Apparel Manufacturing Associates Stock Technical Analysis
| APPM Stock | USD 0.0002 0.00 0.00% |
As of the 11th of February 2026, Apparel Manufacturing shows the Mean Deviation of 2.98, standard deviation of 12.31, and Risk Adjusted Performance of 0.1069. Apparel Manufacturing technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Apparel Manufacturing variance and kurtosis to decide if Apparel Manufacturing is priced correctly, providing market reflects its regular price of 2.0E-4 per share. As Apparel Manufacturing appears to be a penny stock we also recommend to validate its information ratio numbers.
Apparel Manufacturing Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Apparel, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ApparelApparel |
Apparel Manufacturing '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 Apparel Manufacturing'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 Apparel Manufacturing.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Apparel Manufacturing on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Apparel Manufacturing Associates or generate 0.0% return on investment in Apparel Manufacturing over 90 days. Apparel Manufacturing Associates, Inc. is based in Bloomfield, Connecticut More
Apparel Manufacturing 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 Apparel Manufacturing'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 Apparel Manufacturing Associates upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1147 | |||
| Maximum Drawdown | 100.0 |
Apparel Manufacturing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Apparel Manufacturing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Apparel Manufacturing's standard deviation. In reality, there are many statistical measures that can use Apparel Manufacturing historical prices to predict the future Apparel Manufacturing's volatility.| Risk Adjusted Performance | 0.1069 | |||
| Jensen Alpha | 1.65 | |||
| Total Risk Alpha | 0.0547 | |||
| Treynor Ratio | (1.00) |
Apparel Manufacturing February 11, 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 | 0.1069 | |||
| Market Risk Adjusted Performance | (0.99) | |||
| Mean Deviation | 2.98 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 12.31 | |||
| Variance | 151.52 | |||
| Information Ratio | 0.1147 | |||
| Jensen Alpha | 1.65 | |||
| Total Risk Alpha | 0.0547 | |||
| Treynor Ratio | (1.00) | |||
| Maximum Drawdown | 100.0 | |||
| Skewness | 8.12 | |||
| Kurtosis | 66.0 |
Apparel Manufacturing Backtested Returns
Apparel Manufacturing is out of control given 3 months investment horizon. Apparel Manufacturing secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of risk over the last 3 months. We were able to interpolate data for sixteen different technical indicators, which can help you to evaluate if expected returns of 1.61% are justified by taking the suggested risk. Use Apparel Manufacturing Mean Deviation of 2.98, risk adjusted performance of 0.1069, and Standard Deviation of 12.31 to evaluate company specific risk that cannot be diversified away. Apparel Manufacturing holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -1.51, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Apparel Manufacturing are expected to decrease by larger amounts. On the other hand, during market turmoil, Apparel Manufacturing is expected to outperform it. Use Apparel Manufacturing variance and kurtosis , to analyze future returns on Apparel Manufacturing.
Auto-correlation | 0.00 |
No correlation between past and present
Apparel Manufacturing Associates has no correlation between past and present. Overlapping area represents the amount of predictability between Apparel Manufacturing time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th 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 Apparel Manufacturing price movement. The serial correlation of 0.0 indicates that just 0.0% of current Apparel Manufacturing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Apparel Manufacturing 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.
Apparel Manufacturing Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Apparel Manufacturing across different markets.
About Apparel Manufacturing 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 Apparel Manufacturing Associates 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 Apparel Manufacturing Associates based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Apparel Manufacturing price pattern first instead of the macroeconomic environment surrounding Apparel Manufacturing. By analyzing Apparel Manufacturing'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 Apparel Manufacturing'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 Apparel Manufacturing specific price patterns or momentum indicators. Please read more on our technical analysis page.
Apparel Manufacturing February 11, 2026 Technical Indicators
Most technical analysis of Apparel 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 Apparel from various momentum indicators to cycle indicators. When you analyze Apparel 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 | 0.1069 | |||
| Market Risk Adjusted Performance | (0.99) | |||
| Mean Deviation | 2.98 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 12.31 | |||
| Variance | 151.52 | |||
| Information Ratio | 0.1147 | |||
| Jensen Alpha | 1.65 | |||
| Total Risk Alpha | 0.0547 | |||
| Treynor Ratio | (1.00) | |||
| Maximum Drawdown | 100.0 | |||
| Skewness | 8.12 | |||
| Kurtosis | 66.0 |
Apparel Manufacturing February 11, 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 Apparel 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Apparel Pink Sheet
Apparel Manufacturing financial ratios help investors to determine whether Apparel Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Apparel with respect to the benefits of owning Apparel Manufacturing security.