Lithium Ionic OTC Stock Forward View - Polynomial Regression
| LTHCF Stock | USD 0.87 0.17 24.29% |
Lithium Ionic Corp's Polynomial Regression reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for Lithium Ionic. This page is updated as new daily closing prices become available for Lithium Ionic.
The Polynomial Regression forecasted value of Lithium Ionic Corp on the next trading day is expected to be 0.84 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.64.A single variable polynomial regression model attempts to put a curve through the Lithium Ionic historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm All Polynomial Regression forecast figures shown for Lithium Ionic Corp are reference data reflecting model output based on available historical prices. Polynomial Regression Price Forecast For the 27th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Lithium Ionic Corp on the next trading day is expected to be 0.84 with a mean absolute deviation of 0.06 , mean absolute percentage error of 0.0046 , and the sum of the absolute errors of 3.64 .Please note that although there have been many attempts to predict Lithium 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 Lithium Ionic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
OTC Stock Forecast Pattern
| Backtest Lithium Ionic | Lithium Ionic Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Lithium Ionic Corp focuses on identifying predictive downside and upside bands that can frame a realistic trading range. At the moment, the model places downside around 0.01 and upside around 6.71 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Lithium Ionic otc stock data series using in forecasting. Note that when a statistical model is used to represent Lithium Ionic 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 | 114.572 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0588 |
| MAPE | Mean absolute percentage error | 0.0749 |
| SAE | Sum of the absolute errors | 3.6441 |
Other Forecasting Options for Lithium Ionic
Bollinger Bands applied to Lithium OTC Stock price data measure how far Lithium has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Lithium Ionic's price data. On-balance volume for Lithium OTC Stock creates a running indicator of buying versus selling pressure in Lithium. Price departures from the channel boundary often mean-revert, offering tactical signals for Lithium Ionic's.Lithium Ionic Related Equities
These stocks are related to Lithium Ionic within the Other Industrial Metals & Mining space and can be used for peer review, pricing, or spreading risk. Return on equity across these peers shows how well each firm turns capital into profit. Identifying peers that steadily beat or lag Lithium Ionic across many periods highlights durable competitive gaps. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
| Risk & Return | Correlation |
Lithium Ionic Market Strength Events
For investors tracking Lithium Ionic Corp, market strength indicators offer quantitative evaluation of otc stock behavior. These indicators add context to timing decisions around Lithium Ionic Corp positions. These indicators capture shifts in momentum that may precede significant price moves in Lithium Ionic. These metrics provide actionable context for both entry and risk management decisions around Lithium Ionic Corp.
Lithium Ionic Risk Indicators
Analyzing Lithium Ionic's basic risk indicators provides investors with a structured view of the risk-return trade-off for lithium otc stock. By identifying the level of risk embedded in Lithium Ionic's investment, investors can make informed decisions about position sizing. Analyzing Lithium Ionic's risk indicators gives investors important context for price forecasting. Understanding the risk in Lithium Ionic's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 4.1 | |||
| Semi Deviation | 4.29 | |||
| Standard Deviation | 5.98 | |||
| Variance | 35.74 | |||
| Downside Variance | 31.53 | |||
| Semi Variance | 18.41 | |||
| Expected Short fall | -5.67 |
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 Lithium Ionic
Story coverage around Lithium Ionic Corp often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.
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At Lithium Ionic, financial ratios outline links between core financial data. The data reflects the most recent reporting period available and is provided for reference.