Amplify Weight Loss Etf Market Value
| THNR Etf | 25.28 0.06 0.24% |
| Symbol | Amplify |
The market value of Amplify Weight Loss is measured differently than its book value, which is the value of Amplify that is recorded on the company's balance sheet. Investors also form their own opinion of Amplify Weight's value that differs from its market value or its book value, called intrinsic value, which is Amplify Weight'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 Amplify Weight's market value can be influenced by many factors that don't directly affect Amplify Weight'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 Amplify Weight's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amplify Weight is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amplify Weight'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.
Amplify Weight '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 Amplify Weight'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 Amplify Weight.
| 09/16/2025 |
| 12/15/2025 |
If you would invest 0.00 in Amplify Weight on September 16, 2025 and sell it all today you would earn a total of 0.00 from holding Amplify Weight Loss or generate 0.0% return on investment in Amplify Weight over 90 days. Amplify Weight is related to or competes with AdvisorShares Restaurant, KraneShares Trust, City Different, Proshares, AdvisorShares Hotel, Matthews China, and Spinnaker ETF. Amplify Weight is entity of United States More
Amplify Weight 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 Amplify Weight'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 Amplify Weight Loss upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | 0.0395 | |||
| Maximum Drawdown | 7.36 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 2.14 |
Amplify Weight Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amplify Weight's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amplify Weight's standard deviation. In reality, there are many statistical measures that can use Amplify Weight historical prices to predict the future Amplify Weight's volatility.| Risk Adjusted Performance | 0.076 | |||
| Jensen Alpha | 0.0628 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0451 | |||
| Treynor Ratio | 0.1471 |
Amplify Weight Loss Backtested Returns
Currently, Amplify Weight Loss is very steady. Amplify Weight Loss secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the etf had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Amplify Weight Loss, which you can use to evaluate the volatility of the entity. Please confirm Amplify Weight's Risk Adjusted Performance of 0.076, mean deviation of 0.8949, and Downside Deviation of 1.08 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. The etf shows a Beta (market volatility) of 0.79, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Amplify Weight's returns are expected to increase less than the market. However, during the bear market, the loss of holding Amplify Weight is expected to be smaller as well.
Auto-correlation | 0.36 |
Below average predictability
Amplify Weight Loss has below average predictability. Overlapping area represents the amount of predictability between Amplify Weight time series from 16th of September 2025 to 31st of October 2025 and 31st of October 2025 to 15th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Amplify Weight Loss price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Amplify Weight price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.7 |
Amplify Weight Loss lagged returns against current returns
Autocorrelation, which is Amplify Weight 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 Amplify Weight's etf expected returns. We can calculate the autocorrelation of Amplify Weight returns to help us make a trade decision. For example, suppose you find that Amplify Weight 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 |
Amplify Weight 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 Amplify Weight etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amplify Weight etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amplify Weight etf over time.
Current vs Lagged Prices |
| Timeline |
Amplify Weight Lagged Returns
When evaluating Amplify Weight's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amplify Weight etf have on its future price. Amplify Weight 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, Amplify Weight autocorrelation shows the relationship between Amplify Weight etf current value and its past values and can show if there is a momentum factor associated with investing in Amplify Weight Loss.
Regressed Prices |
| Timeline |
Pair Trading with Amplify Weight
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 Amplify Weight 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 Amplify Weight will appreciate offsetting losses from the drop in the long position's value.Moving together with Amplify Etf
| 0.85 | XLV | Health Care Select | PairCorr |
| 0.84 | VHT | Vanguard Health Care | PairCorr |
| 0.78 | IBB | iShares Biotechnology ETF | PairCorr |
| 0.73 | XBI | SPDR SP Biotech | PairCorr |
| 0.67 | IHI | iShares Medical Devices Sell-off Trend | PairCorr |
Moving against Amplify Etf
The ability to find closely correlated positions to Amplify Weight could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amplify Weight 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 Amplify Weight - 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 Amplify Weight Loss to buy it.
The correlation of Amplify Weight 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 Amplify Weight moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amplify Weight Loss 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 Amplify Weight 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 Amplify Weight Correlation, Amplify Weight Volatility and Amplify Weight Alpha and Beta module to complement your research on Amplify Weight. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Amplify Weight 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.