Saturday, September 1, 2012

Technical Analysis gold price predictions 2013

Technical Analysis gold price predictions 2013, chart gold prices for 2013, gold prices trend 2013 : An objective and reasonable estimate for the price of gold at the next intermediate peak (estimating 2013 – Quarter 2) is $2250 to $2550 per ounce (current price is about $1,650). This is not a prediction based on wishful thinking and hope, but a best estimate based on rational analysis of data back to 1975. The actual price for gold at its next peak could be higher or lower, and the peak might be earlier or later, but this price range and approximate time is, by this analysis, the most probable.


The actual analysis is complex, so I encourage you to focus on the conclusion above. But if technical analysis is interesting to you, please continue reading.

Until the last century, silver and gold had been money for thousands of years. During the long history of gold and silver, the price ratio of gold to silver has averaged, depending on analysis, around 15 to 20. Since 1975, it has been as low as 17 and as high as about 102. The ratio is low when silver is expensive compared to gold – which occurs at peaks in the price of gold and silver, such as in early 1980. Silver is a smaller market and much more volatile in price than gold, so the ratio can stretch one way or the other depending on the degree of speculative fervor in the market or the degree of price depression and disinterest in precious metals, such as in 1991. Extremes in the ratio usually occur at highs and lows in the prices of both metals.

How is this useful? Instead of working with the gold to silver ratio, invert it and use the silver to gold ratio. That ratio peaks with price peaks in silver and bottoms with price bottoms in silver, and it usually coincides with price peaks and bottoms in gold. However, there is no simple answer as to what ratio is “high” or “low” since the ratio might be very different between the decade of the 1970s and the 1990s. There is, however, a technical indicator called the Relative Strength Index that is normalized between 0 and 100. The RSI can be used with any time scale, such as 5 minute price data or 50 month data. The result is the same, a number between 0 and 100, with low numbers (such as 14) indicating a severely “oversold” condition and high numbers (such as 80) indicating a severely “overbought” condition.

For example, suppose silver (SI) has been rising for weeks, more rapidly than gold (GC), to a price of $40 while gold has risen to $1,600. The gold/silver ratio is 40 and the silver/gold ratio is 0.025. If we calculate the RSI of the SI/GC ratio using, say 21 weeks as the time period, the RSI formula might return a number of 78. This is a high number, particularly for a RSI of 21 weeks. This indicates that the SI/GC ratio is quite high and likely due for a fall, with silver falling much more rapidly than gold. Sounds easy, doesn’t it? The problem is that both gold and silver, while overbought, could rally further and become more overbought, and the RSI of the ratio might rise higher, say to 85, while the prices of both gold and silver jump even higher. If you had sold (when the RSI was 78), you missed some profit, and if you sold short, you incurred some losses. This is the dilemma of all traders: when to buy and when to sell. (Few people can buy at the lows and sell at the tops, so they need other tools to help time their trades.) I don’t know of any simple and fool-proof answer.

What I do know is that we can delve deeper into the above SI/GC ratio analysis and come to some high probability predictions that will give us a reasonable degree of safety and security in our quest to buy low and sell high.

Run the same Relative Strength Analysis for the SI/GC ratio, but use a longer time scale – like 40 weeks. Further, average the 40 week RSI numbers over a centered 11 week period, using the current week’s number plus the 5 weeks both before and after the current week. The result is a smoothed RSI that is centered about the relevant week in the analysis. (Clearly, the last few weeks in the series are not using the future RSI values.) This removes much of the short-term “noise” – the weekly fluctuations that mean nothing in the long term.

Calculate the 65 week simple moving average (add the prices for the last 65 weeks and divide by 65) of the actual gold prices. This produces a long-term trend for gold prices that has removed all but major fluctuations in price.

Calculate the 7 week simple moving average of the actual gold prices. This gives a short-term average that is much more volatile than the 65 week moving average.

Subtract the 65 week average from the 7 week average. Then divide by the 65 week average. This produces a percentage above or below the long-term trend of the 65 week moving average for gold. This is important because it measures a deviation from average in percentage terms, but not in actual gold prices, which have varied over the past 12 years from about $255 per ounce to $1923 per ounce. Further, it relates the percentage (over or under) to a long-term moving average, which accounts for both bear and bull markets in gold prices.

Graph the 40 week (centered) RSI of the SI/GC ratio against the percentage that the 7 week moving average of prices is above or below the 65 week moving average of prices (percentage of price deviation or PPD). The graphs of both are similar as to direction, highs, and lows.

Examine the graphs of both the RSI and the percentage of price deviation. You will find that major lows and highs in the RSI and percentage price deviation (PPD) occur roughly every 18-24 months, but the timing is not consistent enough that you would trade on these cycles. A chart since 1975 will not display well due to the amount of data. However, the following chart (data since 2005 is more manageable) shows the correlation between the RSI of the SI/GC ratio and the percentage of price deviation in gold.

Further, you will see that peaks in the PPD occur between 45 and 60 weeks after their lows and that the PPD peaks rise to an average (since 1/1/2005) of about 27%. This means that the 7 week moving average, less the 65 week moving average of price, divided by the 65 week moving average of price, peaks around 27% – perhaps 20% some years and perhaps 33% other years.

The bottoms in the RSI, after being smoothed so much, are always at or near (on a weekly scale) important bottoms in price, which occur approximately every 18-24 months.

Finally, note that an important bottom in the RSI occurred in May 2012, and that it was the second most oversold bottom in the past 12 years.

Putting this all together, we conclude:

An important bottom in the smoothed RSI and the price of gold occurred in May 2012.

The next top is due 45 to 60 weeks later, say second quarter of 2013.

When the top occurs, the PPD is likely to be around 27%. The current 65 week moving average of gold prices is about $1650. Assume that the 65 week moving average in 2013Q2 will be about $1820. If the PPD is 27% above the 65 week moving average, then the 7 week moving average would be about $2300. But the actual gold price on a daily basis tends to peak about 5% above the 7 week moving average of prices. Add another 5% to $2300 and we produce an estimated price of $2400 per ounce for gold at its next intermediate peak roughly estimated to be during 2013Q2.

If we “bracket” this estimate, the calculations would show:
a low estimate of $1800 plus 20% plus 4% = about $2250

a high estimate of $1850 plus 30% plus 6% = about $2550

Hence, a price of $2250 to $2550 is reasonable for a most likely estimate of the next intermediate peak in gold.

Is this consistent with any other estimates? A graph of gold on a semi-log price chart shows an exponential rise for the past decade. A long-term trend channel that includes all but extremes in high prices passes through $2400 about the end of 2013Q2, with a chance of a 3% to 5% overshoot, as happened in 2006, 2008, and 2011. Hence, the trend channel indicates that even a peak price of $2550 is not unlikely.


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