Sqz Biotechnologies Stock Market Value
| SQZB Stock | 0.02 0.00 0.00% |
| Symbol | SQZ |
SQZ Biotechnologies '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 SQZ Biotechnologies' 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 SQZ Biotechnologies.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in SQZ Biotechnologies on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding SQZ Biotechnologies or generate 0.0% return on investment in SQZ Biotechnologies over 90 days.
SQZ Biotechnologies 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 SQZ Biotechnologies' 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 SQZ Biotechnologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 50.43 | |||
| Value At Risk | (3.33) |
SQZ Biotechnologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SQZ Biotechnologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SQZ Biotechnologies' standard deviation. In reality, there are many statistical measures that can use SQZ Biotechnologies historical prices to predict the future SQZ Biotechnologies' volatility.| Risk Adjusted Performance | 0.0106 | |||
| Jensen Alpha | 0.0295 | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.01) |
SQZ Biotechnologies February 4, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.0106 | |||
| Market Risk Adjusted Performance | 0.0032 | |||
| Mean Deviation | 1.16 | |||
| Coefficient Of Variation | 33993.6 | |||
| Standard Deviation | 4.77 | |||
| Variance | 22.79 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0295 | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.01) | |||
| Maximum Drawdown | 50.43 | |||
| Value At Risk | (3.33) | |||
| Skewness | 2.8 | |||
| Kurtosis | 30.21 |
SQZ Biotechnologies Backtested Returns
At this point, SQZ Biotechnologies is out of control. SQZ Biotechnologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0221, which indicates the firm had a 0.0221 % return per unit of risk over the last 3 months. We have found eighteen technical indicators for SQZ Biotechnologies, which you can use to evaluate the volatility of the company. Please validate SQZ Biotechnologies' Coefficient Of Variation of 33993.6, variance of 22.79, and Risk Adjusted Performance of 0.0106 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. SQZ Biotechnologies has a performance score of 1 on a scale of 0 to 100. The entity has a beta of -0.59, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SQZ Biotechnologies are expected to decrease at a much lower rate. During the bear market, SQZ Biotechnologies is likely to outperform the market. SQZ Biotechnologies presently has a risk of 4.81%. Please validate SQZ Biotechnologies market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and kurtosis , to decide if SQZ Biotechnologies will be following its existing price patterns.
Auto-correlation | 0.07 |
Virtually no predictability
SQZ Biotechnologies has virtually no predictability. Overlapping area represents the amount of predictability between SQZ Biotechnologies time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 SQZ Biotechnologies price movement. The serial correlation of 0.07 indicates that barely 7.0% of current SQZ Biotechnologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |