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, or performance over 5 years of MongoDB is -9.5%, which is smaller, thus worse compared to the benchmark SPY (80.5%) in the same period.
• Compared with SPY (72.5%) in the period of the last 3 years, the total return, or increase in value of 13.7% is lower, thus worse.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

• The compounded annual growth rate (CAGR) over 5 years of MongoDB is -2%, which is lower, thus worse compared to the benchmark SPY (12.6%) in the same period.
• Compared with SPY (20%) in the period of the last 3 years, the annual return (CAGR) of 4.4% is lower, thus worse.

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 30 days standard deviation of 69.5% in the last 5 years of MongoDB, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17%)
• Compared with SPY (15%) in the period of the last 3 years, the historical 30 days volatility of 63.1% is higher, thus worse.

DownVol:

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

• Looking at the downside risk of 45.8% in the last 5 years of MongoDB, we see it is relatively greater, thus worse in comparison to the benchmark SPY (11.7%)
• Compared with SPY (10.1%) in the period of the last 3 years, the downside risk of 41.4% is greater, thus worse.

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 (0.59) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of -0.06 of MongoDB is smaller, thus worse.
• During the last 3 years, the Sharpe Ratio is 0.03, which is smaller, thus worse than the value of 1.17 from the benchmark.

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 MongoDB is -0.1, which is lower, thus worse compared to the benchmark SPY (0.86) in the same period.
• Looking at ratio of annual return and downside deviation in of 0.05 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.74).

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 (8.43 ) in the period of the last 5 years, the Downside risk index of 47 of MongoDB is greater, thus worse.
• Compared with SPY (3.43 ) in the period of the last 3 years, the Ulcer Index of 38 is larger, thus worse.

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.'

• Looking at the maximum drop from peak to valley of -76.5 days in the last 5 years of MongoDB, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
• Looking at maximum drop from peak to valley in of -70.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

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.'

• Looking at the maximum time in days below previous high water mark of 1091 days in the last 5 years of MongoDB, we see it is relatively higher, thus worse in comparison to the benchmark SPY (488 days)
• During the last 3 years, the maximum days below previous high is 531 days, which is larger, thus worse than the value of 87 days from the benchmark.

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.'

• The average time in days below previous high water mark over 5 years of MongoDB is 488 days, which is higher, thus worse compared to the benchmark SPY (119 days) in the same period.
• Looking at average time in days below previous high water mark in of 204 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (20 days).