Predictive Discovery Pink Sheet Forward View - Simple Regression
| PDIYF Stock | 0.58 0.04 7.41% |
This reference page presents Simple Regression forecast data for Predictive Discovery Limited. The projected values and error metrics are presented below as reference information.
The Simple Regression forecasted value of Predictive Discovery Limited on the next trading day is expected to be 0.65 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.57.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Predictive Discovery Limited historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression forecast data for Predictive Discovery Limited is sourced from the most recent available trading data and is intended solely as reference information. Simple Regression Price Forecast For the 26th of March
Given 90 days horizon, the Simple Regression forecasted value of Predictive Discovery Limited on the next trading day is expected to be 0.65 with a mean absolute deviation of 0.04 , mean absolute percentage error of 0.0024 , and the sum of the absolute errors of 2.57 .Please note that although there have been many attempts to predict Predictive Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Predictive Discovery's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
| Backtest Predictive Discovery | Predictive Discovery Price Prediction | Research Analysis |
Forecasted Value
Forecasting Predictive Discovery Limited for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Predictive Discovery pink sheet data series using in forecasting. Note that when a statistical model is used to represent Predictive Discovery pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 113.932 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0414 |
| MAPE | Mean absolute percentage error | 0.0679 |
| SAE | Sum of the absolute errors | 2.5688 |
Other Forecasting Options for Predictive Discovery
Predictive Discovery's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Predictive often signals an upcoming reversal or acceleration.Predictive Discovery Related Equities
Sizing up Predictive Discovery against these stocks within the Gold space shows how it compares on key financial measures. Looking at Predictive Discovery's pricing multiples next to these peers shows if the stock trades at a premium or discount. Peer pricing works best when the firms compared share similar business models and end markets.
| Risk & Return | Correlation |
Predictive Discovery Market Strength Events
Market strength indicators help investors evaluate how Predictive Discovery pink sheet reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Predictive Discovery Limited.
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 0.58 | |||
| Day Typical Price | 0.58 | |||
| Price Action Indicator | 0.02 | |||
| Period Momentum Indicator | 0.04 |
Predictive Discovery Risk Indicators
The analysis of Predictive Discovery's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding Predictive Discovery's allows investors to make informed decisions about their exposure.
| Mean Deviation | 3.34 | |||
| Semi Deviation | 4.2 | |||
| Standard Deviation | 5.75 | |||
| Variance | 33.07 | |||
| Downside Variance | 69.51 | |||
| Semi Variance | 17.61 | |||
| Expected Short fall | -6.32 |
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.
Story Coverage note for Predictive Discovery
A coverage review of Predictive Discovery Limited shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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Other Information on Investing in Predictive Pink Sheet
Financial ratios highlight how financial values interact within Predictive Discovery. Together, they show how profit and cash flow relate to valuation.