Acgr Etf Market Value
| ACGR Etf | 66.24 0.32 0.48% |
| Symbol | ACGR |
The market value of ACGR is measured differently than its book value, which is the value of ACGR that is recorded on the company's balance sheet. Investors also form their own opinion of ACGR's value that differs from its market value or its book value, called intrinsic value, which is ACGR's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ACGR's market value can be influenced by many factors that don't directly affect ACGR's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ACGR's value and its price as these two are different measures arrived at by different means. Investors typically determine if ACGR is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ACGR's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
ACGR 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ACGR's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ACGR.
| 11/15/2025 |
| 01/14/2026 |
If you would invest 0.00 in ACGR on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding ACGR or generate 0.0% return on investment in ACGR over 60 days. ACGR is related to or competes with FT Vest, Northern Lights, Diamond Hill, Dimensional International, Tidal Trust, First Trust, and EA Series. More
ACGR Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ACGR's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ACGR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.05 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 4.27 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 1.25 |
ACGR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ACGR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ACGR's standard deviation. In reality, there are many statistical measures that can use ACGR historical prices to predict the future ACGR's volatility.| Risk Adjusted Performance | 0.0328 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0426 |
ACGR Backtested Returns
Currently, ACGR is very steady. ACGR secures Sharpe Ratio (or Efficiency) of 0.0508, which signifies that the etf had a 0.0508 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for ACGR, which you can use to evaluate the volatility of the entity. Please confirm ACGR's mean deviation of 0.689, and Coefficient Of Variation of 2418.54 to double-check if the risk estimate we provide is consistent with the expected return of 0.0471%. The entity shows a Beta (market volatility) of 0.66, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, ACGR's returns are expected to increase less than the market. However, during the bear market, the loss of holding ACGR is expected to be smaller as well.
Auto-correlation | 0.63 |
Good predictability
ACGR has good predictability. Overlapping area represents the amount of predictability between ACGR time series from 15th of November 2025 to 15th of December 2025 and 15th of December 2025 to 14th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ACGR price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current ACGR price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
ACGR lagged returns against current returns
Autocorrelation, which is ACGR etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting ACGR's etf expected returns. We can calculate the autocorrelation of ACGR returns to help us make a trade decision. For example, suppose you find that ACGR has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
ACGR regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If ACGR etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ACGR etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ACGR etf over time.
Current vs Lagged Prices |
| Timeline |
ACGR Lagged Returns
When evaluating ACGR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ACGR etf have on its future price. ACGR autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, ACGR autocorrelation shows the relationship between ACGR etf current value and its past values and can show if there is a momentum factor associated with investing in ACGR.
Regressed Prices |
| Timeline |
Pair Trading with ACGR
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if ACGR position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ACGR will appreciate offsetting losses from the drop in the long position's value.Moving together with ACGR Etf
| 0.9 | VUG | Vanguard Growth Index | PairCorr |
| 0.93 | IWF | iShares Russell 1000 | PairCorr |
| 0.86 | IVW | iShares SP 500 | PairCorr |
| 0.85 | SPYG | SPDR Portfolio SP | PairCorr |
| 0.84 | IUSG | iShares Core SP | PairCorr |
The ability to find closely correlated positions to ACGR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ACGR when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ACGR - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ACGR to buy it.
The correlation of ACGR is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ACGR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ACGR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ACGR can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out ACGR Correlation, ACGR Volatility and ACGR Alpha and Beta module to complement your research on ACGR. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
ACGR technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.