Stacks Technical Analysis
| STX Crypto | USD 0.29 0.03 11.54% |
As of the 1st of February, Stacks has the Variance of 38.76, coefficient of variation of (1,845), and Risk Adjusted Performance of (0.03). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Stacks, as well as the relationship between them.
Stacks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Stacks, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StacksStacks |
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.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Stacks on November 3, 2025 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, 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 | (0.06) | |||
| Maximum Drawdown | 40.0 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 8.33 |
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 | (0.03) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 2.25 |
Stacks February 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | 2.26 | |||
| Mean Deviation | 4.22 | |||
| Coefficient Of Variation | (1,845) | |||
| Standard Deviation | 6.23 | |||
| Variance | 38.76 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 2.25 | |||
| Maximum Drawdown | 40.0 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 8.33 | |||
| Skewness | 0.9822 | |||
| Kurtosis | 3.78 |
Stacks Backtested Returns
Stacks owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0225, which indicates digital coin had a -0.0225 % return per unit of risk over the last 3 months. Stacks exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Stacks' Risk Adjusted Performance of (0.03), variance of 38.76, and Coefficient Of Variation of (1,845) to confirm the risk estimate we provide. The entity has a beta of -0.15, which indicates not very significant fluctuations relative to the market. 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 | -0.44 |
Modest reverse predictability
Stacks has modest reverse predictability. Overlapping area represents the amount of predictability between Stacks time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 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 Stacks price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Stacks price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
Stacks Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Stacks volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Stacks Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Stacks on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Stacks based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Stacks price pattern first instead of the macroeconomic environment surrounding Stacks. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Stacks's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Stacks specific price patterns or momentum indicators.
Stacks February 1, 2026 Technical Indicators
Most technical analysis of Stacks help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Stacks from various momentum indicators to cycle indicators. When you analyze Stacks charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | 2.26 | |||
| Mean Deviation | 4.22 | |||
| Coefficient Of Variation | (1,845) | |||
| Standard Deviation | 6.23 | |||
| Variance | 38.76 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 2.25 | |||
| Maximum Drawdown | 40.0 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 8.33 | |||
| Skewness | 0.9822 | |||
| Kurtosis | 3.78 |
Stacks February 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Stacks stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.12 | ||
| Day Median Price | 0.29 | ||
| Day Typical Price | 0.29 | ||
| Price Action Indicator | 0.01 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Stacks. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.