Datadog (DDOG)

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

• The total return, or performance over 5 years of Datadog is 44.6%, which is smaller, thus worse compared to the benchmark SPY (83.4%) in the same period.
• Compared with SPY (79.8%) in the period of the last 3 years, the total return, or performance of 97% is higher, thus better.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

• The annual performance (CAGR) over 5 years of Datadog is 7.7%, which is smaller, thus worse compared to the benchmark SPY (12.9%) in the same period.
• Compared with SPY (21.7%) in the period of the last 3 years, the annual performance (CAGR) of 25.5% is higher, thus better.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

• Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the historical 30 days volatility of 56.3% of Datadog is greater, thus worse.
• Looking at volatility in of 50.1% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.2%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

• The downside deviation over 5 years of Datadog is 36.9%, which is higher, thus worse compared to the benchmark SPY (11.8%) in the same period.
• Looking at downside volatility in of 31.7% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10.1%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

• Looking at the Sharpe Ratio of 0.09 in the last 5 years of Datadog, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.61)
• During the last 3 years, the risk / return profile (Sharpe) is 0.46, which is smaller, thus worse than the value of 1.26 from the benchmark.

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

• Looking at the downside risk / excess return profile of 0.14 in the last 5 years of Datadog, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.89)
• Looking at downside risk / excess return profile in of 0.73 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.89).

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

• Compared with the benchmark SPY (8.45 ) in the period of the last 5 years, the Downside risk index of 41 of Datadog is larger, thus worse.
• Compared with SPY (3.5 ) in the period of the last 3 years, the Ulcer Index of 22 is higher, thus worse.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -68.1 days of Datadog is smaller, thus worse.
• During the last 3 years, the maximum DrawDown is -48.6 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 1003 days of Datadog is greater, thus worse.
• Looking at maximum days below previous high in of 228 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

• Looking at the average time in days below previous high water mark of 420 days in the last 5 years of Datadog, we see it is relatively greater, thus worse in comparison to the benchmark SPY (119 days)
• Looking at average days under water in of 79 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (20 days).