Gold Mining industry

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

Gold Mining industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Gold Mining industry US.GOLD 164.74 0.5 1 2.18146 61.7876 0.0082 -0.03327 0.09922 0.23318
US Gold Mining Credit Spreads US.GOLDMINING.CR 167 0.5 0.75 2.03115 43.5073 0.00772 -0.1071 0.00102 0.35519

Gold Mining industry News

Gold Mining industry Analysis

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

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

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

Gold Mining industry description

The Gold mining subsector includes companies engaged in extraction or refining of goldbearing. ores.

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

Gold Mining industry trend

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

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

Gold Mining industry oscillator

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

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

Gold Mining industry 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 Gold Mining is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringGold Mining 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.

Gold Mining industry returns

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

Gold Mining returns = (Gold Mining Closing Price – Gold Mining Previous Price)/(Gold Mining Previous Price)

Gold Mining industry

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

Gold Mining industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Gold Mining industry US.GOLD 164.74 0.5 1 2.18146 61.7876 0.0082 -0.03327 0.09922 0.23318
US Gold Mining Credit Spreads US.GOLDMINING.CR 167 0.5 0.75 2.03115 43.5073 0.00772 -0.1071 0.00102 0.35519

Gold Mining industry News

Gold Mining industry Analysis

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

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

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

Gold Mining industry description

The Gold mining subsector includes companies engaged in extraction or refining of goldbearing. ores.

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

Gold Mining industry trend

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

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

Gold Mining industry oscillator

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

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

Gold Mining industry 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 Gold Mining is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringGold Mining 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.

Gold Mining industry returns

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

Gold Mining returns = (Gold Mining Closing Price – Gold Mining Previous Price)/(Gold Mining Previous Price)

Gold Mining industry

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

Gold Mining industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Gold Mining industry US.GOLD 164.74 0.5 1 2.18146 61.7876 0.0082 -0.03327 0.09922 0.23318
US Gold Mining Credit Spreads US.GOLDMINING.CR 167 0.5 0.75 2.03115 43.5073 0.00772 -0.1071 0.00102 0.35519

Gold Mining industry News

Gold Mining industry Analysis

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

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

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

Gold Mining industry description

The Gold mining subsector includes companies engaged in extraction or refining of goldbearing. ores.

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

Gold Mining industry trend

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

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

Gold Mining industry oscillator

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

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

Gold Mining industry 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 Gold Mining is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringGold Mining 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.

Gold Mining industry returns

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

Gold Mining returns = (Gold Mining Closing Price – Gold Mining Previous Price)/(Gold Mining Previous Price)

Gold Mining industry

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

Gold Mining industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Gold Mining industry US.GOLD 164.74 0.5 1 2.18146 61.7876 0.0082 -0.03327 0.09922 0.23318
US Gold Mining Credit Spreads US.GOLDMINING.CR 167 0.5 0.75 2.03115 43.5073 0.00772 -0.1071 0.00102 0.35519

Gold Mining industry News

Gold Mining industry Analysis

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

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

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

Gold Mining industry description

The Gold mining subsector includes companies engaged in extraction or refining of goldbearing. ores.

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

Gold Mining industry trend

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

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

Gold Mining industry oscillator

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

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

Gold Mining industry 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 Gold Mining is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringGold Mining 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.

Gold Mining industry returns

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

Gold Mining returns = (Gold Mining Closing Price – Gold Mining Previous Price)/(Gold Mining Previous Price)