Bitmis Corp

10-Year Study

BIMT.US · Technology · US · Common Stock

Executive Summary: Bitmis Corp has compounded at 55.2% annually over the last 10 years, with a maximum drawdown of 65.0% and an annualized volatility of 113.2%.

1Y CAGR
+2385.2%
3Y CAGR
+107.2%
5Y CAGR
+70.3%
10Y CAGR
+55.2%

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 →
65.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.27
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
7.88
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
518.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +1331.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -39.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
43%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.1-8.527.79.4————————33.0%
20250.00.00.00.00.00.00.00.00.00.00.01331.81331.8%
202421.69.60.01.2-4.9-2.30.0-41.60.00.00.00.0-26.9%
20230.00.00.00.20.00.00.00.00.0-65.022.940.0-39.7%
20220.00.00.00.00.00.00.00.00.00.00.00.00.0%
20210.00.00.00.00.30.0-2.00.066.30.00.00.063.6%
20200.00.00.00.00.00.00.00.00.00.00.00.00.0%
2019—————5.0—7.1——75.6-22.852.5%

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 113.2%. The dominant macroeconomic risk driver is QQQ.US, accounting for 3.2% of variance. Idiosyncratic stock-specific factors contribute 84.7%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2019-05-0110000
2019-06-0110500
2019-08-0111250
2019-11-0119750
2019-12-0115250
2020-01-0115250
2020-02-0115250
2020-03-0115250
2020-04-0115250
2020-05-0115250
2020-06-0115250
2020-07-0115250
2020-08-0115250
2020-09-0115250
2020-10-0115250
2020-11-0115250
2020-12-0115250
2021-01-0115250
2021-02-0115250
2021-03-0115250
2021-04-0115250
2021-05-0115300
2021-06-0115300
2021-07-0115000
2021-08-0115000
2021-09-0124950
2021-10-0124950
2021-11-0124950
2021-12-0124950
2022-01-0124950
2022-02-0124950
2022-03-0124950
2022-04-0124950
2022-05-0124950
2022-06-0124950
2022-07-0124950
2022-08-0124950
2022-09-0124950
2022-10-0124950
2022-11-0124950
2022-12-0124950
2023-01-0124950
2023-02-0124950
2023-03-0124950
2023-04-0125000
2023-05-0125000
2023-06-0125000
2023-07-0125000
2023-08-0125000
2023-09-0125000
2023-10-018750
2023-11-0110750
2023-12-0115049.999999999998
2024-01-0118300
2024-02-0120050
2024-03-0120050
2024-04-0120299.999999999996
2024-05-0119300
2024-06-0118850
2024-07-0118850
2024-08-0111000
2024-09-0111000
2024-10-0111000
2024-11-0111000
2024-12-0111000
2025-01-0111000
2025-02-0111000
2025-03-0111000
2025-04-0111000
2025-05-0111000
2025-06-0111000
2025-07-0111000
2025-08-0111000
2025-09-0111000
2025-10-0111000
2025-11-0111000
2025-12-01157500
2026-01-01164000
2026-02-01150000
2026-03-01191500
2026-04-01209500
Annual Return Matrix
YearAnnual Return
20200
20210.6360655737704919
20220
2023-0.39679358717434876
2024-0.26910299003322247
202513.318181818181817
20260.3301587301587301
Total Factor Risk
1.132393341271388
VTI.US Exposure
-0.004408962359831787
VEA.US Exposure
0.008945244616467582
VWO.US Exposure
0.005854526821664591
QQQ.US Exposure
0.03176779865162992
VTV.US Exposure
0.0005699596878401648
IJR.US Exposure
0.000006998911208538705
QUAL.US Exposure
-0.005125074283848093
SHV.US Exposure
0.016858766324917365
TLT.US Exposure
-0.005841282302955775
LQD.US Exposure
0.007362607432525226
HYG.US Exposure
0.02321099203844671
GLD.US Exposure
0.011207348439387813
USO.US Exposure
0.005376613763044555
VNQ.US Exposure
0.015278506976641945
BTC-USD.CC Exposure
0.000015952482676151752
CPER.US Exposure
0.006517417947158358
VIX.INDX Exposure
0.0006501604567808295
UUP.US Exposure
0.006845317842662189
TIP.US Exposure
0.027998945991829963
Idiosyncratic Exposure
0.8469081605617538
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
113.2%

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$16.0M
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 →
+11.2%
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 →
+176.1%
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 →
9.5% 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 →
1.37
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Bitmis Corp a high-risk investment?

Bitmis Corp (BIMT.US) has an annualized volatility of 113.2% and experienced a maximum drawdown of 65.0% over the last 10 years. Its primary macro risk driver is QQQ.US.

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

Over the past 10 years, BIMT.US has generated a Compound Annual Growth Rate (CAGR) of 55.2%. It has had a positive return in 43% 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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