Sensei Biotherapeutics Stock Forward View - 8 Period Moving Average
| SNSE Stock | USD 20.73 -2.67 -11.41% |
8 Period Moving Average is applied to Sensei Biotherapeutics's daily closing prices, and the resulting forecast is presented with accuracy metrics. Wide deviation between fitted and observed values suggests the model's assumptions may not match current market conditions. The 8 Period Moving Average model projects Sensei Biotherapeutics at 24.27 for the next trading day, above the most recent closing price. This 8 Period Moving Average output is provided as analytical reference and does not constitute a trading recommendation.
8 Period Moving Average Price Forecast For the 12th of May 2026
Over a 90-day horizon, the 8 Period Moving Average model forecasts Sensei Biotherapeutics at 24.27 for the next trading day, with a mean absolute deviation of 2.00 , mean absolute percentage error of 0.07 , and sum of absolute errors of 106.17 .This indicates moderate forecast accuracy — the model captures the general trend but not all short-term variation in Sensei Biotherapeutics' price. This output is intended for short-term analytical reference.
Stock Forecast Pattern
| Backtest Sensei Biotherapeutics | Sensei Biotherapeutics Price Prediction | Research Analysis |
Forecasted Value
The projected range for Sensei Biotherapeutics reflects the model's ability to define credible downside and upside scenarios for the next trading day. Downside is estimated near 0.21 and upside near 48.63. The wide range indicates elevated uncertainty in short-term projections.
Model Predictive Factors
The table below summarizes the 8 Period Moving Average model's error metrics for Sensei Biotherapeutics stock. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.| AIC | Akaike Information Criteria | 105.1938 |
| Bias | Arithmetic mean of the errors | 0.626 |
| MAD | Mean absolute deviation | 2.0032 |
| MAPE | Mean absolute percentage error | 0.0719 |
| SAE | Sum of the absolute errors | 106.1675 |
Other Forecasting Options for Sensei Biotherapeutics
The distribution of Sensei Biotherapeutics' daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This reveals hidden support and resistance zones in Sensei Biotherapeutics' chart that simple price charts miss.Sensei Biotherapeutics Related Equities
Investors studying Sensei Biotherapeutics often look at related stocks within the Health Care space to gauge pricing and results. Market cap and total value checks frame Sensei Biotherapeutics' size within the competitive field. When Sensei Biotherapeutics breaks from its peer group on a key metric, it often signals a firm-level change worth exploring.
| Risk & Return | Correlation |
Sensei Biotherapeutics Market Strength Events
Market strength indicators for Sensei Biotherapeutics stock provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in Sensei Biotherapeutics.
Sensei Biotherapeutics Risk Indicators
Assessing Sensei Biotherapeutics' risk indicators is a structured way to evaluate the risk-return trade-off for sensei stock. The level of risk embedded in Sensei Biotherapeutics' feeds directly into exposure calibration.
| Mean Deviation | 7.89 | |||
| Semi Deviation | 4.17 | |||
| Standard Deviation | 23.93 | |||
| Variance | 572.41 | |||
| Downside Variance | 31.13 | |||
| Semi Variance | 17.4 | |||
| Expected Short fall | -9.93 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Sensei Biotherapeutics Short Properties
Reviewing short-oriented indicators for Sensei Biotherapeutics is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 1.26 million | |
| Cash And Short Term Investments | 21.18 million |