Stack Capital Group Stock Technical Analysis
| STCGF Stock | USD 14.08 0.23 1.61% |
As of the 1st of February, Stack Capital has the Risk Adjusted Performance of 0.1555, semi deviation of 1.91, and Coefficient Of Variation of 489.63. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Stack Capital Group, as well as the relationship between them. Please validate Stack Capital Group coefficient of variation, maximum drawdown, skewness, as well as the relationship between the information ratio and downside variance to decide if Stack Capital is priced more or less accurately, providing market reflects its prevalent price of 14.08 per share. Given that Stack Capital Group has jensen alpha of 0.6477, we advise you to double-check Stack Capital Group's current market performance to make sure the company can sustain itself at a future point.
Stack Capital Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Stack, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StackStack |
Stack Capital '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 Stack Capital's pink sheet 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 Stack Capital.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Stack Capital on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Stack Capital Group or generate 0.0% return on investment in Stack Capital over 90 days. Stack Capital is related to or competes with VietNam Holding, Bank Utica, First Acceptance, ENB Financial, Helios Fairfax, Main Street, and Community Bancorp. Stack Capital Group Inc. operates as an investment holding company More
Stack Capital 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 Stack Capital's pink sheet 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 Stack Capital Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.94 | |||
| Information Ratio | 0.1905 | |||
| Maximum Drawdown | 23.78 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 6.85 |
Stack Capital Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stack Capital's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stack Capital's standard deviation. In reality, there are many statistical measures that can use Stack Capital historical prices to predict the future Stack Capital's volatility.| Risk Adjusted Performance | 0.1555 | |||
| Jensen Alpha | 0.6477 | |||
| Total Risk Alpha | 0.5 | |||
| Sortino Ratio | 0.1581 | |||
| Treynor Ratio | 2.22 |
Stack Capital 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 | 0.1555 | |||
| Market Risk Adjusted Performance | 2.23 | |||
| Mean Deviation | 2.04 | |||
| Semi Deviation | 1.91 | |||
| Downside Deviation | 3.94 | |||
| Coefficient Of Variation | 489.63 | |||
| Standard Deviation | 3.27 | |||
| Variance | 10.7 | |||
| Information Ratio | 0.1905 | |||
| Jensen Alpha | 0.6477 | |||
| Total Risk Alpha | 0.5 | |||
| Sortino Ratio | 0.1581 | |||
| Treynor Ratio | 2.22 | |||
| Maximum Drawdown | 23.78 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 6.85 | |||
| Downside Variance | 15.53 | |||
| Semi Variance | 3.66 | |||
| Expected Short fall | (3.53) | |||
| Skewness | 0.7875 | |||
| Kurtosis | 5.02 |
Stack Capital Group Backtested Returns
Stack Capital appears to be not too volatile, given 3 months investment horizon. Stack Capital Group owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the firm had a 0.2 % return per unit of risk over the last 3 months. By inspecting Stack Capital's technical indicators, you can evaluate if the expected return of 0.67% is justified by implied risk. Please review Stack Capital's Semi Deviation of 1.91, risk adjusted performance of 0.1555, and Coefficient Of Variation of 489.63 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Stack Capital holds a performance score of 16. The entity has a beta of 0.3, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Stack Capital's returns are expected to increase less than the market. However, during the bear market, the loss of holding Stack Capital is expected to be smaller as well. Please check Stack Capital's maximum drawdown, skewness, and the relationship between the total risk alpha and downside variance , to make a quick decision on whether Stack Capital's existing price patterns will revert.
Auto-correlation | 0.79 |
Good predictability
Stack Capital Group has good predictability. Overlapping area represents the amount of predictability between Stack Capital 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 Stack Capital Group price movement. The serial correlation of 0.79 indicates that around 79.0% of current Stack Capital price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 1.04 |
Stack Capital technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Stack Capital Group 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 Stack Capital Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Stack Capital 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 Stack Capital Group 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 Stack Capital Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Stack Capital Group price pattern first instead of the macroeconomic environment surrounding Stack Capital Group. By analyzing Stack Capital's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Stack Capital's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Stack Capital specific price patterns or momentum indicators. Please read more on our technical analysis page.
Stack Capital February 1, 2026 Technical Indicators
Most technical analysis of Stack 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 Stack from various momentum indicators to cycle indicators. When you analyze Stack 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 | 0.1555 | |||
| Market Risk Adjusted Performance | 2.23 | |||
| Mean Deviation | 2.04 | |||
| Semi Deviation | 1.91 | |||
| Downside Deviation | 3.94 | |||
| Coefficient Of Variation | 489.63 | |||
| Standard Deviation | 3.27 | |||
| Variance | 10.7 | |||
| Information Ratio | 0.1905 | |||
| Jensen Alpha | 0.6477 | |||
| Total Risk Alpha | 0.5 | |||
| Sortino Ratio | 0.1581 | |||
| Treynor Ratio | 2.22 | |||
| Maximum Drawdown | 23.78 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 6.85 | |||
| Downside Variance | 15.53 | |||
| Semi Variance | 3.66 | |||
| Expected Short fall | (3.53) | |||
| Skewness | 0.7875 | |||
| Kurtosis | 5.02 |
Stack Capital 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 Stack 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 | 0.04 | ||
| Daily Balance Of Power | (0.42) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 14.29 | ||
| Day Typical Price | 14.22 | ||
| Price Action Indicator | (0.32) | ||
| Market Facilitation Index | 0.55 |
Complementary Tools for Stack Pink Sheet analysis
When running Stack Capital's price analysis, check to measure Stack Capital's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Stack Capital is operating at the current time. Most of Stack Capital's value examination focuses on studying past and present price action to predict the probability of Stack Capital's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stack Capital's price. Additionally, you may evaluate how the addition of Stack Capital to your portfolios can decrease your overall portfolio volatility.
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