Li FT Pink Sheet Forward View
| LIFFF Stock | 3.39 0.41 13.76% |
Li FT's Naive Prediction reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Naive Prediction forecasted value of Li FT Power on the next trading day is expected to be 2.45 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.77.This model is not at all useful as a medium-long range forecasting tool of Li FT Power. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Li FT. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. Li FT's Naive Prediction reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Naive Prediction Price Forecast For the 25th of March
Given 90 days horizon, the Naive Prediction forecasted value of Li FT Power on the next trading day is expected to be 2.45 with a mean absolute deviation of 0.32 , mean absolute percentage error of 0.17 , and the sum of the absolute errors of 19.77 .Please note that although there have been many attempts to predict LIFFF 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 Li FT's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
Forecasted Value
The next-day forecast for Li FT Power focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Li FT pink sheet data series using in forecasting. Note that when a statistical model is used to represent Li FT 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 | 116.3263 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3241 |
| MAPE | Mean absolute percentage error | 0.0723 |
| SAE | Sum of the absolute errors | 19.7698 |
Other Forecasting Options for Li FT
Analyzing Li FT's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Li FT's chart can signal overbought or oversold conditions.Li FT Related Equities
These firms work in a similar space as Li FT and serve as useful points for comparison. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Li FT's peer group.
| Risk & Return | Correlation |
Li FT Market Strength Events
Market strength indicators for Li FT pink sheet provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade Li FT.
Li FT Risk Indicators
Assessing Li FT's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting Li FT's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 5.72 | |||
| Semi Deviation | 6.19 | |||
| Standard Deviation | 7.67 | |||
| Variance | 58.83 | |||
| Downside Variance | 45.91 | |||
| Semi Variance | 38.29 | |||
| Expected Short fall | -6.88 |
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 Li FT
Coverage intensity for Li FT Power matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.