Apparel Manufacturing Associates Stock Market Value
| APPM Stock | USD 0.0002 0.00 0.00% |
| Symbol | Apparel |
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.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Apparel Manufacturing on October 27, 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 | 0.1167 | |||
| 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 | 0.0995 | |||
| Jensen Alpha | 1.53 | |||
| Total Risk Alpha | 0.356 | |||
| Treynor Ratio | (4.38) |
Apparel Manufacturing January 25, 2026 Technical Indicators
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| Volume Indicators |
| Risk Adjusted Performance | 0.0995 | |||
| Market Risk Adjusted Performance | (4.37) | |||
| Mean Deviation | 2.98 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 12.31 | |||
| Variance | 151.52 | |||
| Information Ratio | 0.1167 | |||
| Jensen Alpha | 1.53 | |||
| Total Risk Alpha | 0.356 | |||
| Treynor Ratio | (4.38) | |||
| 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 seventeen different technical indicators, which can help you to evaluate if expected returns of 1.56% are justified by taking the suggested risk. Use Apparel Manufacturing Mean Deviation of 2.98, risk adjusted performance of 0.0995, and Standard Deviation of 12.31 to evaluate company specific risk that cannot be diversified away. Apparel Manufacturing holds a performance score of 9 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.34, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Apparel Manufacturing are expected to decrease at a much lower rate. During the bear market, Apparel Manufacturing is likely to outperform the market. 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 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 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 |
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Try AI Portfolio ProphetOther 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.