
A volatility indicator that calculates standard deviation of closing prices across different timeframes to measure market price fluctuations and potential price movements.
Explore complementary indicator rolesHow it works
The volatility script calculates standard deviation by analyzing the closing prices of market candles over specific periods. It computes volatility by taking the standard deviation of the last 30 candles and multiplying it by the square root of trading days in a year, month, and week.
The script provides multiple volatility measurements: annual (252 candles), monthly (30 candles), and weekly (5 candles) when using daily candles. By multiplying the standard deviation by 100, the indicator presents volatility as a percentage, allowing traders to quickly understand price fluctuation intensity.
Why it may be useful
Volatility is crucial for traders to understand market dynamics and potential price movements. By measuring price fluctuations, traders can assess market uncertainty, risk levels, and potential trading opportunities across different timeframes.
This indicator helps traders make informed decisions by providing a quantitative measure of market volatility. It enables risk management, helps in setting appropriate stop-loss levels, and provides insights into potential market trends and momentum shifts.
When to explore it
The volatility indicator is most effective during periods of significant market uncertainty or potential trend changes. Traders can use it to identify high-volatility periods that might present trading opportunities or signal increased market risk.
It is particularly useful when analyzing different market timeframes, from short-term scalping to longer-term swing trading. Traders can adjust the number of candles to customize the volatility calculation, making it adaptable to various trading strategies and market conditions.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.


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