Food Products industry

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

Food Products industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Food Products industry US.FOODPRODUCTS 631.95 0 0.25 0.56969 44.0477 -0.00455 0.01822 -0.03184 0.03961

Food Products industry News

Food Products industry Analysis

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

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

MacroVar estimates the following signals:: Food Products momentum, Food Products trend, Food Products oscillator, Food Products RSI and Food Products returns.

Food Products industry Description

The subsector of Food Products includes Food producers, including meatpacking, snacks, fruits, vegetables, dairy products and frozen seafood. Includes producers of pet food and manufacturers of dietary supplements, vitamins and related items

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

Food Products industry trend

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

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

Food Products industry oscillator

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

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

Food Products 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 Food Products is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringFood Products 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.

Food Products industry returns

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

Food Products returns = (Food Products Closing Price – Food Products Previous Price)/(Food Products Previous Price)

Food Products industry

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

Food Products industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Food Products industry US.FOODPRODUCTS 631.95 0 0.25 0.56969 44.0477 -0.00455 0.01822 -0.03184 0.03961

Food Products industry News

Food Products industry Analysis

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

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

MacroVar estimates the following signals:: Food Products momentum, Food Products trend, Food Products oscillator, Food Products RSI and Food Products returns.

Food Products industry Description

The subsector of Food Products includes Food producers, including meatpacking, snacks, fruits, vegetables, dairy products and frozen seafood. Includes producers of pet food and manufacturers of dietary supplements, vitamins and related items

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

Food Products industry trend

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

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

Food Products industry oscillator

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

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

Food Products 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 Food Products is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringFood Products 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.

Food Products industry returns

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

Food Products returns = (Food Products Closing Price – Food Products Previous Price)/(Food Products Previous Price)

Food Products industry

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

Food Products industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Food Products industry US.FOODPRODUCTS 631.95 0 0.25 0.56969 44.0477 -0.00455 0.01822 -0.03184 0.03961

Food Products industry News

Food Products industry Analysis

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

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

MacroVar estimates the following signals:: Food Products momentum, Food Products trend, Food Products oscillator, Food Products RSI and Food Products returns.

Food Products industry Description

The subsector of Food Products includes Food producers, including meatpacking, snacks, fruits, vegetables, dairy products and frozen seafood. Includes producers of pet food and manufacturers of dietary supplements, vitamins and related items

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

Food Products industry trend

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

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

Food Products industry oscillator

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

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

Food Products 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 Food Products is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringFood Products 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.

Food Products industry returns

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

Food Products returns = (Food Products Closing Price – Food Products Previous Price)/(Food Products Previous Price)

Food Products industry

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

Food Products industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Food Products industry US.FOODPRODUCTS 631.95 0 0.25 0.56969 44.0477 -0.00455 0.01822 -0.03184 0.03961

Food Products industry News

Food Products industry Analysis

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

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

MacroVar estimates the following signals:: Food Products momentum, Food Products trend, Food Products oscillator, Food Products RSI and Food Products returns.

Food Products industry Description

The subsector of Food Products includes Food producers, including meatpacking, snacks, fruits, vegetables, dairy products and frozen seafood. Includes producers of pet food and manufacturers of dietary supplements, vitamins and related items

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

Food Products industry trend

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

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

Food Products industry oscillator

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

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

Food Products 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 Food Products is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringFood Products 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.

Food Products industry returns

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

Food Products returns = (Food Products Closing Price – Food Products Previous Price)/(Food Products Previous Price)