Consumer Goods industry

Monitor and predict the growth prospects and potential risks of the Consumer Goods industry by examining the financial and macroeconomic factors affecting it and the latest Consumer Goods news tracked by MacroVar. Sign Up Free to get notified instantly on the latest Consumer Goods 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 Consumer Goods industry trend, growth prospects and risks.

Consumer Goods industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Consumer Goods industry US.CONSGOODS 936.51 0 -0.25 -0.33458 50.7052 0.0138 0.06462 -0.03107 0.05104
Europe Consumer Goods industry EU.CONSGOODS 1439.13 0 0.75 0.09072 51.9469 -1.46 1.2 3.48 -0.04157
US Consumer Goods Credit Spreads US.CONSGOODS.CR 151.81 0 0.75 2.59521 50.2284 -0.00452 -0.10198 0.04769 0.49096
Europe Consumer Goods Credit Spreads EU.CONSGOODS.CR 149.93 0 0.75 2.712 55.8792 -0.01277 -0.05084 0.1078 0.5117

Consumer Goods industry News

Consumer Goods industry Analysis

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

MacroVar also monitors fundamental indicators closely linked to the Consumer Goods 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 Consumer Goods industry like closely related financial markets or macroeconmic indicators.

MacroVar estimates the following signals:: Consumer Goods momentum, Consumer Goods trend, Consumer Goods oscillator, Consumer Goods RSI and Consumer Goods returns.

Consumer Goods industry Description

The consumer goods industry includes the supersectors of Automobiles & Parts, Food & Beverage and Personal & Household Goods.
The sector of Automobiles & Parts includes the subsectors of Automobiles, Auto Parts, and Tires.
The sector of Food & Beverage includes the subsectors of Beverages and Food Producers.
The sector of Personal & Household Goods includes the subsectors of Household Goods & Home Construction, Leisure Goods, Personal Goods and Tobacco.

Consumer Goods 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 Consumer Goods momentum signal ranges from -100 to +100. The Consumer Goods momentum signal is derived as the mean value from 4 calculations for the Consumer Goods . 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. Consumer Goods 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. Consumer Goods momentum signal is the aggregate of the the 4 values. A technical momentum rollover is identified when Consumer Goods momentum signal moves from positive to negative value or vice-versa.

Consumer Goods industry trend

Consumer Goods trend signal ranges from -100 to +100. Consumer Goods 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. Consumer Goods Closing price vs Consumer Goods moving average (MA) calculation: If Consumer Goods is greater than Consumer Goods MA value is +1, else -1, 2. Consumer Goods Moving average slope calculation: if current Consumer Goods moving average is higher than the previous MA, Consumer Goods upward slope +1, else -1
Consumer Goods trend model can be used as a trend strength indicator. Consumer Goods trend strength values ranging between +75 and +100 or -75 and -100 show strong trend strength.
A technical trend rollover is identified when Consumer Goods trend strength indicator moves from positive to negative value or vice-versa.

The most important trend indicator
The Consumer Goods 52-week simple moving average and its slope are the most important indicators defining a market’s trend. Consumer Goods is in an uptrend when Consumer Goods price is higher than the 52-week moving average and the Consumer Goods 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 Consumer Goods oscillator and Consumer Goods RSI to buy the dip and still follow the trend. The moving average slope turn signifies a change of trend.

Consumer Goods industry oscillator

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

Consumer Goods oversold conditions
Consumer Goods is oversold when it is subject to a persistent downward pressure due to extreme fund outflows. When the Consumer Goods is oversold it is often due for a rebound. Values of the Consumer Goods oscillator lower than -2.5 signify oversold conditions. It must be noted that the Consumer Goods oscillator must be analyzed ibn conjunction with the rest ofConsumer Goods 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 Consumer Goods RSI.
Consumer Goods overbought conditions
Consumer Goods is overbought when it is subject to a persistent upward pressure due to extreme fund inflows. When the Consumer Goods is overbought it is often due for a correction. Values of the Consumer Goods oscillator higher than +2.5 signify overbought conditions. It must be noted that the MacroVar oscillator must be compared to the rest of the Consumer Goods 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.

Consumer Goods 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 Consumer Goods is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringConsumer Goods 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.

