Live Current OTC Stock Forecast - Simple Regression

LIVC Stock  USD 0.0001  0.00  0.00%   
The Simple Regression forecasted value of Live Current Media on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Live OTC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Live Current stock prices and determine the direction of Live Current Media's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Live Current's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Live Current price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Live Current Simple Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Live Current Media on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Live OTC Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Live Current's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Live Current OTC Stock Forecast Pattern

Backtest Live CurrentLive Current Price PredictionBuy or Sell Advice 

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 Live Current otc stock data series using in forecasting. Note that when a statistical model is used to represent Live Current 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.
AICAkaike Information Criteria30.3989
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
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 Live Current Media historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Live Current

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Live Current Media. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Live Current's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Live Current Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Live Current otc stock to make a market-neutral strategy. Peer analysis of Live Current could also be used in its relative valuation, which is a method of valuing Live Current by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Live Current Market Strength Events

Market strength indicators help investors to evaluate how Live Current 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 Live Current shares will generate the highest return on investment. By undertsting and applying Live Current otc stock market strength indicators, traders can identify Live Current Media entry and exit signals to maximize returns.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Live OTC Stock

Live Current financial ratios help investors to determine whether Live OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Live with respect to the benefits of owning Live Current security.