Carl Data OTC Stock Forward View - Double Exponential Smoothing
| CDTAF Stock | USD 0.03 0.0003 1.01% |
This reference page presents Double Exponential Smoothing forecast data for Carl Data Solutions. The model output shown here is derived from Carl Data's historical price series and is provided for informational purposes.
The Double Exponential Smoothing forecasted value of Carl Data Solutions on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.0021 and the sum of the absolute errors of 0.12.When Carl Data Solutions prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Carl Data Solutions trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Carl Data observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Carl Data Solutions is sourced from the most recent available trading data and is intended solely as reference information. Double Exponential Smoothing Price Forecast For the 18th of March 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Carl Data Solutions on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.0021 , mean absolute percentage error of 0.000011 , and the sum of the absolute errors of 0.12 .Please note that although there have been many attempts to predict Carl OTC Stock 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 Carl Data's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
OTC Stock Forecast Pattern
| Backtest Carl Data | Carl Data Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Carl Data Solutions uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Carl Data otc stock data series using in forecasting. Note that when a statistical model is used to represent Carl Data otc stock, 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 | 4.0E-4 |
| MAD | Mean absolute deviation | 0.0021 |
| MAPE | Mean absolute percentage error | 0.0751 |
| SAE | Sum of the absolute errors | 0.1233 |
Other Forecasting Options for Carl Data
For every potential investor in Carl, whether a beginner or expert, Carl Data's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.Carl Data Related Equities
The following equities are related to Carl Data within the Software—Application space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Carl Data 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 |
Carl Data Market Strength Events
Market strength indicators help investors to evaluate how Carl Data otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Carl Data shares will generate the highest return on.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 0.03 | |||
| Day Typical Price | 0.03 | |||
| Price Action Indicator | 1.0E-4 | |||
| Period Momentum Indicator | 3.0E-4 | |||
| Relative Strength Index | 53.31 |
Carl Data Risk Indicators
The analysis of Carl Data'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 Carl Data's investment and either accepting that risk or mitigating it.
| Mean Deviation | 5.71 | |||
| Semi Deviation | 6.45 | |||
| Standard Deviation | 9.39 | |||
| Variance | 88.21 | |||
| Downside Variance | 77.0 | |||
| Semi Variance | 41.55 | |||
| Expected Short fall | -9.41 |
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 Carl Data
Coverage intensity for Carl Data Solutions matters because narrative visibility can influence sentiment, participation, and volatility around the name. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Financial ratios for Carl Data help frame valuation context across profits, cash flow, and enterprise value. They help compare Carl across measures in a consistent way.