Atomic Minerals' market value is the price at which a share of Atomic Minerals trades on a public exchange. It measures the collective expectations of Atomic Minerals investors about its performance. Atomic Minerals is trading at 0.0234 as of the 2nd of December 2024. This is a 22% down since the beginning of the trading day. The stock's lowest day price was 0.0234. With this module, you can estimate the performance of a buy and hold strategy of Atomic Minerals and determine expected loss or profit from investing in Atomic Minerals over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in population.
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.
0.00
04/06/2024
No Change 0.00
0.0
In 7 months and 29 days
12/02/2024
0.00
If you would invest 0.00 in Atomic Minerals on April 6, 2024 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 240 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.
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.
Atomic Minerals secures Sharpe Ratio (or Efficiency) of -0.007, which signifies that the company had a -0.007% return per unit of risk over the last 3 months. Atomic Minerals exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Atomic Minerals' Mean Deviation of 2.17, risk adjusted performance of 0.0038, and Standard Deviation of 8.44 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.54, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Atomic Minerals' returns are expected to increase less than the market. However, during the bear market, the loss of holding Atomic Minerals is expected to be smaller as well. At this point, Atomic Minerals has a negative expected return of -0.0597%. Please make sure to confirm Atomic Minerals' value at risk, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Atomic Minerals performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.37
Poor reverse predictability
Atomic Minerals has poor reverse predictability. Overlapping area represents the amount of predictability between Atomic Minerals time series from 6th of April 2024 to 4th of August 2024 and 4th of August 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 Atomic Minerals price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Atomic Minerals price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.37
Spearman Rank Test
0.24
Residual Average
0.0
Price Variance
0.0
Atomic Minerals lagged returns against current returns
Autocorrelation, which is Atomic 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 Atomic Minerals' pink sheet expected returns. We can calculate the autocorrelation of Atomic Minerals returns to help us make a trade decision. For example, suppose you find that Atomic 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
Timeline
Atomic 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 Atomic Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Atomic 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 Atomic Minerals pink sheet over time.
Current vs Lagged Prices
Timeline
Atomic Minerals Lagged Returns
When evaluating Atomic Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Atomic Minerals pink sheet have on its future price. Atomic 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, Atomic Minerals autocorrelation shows the relationship between Atomic Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Atomic Minerals.