Apparel Retailers industry

Monitor and predict the growth prospects and potential risks of the Apparel Retailers industry by examining the financial and macroeconomic factors affecting it and the latest Apparel Retailers news tracked by MacroVar. Sign Up Free to get notified instantly on the latest Apparel Retailers updates and get full access to MacroVar advanced analytics of Global Financial Markets, Economies and Financial Risk.

Click to explore the factors and the financial models used by MacroVar to analyze the Apparel Retailers industry trend, growth prospects and risks.

Apparel Retailers industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Apparel Retailers industry US.APPARRETAILERS 1222.72 1 1 2.08789 67.8636 -1.7 1.44 -2.86 0.09314

Apparel Retailers industry News

Apparel Retailers industry Analysis

MacroVar monitors the performance, risk, trend and momentum of the Apparel Retailers industry by examining the stock and credit performance of major Apparel Retailers companies across the US, Europe, Eastern Europe and Asia Pacific. Apparel Retailers Stock performance is monitored by analyzing STOXX equity indices of major Apparel Retailers companies while Apparel Retailers credit performance is monitored by analyzing Markit iBoxx credit indices reflecting the performance of the Apparel Retailers high yield corporate bond market.

MacroVar also monitors fundamental indicators closely linked to the Apparel Retailers sector published monthly including analysis of sector specific PMI indicators, components of Manufacturing & Services PMI and Economic Sentiment Indicators analysis.

MacroVar also monitors other factors closely related to the Apparel Retailers industry like closely related financial markets or macroeconmic indicators.

MacroVar estimates the following signals:: Apparel Retailers momentum, Apparel Retailers trend, Apparel Retailers oscillator, Apparel Retailers RSI and Apparel Retailers returns.

Apparel Retailers industry Description

The subsector of Apparel Retailers includes Retailers and wholesalers specializing mainly in clothing, shoes, jewelry, sunglasses and other accessories.

Apparel Retailers industry Momentum

Momentum is used to capture moves in shorter timeframes than trends. Momentum is the relative change occurring in markets. Relative change is different to a trend. A long-term trend can be up but the short-term momentum of a specific market can be 0. If a market moves down and then moves up and then moves back down the net relative change in price is 0. That means momentum is 0. A short-term positive momentum, with a long-term downtrend results in markets with no momentum.

MacroVar Apparel Retailers momentum signal ranges from -100 to +100. The Apparel Retailers momentum signal is derived as the mean value from 4 calculations for the Apparel Retailers . The timeframes monitored are the following: 1 Day (1 trading day), 1 Week (5 trading days), 1 Month (20 trading days), 3 Months (60 trading days)
For each timeframe, the following calculations are performed: 1. Apparel Retailers return is calculated for the specific timeframe and 2. if the return calculated is higher than 0, signal value output is 1 else signal value is -1. Apparel Retailers momentum signal is the aggregate of the the 4 values. A technical momentum rollover is identified when Apparel Retailers momentum signal moves from positive to negative value or vice-versa.

Apparel Retailers industry trend

Apparel Retailers trend signal ranges from -100 to +100. Apparel Retailers trend indicator is the mean value of the 8 calculations described below. The timeframes monitored are the following: 1-month (20 trading days), 3-months (60 trading days), 6-months (125 trading days), 1-year (250 trading days)
For each timeframe, the following calculations are performed: 1. Apparel Retailers Closing price vs Apparel Retailers moving average (MA) calculation: If Apparel Retailers is greater than Apparel Retailers MA value is +1, else -1, 2. Apparel Retailers Moving average slope calculation: if current Apparel Retailers moving average is higher than the previous MA, Apparel Retailers upward slope +1, else -1
Apparel Retailers trend model can be used as a trend strength indicator. Apparel Retailers trend strength values ranging between +75 and +100 or -75 and -100 show strong trend strength.
A technical trend rollover is identified when Apparel Retailers trend strength indicator moves from positive to negative value or vice-versa.

The most important trend indicator
The Apparel Retailers 52-week simple moving average and its slope are the most important indicators defining a market’s trend. Apparel Retailers is in an uptrend when Apparel Retailers price is higher than the 52-week moving average and the Apparel Retailers 52-week moving average has an upward slope. If fundamentals of the market have not changed and the moving average slope is still in uptrend, a price drop signifies a market correction and not a change of trend. Traders should watch oscillators like the Apparel Retailers oscillator and Apparel Retailers RSI to buy the dip and still follow the trend. The moving average slope turn signifies a change of trend.

Apparel Retailers industry oscillator

The Apparel Retailers oscillator estimated by MacroVar is the z-score of the currentApparel Retailers price versus Apparel Retailers 1-year simple moving average price. The formula for the Apparel Retailers oscillator is:
Apparel Retailers oscillator = (Current Price – 250 trading days Apparel Retailers simple moving average price) / (250 days Apparel Retailers price standard deviation)

Apparel Retailers oversold conditions
Apparel Retailers is oversold when it is subject to a persistent downward pressure due to extreme fund outflows. When the Apparel Retailers is oversold it is often due for a rebound. Values of the Apparel Retailers oscillator lower than -2.5 signify oversold conditions. It must be noted that the Apparel Retailers oscillator must be analyzed ibn conjunction with the rest ofApparel Retailers quantitative factors. Traders should pay less attention to overbought or oversold conditions during strong trends. They should pay close attention during counter trends and all combined with the Apparel Retailers RSI.
Apparel Retailers overbought conditions
Apparel Retailers is overbought when it is subject to a persistent upward pressure due to extreme fund inflows. When the Apparel Retailers is overbought it is often due for a correction. Values of the Apparel Retailers oscillator higher than +2.5 signify overbought conditions. It must be noted that the MacroVar oscillator must be compared to the rest of the Apparel Retailers quantitative factors. Traders should pay less attention to overbought or oversold conditions during strong trends. They should pay close attention during counter trends and all combined with the RSI.

Apparel Retailers RSI indicator

The RSI indicator measures the speed and change of price movements. The RSI indicator oscillates between 0 and 100. RSI is a useful indicator during normal trending market conditions when an asset price oscillates around its trend value. During big moves and strong trends however, like short squeezes or price spikes RSI and other oscillators don’t work.
During normal trend market conditions and when Apparel Retailers is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringApparel Retailers uptrend, RSI values of 40 to 50 signify oversold conditions before the uptrend is ready to resume. It is strongly not recommended to enter a position when the RSI is “overbought” and falling or vice versa.

Apparel Retailers industry returns

MacroVar calculates Apparel Retailers returns for the following timeframes: Daily, Weekly, Monthly, Yearly. The formula for calculating returns is:

Apparel Retailers returns = (Apparel Retailers Closing Price – Apparel Retailers Previous Price)/(Apparel Retailers Previous Price)

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