FAQs
Stockopedia explains Daily Volatility
What does daily volatility mean? ›
Daily volatility, or day-to-day volatility, is a measure of a stock's price fluctuations over a given period of time. It reflects the amount of uncertainty or risk associated with a stock's price movements. Volatility can be measured by examining the range of a stock's daily prices over a given period of time.
How much volatility is normal? ›
How Much Market Volatility Is Normal? Markets frequently encounter periods of heightened volatility. As an investor, you should plan on seeing volatility of about 15% from average returns during a given year.
How do you interpret volatility results? ›
Understanding Volatility
A higher volatility means that a security's value can potentially be spread out over a larger range of values. This means that the price of the security can move dramatically over a short time period in either direction.
How do you explain volatility? ›
What is volatility? Volatility is the rate at which the price of a stock increases or decreases over a particular period. Higher stock price volatility often means higher risk and helps an investor to estimate the fluctuations that may happen in the future.
Is volatility good or bad? ›
The speed or degree of change in prices is called volatility. The good news is that as volatility increases, the potential to make more money quickly also increases. The bad news is that higher volatility also means higher risk.
What stocks have the most daily volatility? ›
Most volatile US stocks
Symbol | Volatility | Price |
---|
IMRX D | 110.44% | 2.87 USD |
BBLG D | 104.42% | 1.8900 USD |
GNLN D | 88.61% | 5.91 USD |
EGIO D | 83.90% | 1.38 USD |
29 more rows
What volatility is too high? ›
With stocks, it's a measure of how much its price changes in a given period of time. When a stock that normally trades in a 1% range of its price on a daily basis suddenly trades 2-3% of its price, it's considered to be experiencing “high volatility.”
Is high or low volatility better? ›
Many day traders like high-volatility stocks since there are more opportunities for large swings to enter and exit over relatively short periods of time. Long-term buy-and-hold investors, however, often prefer low volatility where there are incremental, steady gains over time.
What is a good volatility range? ›
While a commonly cited “good” IV range is 20% to 25%, the ideal IV can vary greatly depending on the specific asset, strategy, and risk tolerance level. Implied volatility (IV) plays a fundamental role in options trading, affecting pricing and the potential for profit.
Calculating Volatility
- Gather the security's past prices.
- Calculate the average price (mean) of the security's past prices.
- Determine the difference between each price in the set and the average price.
- Square the differences from the previous step.
- Sum the squared differences.
How much implied volatility is too much? ›
Implied volatility rank is generally considered to be elevated (i.e. “high”) when it is greater than 50. Extreme levels in IV rank would be 80 and above. Alternatively, when implied volatility rank is depressed (<20) that may be viewed as a potential opportunity to buy options/volatility.
What is 1 day volatility? ›
Similar to the VIX Index, the Cboe 1-Day Volatility Index® (VIX1D Index) estimates expected volatility by aggregating the weighted prices of P.M.-settled S&P 500 Index (SPX℠) puts and calls over a wide range of strike prices.
Is volatility good for day trading? ›
If the price moves a lot in a day, especially with lots of volume, this means that a trader can enter and exit the position easily. This is one reason why volatile stocks are so popular for day trading, in particular. A volatile stock is one whose price fluctuates by a large percentage each day.
What does a volatility of 5% mean? ›
For example, a lower volatility stock may have an expected (average) return of 7%, with annual volatility of 5%. Ignoring compounding effects, this would indicate returns from approximately negative 3% to positive 17% most of the time (19 times out of 20, or 95% via a two standard deviation rule).