Consumer Goods industry returns

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

Consumer Goods returns = (Consumer Goods Closing Price – Consumer Goods Previous Price)/(Consumer Goods Previous Price)

Consumer Goods industry

Monitor and predict the growth prospects and potential risks of the Consumer Goods industry by examining the financial and macroeconomic factors affecting it and the latest Consumer Goods news tracked by MacroVar. Sign Up Free to get notified instantly on the latest Consumer Goods 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 Consumer Goods industry trend, growth prospects and risks.

Consumer Goods industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Consumer Goods industry US.CONSGOODS 936.51 0 -0.25 -0.33458 50.7052 0.0138 0.06462 -0.03107 0.05104
Europe Consumer Goods industry EU.CONSGOODS 1439.13 0 0.75 0.09072 51.9469 -1.46 1.2 3.48 -0.04157
US Consumer Goods Credit Spreads US.CONSGOODS.CR 151.81 0 0.75 2.59521 50.2284 -0.00452 -0.10198 0.04769 0.49096
Europe Consumer Goods Credit Spreads EU.CONSGOODS.CR 149.93 0 0.75 2.712 55.8792 -0.01277 -0.05084 0.1078 0.5117

Consumer Goods industry News

Consumer Goods industry Analysis

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

MacroVar also monitors fundamental indicators closely linked to the Consumer Goods 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 Consumer Goods industry like closely related financial markets or macroeconmic indicators.

MacroVar estimates the following signals:: Consumer Goods momentum, Consumer Goods trend, Consumer Goods oscillator, Consumer Goods RSI and Consumer Goods returns.

Consumer Goods industry Description

The consumer goods industry includes the supersectors of Automobiles & Parts, Food & Beverage and Personal & Household Goods.
The sector of Automobiles & Parts includes the subsectors of Automobiles, Auto Parts, and Tires.
The sector of Food & Beverage includes the subsectors of Beverages and Food Producers.
The sector of Personal & Household Goods includes the subsectors of Household Goods & Home Construction, Leisure Goods, Personal Goods and Tobacco.

Consumer Goods 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 Consumer Goods momentum signal ranges from -100 to +100. The Consumer Goods momentum signal is derived as the mean value from 4 calculations for the Consumer Goods . 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. Consumer Goods 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. Consumer Goods momentum signal is the aggregate of the the 4 values. A technical momentum rollover is identified when Consumer Goods momentum signal moves from positive to negative value or vice-versa.

Consumer Goods industry trend

Consumer Goods trend signal ranges from -100 to +100. Consumer Goods 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. Consumer Goods Closing price vs Consumer Goods moving average (MA) calculation: If Consumer Goods is greater than Consumer Goods MA value is +1, else -1, 2. Consumer Goods Moving average slope calculation: if current Consumer Goods moving average is higher than the previous MA, Consumer Goods upward slope +1, else -1
Consumer Goods trend model can be used as a trend strength indicator. Consumer Goods trend strength values ranging between +75 and +100 or -75 and -100 show strong trend strength.
A technical trend rollover is identified when Consumer Goods trend strength indicator moves from positive to negative value or vice-versa.

The most important trend indicator
The Consumer Goods 52-week simple moving average and its slope are the most important indicators defining a market’s trend. Consumer Goods is in an uptrend when Consumer Goods price is higher than the 52-week moving average and the Consumer Goods 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 Consumer Goods oscillator and Consumer Goods RSI to buy the dip and still follow the trend. The moving average slope turn signifies a change of trend.

Consumer Goods industry oscillator

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

Consumer Goods oversold conditions
Consumer Goods is oversold when it is subject to a persistent downward pressure due to extreme fund outflows. When the Consumer Goods is oversold it is often due for a rebound. Values of the Consumer Goods oscillator lower than -2.5 signify oversold conditions. It must be noted that the Consumer Goods oscillator must be analyzed ibn conjunction with the rest ofConsumer Goods 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 Consumer Goods RSI.
Consumer Goods overbought conditions
Consumer Goods is overbought when it is subject to a persistent upward pressure due to extreme fund inflows. When the Consumer Goods is overbought it is often due for a correction. Values of the Consumer Goods oscillator higher than +2.5 signify overbought conditions. It must be noted that the MacroVar oscillator must be compared to the rest of the Consumer Goods 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.

Consumer Goods 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 Consumer Goods is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringConsumer Goods 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.

