Airlines industry

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

Airlines industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Airlines industry US.AIRLINES 206.62 0 0.25 0.56207 52.0985 1.88 -7.07 -11.45 -0.32858

Airlines industry News

Airlines industry Analysis

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

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

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

Airlines industry Description

The subsector of Airlines includes companies providing primarily passenger air transport. Excludes airports, which are classified under Transportation Services.

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

Airlines industry trend

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

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

Airlines industry oscillator

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

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

Airlines 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 Airlines is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringAirlines 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.

Airlines industry returns

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

Airlines returns = (Airlines Closing Price – Airlines Previous Price)/(Airlines Previous Price)

Airlines industry

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

Airlines industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Airlines industry US.AIRLINES 206.62 0 0.25 0.56207 52.0985 1.88 -7.07 -11.45 -0.32858

Airlines industry News

Airlines industry Analysis

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

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

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

Airlines industry Description

The subsector of Airlines includes companies providing primarily passenger air transport. Excludes airports, which are classified under Transportation Services.

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

Airlines industry trend

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

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

Airlines industry oscillator

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

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

Airlines 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 Airlines is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringAirlines 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.

Airlines industry returns

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

Airlines returns = (Airlines Closing Price – Airlines Previous Price)/(Airlines Previous Price)

Airlines industry

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

Airlines industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Airlines industry US.AIRLINES 206.62 0 0.25 0.56207 52.0985 1.88 -7.07 -11.45 -0.32858

Airlines industry News

Airlines industry Analysis

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

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

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

Airlines industry Description

The subsector of Airlines includes companies providing primarily passenger air transport. Excludes airports, which are classified under Transportation Services.

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

Airlines industry trend

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

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

Airlines industry oscillator

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

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

Airlines 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 Airlines is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringAirlines 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.

Airlines industry returns

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

Airlines returns = (Airlines Closing Price – Airlines Previous Price)/(Airlines Previous Price)

Airlines industry

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

Airlines industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Airlines industry US.AIRLINES 206.62 0 0.25 0.56207 52.0985 1.88 -7.07 -11.45 -0.32858

Airlines industry News

Airlines industry Analysis

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

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

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

Airlines industry Description

The subsector of Airlines includes companies providing primarily passenger air transport. Excludes airports, which are classified under Transportation Services.

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

Airlines industry trend

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

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

Airlines industry oscillator

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

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

Airlines 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 Airlines is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringAirlines 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.

Airlines industry returns

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

Airlines returns = (Airlines Closing Price – Airlines Previous Price)/(Airlines Previous Price)

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