Argosy Minerals Limited Stock Market Value
| ARYMF Stock | USD 0.02 0 10.88% |
| Symbol | Argosy |
Argosy 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 Argosy 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 Argosy Minerals.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Argosy Minerals on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Argosy Minerals Limited or generate 0.0% return on investment in Argosy Minerals over 90 days. Argosy Minerals is related to or competes with Adriatic Metals, Aurelia Metals, Critical Elements, and Azimut Exploration. Argosy Minerals Limited engages in the exploration and development of lithium projects in Australia and the United State... More
Argosy 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 Argosy 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 Argosy Minerals Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 12.66 | |||
| Information Ratio | 0.041 | |||
| Maximum Drawdown | 60.91 | |||
| Value At Risk | (10.80) | |||
| Potential Upside | 15.29 |
Argosy Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Argosy Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Argosy Minerals' standard deviation. In reality, there are many statistical measures that can use Argosy Minerals historical prices to predict the future Argosy Minerals' volatility.| Risk Adjusted Performance | 0.0358 | |||
| Jensen Alpha | 0.2675 | |||
| Total Risk Alpha | 1.49 | |||
| Sortino Ratio | 0.0311 | |||
| Treynor Ratio | (1.80) |
Argosy Minerals Backtested Returns
Argosy Minerals appears to be out of control, given 3 months investment horizon. Argosy Minerals secures Sharpe Ratio (or Efficiency) of 0.0366, which signifies that the company had a 0.0366 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Argosy Minerals Limited, which you can use to evaluate the volatility of the firm. Please makes use of Argosy Minerals' risk adjusted performance of 0.0358, and Mean Deviation of 4.43 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Argosy Minerals holds a performance score of 2. The firm shows a Beta (market volatility) of -0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Argosy Minerals are expected to decrease at a much lower rate. During the bear market, Argosy Minerals is likely to outperform the market. Please check Argosy Minerals' information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Argosy Minerals' price patterns will revert.
Auto-correlation | 0.39 |
Below average predictability
Argosy Minerals Limited has below average predictability. Overlapping area represents the amount of predictability between Argosy Minerals time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Argosy Minerals price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Argosy Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Argosy Minerals lagged returns against current returns
Autocorrelation, which is Argosy Minerals pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Argosy Minerals' pink sheet expected returns. We can calculate the autocorrelation of Argosy Minerals returns to help us make a trade decision. For example, suppose you find that Argosy Minerals has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
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Argosy Minerals regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Argosy Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Argosy Minerals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Argosy Minerals pink sheet over time.
Current vs Lagged Prices |
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Argosy Minerals Lagged Returns
When evaluating Argosy Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Argosy Minerals pink sheet have on its future price. Argosy Minerals autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Argosy Minerals autocorrelation shows the relationship between Argosy Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Argosy Minerals Limited.
Regressed Prices |
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Currently Active Assets on Macroaxis
Other Information on Investing in Argosy Pink Sheet
Argosy Minerals financial ratios help investors to determine whether Argosy 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 Argosy with respect to the benefits of owning Argosy Minerals security.