American Rebel Holdings Inc

10-Year Study

AREB.US · Consumer Cyclical · US · Common Stock

Executive Summary: American Rebel Holdings Inc has compounded at -82.4% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 620.5%.

1Y CAGR
-99.9%
3Y CAGR
-98.9%
5Y CAGR
-94.6%
10Y CAGR
-82.4%

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 →
0.02
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.07
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
302.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +0.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -99.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
0%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-59.9-97.0-60.4810.8————————-95.7%
2025-33.1-43.1-92.2144.8-57.3-10.0-0.8-34.616.8-92.4-20.7-39.9-99.9%
2024-19.750.6-24.523.3-4.040.332.1-22.766.7-63.7-21.5-11.7-35.1%
202314.0-3.6-33.0-3.510.2-27.9-44.5-36.6-27.0-45.8-15.3-3.4-93.6%
20220.00.00.00.00.00.00.00.0-25.5-21.8-5.4-21.2-56.6%
20210.00.00.00.00.00.00.00.00.00.00.00.00.0%
20200.00.00.00.00.00.00.00.00.00.00.00.00.0%
20190.00.00.00.00.00.00.00.00.00.00.00.00.0%
2018—0.00.00.00.00.00.00.00.00.00.00.00.0%

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 620.5%. The dominant macroeconomic risk driver is SHV.US, accounting for 77.8% of variance. Idiosyncratic stock-specific factors contribute 4.8%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2018-01-0110000
2018-02-0110000
2018-03-0110000
2018-04-0110000
2018-05-0110000
2018-06-0110000
2018-07-0110000
2018-08-0110000
2018-09-0110000
2018-10-0110000
2018-11-0110000
2018-12-0110000
2019-01-0110000
2019-02-0110000
2019-03-0110000
2019-04-0110000
2019-05-0110000
2019-06-0110000
2019-07-0110000
2019-08-0110000
2019-09-0110000
2019-10-0110000
2019-11-0110000
2019-12-0110000
2020-01-0110000
2020-02-0110000
2020-03-0110000
2020-04-0110000
2020-05-0110000
2020-06-0110000
2020-07-0110000
2020-08-0110000
2020-09-0110000
2020-10-0110000
2020-11-0110000
2020-12-0110000
2021-01-0110000
2021-02-0110000
2021-03-0110000
2021-04-0110000
2021-05-0110000
2021-06-0110000
2021-07-0110000
2021-08-0110000
2021-09-0110000
2021-10-0110000
2021-11-0110000
2021-12-0110000
2022-01-0110000
2022-02-0110000
2022-03-0110000
2022-04-0110000
2022-05-0110000
2022-06-0110000
2022-07-0110000
2022-08-0110000
2022-09-017447.50000074475
2022-10-015827.50000058275
2022-11-015512.500000551249
2022-12-014342.500000434249
2023-01-014950.000000495
2023-02-014770.000000477
2023-03-013195.0000003195
2023-04-013082.5000003082496
2023-05-013397.50000033975
2023-06-012448.0000002448
2023-07-011359.0000001358999
2023-08-01862.2000000862199
2023-09-01629.10000006291
2023-10-01341.10000003410994
2023-11-01288.90000002888996
2023-12-01279.0000000279
2024-01-01224.10000002240997
2024-02-01337.50000003375
2024-03-01254.70000002546996
2024-04-01314.10000003141
2024-05-01301.50000003015
2024-06-01423.0000000423
2024-07-01558.90000005589
2024-08-01432.0000000432
2024-09-01720.000000072
2024-10-01261.0000000261
2024-11-01205.0000000205
2024-12-01181.00000001809997
2025-01-01121.00000001209999
2025-02-0168.90000000689
2025-03-015.360000000535999
2025-04-0113.120000001312
2025-05-015.60000000056
2025-06-015.040000000504
2025-07-015.000000000499999
2025-08-013.2680000003268
2025-09-013.8160000003816004
2025-10-010.29000000002899995
2025-11-010.230000000023
2025-12-010.13820000001382
2026-01-010.05540000000554
2026-02-010.001640000000164
2026-03-010.000650000000065
2026-04-010.0059200000005919995
Annual Return Matrix
YearAnnual Return
20190
20200
20210
2022-0.565749999956575
2023-0.9357512953367876
2024-0.35125448028673834
2025-0.9992364640883978
2026-0.9571635311143271
Total Factor Risk
6.204569447153597
VTI.US Exposure
0.07761134766775592
VEA.US Exposure
0.024711184359841216
VWO.US Exposure
0.00040682336691076604
QQQ.US Exposure
-0.00021953591200976627
VTV.US Exposure
0.013148242901587366
IJR.US Exposure
0.0009448824083001917
QUAL.US Exposure
-0.0000765695048030003
SHV.US Exposure
0.7780406494368275
TLT.US Exposure
0.0023621907630505864
LQD.US Exposure
0.0003798036007300744
HYG.US Exposure
0.024073398841668717
GLD.US Exposure
0.0007036777351467737
USO.US Exposure
0.0000048724180559841965
VNQ.US Exposure
0.000051973021749003496
BTC-USD.CC Exposure
0.0007457803388867134
CPER.US Exposure
0.000016569825753050146
VIX.INDX Exposure
0.00041238519786674255
UUP.US Exposure
0.02084000343953938
TIP.US Exposure
0.00829838414054514
Idiosyncratic Exposure
0.04754393595259758
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
620.5%

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
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/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%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$5.9M
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: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

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 →
-37.1%
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 →
-99.6%
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 →
100.0% 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 →
0.92
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Death Cross
Bearish — 50 SMA below 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
67
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-99.9%
50.0% retracement-99.9%
61.8% retracement-99.9%
% distance of current price from each 52-week Fibonacci support level.

Frequently Asked Questions & Methodology

Is American Rebel Holdings Inc a high-risk investment?

American Rebel Holdings Inc (AREB.US) has an annualized volatility of 620.5% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, AREB.US has generated a Compound Annual Growth Rate (CAGR) of -82.4%. It has had a positive return in 0% 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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