Almonty Industries Stock Market Value
| ALMTF Stock | USD 3.59 0.34 8.65% |
| Symbol | Almonty |
Almonty Industries '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 Almonty Industries' otc stock 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 Almonty Industries.
| 05/01/2025 |
| 07/30/2025 |
If you would invest 0.00 in Almonty Industries on May 1, 2025 and sell it all today you would earn a total of 0.00 from holding Almonty Industries or generate 0.0% return on investment in Almonty Industries over 90 days. Almonty Industries is related to or competes with Aurelia Metals, Adriatic Metals, American Helium, and Progressive Planet. Almonty Industries Inc. engages in mining, processing, and shipping tungsten concentrate More
Almonty Industries 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 Almonty Industries' otc stock 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 Almonty Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.1 | |||
| Information Ratio | 0.1368 | |||
| Maximum Drawdown | 92.18 | |||
| Value At Risk | (8.65) | |||
| Potential Upside | 11.94 |
Almonty Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Almonty Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Almonty Industries' standard deviation. In reality, there are many statistical measures that can use Almonty Industries historical prices to predict the future Almonty Industries' volatility.| Risk Adjusted Performance | 0.1234 | |||
| Jensen Alpha | 2.06 | |||
| Total Risk Alpha | (0.72) | |||
| Sortino Ratio | 0.2206 | |||
| Treynor Ratio | (2.66) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Almonty Industries' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Almonty Industries Backtested Returns
Almonty Industries is extremely dangerous given 3 months investment horizon. Almonty Industries secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.95% are justified by taking the suggested risk. Use Almonty Industries Risk Adjusted Performance of 0.1234, downside deviation of 8.1, and Mean Deviation of 6.29 to evaluate company specific risk that cannot be diversified away. Almonty Industries holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.73, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Almonty Industries are expected to decrease at a much lower rate. During the bear market, Almonty Industries is likely to outperform the market. Use Almonty Industries total risk alpha, expected short fall, market facilitation index, as well as the relationship between the value at risk and daily balance of power , to analyze future returns on Almonty Industries.
Auto-correlation | 0.22 |
Weak predictability
Almonty Industries has weak predictability. Overlapping area represents the amount of predictability between Almonty Industries time series from 1st of May 2025 to 15th of June 2025 and 15th of June 2025 to 30th of July 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 Almonty Industries price movement. The serial correlation of 0.22 indicates that over 22.0% of current Almonty Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 1.34 |
Almonty Industries lagged returns against current returns
Autocorrelation, which is Almonty Industries otc stock'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 Almonty Industries' otc stock expected returns. We can calculate the autocorrelation of Almonty Industries returns to help us make a trade decision. For example, suppose you find that Almonty Industries has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
| Timeline |
Almonty Industries 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 Almonty Industries otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Almonty Industries otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Almonty Industries otc stock over time.
Current vs Lagged Prices |
| Timeline |
Almonty Industries Lagged Returns
When evaluating Almonty Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Almonty Industries otc stock have on its future price. Almonty Industries 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, Almonty Industries autocorrelation shows the relationship between Almonty Industries otc stock current value and its past values and can show if there is a momentum factor associated with investing in Almonty Industries.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
| USOI | Credit Suisse X Links | |
| ULTY | Tidal Trust II | |
| CONY | YieldMax N Option | |
| BCAT | BlackRock Capital Allocation | |
| PDI | Pimco Dynamic Income |
Other Information on Investing in Almonty OTC Stock
Almonty Industries financial ratios help investors to determine whether Almonty OTC Stock 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 Almonty with respect to the benefits of owning Almonty Industries security.