Samsara Luggage Stock Market Value
| SAML Stock | USD 0.0002 0.0001 33.33% |
| Symbol | Samsara |
Samsara Luggage '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 Samsara Luggage'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 Samsara Luggage.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in Samsara Luggage on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Samsara Luggage or generate 0.0% return on investment in Samsara Luggage over 180 days. Samsara Luggage, Inc. designs, develops, manufactures, and sells smart luggage products for travelers worldwide More
Samsara Luggage 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 Samsara Luggage'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 Samsara Luggage upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 53.26 | |||
| Information Ratio | 0.0761 | |||
| Maximum Drawdown | 375.0 | |||
| Value At Risk | (33.33) |
Samsara Luggage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Samsara Luggage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Samsara Luggage's standard deviation. In reality, there are many statistical measures that can use Samsara Luggage historical prices to predict the future Samsara Luggage's volatility.| Risk Adjusted Performance | 0.0646 | |||
| Jensen Alpha | 3.32 | |||
| Total Risk Alpha | (1.07) | |||
| Sortino Ratio | 0.0687 | |||
| Treynor Ratio | 0.642 |
Samsara Luggage Backtested Returns
Samsara Luggage is out of control given 3 months investment horizon. Samsara Luggage owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0778, which indicates the firm had a 0.0778 % return per unit of risk over the last 3 months. We have collected data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 3.74% are justified by taking the suggested risk. Use Samsara Luggage Semi Deviation of 15.25, coefficient of variation of 1285.8, and Risk Adjusted Performance of 0.0646 to evaluate company specific risk that cannot be diversified away. Samsara Luggage holds a performance score of 6 on a scale of zero to a hundred. The entity has a beta of 5.81, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Samsara Luggage will likely underperform. Use Samsara Luggage maximum drawdown, as well as the relationship between the skewness and day median price , to analyze future returns on Samsara Luggage.
Auto-correlation | 0.25 |
Poor predictability
Samsara Luggage has poor predictability. Overlapping area represents the amount of predictability between Samsara Luggage time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th 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 Samsara Luggage price movement. The serial correlation of 0.25 indicates that over 25.0% of current Samsara Luggage price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Samsara Luggage lagged returns against current returns
Autocorrelation, which is Samsara Luggage 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 Samsara Luggage's pink sheet expected returns. We can calculate the autocorrelation of Samsara Luggage returns to help us make a trade decision. For example, suppose you find that Samsara Luggage 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 |
Samsara Luggage 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 Samsara Luggage pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Samsara Luggage pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Samsara Luggage pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Samsara Luggage Lagged Returns
When evaluating Samsara Luggage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Samsara Luggage pink sheet have on its future price. Samsara Luggage 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, Samsara Luggage autocorrelation shows the relationship between Samsara Luggage pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Samsara Luggage.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet 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 ProphetOther Information on Investing in Samsara Pink Sheet
Samsara Luggage financial ratios help investors to determine whether Samsara Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Samsara with respect to the benefits of owning Samsara Luggage security.