.12.14 Monthly Silver Cycle Chart

This is the new cycle model for silver. It has been pruned so that all data inputs are directly related to the time series and nothing else. All cycles with periods less than 233 days were also eliminated from the analysis because short-term fluctuations were much less helpful in decreasing error than has been the case in the past. I'll see if I can update it at least monthly.

### 2012.12.14 Monthly DJIA Cycle Charts

I have been slowly rebuilding the cycle models, which are now less complex as a result of the input data pruning. As promised, here is the new cycle model for the DJIA. One of the cycle model inputs, a cyclical model of its own relating the yield curve spread and rate of change of US monetary aggregates is worse than useless and was contributing to the increasing error. I have also dropped all inputs regarding employment data from the US BLS. The increasing second-degree fluctuation of their short-term variance convinced me that the set of data I was using contained more noise than information. The academic question is now not whether Fed interventions can change business cycle amplitude and phase, but by how much and over what time window. Right now, it looks like the long-term cycles with a period > 8 years are stable since 1896, and it is the noise in the shorter cycles that created the error in the previous model version beginning around early 2010. So according to the model, we might have topped out on the DJIA.

## Monday, July 23, 2012

### 2012.07.20 Weekly Cycle Charts

The predictive curves of the short-term cycle models for the DJIA, Gold, Silver and the Amex Oil Index are all showing strong downward trends for this week going to the end of July. The Amex Oil Index is set to make a multidecadal low by the end of July, followed by a strong uptrend for the rest of the year.

I am pressed for time and will provide the longer term models only at the beginning of each month. My apologies are extended if this causes readers any inconvenience.

## Saturday, June 16, 2012

### 2012.06.15 Weekly DJIA $ Gold $ Silver $ Oil

The cycle models suggest downward pressure on prices for the DJIA, Gold and Oil, while the Silver cycle model hints at higher prices for silver over the next 4 weeks peaking at about the $30/oz range. Have a great weekend!

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## Saturday, May 5, 2012

### 2012.05.04 Weekly DJIA $ Gold $ Silver $ Oil

The long term cycle model for the DJIA continues to underestimate the price of the time series, but the short term cycle model seems to be working reasonably well. For my comments on the long term model for the DJIA please refer to previous posts. The increase in VIX suggests that maybe, just maybe we might be heading for a major correction in the equity markets.

The other three models are performing well. The short term silver cycle model suggests a small rise in silver prices next week, followed by a resumption of the decline.

Enjoy the very large Full Moon this evening, along with the eta Aquarid meteor shower, and have a great weekend!

Visit econocasts.net for free sample trading model downloads.

Visit econocasts.net for free sample trading model downloads.

## Wednesday, May 2, 2012

### 2012.05.01 Long Term DJIA $ Gold $ Silver $ Oil

These cyclic structural models are not designed to be used as trading models. These models perform with less error on the time scale compared to the price scale, and are best interpreted by putting more credence in the turning points rather than actual prices. With that in mind, here is the long term DJIA model, which has been performing poorly as a short term indicator of market movements. When backtested at decadal time scales, the DJIA model still has some validity, so I am showing the chart which must, by necessity, include the shorter time scale parameters. There is always the possibility of a "6-sigma event" in terms of short-term model divergence, which will become apparent with time if true. The event itself may reflect the concerted effort of Western Central Banks to push forward the "Minsky Moment" by recursively capitalizing banks that have lost assets. Or, it could just be a lousy model.

Both gold and silver models are performing well in the short term, so it is interesting to look at the long term picture. I extended the time range to 2024 to capture the parallel behavior of the gold and DJIA models. To engage in a bit of fantasy - it makes a nice story that somewhere around 2016, instead of being issued as debt, large quantities of money are added to the world economy by concerted monetization of government held bonds. I could see the rise in gold and DJIA as a reflection of a Von Mises "crack-up boom." Thorsten Polleit has a nice essay on the subject.

I don't have any reasonable ideas regarding the divergence of gold and silver, however, these are just models so reality may intervene!

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## Friday, April 20, 2012

### 2012.04.20 Weekly DJIA $ Gold $ Silver $ Oil

I developed the very short time frame child cycle models to deal with short term anomalies in the time series due to the likely consequences of daily robot manged trades. I think that the DJIA very short term time frame model had the most benefit - since the last few months have been characterized by non-linear parameters in the DJIA time series that are highly deviant from the usual "degree of randomness" or "predictability."

All three Gold, Silver and Amex Oil cycle models are performing well. Silver may experience a bounce to over $33 in the next week or two before downward price pressure resumes. If you are under clear skies - enjoy the Lyrid meteor shower over the weekend!

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## Sunday, April 15, 2012

### 2012.04.13 Amex Oil Index

The AMEX oil index (XOI.X) has been formally backtested so I have removed the "experimental" tag. It appears that while the time series for this cycle model is relatively short. there was enough cycle information so that it retains reasonable predictive value. The link for the prevous chart: Econocasts business cycle chronicles: 2012.04.04 Experimental Amex Oil Index.

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## Saturday, March 24, 2012

### 2012.03.23 Weekly DJIA $ Gold $ Silver

Very Short Time Frame Predictions

The Gold model has been working well, now predicting significantly lower prices over the next month. $1450 +/- a lot looks possible.

The Silver model is also working well, suggesting some upward pressure on Silver - to the upside of $35/oz in the first few weeks of April.

The DJIA model is probably broken - but I will continue to run it and post it so I can look like a genius if the DJIA drops 2000 points in a short time frame. I don't have time to even think about constructing another DJIA model for at least the next few months.

The DJIA model insists on treating the current actual price curve as "noise" while the prediction curve bounds downwards. I will explain this briefly. If the model detects highly non-random time series behavior during a window of analysis, it weighs those points less than if the time series is exhibiting its usual and customary non-linear signatures. So - as long as the DJIA time series that "takes off" the predictive curve continues to exhibit an odd signature, the model will continue to discount them. You don't have to be a mathematician to appreciate that the "texture" of the time series of the DJIA is much smoother than usual. That is exactly what is being translated into something the model can handle. This is not an apology for a bad model - it is what it is. There were very good reasons to include that module in the model. As long as the model continues to run - I'll keep posting it.

Have a nice early Spring or Fall week!

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## Friday, March 9, 2012

### 2012.03.09 Weekly DJIA $ Gold $ Silver Predictions

Very short time frame charts

The structural models for gold and silver seem to be working out well - but the DJIA structural model is still, to put it kindly, in flux. A non-technical explanation is that while these models are adaptive up to a point - that is they can modify their parameters with new data - the DJIA model is treating the 45 degree angle spike off the predictive curve as short term volatility because of the non-linear signature of the time series at that point. You don't need fancy math to see that the texture of the time series at the point where the actual DJIA curve jumps off the predicted curve is very different from the rest of the curve - and this is occurring at different time scales. Which does not mean the model is correct, it is just an interesting development.

I hope everyone has a good weekend - and if you are close to the poles, enjoy the nice Aurora Borealis/Australis!

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