MicroSectors FANG+ Index -3X Inverse Leveraged ETN

10-Year Study

FNGD.US · · US · ETF

Executive Summary: MicroSectors FANG+ Index -3X Inverse Leveraged ETN has compounded at -69.5% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 73.8%.

1Y CAGR
-45.2%
3Y CAGR
-66.4%
5Y CAGR
-63.3%
10Y CAGR
-69.5%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
100.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.89
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.59
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
71.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · +52.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -95.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
13%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20268.517.110.3-35.6————————-9.7%
2025-11.314.231.9-35.8-29.5-21.8-4.3-2.8-14.8-14.53.716.1-61.4%
2024-10.1-27.1-3.96.5-16.5-24.50.4-1.9-10.3-6.7-18.3-17.8-76.6%
2023-43.5-16.6-33.42.0-39.4-22.0-12.45.719.42.2-31.9-15.4-90.1%
202219.217.6-26.368.8-10.98.1-30.36.932.813.9-36.727.152.2%
2021-9.5-18.43.1-15.14.1-25.44.9-10.913.6-27.40.03.3-60.0%
2020-23.0-6.0-2.3-47.3-21.1-24.6-36.8-46.76.9-1.1-23.4-27.2-95.6%
2019-35.7-3.1-11.6-13.455.5-23.1-11.55.2-2.2-16.8-19.7-20.7-72.5%
2018—-10.616.9-14.4-21.2-16.011.8-16.912.612.27.725.2-6.3%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Risk Profile Insight: This asset has an estimated annualized volatility of 73.8%. The dominant macroeconomic risk driver is QQQ.US, accounting for 73.7% of variance. Idiosyncratic stock-specific factors contribute 8.4%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2018-01-0110000
2018-02-018944.134208743195
2018-03-0110455.85177223767
2018-04-018950.67641767331
2018-05-017050.398373793781
2018-06-015923.035584943574
2018-07-016623.9865417416295
2018-08-015502.46501086474
2018-09-016194.069954905489
2018-10-016951.096988247389
2018-11-017489.427323068297
2018-12-019374.050795579336
2019-01-016025.841725273955
2019-02-015841.257973317133
2019-03-015166.008551601673
2019-04-014474.403607560925
2019-05-016955.769994626044
2019-06-015350.592303558495
2019-07-014733.755461576205
2019-08-014981.424799644851
2019-09-014871.6091497464895
2019-10-014053.8330334820903
2019-11-013257.0854459216334
2019-12-012581.8360242061735
2020-01-011988.3642141171524
2020-02-011869.2025514614827
2020-03-011825.7435921400033
2020-04-01962.6393140026636
2020-05-01759.3635365312274
2020-06-01572.4432813850791
2020-07-01361.6906937077969
2020-08-01192.7615131194654
2020-09-01206.07958129862848
2020-10-01203.74307810930162
2020-11-01156.07841304703382
2020-12-01113.55405500128506
2021-01-01102.80614033038157
2021-02-0183.88046449683404
2021-03-0186.45061800509357
2021-04-0173.3662001448632
2021-05-0176.40365429098811
2021-06-0157.01067781957523
2021-07-0159.81448164676745
2021-08-0153.27227271665226
2021-09-0160.5154326035655
2021-10-0143.92625995934485
2021-11-0143.92625995934485
2021-12-0145.374891936727494
2022-01-0154.09004883291666
2022-02-0163.61129932942359
2022-03-0146.870253977896674
2022-04-0179.10231547466063
2022-05-0170.48061870604454
2022-06-0176.18168648800206
2022-07-0153.07366994555947
2022-08-0156.71861492090937
2022-09-0175.31718030795112
2022-10-0185.7730320801888
2022-11-0154.32369915184934
2022-12-0169.06703427650179
2023-01-0139.019603261758455
2023-02-0132.53580691137643
2023-03-0121.671067081006566
2023-04-0122.10332017103203
2023-05-0113.399845790789504
2023-06-0110.455851772237668
2023-07-019.159092502161267
2023-08-019.684805719759808
2023-09-0111.565690787167926
2023-10-0111.822706137993878
2023-11-018.04925348723101
2023-12-016.810906796887778
2024-01-016.121638356036357
2024-02-014.4627210916142905
2024-03-014.289819855604103
2024-04-014.567863735133998
2024-05-013.8120049533867615
2024-06-012.8797401808453467
2024-07-012.8925909483866445
2024-08-012.8365148718428
2024-09-012.5444519731769435
2024-10-012.3750554919507465
2024-11-011.9404658987359515
2024-12-011.5958316783102409
2025-01-011.4159209327320732
2025-02-011.6168602070141824
2025-03-012.132059160260754
2025-04-011.3680226173508727
2025-05-010.9649758171919903
2025-06-010.7546905301525736
2025-07-010.7219794855019978
2025-08-010.7021192083927195
2025-09-010.5981448164676745
2025-10-010.5116941984625809
2025-11-010.5303862239771957
2025-12-010.615668590387626
2026-01-010.6682399121474801
2026-02-010.7827285684244959
2026-03-010.8633379284562724
2026-04-010.5560877590597911
Annual Return Matrix
YearAnnual Return
2019-0.7245762711864407
2020-0.9560180995475113
2021-0.6004115226337449
20220.5221421215242019
2023-0.9013870094722598
2024-0.7656946826758148
2025-0.6142020497803806
2026-0.09677419354838712
Total Factor Risk
0.738331375791694
VTI.US Exposure
0.15493021907946591
VEA.US Exposure
-0.06264553304232091
VWO.US Exposure
0.09313878269475795
QQQ.US Exposure
0.7368235427351051
VTV.US Exposure
-0.04578707832979702
IJR.US Exposure
0.018876476091285753
QUAL.US Exposure
-0.10367098725950849
SHV.US Exposure
0.07531258372000059
TLT.US Exposure
0.033450745876242687
LQD.US Exposure
-0.008276519451831566
HYG.US Exposure
-0.04002561981067535
GLD.US Exposure
-0.0002152790724822843
USO.US Exposure
-0.003511940617363458
VNQ.US Exposure
-0.016117944248064658
BTC-USD.CC Exposure
0.004012501916918793
CPER.US Exposure
-0.00733309138145234
VIX.INDX Exposure
0.03790031062176409
UUP.US Exposure
0.049447257787968525
TIP.US Exposure
-0.0007117986898287333
Idiosyncratic Exposure
0.08440337137981552
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
73.8%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →N/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$0
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-27.6%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-16.6%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
73.2% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
-3.49
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is MicroSectors FANG+ Index -3X Inverse Leveraged ETN a high-risk investment?

MicroSectors FANG+ Index -3X Inverse Leveraged ETN (FNGD.US) has an annualized volatility of 73.8% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is QQQ.US.

What is the 10-year return of FNGD.US?

Over the past 10 years, FNGD.US has generated a Compound Annual Growth Rate (CAGR) of -69.5%. It has had a positive return in 13% of the years measured.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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