Predictive Discovery Pink Sheet Forward View - Triple Exponential Smoothing
| PDIYF Stock | 0.54 -0.09 -14.29% |
This reference page presents Triple Exponential Smoothing forecast data for Predictive Discovery Limited. The model output shown here is derived from Predictive Discovery's historical price series and is provided for informational purposes.
The Triple Exponential Smoothing forecasted value of Predictive Discovery Limited on the next trading day is expected to be 0.54 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.40.As with simple exponential smoothing, in triple exponential smoothing models past Predictive Discovery observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Predictive Discovery Limited observations. This Triple Exponential Smoothing forecast data for Predictive Discovery Limited is sourced from the most recent available trading data and is intended solely as reference information. Triple Exponential Smoothing Price Forecast For the 21st of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Predictive Discovery Limited on the next trading day is expected to be 0.54 with a mean absolute deviation of 0.02 , mean absolute percentage error of 0.0013 , and the sum of the absolute errors of 1.40 .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
For the next trading day, Macroaxis evaluates Predictive Discovery's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 0.01 and upside near 6.43.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.007 |
| MAD | Mean absolute deviation | 0.0233 |
| MAPE | Mean absolute percentage error | 0.0397 |
| SAE | Sum of the absolute errors | 1.3996 |
Other Forecasting Options for Predictive Discovery
For every potential investor in Predictive, whether a beginner or expert, Predictive Discovery's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.Predictive Discovery Related Equities
The following equities are related to Predictive Discovery within the Gold space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Predictive Discovery against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Predictive Discovery Market Strength Events
Market strength indicators help investors to evaluate how Predictive Discovery pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Predictive Discovery shares will generate the highest return on.
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. The process involves identifying the amount of risk involved in Predictive Discovery's investment and either accepting that risk or mitigating it.
| Mean Deviation | 3.32 | |||
| Semi Deviation | 4.26 | |||
| Standard Deviation | 5.74 | |||
| Variance | 32.94 | |||
| Downside Variance | 65.61 | |||
| Semi Variance | 18.13 | |||
| Expected Short fall | -6.16 |
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
The amount of media and story coverage tied to Predictive Discovery Limited can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.
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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.