Sayona Mining OTC Stock Forecast - Polynomial Regression

SYAXF Stock  USD 0.02  0  13.04%   
The Polynomial Regression forecasted value of Sayona Mining Limited on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.09. Sayona OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sayona Mining's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Sayona Mining polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sayona Mining Limited as well as the accuracy indicators are determined from the period prices.

Sayona Mining Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Sayona Mining Limited on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000314, and the sum of the absolute errors of 0.09.
Please note that although there have been many attempts to predict Sayona 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 Sayona Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sayona Mining OTC Stock Forecast Pattern

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Sayona Mining Forecasted Value

In the context of forecasting Sayona Mining'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. Sayona Mining's downside and upside margins for the forecasting period are 0.0002 and 8.08, respectively. We have considered Sayona Mining'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
0.02
0.0002
Downside
0.02
Expected Value
8.08
Upside

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 Sayona Mining otc stock data series using in forecasting. Note that when a statistical model is used to represent Sayona Mining 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 Criteria105.4389
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0015
MAPEMean absolute percentage error0.0704
SAESum of the absolute errors0.0905
A single variable polynomial regression model attempts to put a curve through the Sayona Mining 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

Predictive Modules for Sayona Mining

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sayona Mining Limited. 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 Sayona Mining'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
0.000.008.06
Details
Intrinsic
Valuation
LowRealHigh
0.000.008.06
Details

Other Forecasting Options for Sayona Mining

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

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 Risk & Return  Correlation

Sayona Mining Limited 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 Sayona Mining'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 Sayona Mining's current price.

Sayona Mining Market Strength Events

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

Sayona Mining Risk Indicators

The analysis of Sayona Mining'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 Sayona Mining's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sayona 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.

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Other Information on Investing in Sayona OTC Stock

Sayona Mining financial ratios help investors to determine whether Sayona 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 Sayona with respect to the benefits of owning Sayona Mining security.