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OPEN vs. FNGU
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

OPEN vs. FNGU - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Opendoor Technologies Inc. (OPEN) and MicroSectors FANG+ 3X Leveraged ETNs (FNGU). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, OPEN achieves a -27.96% return, which is significantly lower than FNGU's -0.99% return.


OPEN

1D
-1.87%
1M
-7.28%
YTD
-27.96%
6M
-33.01%
1Y
718.87%
3Y*
13.99%
5Y*
-23.99%
10Y*

FNGU

1D
-7.64%
1M
-12.95%
YTD
-0.99%
6M
-5.84%
1Y
17.53%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

OPEN vs. FNGU - Yearly Performance Comparison


2026 (YTD)2025
OPEN
Opendoor Technologies Inc.
-27.96%291.19%
FNGU
MicroSectors FANG+ 3X Leveraged ETNs
-0.99%3.02%

Correlation

The correlation between OPEN and FNGU is 0.23, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.23

Correlation (All Time)
Calculated using the full available price history since Feb 20, 2025

0.25

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Return for Risk

OPEN vs. FNGU — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

OPEN
OPEN Risk / Return Rank: 9696
Overall Rank
OPEN Sharpe Ratio Rank: 9898
Sharpe Ratio Rank
OPEN Sortino Ratio Rank: 9797
Sortino Ratio Rank
OPEN Omega Ratio Rank: 9494
Omega Ratio Rank
OPEN Calmar Ratio Rank: 9898
Calmar Ratio Rank
OPEN Martin Ratio Rank: 9595
Martin Ratio Rank

FNGU
FNGU Risk / Return Rank: 1313
Overall Rank
FNGU Sharpe Ratio Rank: 1212
Sharpe Ratio Rank
FNGU Sortino Ratio Rank: 1616
Sortino Ratio Rank
FNGU Omega Ratio Rank: 1616
Omega Ratio Rank
FNGU Calmar Ratio Rank: 1212
Calmar Ratio Rank
FNGU Martin Ratio Rank: 1212
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

OPEN vs. FNGU - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Opendoor Technologies Inc. (OPEN) and MicroSectors FANG+ 3X Leveraged ETNs (FNGU). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


OPENFNGUDifference
Sharpe ratioReturn per unit of total volatility

+4.27

Sortino ratioReturn per unit of downside risk

+3.63

Omega ratioGain probability vs. loss probability

1.51

1.10

+0.41

Calmar ratioReturn relative to maximum drawdown

12.35

0.30

+12.06

Martin ratioReturn relative to average drawdown

18.67

0.70

+17.97

OPEN vs. FNGU - Sharpe Ratio Comparison

The current OPEN Sharpe Ratio is 4.55, which is higher than the FNGU Sharpe Ratio of 0.27. The chart below compares the historical Sharpe Ratios of OPEN and FNGU, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

OPEN vs. FNGU - Drawdown Comparison

The maximum OPEN drawdown since its inception was -98.57%, which is greater than FNGU's maximum drawdown of -61.30%. Use the drawdown chart below to compare losses from any high point for OPEN and FNGU.


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Drawdown Indicators


OPENFNGUDifference

Max Drawdown

Largest peak-to-trough decline

-98.57%

-61.30%

-37.27%

Max Drawdown (1Y)

Largest decline over 1 year

-58.75%

-59.55%

+0.80%

Max Drawdown (3Y)

Largest decline over 3 years

-90.28%

Max Drawdown (5Y)

Largest decline over 5 years

-97.93%

Current Drawdown

Current decline from peak

-87.90%

-30.82%

-57.08%

Average Drawdown

Average peak-to-trough decline

-74.63%

-22.27%

-52.36%

Ulcer Index

Depth and duration of drawdowns from previous peaks

38.79%

25.17%

+13.62%

Volatility

OPEN vs. FNGU - Volatility Comparison

The current volatility for Opendoor Technologies Inc. (OPEN) is 21.82%, while MicroSectors FANG+ 3X Leveraged ETNs (FNGU) has a volatility of 33.21%. This indicates that OPEN experiences smaller price fluctuations and is considered to be less risky than FNGU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


OPENFNGUDifference

Volatility (1M)

Calculated over the trailing 1-month period

21.82%

33.21%

-11.39%

Volatility (6M)

Calculated over the trailing 6-month period

51.30%

52.56%

-1.26%

Volatility (1Y)

Calculated over the trailing 1-year period

159.62%

64.46%

+95.16%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

113.59%

81.18%

+32.41%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

110.13%

81.18%

+28.95%

Dividends

OPEN vs. FNGU - Dividend Comparison

Neither OPEN nor FNGU has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


OPEN and FNGU have a correlation of 0.23, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

FNGU has higher volatility (33.21%) compared to OPEN (21.82%). In terms of maximum drawdown, OPEN dropped -98.57% vs FNGU's -61.30%.

OPEN currently has the higher Sharpe Ratio (4.55 vs 0.27), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for OPEN and FNGU

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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