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Forex Elliott Wave

How to Use ETFs to Create Spreads

Exchange-Traded Funds, or better known as ETFs, are investment instruments that are traded in a centralized market. In this educational article, we will see how we can use them to create negotiating opportunities.

Exploring Markets and Diversification

In financial markets, there are virtually unlimited possibilities for investment. Decisions such as what to buy? What to sell? As well as the geographical region, level of risk, liquidity of the market or assets, expected profitability, among other aspects, are factors that an investor can face when planning his future investment.

Use of Intermarket Spreads

In simple words, a spread is a strategy on which the investor buys one market and sells another market simultaneously. For example, in the currency market, an investor could buy a contract of €100,000 and simultaneously sell a 100,000 euro on pounds sterling. In other words, this trade is equivalent to go long in the EUR/GBP spread.

Creating a Spread with ETFs

We can create different spreads according to the market in which we are interested in investing. To this end, the decision criteria will be those ETFs with higher liquidity. The following tables represent ETFs that are associated with commodities, particularly Gold and Silver.

Table 1 – ETFs Based on Gold

Table 2 – ETFs Based on Silver

From tables 1 and 2, we see that ETFs GLD and SLV record the largest size in each group. Consequently, they will be used for the construction of the GLD/SLV spread.

The GLD/SLV spread in its daily chart shows both precious metals developing a corrective structure as a B wave. Therefore, the Gold/Silver spread could see a new low. In other words, we expect a decline in GLD and an upside in SLV.

The following example shows the spread between SPY and QQQ in its daily chart. The ETF SPY is characterized by replicating the S&P 500 index, while QQQ replicates the NASDAQ 100 index.

In the spread graph SPY/QQQ, we detect that the price is developing an Ending Diagonal structure in a bearish cycle. Also, although QQQ continues to push downwards in front of the SPY, it should be noted that this pattern is an exhaustion formation. Thus, it is likely that these markets reverse soon. In this case, the positioning strategy would be a long position in SPY and another short position in QQQ.

Conclusion

After the analysis made here, you may see that everything traded, including pairs, can be considered as spread bets between an asset the underlying payment method. It is just that, considering the relative stability of fiat money it makes more sense to use the term spread when exchanging two volatile assets, as one of the main objectives of spread bets is to tame the overall market volatility since the investor is selling and buying volatility at the same time.

According to what here is exposed, the creation of spreads can help explore the strength/ weakness situation between markets. Likewise, the exercise could help to make decisions on which assets to choose. It should be emphasized that before entering a market, the  spread’s price action must confirm the movement that is predicted.

Finally, this type of analysis can be extended to the futures market between futures contracts with different or similar expirations. This kind of analysis can also be applied in the stocks market, bonds, etc.

Categories
Forex Elliott Wave

Elliott Wave Principle – Advanced Concepts – Part 1

Intermarket Analysis studies the correlation or relationship between different markets or assets. In this educational article, we will review how to apply the correlation analysis within the Elliott Wave Principle.

The basics

In financial markets, we use the correlation to measure the relationship between two or more assets. These assets can be from the same or different markets.

For example, we can analyze the relationship between a commodity and a currency pair. In the first figure, we observe the relationship between Crude Oil (NYMEX:CL) and the FX pair US Dollar – Canadian Dollar (USDCAD).

From the figure, we observe that Crude Oil holds an inverse relationship with USDCAD. It means that, if CL soars, the USDCAD should decrease, and vice-versa. This type of correlation is known as negative or inverse correlation.

In the contrarian case, when an asset moves in the same direction that the second one is known as positive or direct correlation.

The second key concept in the Intermarket analysis is convergence and divergence. In the same way that we use and identify divergences, or deviations, on technical indicators, we use it with correlations. Divergences allow us to foresee the exhaustion of a sequence.

From the figure one, we identified the divergence with the red arrow. In the example, we observe at the end of a wave, when Crude Oil soars, the Loonie decreases. In general, we find divergences when the fifth wave is in progress.

Putting all together

The next chart corresponds to the NASDAQ Biotechnology ETF (IBB) and the stock price chart of MERCK & Co. (MRK), in the weekly timeframe and log scale.

In this case, both assets belong to the same sector. Thus, we expect a positive correlation with each other. From the chart, we observe that IBB and MRK started a rally in the third quarter of 2009.

MRK looks like it’s near to end the bull trend; however, IBB unveils an incomplete bullish five-waves sequence.

Finally, please, note how the divergence appears at the end of the third wave on IBB, while MRK started the wave four.