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.'

• Compared with the benchmark SPY (75.9%) in the period of the last 5 years, the total return, or increase in value of -32.3% of MongoDB is lower, thus worse.
• Looking at total return, or increase in value in of 2.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (87.4%).

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 annual return (CAGR) over 5 years of MongoDB is -7.5%, which is smaller, thus worse compared to the benchmark SPY (12%) in the same period.
• Compared with SPY (23.4%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 0.8% is lower, thus worse.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

• Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the volatility of 71.3% of MongoDB is higher, thus worse.
• Looking at historical 30 days volatility in of 66% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.2%).

DownVol:

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

• The downside risk over 5 years of MongoDB is 47.9%, which is greater, thus worse compared to the benchmark SPY (11.8%) in the same period.
• Looking at downside volatility in of 44.7% in the period of the last 3 years, we see it is relatively higher, 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 (0.55) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of -0.14 of MongoDB is smaller, thus worse.
• Looking at Sharpe Ratio in of -0.03 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.37).

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.'

• Compared with the benchmark SPY (0.8) in the period of the last 5 years, the downside risk / excess return profile of -0.21 of MongoDB is lower, thus worse.
• Looking at excess return divided by the downside deviation in of -0.04 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (2.07).

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 49 of MongoDB is higher, thus worse.
• Looking at Ulcer Ratio in of 41 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.2 ).

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 reduction from previous high 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 reduction from previous high 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.'

• The maximum days under water over 5 years of MongoDB is 1243 days, which is larger, thus worse compared to the benchmark SPY (488 days) in the same period.
• During the last 3 years, the maximum days below previous high is 683 days, which is larger, thus worse than the value of 87 days from the benchmark.

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.'

• Looking at the average days below previous high of 619 days in the last 5 years of MongoDB, we see it is relatively greater, thus worse in comparison to the benchmark SPY (118 days)
• Compared with SPY (17 days) in the period of the last 3 years, the average time in days below previous high water mark of 318 days is greater, thus worse.