MongoDB (MDB)

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.'

• The total return over 5 years of MongoDB is -16.9%, which is smaller, thus worse compared to the benchmark SPY (83.4%) in the same period.
• Compared with SPY (80.2%) in the period of the last 3 years, the total return of 9.7% is lower, thus worse.

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.'

• The compounded annual growth rate (CAGR) over 5 years of MongoDB is -3.6%, which is lower, thus worse compared to the benchmark SPY (13%) in the same period.
• During the last 3 years, the compounded annual growth rate (CAGR) is 3.2%, which is lower, thus worse than the value of 21.8% from the benchmark.

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.'

• The 30 days standard deviation over 5 years of MongoDB is 69.5%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
• During the last 3 years, the 30 days standard deviation is 62.8%, which is larger, thus worse than the value of 15.2% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

• Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside volatility of 45.9% of MongoDB is larger, thus worse.
• Looking at downside risk in of 41.4% in the period of the last 3 years, we see it is relatively larger, 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.'

• Compared with the benchmark SPY (0.61) in the period of the last 5 years, the Sharpe Ratio of -0.09 of MongoDB is smaller, thus worse.
• Compared with SPY (1.28) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.01 is smaller, thus worse.

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.'

• Compared with the benchmark SPY (0.89) in the period of the last 5 years, the excess return divided by the downside deviation of -0.13 of MongoDB is smaller, thus worse.
• During the last 3 years, the excess return divided by the downside deviation is 0.02, which is lower, thus worse than the value of 1.91 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.'

• The Ulcer Index over 5 years of MongoDB is 47 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
• Looking at Downside risk index in of 39 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.51 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -76.5 days of MongoDB 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 -70.9 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) in days.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 1113 days of MongoDB is greater, thus worse.
• Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 553 days is higher, thus worse.

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.'

• Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days below previous high of 505 days of MongoDB is higher, thus worse.
• During the last 3 years, the average days below previous high is 219 days, which is greater, thus worse than the value of 20 days from the benchmark.