Samsara Luggage Stock Market Value
| SAML Stock | USD 0.0002 0.00 0.00% |
| 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.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Samsara Luggage on November 30, 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 90 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.
| Information Ratio | 0.0359 | |||
| Maximum Drawdown | 233.33 | |||
| Value At Risk | (25.00) |
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 | 0.0397 | |||
| Jensen Alpha | 1.53 | |||
| Total Risk Alpha | (1.82) | |||
| Treynor Ratio | (0.19) |
Samsara Luggage February 28, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0397 | |||
| Market Risk Adjusted Performance | (0.18) | |||
| Mean Deviation | 7.51 | |||
| Coefficient Of Variation | 2557.11 | |||
| Standard Deviation | 27.77 | |||
| Variance | 770.98 | |||
| Information Ratio | 0.0359 | |||
| Jensen Alpha | 1.53 | |||
| Total Risk Alpha | (1.82) | |||
| Treynor Ratio | (0.19) | |||
| Maximum Drawdown | 233.33 | |||
| Value At Risk | (25.00) | |||
| Skewness | 5.61 | |||
| Kurtosis | 42.15 |
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 0.04, which indicates the firm had a 0.04 % return per unit of risk over the last 3 months. We have collected data for eighteen different technical indicators, which can help you to evaluate if expected returns of 1.14% are justified by taking the suggested risk. Use Samsara Luggage Risk Adjusted Performance of 0.0397, coefficient of variation of 2557.11, and Variance of 770.98 to evaluate company specific risk that cannot be diversified away. Samsara Luggage holds a performance score of 3 on a scale of zero to a hundred. The entity has a beta of -5.7, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Samsara Luggage are expected to decrease by larger amounts. On the other hand, during market turmoil, Samsara Luggage is expected to outperform it. Use Samsara Luggage information ratio and kurtosis , to analyze future returns on Samsara Luggage.
Auto-correlation | 0.00 |
No correlation between past and present
Samsara Luggage has no correlation between past and present. Overlapping area represents the amount of predictability between Samsara Luggage time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th of February 2026. 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 0.0 indicates that just 0.0% of current Samsara Luggage price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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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.