Stacks Market Value
| STX Crypto | USD 0.64 0.02 3.03% |
| Symbol | Stacks |
Stacks '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 Stacks' crypto coin 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 Stacks.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Stacks on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Stacks or generate 0.0% return on investment in Stacks over 90 days. Stacks is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. Stacks is peer-to-peer digital currency powered by the Blockchain technology.
Stacks 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 Stacks' crypto coin 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 Stacks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 25.29 | |||
| Value At Risk | (11.84) | |||
| Potential Upside | 7.27 |
Stacks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stacks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stacks' standard deviation. In reality, there are many statistical measures that can use Stacks historical prices to predict the future Stacks' volatility.| Risk Adjusted Performance | (0.25) | |||
| Jensen Alpha | (1.82) | |||
| Total Risk Alpha | (1.03) | |||
| Treynor Ratio | 3.43 |
Stacks Backtested Returns
Stacks owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.3, which indicates digital coin had a -0.3 % return per unit of risk over the last 3 months. Stacks exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Stacks' Variance of 34.66, risk adjusted performance of (0.25), and Coefficient Of Variation of (335.45) to confirm the risk estimate we provide. The entity has a beta of -0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Stacks are expected to decrease at a much lower rate. During the bear market, Stacks is likely to outperform the market.
Auto-correlation | 0.88 |
Very good predictability
Stacks has very good predictability. Overlapping area represents the amount of predictability between Stacks time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Stacks price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Stacks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Stacks lagged returns against current returns
Autocorrelation, which is Stacks crypto coin'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 Stacks' crypto coin expected returns. We can calculate the autocorrelation of Stacks returns to help us make a trade decision. For example, suppose you find that Stacks has exhibited high autocorrelation historically, and you observe that the crypto coin 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 |
Stacks 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 Stacks crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stacks crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stacks crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Stacks Lagged Returns
When evaluating Stacks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stacks crypto coin have on its future price. Stacks 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, Stacks autocorrelation shows the relationship between Stacks crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Stacks.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Stacks offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Stacks' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Stacks Crypto.Check out Stacks Correlation, Stacks Volatility and Investing Opportunities module to complement your research on Stacks. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Stacks technical crypto coin 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, crypto market cycles, or different charting patterns.