Automobiles industry

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

Automobiles industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Automobiles industry US.AUTOS 1097.71 0.5 0.25 0.31551 54.927 0.03654 0.12647 0.02906 0.26364

Automobiles industry News

Automobiles industry Analysis

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

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

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

Automobiles industry description

The Automobiles industry subsector includes Makers of motorcycles and passenger vehicles, including cars, sport utility vehicles (SUVs) and light trucks. Excludes makers of heavy trucks, which are classified under Commercial Vehicles & Trucks, and makers of recreational vehicles (RVs and ATVs), which are classified under Recreational Products.

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

Automobiles industry trend

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

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

Automobiles industry oscillator

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

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

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

Automobiles industry returns

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

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

Automobiles industry

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

Automobiles industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Automobiles industry US.AUTOS 1097.71 0.5 0.25 0.31551 54.927 0.03654 0.12647 0.02906 0.26364

Automobiles industry News

Automobiles industry Analysis

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

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

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

Automobiles industry description

The Automobiles industry subsector includes Makers of motorcycles and passenger vehicles, including cars, sport utility vehicles (SUVs) and light trucks. Excludes makers of heavy trucks, which are classified under Commercial Vehicles & Trucks, and makers of recreational vehicles (RVs and ATVs), which are classified under Recreational Products.

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

Automobiles industry trend

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

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

Automobiles industry oscillator

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

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

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

Automobiles industry returns

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

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

Automobiles industry

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

Automobiles industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Automobiles industry US.AUTOS 1097.71 0.5 0.25 0.31551 54.927 0.03654 0.12647 0.02906 0.26364

Automobiles industry News

Automobiles industry Analysis

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

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

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

Automobiles industry description

The Automobiles industry subsector includes Makers of motorcycles and passenger vehicles, including cars, sport utility vehicles (SUVs) and light trucks. Excludes makers of heavy trucks, which are classified under Commercial Vehicles & Trucks, and makers of recreational vehicles (RVs and ATVs), which are classified under Recreational Products.

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

Automobiles industry trend

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

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

Automobiles industry oscillator

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

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

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

Automobiles industry returns

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

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

Automobiles industry

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

Automobiles industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Automobiles industry US.AUTOS 1097.71 0.5 0.25 0.31551 54.927 0.03654 0.12647 0.02906 0.26364

Automobiles industry News

Automobiles industry Analysis

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

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

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

Automobiles industry description

The Automobiles industry subsector includes Makers of motorcycles and passenger vehicles, including cars, sport utility vehicles (SUVs) and light trucks. Excludes makers of heavy trucks, which are classified under Commercial Vehicles & Trucks, and makers of recreational vehicles (RVs and ATVs), which are classified under Recreational Products.

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

Automobiles industry trend

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

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

Automobiles industry oscillator

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

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

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

Automobiles industry returns

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

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