Atlantis Subsea (Indonesia) Market Value

ATLA Stock   50.00  0.00  0.00%   
Atlantis Subsea's market value is the price at which a share of Atlantis Subsea trades on a public exchange. It measures the collective expectations of Atlantis Subsea Indonesia investors about its performance. Atlantis Subsea is selling for 50.00 as of the 1st of December 2024. This is a No Change since the beginning of the trading day. The stock's last reported lowest price was 50.0.
With this module, you can estimate the performance of a buy and hold strategy of Atlantis Subsea Indonesia and determine expected loss or profit from investing in Atlantis Subsea 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 board of governors.
Symbol

Atlantis Subsea '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 Atlantis Subsea's 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 Atlantis Subsea.
0.00
06/10/2023
No Change 0.00  0.0 
In 1 year 5 months and 24 days
12/01/2024
0.00
If you would invest  0.00  in Atlantis Subsea on June 10, 2023 and sell it all today you would earn a total of 0.00 from holding Atlantis Subsea Indonesia or generate 0.0% return on investment in Atlantis Subsea over 540 days.

Atlantis Subsea 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 Atlantis Subsea's 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 Atlantis Subsea Indonesia upside and downside potential and time the market with a certain degree of confidence.

Atlantis Subsea Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Atlantis Subsea's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Atlantis Subsea's standard deviation. In reality, there are many statistical measures that can use Atlantis Subsea historical prices to predict the future Atlantis Subsea's volatility.

Atlantis Subsea Indonesia Backtested Returns

We have found three technical indicators for Atlantis Subsea Indonesia, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Atlantis Subsea are completely uncorrelated.

Auto-correlation

    
  0.00  

No correlation between past and present

Atlantis Subsea Indonesia has no correlation between past and present. Overlapping area represents the amount of predictability between Atlantis Subsea time series from 10th of June 2023 to 6th of March 2024 and 6th of March 2024 to 1st 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 Atlantis Subsea Indonesia price movement. The serial correlation of 0.0 indicates that just 0.0% of current Atlantis Subsea price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

Atlantis Subsea Indonesia lagged returns against current returns

Autocorrelation, which is Atlantis Subsea 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 Atlantis Subsea's stock expected returns. We can calculate the autocorrelation of Atlantis Subsea returns to help us make a trade decision. For example, suppose you find that Atlantis Subsea has exhibited high autocorrelation historically, and you observe that the 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  

Atlantis Subsea 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 Atlantis Subsea stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Atlantis Subsea stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Atlantis Subsea stock over time.
   Current vs Lagged Prices   
       Timeline  

Atlantis Subsea Lagged Returns

When evaluating Atlantis Subsea's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Atlantis Subsea stock have on its future price. Atlantis Subsea 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, Atlantis Subsea autocorrelation shows the relationship between Atlantis Subsea stock current value and its past values and can show if there is a momentum factor associated with investing in Atlantis Subsea Indonesia.
   Regressed Prices   
       Timeline  

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect