Surge Battery Pink Sheet Forecast - 4 Period Moving Average

NILIF Stock  USD 0.24  0.01  4.00%   
The 4 Period Moving Average forecasted value of Surge Battery Metals on the next trading day is expected to be 0.24 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.84. Surge Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Surge Battery's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Surge Battery Metals is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Surge Battery 4 Period Moving Average Price Forecast For the 17th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Surge Battery Metals on the next trading day is expected to be 0.24 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.84.
Please note that although there have been many attempts to predict Surge Pink Sheet 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 Surge Battery's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Surge Battery Pink Sheet Forecast Pattern

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Surge Battery Forecasted Value

In the context of forecasting Surge Battery's Pink Sheet 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. Surge Battery's downside and upside margins for the forecasting period are 0 and 5.08, respectively. We have considered Surge 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.
Market Value
0.24
0.24
Expected Value
5.08
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Surge Battery pink sheet data series using in forecasting. Note that when a statistical model is used to represent Surge Battery 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.
AICAkaike Information Criteria102.8123
BiasArithmetic mean of the errors 0.0014
MADMean absolute deviation0.0148
MAPEMean absolute percentage error0.0475
SAESum of the absolute errors0.8425
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Surge Battery. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Surge Battery Metals and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Surge 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 Surge Battery Metals. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
0.010.245.08
Details
Intrinsic
Valuation
LowRealHigh
0.010.235.07
Details

Other Forecasting Options for Surge Battery

For every potential investor in Surge, whether a beginner or expert, Surge Battery's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Surge Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Surge. Basic forecasting techniques help filter out the noise by identifying Surge Battery's price trends.

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 Risk & Return  Correlation

Surge Battery Metals Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Surge 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 Surge Battery's current price.

Surge Battery Market Strength Events

Market strength indicators help investors to evaluate how Surge Battery pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Surge Battery shares will generate the highest return on investment. By undertsting and applying Surge Battery pink sheet market strength indicators, traders can identify Surge Battery Metals entry and exit signals to maximize returns.

Surge Battery Risk Indicators

The analysis of Surge 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 Surge Battery's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting surge pink sheet 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.

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Other Information on Investing in Surge Pink Sheet

Surge Battery financial ratios help investors to determine whether Surge Pink Sheet 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 Surge with respect to the benefits of owning Surge Battery security.