Quantifying the volatility of financial markets can be achieved through a variety of methods, including:

Historical Volatility: Historical volatility is calculated by calculating the volatility of assets over a past period of time. The standard deviation of prices is used to assess the volatility risk of an asset. This method makes predictions based on past data and does not take into account events that may occur in the future, so there may be certain biases.

Implied Volatility: Implied volatility is the market’s expectation of future asset price fluctuations, which is usually inferred from option prices. This method can reflect market participants' views on future trends, but it may also be affected by factors such as market sentiment.

Technical analysis: Through the analysis of price charts and various technical indicators, you can understand the price trends and volatility of financial commodities. For example, moving averages, Bollinger bands, relative strength indicators, etc. can help determine price trends and fluctuation ranges.

Fundamental analysis: The price fluctuations of financial products are often related to the fundamental factors behind them. For example, commodity price fluctuations are related to supply and demand, global economic growth and other factors, and stock price fluctuations are related to company performance and macroeconomic environment and other factors. Through the analysis of these fundamental factors, the trend and range of price fluctuations can be predicted.

Trading strategies: Different trading strategies can be developed according to different market conditions and investor needs, such as timing strategies, arbitrage strategies, programmed trading, etc.

It should be noted that quantifying the volatility of financial markets requires the use of complex mathematical models and algorithms, and requires in-depth understanding and experience of market changes. Therefore, it may be difficult for ordinary investors to bear such risks and costs.