Coal industry

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

Coal industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Coal industry US.COAL 7.5 -1 0 0.43098 83.5187 0 0 0 0.41777

Coal industry News

Coal industry Analysis

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

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

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

Coal industry description

The Coal subsector includes companies engaged in the exploration for or mining of coal.

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

Coal industry trend

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

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

Coal industry oscillator

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

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

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

Coal industry returns

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

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

Coal industry

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

Coal industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Coal industry US.COAL 7.5 -1 0 0.43098 83.5187 0 0 0 0.41777

Coal industry News

Coal industry Analysis

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

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

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

Coal industry description

The Coal subsector includes companies engaged in the exploration for or mining of coal.

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

Coal industry trend

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

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

Coal industry oscillator

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

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

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

Coal industry returns

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

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

Coal industry

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

Coal industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Coal industry US.COAL 7.5 -1 0 0.43098 83.5187 0 0 0 0.41777

Coal industry News

Coal industry Analysis

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

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

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

Coal industry description

The Coal subsector includes companies engaged in the exploration for or mining of coal.

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

Coal industry trend

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

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

Coal industry oscillator

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

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

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

Coal industry returns

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

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

Coal industry

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

Coal industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Coal industry US.COAL 7.5 -1 0 0.43098 83.5187 0 0 0 0.41777

Coal industry News

Coal industry Analysis

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

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

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

Coal industry description

The Coal subsector includes companies engaged in the exploration for or mining of coal.

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

Coal industry trend

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

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

Coal industry oscillator

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

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

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

Coal industry returns

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

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