Datadog (DDOG)

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

• Compared with the benchmark SPY (109.7%) in the period of the last 5 years, the total return of 64% of Datadog is lower, thus worse.
• Looking at total return in of 52.9% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (70.1%).

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

• Looking at the annual return (CAGR) of 10.4% in the last 5 years of Datadog, we see it is relatively lower, thus worse in comparison to the benchmark SPY (16%)
• Looking at annual performance (CAGR) in of 15.3% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (19.5%).

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.'

• Looking at the volatility of 56.4% in the last 5 years of Datadog, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.5%)
• Looking at 30 days standard deviation in of 51.8% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.4%).

DownVol:

'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.'

• Looking at the downside volatility of 37.6% in the last 5 years of Datadog, we see it is relatively greater, thus worse in comparison to the benchmark SPY (12.1%)
• Looking at downside risk in of 33.6% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (11.5%).

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.'

• Compared with the benchmark SPY (0.77) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.14 of Datadog is lower, thus worse.
• Looking at Sharpe Ratio in of 0.25 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.97).

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

• The ratio of annual return and downside deviation over 5 years of Datadog is 0.21, which is lower, thus worse compared to the benchmark SPY (1.12) in the same period.
• During the last 3 years, the ratio of annual return and downside deviation is 0.38, which is lower, thus worse than the value of 1.47 from the benchmark.

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 (8.48 ) in the period of the last 5 years, the Ulcer Index of 39 of Datadog is greater, thus worse.
• During the last 3 years, the Downside risk index is 24 , which is higher, thus worse than the value of 5.3 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

• 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 lower, thus worse.
• Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -48.4 days is lower, thus worse.

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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

• Looking at the maximum days under water of 923 days in the last 5 years of Datadog, we see it is relatively greater, thus worse in comparison to the benchmark SPY (488 days)
• Compared with SPY (199 days) in the period of the last 3 years, the maximum days under water of 329 days is greater, thus worse.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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.'

• Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days under water of 359 days of Datadog is greater, thus worse.
• Compared with SPY (47 days) in the period of the last 3 years, the average days below previous high of 117 days is greater, thus worse.