AppSpotr (Sweden) Market Value
| APTR Stock | 28.63 0.00 0.00% |
| Symbol | AppSpotr |
AppSpotr '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 AppSpotr'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 AppSpotr.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in AppSpotr on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding AppSpotr AB or generate 0.0% return on investment in AppSpotr over 30 days. More
AppSpotr 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 AppSpotr'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 AppSpotr AB upside and downside potential and time the market with a certain degree of confidence.
AppSpotr Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AppSpotr's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AppSpotr's standard deviation. In reality, there are many statistical measures that can use AppSpotr historical prices to predict the future AppSpotr's volatility.AppSpotr AB Backtested Returns
We have found three technical indicators for AppSpotr AB, 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 AppSpotr are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
AppSpotr AB has perfect predictability. Overlapping area represents the amount of predictability between AppSpotr time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 AppSpotr AB price movement. The serial correlation of 1.0 indicates that 100.0% of current AppSpotr price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AppSpotr AB lagged returns against current returns
Autocorrelation, which is AppSpotr 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 AppSpotr's stock expected returns. We can calculate the autocorrelation of AppSpotr returns to help us make a trade decision. For example, suppose you find that AppSpotr 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 |
AppSpotr 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 AppSpotr stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AppSpotr stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AppSpotr stock over time.
Current vs Lagged Prices |
| Timeline |
AppSpotr Lagged Returns
When evaluating AppSpotr's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AppSpotr stock have on its future price. AppSpotr 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, AppSpotr autocorrelation shows the relationship between AppSpotr stock current value and its past values and can show if there is a momentum factor associated with investing in AppSpotr AB.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for AppSpotr Stock Analysis
When running AppSpotr's price analysis, check to measure AppSpotr'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 AppSpotr is operating at the current time. Most of AppSpotr's value examination focuses on studying past and present price action to predict the probability of AppSpotr's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AppSpotr's price. Additionally, you may evaluate how the addition of AppSpotr to your portfolios can decrease your overall portfolio volatility.