Atomic Minerals Stock Market Value
| ATMMF Stock | 0.10 0.02 25.00% |
| Symbol | Atomic |
Atomic Minerals '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 Atomic Minerals' 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 Atomic Minerals.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Atomic Minerals on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Atomic Minerals or generate 0.0% return on investment in Atomic Minerals over 90 days.
Atomic Minerals 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 Atomic Minerals' 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 Atomic Minerals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 22.84 | |||
| Information Ratio | 0.1511 | |||
| Maximum Drawdown | 94.38 | |||
| Value At Risk | (25.83) | |||
| Potential Upside | 33.23 |
Atomic Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Atomic Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Atomic Minerals' standard deviation. In reality, there are many statistical measures that can use Atomic Minerals historical prices to predict the future Atomic Minerals' volatility.| Risk Adjusted Performance | 0.1356 | |||
| Jensen Alpha | 2.45 | |||
| Total Risk Alpha | 0.9466 | |||
| Sortino Ratio | 0.1098 | |||
| Treynor Ratio | 1.53 |
Atomic Minerals February 9, 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 | 0.1356 | |||
| Market Risk Adjusted Performance | 1.54 | |||
| Mean Deviation | 9.56 | |||
| Semi Deviation | 8.72 | |||
| Downside Deviation | 22.84 | |||
| Coefficient Of Variation | 638.86 | |||
| Standard Deviation | 16.59 | |||
| Variance | 275.28 | |||
| Information Ratio | 0.1511 | |||
| Jensen Alpha | 2.45 | |||
| Total Risk Alpha | 0.9466 | |||
| Sortino Ratio | 0.1098 | |||
| Treynor Ratio | 1.53 | |||
| Maximum Drawdown | 94.38 | |||
| Value At Risk | (25.83) | |||
| Potential Upside | 33.23 | |||
| Downside Variance | 521.48 | |||
| Semi Variance | 76.12 | |||
| Expected Short fall | (26.78) | |||
| Skewness | 1.52 | |||
| Kurtosis | 4.53 |
Atomic Minerals Backtested Returns
Atomic Minerals is out of control given 3 months investment horizon. Atomic Minerals 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. We have collected data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 2.81% are justified by taking the suggested risk. Use Atomic Minerals Downside Deviation of 22.84, mean deviation of 9.56, and Risk Adjusted Performance of 0.1356 to evaluate company specific risk that cannot be diversified away. Atomic Minerals holds a performance score of 12 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.69, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Atomic Minerals will likely underperform. Use Atomic Minerals sortino ratio, skewness, period momentum indicator, as well as the relationship between the potential upside and rate of daily change , to analyze future returns on Atomic Minerals.
Auto-correlation | 0.21 |
Weak predictability
Atomic Minerals has weak predictability. Overlapping area represents the amount of predictability between Atomic Minerals time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Atomic Minerals price movement. The serial correlation of 0.21 indicates that over 21.0% of current Atomic Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |