Month-to-date (MTD) stock price return is the percentage change in the stock price from the beginning of the current month to the current date. It is calculated by taking the difference between the stock price at the current date and the stock price at the previous month’s close and dividing that amount by the stock price at the previous month’s close.
The month-to-month return compares the value of a stock at the end of one month to the value of the stock at the end of the previous month.
Using price volatility to measure price moves is based on the fact that daily price returns are meaningless without context. Therefore, short-term price history is required to understand the significance of a price change
The Normalized ATR extends the function of the ATR by being able to get a volatility measure that is directly comparable across stocks with different prices. This is accomplished by calculating the ATR as a percentage of the stock price.
The Average True Range is an indicator used to determine stock price volatility; it measures how much price moves on average over a given period. Welles Wilder introduced it in his book “New concepts in technical trading systems.
The Standard Deviation of Daily Price Returns is a statistical measure representing the volatility or risk in an instrument. It tells you how the daily price return can deviate from the historical mean.
The” range” forms the fabric of market structure as we know it. Being able to identify and use it within the daily-price context proves itself as a great tool.
YTD stands for “Year-To-Date” and refers to the period of time from the beginning of the current calendar year to the present date. It is used to track and measure the performance of investments, such as stocks, over the course of the year.
Learn how to use the 52-week range and current price relative to 52-week range metrics to evaluate the performance and volatility of stocks. This guide explains the calculation of the 52-week range and provides a formula for calculating the current price relative to this range in Google Sheets.
The Narrow Range 7 pattern arises when a price has the smallest range between high and low compared to the previous seven daily prices. Our comprehensive tutorial teaches how to identify this pattern using Google Sheets.