Tradr 2X Long ACHR Daily ETF

10-Year Study

ARCX.US · · US · ETF

Executive Summary: Tradr 2X Long ACHR Daily ETF has compounded at 10.1% annually over the last 10 years, with a maximum drawdown of 86.4% and an annualized volatility of 186.4%.

1Y CAGR
-83.1%
3Y CAGR
+12.7%
5Y CAGR
+10.8%
10Y CAGR
+10.1%

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 →
86.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.46
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.64
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
171.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +79.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -40.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
57%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-11.9-6.7-50.319.521.5———————-40.6%
20258.1-1.7-2.9-6.66.7423.7-20.8-23.710.825.4-55.2-11.679.0%
20241.3-0.85.3-0.44.0-0.50.7-0.22.01.34.41.119.6%
20235.00.5-3.81.02.22.93.4-0.12.3-2.74.53.920.2%
20223.3-0.8-0.9-1.5-6.0-5.37.91.6-12.214.8-0.2-2.5-4.2%
20214.76.45.02.80.62.41.60.54.25.4-5.46.840.3%
20201.4-11.7-29.4——29.6-10.1———17.44.0-10.1%
2019——————4.82.1-0.1-1.60.10.35.6%

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 186.4%. The dominant macroeconomic risk driver is SHV.US, accounting for 47.4% of variance. Idiosyncratic stock-specific factors contribute 13.8%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2019-06-0110000
2019-07-0110484.739603093427
2019-08-0110706.255418116705
2019-09-0110693.961171084931
2019-10-0110519.323782328114
2019-11-0110530.279969204514
2019-12-0110559.074044892925
2020-01-0110705.309774035639
2020-02-019454.891247871756
2020-03-016673.88048020191
2020-06-018650.073846762136
2020-07-017774.903847137071
2020-11-019130.003949506103
2020-12-019495.883433023622
2021-01-019942.39699099899
2021-02-0110581.50818344831
2021-03-0111112.87188524111
2021-04-0111421.824818647401
2021-05-0111492.714039589624
2021-06-0111772.287332118678
2021-07-0111955.55437859866
2021-08-0112014.631788306473
2021-09-0112523.526392428135
2021-10-0113194.154975682877
2021-11-0112477.382107592448
2021-12-0113320.45439509062
2022-01-0113766.14466589005
2022-02-0113659.425847214507
2022-03-0113535.535110882014
2022-04-0113327.246951281064
2022-05-0112526.137838374745
2022-06-0111864.505983558553
2022-07-0112800.660412655654
2022-08-0113010.884433291321
2022-09-0111419.637251979275
2022-10-0113114.4237203893
2022-11-0113094.250562645118
2022-12-0112764.214660507221
2023-01-0113401.906512857046
2023-02-0113466.85093616579
2023-03-0112960.606233018063
2023-04-0113086.96595690048
2023-05-0113380.154077058805
2023-06-0113763.969334912435
2023-07-0114226.40939204612
2023-08-0114206.091153971569
2023-09-0114528.309323849624
2023-10-0114130.4885702482
2023-11-0114770.885384179268
2023-12-0115343.707975319214
2024-01-0115549.16619450011
2024-02-0115430.64605232488
2024-03-0116241.851357860125
2024-04-0116183.14626273506
2024-05-0116835.797994692683
2024-06-0116744.439337500284
2024-07-0116856.54797784676
2024-08-0116828.52125474909
2024-09-0117171.492903692793
2024-10-0117388.749824439692
2024-11-0118155.301851426033
2024-12-0118351.705659627387
2025-01-0119844.812989269212
2025-02-0119516.557380100938
2025-03-0118942.85731515564
2025-04-0117699.999571750832
2025-05-0118882.856984791997
2025-06-0198883.0405201497
2025-07-0178309.13244846568
2025-08-0159751.37950855698
2025-09-0166212.22962510631
2025-10-0183028.75990315275
2025-11-0137161.32679283237
2025-12-0132844.93176286498
2026-01-0128950.09472609402
2026-02-0127016.42255153127
2026-03-0113427.565238298375
2026-04-0116046.728591496352
2026-05-0119501.678151173182
Annual Return Matrix
YearAnnual Return
2020-0.10068975815010328
20210.4027609425750083
2022-0.041758315301046234
20230.20208789834857654
20240.19604111920968648
20250.7897481777468667
2026-0.40625000252787546
Total Factor Risk
1.8637869304048074
VTI.US Exposure
0.36217917213240847
VEA.US Exposure
-0.008364726311404528
VWO.US Exposure
-0.001359052212051515
QQQ.US Exposure
-0.016565196177600792
VTV.US Exposure
-0.00022888885422657436
IJR.US Exposure
-0.0059239942045135295
QUAL.US Exposure
0.005431300180785062
SHV.US Exposure
0.4741278650638967
TLT.US Exposure
-0.00006170071982676228
LQD.US Exposure
0.0055090276078869245
HYG.US Exposure
-0.0010981722661098702
GLD.US Exposure
-0.0006200304905792111
USO.US Exposure
0.0006597560535890179
VNQ.US Exposure
-0.004735709374100937
BTC-USD.CC Exposure
0.004737597677823966
CPER.US Exposure
0.02692933800562914
VIX.INDX Exposure
-0.005123506211208853
UUP.US Exposure
0.01816069843519738
TIP.US Exposure
0.008351653473162524
Idiosyncratic Exposure
0.13799456819124353
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
186.4%

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$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: 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 →
+12.4%
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 →
-56.6%
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 →
86.5% 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 →
1.00
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 →
64
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-79.2%
50.0% retracement-75.1%
61.8% retracement-68.9%
% distance of current price from each 52-week Fibonacci support level.

Frequently Asked Questions & Methodology

Is Tradr 2X Long ACHR Daily ETF a high-risk investment?

Tradr 2X Long ACHR Daily ETF (ARCX.US) has an annualized volatility of 186.4% and experienced a maximum drawdown of 86.4% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ARCX.US has generated a Compound Annual Growth Rate (CAGR) of 10.1%. It has had a positive return in 57% 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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