MongoDB (MDB)

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

• Looking at the total return, or performance of 64.6% in the last 5 years of MongoDB, we see it is relatively lower, thus worse in comparison to the benchmark SPY (94.2%)
• Looking at total return, or increase in value in of -29.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (27.9%).

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.'

• Compared with the benchmark SPY (14.2%) in the period of the last 5 years, the annual performance (CAGR) of 10.5% of MongoDB is lower, thus worse.
• Compared with SPY (8.6%) in the period of the last 3 years, the annual return (CAGR) of -10.9% is smaller, thus worse.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

• Compared with the benchmark SPY (20.9%) in the period of the last 5 years, the historical 30 days volatility of 67.1% of MongoDB is higher, thus worse.
• Compared with SPY (17.3%) in the period of the last 3 years, the volatility of 72% is higher, thus worse.

DownVol:

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

• The downside deviation over 5 years of MongoDB is 44.9%, which is higher, thus worse compared to the benchmark SPY (15%) in the same period.
• During the last 3 years, the downside deviation is 48.2%, which is larger, thus worse than the value of 12.1% from the benchmark.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

• Compared with the benchmark SPY (0.56) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.12 of MongoDB is lower, thus worse.
• During the last 3 years, the risk / return profile (Sharpe) is -0.19, which is lower, thus worse than the value of 0.35 from the benchmark.

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

• The ratio of annual return and downside deviation over 5 years of MongoDB is 0.18, which is smaller, thus worse compared to the benchmark SPY (0.78) in the same period.
• Compared with SPY (0.5) in the period of the last 3 years, the excess return divided by the downside deviation of -0.28 is lower, thus worse.

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 Ratio over 5 years of MongoDB is 37 , which is greater, thus worse compared to the benchmark SPY (9.32 ) in the same period.
• During the last 3 years, the Downside risk index is 45 , which is greater, thus worse than the value of 10 from the benchmark.

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 reduction from previous high 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 (-33.7 days)
• Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum reduction from previous high of -76.5 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'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 674 days of MongoDB is larger, thus worse.
• Compared with SPY (488 days) in the period of the last 3 years, the maximum days below previous high of 674 days is greater, 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.'

• Looking at the average days below previous high of 205 days in the last 5 years of MongoDB, we see it is relatively higher, thus worse in comparison to the benchmark SPY (123 days)
• Looking at average days below previous high in of 310 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (180 days).