Acg Metals Limited Stock Market Value
| ACGAF Stock | 19.37 0.32 1.68% |
| Symbol | ACG |
ACG Metals '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 ACG Metals' 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 ACG Metals.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in ACG Metals on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding ACG Metals Limited or generate 0.0% return on investment in ACG Metals over 90 days.
ACG Metals 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 ACG Metals' 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 ACG Metals Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.41 | |||
| Information Ratio | 0.1403 | |||
| Maximum Drawdown | 24.86 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 5.26 |
ACG Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ACG Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ACG Metals' standard deviation. In reality, there are many statistical measures that can use ACG Metals historical prices to predict the future ACG Metals' volatility.| Risk Adjusted Performance | 0.1237 | |||
| Jensen Alpha | 0.4491 | |||
| Total Risk Alpha | 0.3293 | |||
| Sortino Ratio | 0.1278 | |||
| Treynor Ratio | 0.7482 |
ACG Metals March 4, 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 | 0.1237 | |||
| Market Risk Adjusted Performance | 0.7582 | |||
| Mean Deviation | 1.32 | |||
| Semi Deviation | 0.6949 | |||
| Downside Deviation | 3.41 | |||
| Coefficient Of Variation | 647.31 | |||
| Standard Deviation | 3.11 | |||
| Variance | 9.68 | |||
| Information Ratio | 0.1403 | |||
| Jensen Alpha | 0.4491 | |||
| Total Risk Alpha | 0.3293 | |||
| Sortino Ratio | 0.1278 | |||
| Treynor Ratio | 0.7482 | |||
| Maximum Drawdown | 24.86 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 5.26 | |||
| Downside Variance | 11.66 | |||
| Semi Variance | 0.4829 | |||
| Expected Short fall | (9.20) | |||
| Skewness | 4.06 | |||
| Kurtosis | 21.07 |
ACG Metals Limited Backtested Returns
ACG Metals appears to be not too volatile, given 3 months investment horizon. ACG Metals Limited secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16 % return per unit of risk over the last 3 months. By evaluating ACG Metals' technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please makes use of ACG Metals' coefficient of variation of 647.31, and Mean Deviation of 1.32 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ACG Metals holds a performance score of 12. The firm shows a Beta (market volatility) of 0.63, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, ACG Metals' returns are expected to increase less than the market. However, during the bear market, the loss of holding ACG Metals is expected to be smaller as well. Please check ACG Metals' downside deviation, total risk alpha, value at risk, as well as the relationship between the information ratio and treynor ratio , to make a quick decision on whether ACG Metals' price patterns will revert.
Auto-correlation | -0.4 |
Poor reverse predictability
ACG Metals Limited has poor reverse predictability. Overlapping area represents the amount of predictability between ACG Metals time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 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 ACG Metals Limited price movement. The serial correlation of -0.4 indicates that just about 40.0% of current ACG Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 1.71 |