Biotechnology Ultrasector Mutual Fund Forward View
| BIPSX Fund | USD 39.43 0.44 1.13% |
Naive Prediction is applied to Biotechnology Ultrasector Profund'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 Naive Prediction model projects Biotechnology Ultrasector at 39.07 for the next trading day, below the most recent closing price. This Naive Prediction output is provided as analytical reference and does not constitute a trading recommendation.
Naive Prediction Price Forecast For the 9th of May
Over a 90-day horizon, the Naive Prediction model forecasts Biotechnology Ultrasector at 39.07 for the next trading day, with a mean absolute deviation of 0.80 , mean absolute percentage error of 0.02 , and sum of absolute errors of 48.56 .This represents a tight forecast with good short-term tracking of Biotechnology Ultrasector's price movement. This output is intended for short-term analytical reference.
Mutual Fund Forecast Pattern
| Backtest Biotechnology Ultrasector | Biotechnology Ultrasector Price Prediction | Research Analysis |
Forecasted Value
Biotechnology Ultrasector's next-session forecast estimates practical downside and upside boundaries based on the model's historical fit. The current forecast range spans downside near 36.32 and upside near 41.82. The wide range indicates elevated uncertainty in short-term projections.
Model Predictive Factors
The table below summarizes the Naive Prediction model's error metrics for Biotechnology Ultrasector mutual fund. 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 | 118.2324 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7961 |
| MAPE | Mean absolute percentage error | 0.0216 |
| SAE | Sum of the absolute errors | 48.5647 |
Other Forecasting Options for Biotechnology Ultrasector
The distribution of Biotechnology Ultrasector's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This reveals hidden support and resistance zones in Biotechnology Ultrasector's chart that simple price charts miss.Biotechnology Ultrasector Comparable Funds
These peer funds are related to Biotechnology Ultrasector and help frame its category context. Peer review is strongest when it focuses on NAV trend, discount or premium to NAV, yield, and fee burden. A fund that looks different from peers may simply be following a distinct exposure or payout strategy. Taken together, these peers help define a more relevant comparison frame for Biotechnology Ultrasector.
| Risk & Return | Correlation |
Biotechnology Ultrasector Market Strength Events
Market strength indicators for Biotechnology Ultrasector mutual fund provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in Biotechnology Ultrasector.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 39.43 | |||
| Day Typical Price | 39.43 | |||
| Price Action Indicator | 0.22 | |||
| Period Momentum Indicator | 0.44 | |||
| Relative Strength Index | 54.39 |
Biotechnology Ultrasector Risk Indicators
Assessing Biotechnology Ultrasector's risk indicators is a structured way to evaluate the risk-return trade-off for biotechnology mutual fund. The level of risk embedded in Biotechnology Ultrasector's feeds directly into exposure calibration.
| Mean Deviation | 2.18 | |||
| Semi Deviation | 2.41 | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.36 | |||
| Downside Variance | 6.48 | |||
| Semi Variance | 5.8 | |||
| Expected Short fall | -2.36 |
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.