Metalert Stock Market Value
MLRT Stock | USD 0.05 0.01 21.95% |
Symbol | Metalert |
Metalert '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 Metalert's 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 Metalert.
11/02/2024 |
| 12/02/2024 |
If you would invest 0.00 in Metalert on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Metalert or generate 0.0% return on investment in Metalert over 30 days. Metalert is related to or competes with Boxlight Corp, Siyata Mobile, ClearOne, Mobilicom Limited, and SatixFy Communications. Metalert, Inc. designs, develops, manufactures, and sells products and services in the personal location services market... More
Metalert 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 Metalert's 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 Metalert upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 17.18 | |||
Information Ratio | 0.1219 | |||
Maximum Drawdown | 65.03 | |||
Value At Risk | (21.67) | |||
Potential Upside | 25.77 |
Metalert Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Metalert's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Metalert's standard deviation. In reality, there are many statistical measures that can use Metalert historical prices to predict the future Metalert's volatility.Risk Adjusted Performance | 0.1103 | |||
Jensen Alpha | 2.02 | |||
Total Risk Alpha | (0.48) | |||
Sortino Ratio | 0.0962 | |||
Treynor Ratio | (0.93) |
Metalert Backtested Returns
Metalert is out of control given 3 months investment horizon. Metalert has Sharpe Ratio of 0.14, which conveys that the firm had a 0.14% return per unit of risk over the last 3 months. We were able to interpolate data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.93% are justified by taking the suggested risk. Use Metalert Mean Deviation of 8.9, risk adjusted performance of 0.1103, and Downside Deviation of 17.18 to evaluate company specific risk that cannot be diversified away. Metalert holds a performance score of 11 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -1.91, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Metalert are expected to decrease by larger amounts. On the other hand, during market turmoil, Metalert is expected to outperform it. Use Metalert total risk alpha, downside variance, as well as the relationship between the Downside Variance and rate of daily change , to analyze future returns on Metalert.
Auto-correlation | 0.64 |
Good predictability
Metalert has good predictability. Overlapping area represents the amount of predictability between Metalert time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd of December 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 Metalert price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Metalert price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.64 | |
Spearman Rank Test | 0.45 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Metalert lagged returns against current returns
Autocorrelation, which is Metalert 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 Metalert's pink sheet expected returns. We can calculate the autocorrelation of Metalert returns to help us make a trade decision. For example, suppose you find that Metalert 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 |
Metalert 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 Metalert pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Metalert pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Metalert pink sheet over time.
Current vs Lagged Prices |
Timeline |
Metalert Lagged Returns
When evaluating Metalert's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Metalert pink sheet have on its future price. Metalert 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, Metalert autocorrelation shows the relationship between Metalert pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Metalert.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for Metalert Pink Sheet Analysis
When running Metalert's price analysis, check to measure Metalert's 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 Metalert is operating at the current time. Most of Metalert's value examination focuses on studying past and present price action to predict the probability of Metalert's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Metalert's price. Additionally, you may evaluate how the addition of Metalert to your portfolios can decrease your overall portfolio volatility.