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Retail sales data is a direct indicator of consumer confidence in an economy. It tracks consumer demand for goods and services. Consumer spending forms nearly 70% of the US GDP. Retail sales data measures the sales of durable and non-durable goods to gauge the strength of the economy. The US reports data every month in the form of retail sales and core retail sales. The difference is that retail sales include all segments of consumer goods, while core retail sales exclude highly volatile goods, such as gasoline, building materials and food. Both sets of data are important for traders, since they impact forex, equity and, in the longer-term, commodity prices.

Significance of Retail Sales Data

Retail sales data offers insights into various aspects of the economy, helping traders make informed decisions.

Leading Indicator of Economic Growth

Retail sales data is considered a tier-1 event. This means substantial deviation from analyst expectations can cause major market swings. Since retail sales have the largest share in the US GDP, rising sales are considered a leading indicator of the nation’s economic growth. Conversely, declining sales indicate sluggish growth.

Insights into the Fed’s Interest Rate Policy

The Fed monitors retail sales to inform its monetary policy decisions. When consumer spending declines during inflationary periods, the Fed can be expected to maintain a hawkish (characterised by high interest rates) stance, potentially allowing inflation to cool. However, if retail sales decline while inflation is also falling, the Fed may lower interest rates to stimulate economic growth by facilitating spending.

A Measure of Resilience of the Economy

Retail sales provide a more comprehensive picture of the state of the economy to traders, enabling them to make well-informed decisions. For instance, rising employment, combined with poor retail sales, indicates that consumers are cautious about the job market, hinting at economic fragility. On the other hand, when consumer spending grows with job gains, like through 2025, it indicates economic resilience.

Trading Retail Sales Data

Here’s a step-by-step strategy for trading retail sales data:

Analyse Fed Priorities

The Fed’s policies directly influence the financial markets. While incorporating retail sales data into your targeting strategy, determining the weight that the Federal Reserve intends to give it can be advantageous.

Determine Market/Analyst Expectations

Analysts issue forecasts before every data release. The markets weigh in these expectations ahead of the release. However, when the actual data substantially deviates from the expected values, there can be massive price swings. When the data is stronger than expected, it fuels bullish momentum, which is when forex and stock traders take long positions. Weaker-than-expected data triggers bearish momentum, which may weigh on the currency and the stock markets, especially those with higher weightage for retail giants, such as Target, Macy’s, Walmart, etc.

A popular technique to strengthen your retail sales trading strategy is to consider high-low forecasts. This means you consider both bearish and bullish estimates. These give deeper insights into deviations and potential market responses to the news.

Trade the Initial Reaction

The markets get highly active during the first few minutes of a data release. This is when a plethora of opportunities arise, based on the data’s surprise factor or how much the actual data deviated from expectations. Depending on your strategy, you could ride the trend or stay put. Experienced traders use technical indicators to confirm their analysis and plan their entries and exits.

The advantage of contracts for difference (CFDs) is that you can even ride a bearish trend. Derivative instruments, like CFDs, allow you to speculate on price movement in either direction, increasing the opportunities you can explore.

Monitor Revisions

Data releases can be and are often revised. It is a good idea to keep an eye out for revisions to determine if you need to tweak your trading strategy after the data is updated.

Stay Aware of Broader Trends

As mentioned above, retail sales data alone does not give a comprehensive picture of the economy and potential market movements. Combining it with inflation, GDP and jobs data can strengthen your trading strategy. A rise in retail sales, with GDP growth and a rise in wages, makes investors bullish on the economy. This is a time to go long on stocks, indices and the domestic currency. In case of discrepancies between various data points, it is better to remain cautious.

Manage Risk Well

Retail, and in fact, most data induce momentary spikes or dips in the financial markets. While taking advantage of these is important, robust risk management is equally critical. As the data can be revised, new data may alter market sentiment, and unprecedented events may trigger panic buying or sell-offs. Placing limits, such as stop loss and take profit, could lower losses in case the markets move unfavourably.

Similarly, you must size your positions carefully. Risking too much on a single position can prove counterproductive if the markets reverse suddenly. If you are sure that the momentum will be sustained, you can wait for a second wave of market reaction in your speculated direction as a confirmation and take another position. Don’t forget to hedge your positions to mitigate losses in case your prediction doesn’t pan out.

To Sum Up

  • Retail sales data is a leading indicator of the strength of an economy.
  • Trading retail sales data requires a comprehensive strategy. 
  • Understanding retail data and how it interacts with other economic releases is crucial to making informed decisions.
  • Include potential data updates and market responses after the retail data is digested in your trading strategy.
  • Risk management is critical while trading any instrument and any news update.

Disclaimer:

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