GraniteShares ETF Trust ETF Performance

CONL ETF  USD 8.82  0.71  8.75%   
GraniteShares ETF has performed against its sector and the broad market over time. The stock's expected return across the 3 months window is 0.74%.
Risk-Adjusted Performance
0High
5 · Contained
Risk-adjusted returns for GraniteShares ETF Trust fall below 5% of the global equities and portfolios universe across the last 90 days. Recent return data for GraniteShares ETF reflects positive risk-adjusted momentum, with gains outpacing the volatility required to produce them. Learn More

Relative Risk vs. Return Landscape

If you had invested $ 735.00 in GraniteShares ETF Trust on February 9, 2026 and sold it today, you would have earned $ 147.00 , a return of 20.0% over 90 days. GraniteShares ETF Trust is currently generating a 0.7397% daily expected return and carries 9.85% risk (volatility on return distribution) over a 90-day horizon. In relative terms, GraniteShares ETF exhibits above-average volatility, exceeding roughly 12% of comparable etfs, and CONL has trailed 86% of traded instruments in return over the 90-day horizon.
  Expected Return   
       Risk  
This benchmark view frames the instrument through return capture and volatility trade-offs. It highlights whether the current reward profile compensates for the level of uncertainty assumed. Given a 90-day horizon, CONL generates 10.75 times more return on investment than the market. However, CONL exhibits significantly elevated volatility relative to the market, which is typical for low-priced or thinly traded securities. Its risk-adjusted efficiency stands at about 0.08% per unit of risk. Dow Jones Industrial is currently generating roughly -0.01% per unit of risk.

Target Price Odds to finish over Current Price

Some market participants monitor whether GraniteShares ETF is trading materially away from its historical valuation range. Closed-end funds and specialized market segments can remain disconnected from intrinsic value estimates for extended periods. Liquidity conditions and investor risk appetite can materially influence how quickly valuation gaps narrow.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
8.82 90 days 8.82
about 26.6 %
Based on a normal probability distribution, the odds of GraniteShares ETF moving above the current price in 90 days from now are about 26.6 %. Over this horizon, the return distribution for this ETF has leaned toward above-current outcomes historically. (The density curve centers on the price range the market has recently treated as most probable for GraniteShares ETF over the next 90 days).
Given a 90-day horizon, the ETF has the beta coefficient of 5.82 suggesting when the benchmark rises, CONL tends to outperform it on average. However, when benchmark returns turn negative, GraniteShares ETF tends to underperform. Additionally, GraniteShares ETF Trust has an alpha of 0.7388, implying that it can generate a 0.7388 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   GraniteShares ETF Price Density   
       Price  

Predictive Modules for GraniteShares ETF

Numerous approaches exist for forecasting the ETF market and estimating future values of GraniteShares ETF Trust. Although accurate forecasting remains elusive, the process of modeling scenarios is a valuable part of decision-making. The most effective strategy is often to combine methods and recognize that uncertainty limits any single forecast.
Experienced market participants anticipate that GraniteShares ETF's price will even out over time. Periods when GraniteShares ETF's deviates significantly from its historical mean may warrant further fundamental analysis. Mean reversion in GraniteShares ETF's serves as a complement to momentum analysis.
Sentiment
Range
LowSentimentHigh
0.448.7818.63
Details
Intrinsic
Valuation
LowIntrinsicHigh
0.438.5718.42
Details
Naive
Forecast
LowNextHigh
0.146.9516.80
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
5.837.9810.13
Details
Competitive analysis for GraniteShares ETF compares its financial performance and valuation metrics against sector peers. Cross-sectional comparison separates idiosyncratic performance from sector-level dynamics. GraniteShares ETF's metrics are most informative when compared against the strongest and weakest performers in its sector.

Primary Risk Indicators

The last 10-20 years have been a volatile period for the ETF market, and GraniteShares ETF is no exception. GraniteShares ETF has experienced periods of rapid price declines followed by equally strong recoveries. A hedging strategy that accounts for GraniteShares ETF's changing volatility and elasticity can protect against downside risk.
α
Alpha over Dow Jones
0.74
β
Beta against Dow Jones5.82
σ
Overall volatility
1.28
Ir
Information ratio 0.07

Investor Alerts and Insights

Automated alerts tied to GraniteShares ETF flag material changes in ETF conditions early. GraniteShares ETF Trust notifications flag important changes in technical indicators, fundamentals, and market conditions. The notification system covers both scheduled events and unexpected ETF movements for GraniteShares ETF.
GraniteShares ETF is way too risky over 90 days horizon
GraniteShares ETF appears to be risky and price may revert if volatility continues
Latest headline from news.google.com: Granite Shares 2 x Long COIN Daily ETF - Moomoo

GraniteShares ETF Fundamentals Growth

GraniteShares ETF prices reflect investors' perceptions of GraniteShares ETF's future prospects and financial health. Revenue trajectory, earnings quality, profit margins, and leverage levels shape GraniteShares ETF market performance. GraniteShares ETF's revenue trajectory, earnings quality, and leverage are the key drivers of GraniteShares ETF market valuation.

Performance Metrics & Calculation Methodology

Benchmark tracking for GraniteShares ETF determines how closely returns mirror the target index after costs. Benchmark-relative positioning reveals whether results stem from exposure choice or market direction.

GraniteShares ETF Trust metrics are compiled from fund disclosures and market reference feeds and normalized before display. Return and risk statistics are calculated from historical price series.

Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board