Naked Wines Pink Sheet Forward View - Polynomial Regression
Polynomial Regression is applied to Naked Wines plc'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. These values update automatically with each new closing price. The Polynomial Regression model projects Naked Wines at 3.15 for the next trading day, above the most recent closing price. This Polynomial Regression output is provided as analytical reference and does not constitute a trading recommendation.
Polynomial Regression Price Forecast For the 7th of May
Over a 90-day horizon, the Polynomial Regression model forecasts Naked Wines at 3.15 for the next trading day, with a mean absolute deviation of 0.29 , mean absolute percentage error of Huge , and sum of absolute errors of 17.58 .This indicates weak forecast accuracy — the model has limited predictive reliability for Naked Wines' at this horizon. This output is intended for short-term analytical reference.
Pink Sheet Forecast Pattern
| Backtest Naked Wines | Naked Wines Price Prediction | Research Analysis |
Forecasted Value
This forecast for Naked Wines frames the expected trading range using downside and upside bounds rather than a single point target. The forecast band spans 0.00 to 15.91. The wide range indicates elevated uncertainty in short-term projections.
Model Predictive Factors
The table below summarizes the Polynomial Regression model's error metrics for Naked Wines pink sheet. 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 | 116.6899 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2883 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 17.5834 |
Other Forecasting Options for Naked Wines
Naked Wines' daily price returns decompose into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Naked Wines often signals an upcoming reversal or acceleration. Gap analysis of Naked Wines Pink Sheet data examines overnight jumps between Naked Wines' closing and opening prices.Naked Wines Related Equities
The peer firms below within the Beverages—Wineries & Distilleries space frame Naked Wines' pricing and running costs in context. Looking at Naked Wines' pricing multiples next to these peers shows if the stock trades at a premium or discount. Peer review is most informative when paired with absolute pricing and trend checks. This type of review is most informative when done often to track how positions shift over time.
| Risk & Return | Correlation |
Naked Wines Risk Indicators
Assessing Naked Wines' risk indicators is a structured way to evaluate the risk-return trade-off for naked wines pink sheet. The level of risk embedded in Naked Wines' feeds directly into exposure calibration. Comparing Naked Wines' downside variance to total variance reveals whether the risk profile is skewed toward losses.
| Mean Deviation | 3.54 | |||
| Standard Deviation | 12.76 | |||
| Variance | 162.91 |
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.
More Resources for Naked Wines Pink Sheet Analysis
Financial ratios for Naked Wines organize key financial data into structured relationships. The structure maintains uniform comparisons across financial reports.