The Simple Regression forecasted value of Neo Battery Materials on the next trading day is expected to be 0.61 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.54. Neo OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Neo Battery's historical fundamentals, such as revenue growth or operating cash flow patterns.
Neo
Simple Regression model is a single variable regression model that attempts to put a straight line through Neo Battery 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.
Neo Battery Simple Regression Price Forecast For the 19th of January
Given 90 days horizon, the Simple Regression forecasted value of Neo Battery Materials on the next trading day is expected to be 0.61 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.54.
Please note that although there have been many attempts to predict Neo 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 Neo Battery's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting Neo Battery's OTC Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Neo Battery's downside and upside margins for the forecasting period are 0.01 and 11.52, respectively. We have considered Neo Battery's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
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 Neo Battery otc stock data series using in forecasting. Note that when a statistical model is used to represent Neo Battery 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
113.274
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0744
MAPE
Mean absolute percentage error
0.1668
SAE
Sum of the absolute errors
4.5386
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 Neo Battery Materials 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 Neo Battery
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Neo Battery Materials. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Neo Battery. Your research has to be compared to or analyzed against Neo Battery's peers to derive any actionable benefits. When done correctly, Neo Battery's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Neo Battery Materials.
Other Forecasting Options for Neo Battery
For every potential investor in Neo, whether a beginner or expert, Neo Battery's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Neo OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Neo. Basic forecasting techniques help filter out the noise by identifying Neo Battery's price trends.
Neo Battery Materials Technical and Predictive Analytics
The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Neo Battery's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Neo Battery's current price.
Market strength indicators help investors to evaluate how Neo Battery 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 Neo Battery shares will generate the highest return on investment. By undertsting and applying Neo Battery otc stock market strength indicators, traders can identify Neo Battery Materials entry and exit signals to maximize returns.
The analysis of Neo Battery'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 Neo Battery's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting neo otc stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.
Neo Battery financial ratios help investors to determine whether Neo 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 Neo with respect to the benefits of owning Neo Battery security.