Alien Metals Stock Market Value
ASLRF Stock | USD 0 0.00 0.00% |
Symbol | Alien |
Alien 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 Alien 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 Alien Metals.
02/28/2024 |
| 03/29/2024 |
If you would invest 0.00 in Alien Metals on February 28, 2024 and sell it all today you would earn a total of 0.00 from holding Alien Metals or generate 0.0% return on investment in Alien Metals over 30 days. Alien Metals is related to or competes with Compania, Vyne Therapeutics, Barloworld, Morningstar Unconstrained, SPACE, Via Renewables, and T Rowe. Alien Metals Ltd, together with its subsidiaries, engages in the acquisition and development of mineral resource assets More
Alien 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 Alien 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 Alien Metals upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 52.4 | |||
Information Ratio | 0.0733 | |||
Maximum Drawdown | 228.49 | |||
Value At Risk | (53.70) | |||
Potential Upside | 17.65 |
Alien Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alien Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alien Metals' standard deviation. In reality, there are many statistical measures that can use Alien Metals historical prices to predict the future Alien Metals' volatility.Risk Adjusted Performance | 0.0526 | |||
Jensen Alpha | 4.4 | |||
Total Risk Alpha | (5.54) | |||
Sortino Ratio | 0.0523 | |||
Treynor Ratio | (0.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alien Metals' 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.
Alien Metals Backtested Returns
Alien Metals is out of control given 3 months investment horizon. Alien Metals secures Sharpe Ratio (or Efficiency) of 0.1, which signifies that the company had a 0.1% return per unit of risk over the last 3 months. We were able to interpolate data for twenty-four different technical indicators, which can help you to evaluate if expected returns of 3.87% are justified by taking the suggested risk. Use Alien Metals Mean Deviation of 14.52, downside deviation of 52.4, and Risk Adjusted Performance of 0.0526 to evaluate company specific risk that cannot be diversified away. Alien Metals holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -12.31, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Alien Metals are expected to decrease by larger amounts. On the other hand, during market turmoil, Alien Metals is expected to outperform it. Use Alien Metals jensen alpha and the relationship between the maximum drawdown and rate of daily change , to analyze future returns on Alien Metals.
Auto-correlation | 0.00 |
No correlation between past and present
Alien Metals has no correlation between past and present. Overlapping area represents the amount of predictability between Alien Metals time series from 28th of February 2024 to 14th of March 2024 and 14th of March 2024 to 29th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alien Metals price movement. The serial correlation of 0.0 indicates that just 0.0% of current Alien Metals price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | -0.19 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Alien Metals lagged returns against current returns
Autocorrelation, which is Alien Metals 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 Alien Metals' pink sheet expected returns. We can calculate the autocorrelation of Alien Metals returns to help us make a trade decision. For example, suppose you find that Alien Metals 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 |
Timeline |
Alien Metals 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 Alien Metals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alien Metals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alien Metals pink sheet over time.
Current vs Lagged Prices |
Timeline |
Alien Metals Lagged Returns
When evaluating Alien Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alien Metals pink sheet have on its future price. Alien Metals 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, Alien Metals autocorrelation shows the relationship between Alien Metals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Alien Metals.
Regressed Prices |
Timeline |
Pair Trading with Alien Metals
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Alien Metals position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Alien Metals will appreciate offsetting losses from the drop in the long position's value.Moving against Alien Pink Sheet
0.59 | TFPM | Triple Flag Precious Financial Report 14th of May 2024 | PairCorr |
0.42 | IMPUY | Impala Platinum Holdings | PairCorr |
0.42 | KBH | KB Home Financial Report 19th of June 2024 | PairCorr |
The ability to find closely correlated positions to Alien Metals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alien Metals when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Alien Metals - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Alien Metals to buy it.
The correlation of Alien Metals is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Alien Metals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alien Metals moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Alien Metals can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Alien Metals Correlation, Alien Metals Volatility and Alien Metals Alpha and Beta module to complement your research on Alien Metals. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Complementary Tools for Alien Pink Sheet analysis
When running Alien Metals' price analysis, check to measure Alien Metals' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Alien Metals is operating at the current time. Most of Alien Metals' value examination focuses on studying past and present price action to predict the probability of Alien Metals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alien Metals' price. Additionally, you may evaluate how the addition of Alien Metals to your portfolios can decrease your overall portfolio volatility.
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Alien Metals technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.