Consumer Goods industry returns

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

Consumer Goods returns = (Consumer Goods Closing Price – Consumer Goods Previous Price)/(Consumer Goods Previous Price)

Consumer Goods industry

Monitor and predict the growth prospects and potential risks of the Consumer Goods industry by examining the financial and macroeconomic factors affecting it and the latest Consumer Goods news tracked by MacroVar. Sign Up Free to get notified instantly on the latest Consumer Goods 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 Consumer Goods industry trend, growth prospects and risks.

Consumer Goods industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Consumer Goods industry US.CONSGOODS 936.51 0 -0.25 -0.33458 50.7052 0.0138 0.06462 -0.03107 0.05104
Europe Consumer Goods industry EU.CONSGOODS 1439.13 0 0.75 0.09072 51.9469 -1.46 1.2 3.48 -0.04157
US Consumer Goods Credit Spreads US.CONSGOODS.CR 151.81 0 0.75 2.59521 50.2284 -0.00452 -0.10198 0.04769 0.49096
Europe Consumer Goods Credit Spreads EU.CONSGOODS.CR 149.93 0 0.75 2.712 55.8792 -0.01277 -0.05084 0.1078 0.5117

Consumer Goods industry News

Consumer Goods industry Analysis

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

MacroVar also monitors fundamental indicators closely linked to the Consumer Goods 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 Consumer Goods industry like closely related financial markets or macroeconmic indicators.

MacroVar estimates the following signals:: Consumer Goods momentum, Consumer Goods trend, Consumer Goods oscillator, Consumer Goods RSI and Consumer Goods returns.

Consumer Goods industry Description

The consumer goods industry includes the supersectors of Automobiles & Parts, Food & Beverage and Personal & Household Goods.
The sector of Automobiles & Parts includes the subsectors of Automobiles, Auto Parts, and Tires.
The sector of Food & Beverage includes the subsectors of Beverages and Food Producers.
The sector of Personal & Household Goods includes the subsectors of Household Goods & Home Construction, Leisure Goods, Personal Goods and Tobacco.

Consumer Goods 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 Consumer Goods momentum signal ranges from -100 to +100. The Consumer Goods momentum signal is derived as the mean value from 4 calculations for the Consumer Goods . 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. Consumer Goods 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. Consumer Goods momentum signal is the aggregate of the the 4 values. A technical momentum rollover is identified when Consumer Goods momentum signal moves from positive to negative value or vice-versa.

Consumer Goods industry trend

Consumer Goods trend signal ranges from -100 to +100. Consumer Goods 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. Consumer Goods Closing price vs Consumer Goods moving average (MA) calculation: If Consumer Goods is greater than Consumer Goods MA value is +1, else -1, 2. Consumer Goods Moving average slope calculation: if current Consumer Goods moving average is higher than the previous MA, Consumer Goods upward slope +1, else -1
Consumer Goods trend model can be used as a trend strength indicator. Consumer Goods trend strength values ranging between +75 and +100 or -75 and -100 show strong trend strength.
A technical trend rollover is identified when Consumer Goods trend strength indicator moves from positive to negative value or vice-versa.

The most important trend indicator
The Consumer Goods 52-week simple moving average and its slope are the most important indicators defining a market’s trend. Consumer Goods is in an uptrend when Consumer Goods price is higher than the 52-week moving average and the Consumer Goods 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 Consumer Goods oscillator and Consumer Goods RSI to buy the dip and still follow the trend. The moving average slope turn signifies a change of trend.

Consumer Goods industry oscillator

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

Consumer Goods oversold conditions
Consumer Goods is oversold when it is subject to a persistent downward pressure due to extreme fund outflows. When the Consumer Goods is oversold it is often due for a rebound. Values of the Consumer Goods oscillator lower than -2.5 signify oversold conditions. It must be noted that the Consumer Goods oscillator must be analyzed ibn conjunction with the rest ofConsumer Goods 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 Consumer Goods RSI.
Consumer Goods overbought conditions
Consumer Goods is overbought when it is subject to a persistent upward pressure due to extreme fund inflows. When the Consumer Goods is overbought it is often due for a correction. Values of the Consumer Goods oscillator higher than +2.5 signify overbought conditions. It must be noted that the MacroVar oscillator must be compared to the rest of the Consumer Goods 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.

Consumer Goods 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 Consumer Goods is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringConsumer Goods 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.

