Bullfrog AI Holdings, Inc. Common Stock

10-Year Study

BFRG.US · Healthcare · US · Common Stock

Executive Summary: Bullfrog AI Holdings, Inc. Common Stock has compounded at -27.2% annually over the last 10 years, with a maximum drawdown of 88.2% and an annualized volatility of 643.1%.

1Y CAGR
-39.4%
3Y CAGR
-40.2%
5Y CAGR
-27.2%
10Y CAGR
-27.2%

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 →
88.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.19
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.63
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
135.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +22.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -55.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
33%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-30.9-5.0189.9-35.722.3%
202517.3-10.9-21.17.3-3.4-11.7-9.3-11.715.7-8.6-21.9-11.7-55.8%
202449.70.8-34.8-2.2-8.0-40.170.5-12.511.2-20.6-5.7-7.0-38.7%
202314.931.98.5-26.638.5-33.5-0.6-14.12.114.010.5%

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 643.1%. The dominant macroeconomic risk driver is SHV.US, accounting for 94.5% of variance. Idiosyncratic stock-specific factors contribute 1.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2023-02-0110000
2023-03-0111491.525593587496
2023-04-0115152.541416741366
2023-05-0116440.677377075626
2023-06-0112067.79622113832
2023-07-0116711.863554746604
2023-08-0111118.643791091341
2023-09-0111050.847246673597
2023-10-019491.525108668358
2023-11-019694.914741921591
2023-12-0111050.847246673597
2024-01-0116542.373001900804
2024-02-0116677.966090736292
2024-03-0110881.355885629237
2024-04-0110644.06798016713
2024-05-019796.610366746767
2024-06-015864.4067495248
2024-07-0110000
2024-08-018745.76231187461
2024-09-019728.813014130463
2024-10-017728.813337409887
2024-11-017288.1357986945495
2024-12-016779.660907362907
2025-01-017949.152510866836
2025-02-017084.745357242757
2025-03-015593.220167754543
2025-04-015999.999838360288
2025-05-015796.610205107056
2025-06-015118.643952731052
2025-07-014644.067737707563
2025-08-014101.694978266329
2025-09-014745.762554334179
2025-10-014338.982883728433
2025-11-013389.8304536814535
2025-12-012993.2203455582257
2026-01-012067.7966252376004
2026-02-011964.7457309537706
2026-03-015694.915162184841
2026-04-013661.0168899759697
Annual Return Matrix
YearAnnual Return
2024-0.3865030656899501
2025-0.5584999918937683
20260.22310303530066466
Total Factor Risk
6.431443892104455
VTI.US Exposure
0.018161814198821496
VEA.US Exposure
0.001822422944344824
VWO.US Exposure
-0.0010591968815014288
QQQ.US Exposure
-0.005015784840331422
VTV.US Exposure
-0.002684026835514729
IJR.US Exposure
-0.0003876306755954002
QUAL.US Exposure
0.006928290321537731
SHV.US Exposure
0.9454738172059065
TLT.US Exposure
0.00022462990230817336
LQD.US Exposure
-0.0006801015598322561
HYG.US Exposure
0.026286807309363926
GLD.US Exposure
0.0005033749789672687
USO.US Exposure
0.0010718354878542463
VNQ.US Exposure
-0.002474256753228655
BTC-USD.CC Exposure
0.0008748718887077566
CPER.US Exposure
0.001170442087017918
VIX.INDX Exposure
-0.0012820128820702954
UUP.US Exposure
0.00025485749552823427
TIP.US Exposure
0.0011421575073322211
Idiosyncratic Exposure
0.009667689100384073
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
643.1%

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$22.1M
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 →
+51.2%
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 →
+0.8%
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 →
43.7% 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 →
-2.29
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Bullfrog AI Holdings, Inc. Common Stock a high-risk investment?

Bullfrog AI Holdings, Inc. Common Stock (BFRG.US) has an annualized volatility of 643.1% and experienced a maximum drawdown of 88.2% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, BFRG.US has generated a Compound Annual Growth Rate (CAGR) of -27.2%. It has had a positive return in 33% 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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