Consumer Goods industry returns

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

Consumer Goods returns = (Consumer Goods Closing Price – Consumer Goods Previous Price)/(Consumer Goods Previous Price)

Consumer Goods industry

Monitor and predict the growth prospects and potential risks of the Consumer Goods industry by examining the financial and macroeconomic factors affecting it and the latest Consumer Goods news tracked by MacroVar. Sign Up Free to get notified instantly on the latest Consumer Goods 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 Consumer Goods industry trend, growth prospects and risks.

Consumer Goods industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Consumer Goods industry US.CONSGOODS 936.51 0 -0.25 -0.33458 50.7052 0.0138 0.06462 -0.03107 0.05104
Europe Consumer Goods industry EU.CONSGOODS 1439.13 0 0.75 0.09072 51.9469 -1.46 1.2 3.48 -0.04157
US Consumer Goods Credit Spreads US.CONSGOODS.CR 151.81 0 0.75 2.59521 50.2284 -0.00452 -0.10198 0.04769 0.49096
Europe Consumer Goods Credit Spreads EU.CONSGOODS.CR 149.93 0 0.75 2.712 55.8792 -0.01277 -0.05084 0.1078 0.5117

Consumer Goods industry News

Consumer Goods industry Analysis

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

MacroVar also monitors fundamental indicators closely linked to the Consumer Goods 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 Consumer Goods industry like closely related financial markets or macroeconmic indicators.

MacroVar estimates the following signals:: Consumer Goods momentum, Consumer Goods trend, Consumer Goods oscillator, Consumer Goods RSI and Consumer Goods returns.

Consumer Goods industry Description

The consumer goods industry includes the supersectors of Automobiles & Parts, Food & Beverage and Personal & Household Goods.
The sector of Automobiles & Parts includes the subsectors of Automobiles, Auto Parts, and Tires.
The sector of Food & Beverage includes the subsectors of Beverages and Food Producers.
The sector of Personal & Household Goods includes the subsectors of Household Goods & Home Construction, Leisure Goods, Personal Goods and Tobacco.

Consumer Goods 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 Consumer Goods momentum signal ranges from -100 to +100. The Consumer Goods momentum signal is derived as the mean value from 4 calculations for the Consumer Goods . 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. Consumer Goods 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. Consumer Goods momentum signal is the aggregate of the the 4 values. A technical momentum rollover is identified when Consumer Goods momentum signal moves from positive to negative value or vice-versa.

Consumer Goods industry trend

Consumer Goods trend signal ranges from -100 to +100. Consumer Goods 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. Consumer Goods Closing price vs Consumer Goods moving average (MA) calculation: If Consumer Goods is greater than Consumer Goods MA value is +1, else -1, 2. Consumer Goods Moving average slope calculation: if current Consumer Goods moving average is higher than the previous MA, Consumer Goods upward slope +1, else -1
Consumer Goods trend model can be used as a trend strength indicator. Consumer Goods trend strength values ranging between +75 and +100 or -75 and -100 show strong trend strength.
A technical trend rollover is identified when Consumer Goods trend strength indicator moves from positive to negative value or vice-versa.

The most important trend indicator
The Consumer Goods 52-week simple moving average and its slope are the most important indicators defining a market’s trend. Consumer Goods is in an uptrend when Consumer Goods price is higher than the 52-week moving average and the Consumer Goods 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 Consumer Goods oscillator and Consumer Goods RSI to buy the dip and still follow the trend. The moving average slope turn signifies a change of trend.

Consumer Goods industry oscillator

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

Consumer Goods oversold conditions
Consumer Goods is oversold when it is subject to a persistent downward pressure due to extreme fund outflows. When the Consumer Goods is oversold it is often due for a rebound. Values of the Consumer Goods oscillator lower than -2.5 signify oversold conditions. It must be noted that the Consumer Goods oscillator must be analyzed ibn conjunction with the rest ofConsumer Goods 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 Consumer Goods RSI.
Consumer Goods overbought conditions
Consumer Goods is overbought when it is subject to a persistent upward pressure due to extreme fund inflows. When the Consumer Goods is overbought it is often due for a correction. Values of the Consumer Goods oscillator higher than +2.5 signify overbought conditions. It must be noted that the MacroVar oscillator must be compared to the rest of the Consumer Goods 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.

Consumer Goods 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 Consumer Goods is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringConsumer Goods 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.

Consumer Goods industry returns

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

Consumer Goods returns = (Consumer Goods Closing Price – Consumer Goods Previous Price)/(Consumer Goods Previous Price)