St-Georges Eco-Mining OTC Stock Forecast - Polynomial Regression
SXOOF Stock | USD 0.06 0 3.77% |
The Polynomial Regression forecasted value of St Georges Eco Mining Corp on the next trading day is expected to be 0.05 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.27. St-Georges OTC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast St-Georges Eco-Mining stock prices and determine the direction of St Georges Eco Mining Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of St-Georges Eco-Mining's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of St-Georges Eco-Mining to cross-verify your projections. St-Georges |
Most investors in St-Georges Eco-Mining cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the St-Georges Eco-Mining's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets St-Georges Eco-Mining's price structures and extracts relationships that further increase the generated results' accuracy.
St-Georges Eco-Mining polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for St Georges Eco Mining Corp as well as the accuracy indicators are determined from the period prices. St-Georges Eco-Mining Polynomial Regression Price Forecast For the 24th of April
Given 90 days horizon, the Polynomial Regression forecasted value of St Georges Eco Mining Corp on the next trading day is expected to be 0.05 with a mean absolute deviation of 0, mean absolute percentage error of 0.000029, and the sum of the absolute errors of 0.27.Please note that although there have been many attempts to predict St-Georges 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 St-Georges Eco-Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
St-Georges Eco-Mining OTC Stock Forecast Pattern
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St-Georges Eco-Mining Forecasted Value
In the context of forecasting St-Georges Eco-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. St-Georges Eco-Mining's downside and upside margins for the forecasting period are 0.0006 and 7.21, respectively. We have considered St-Georges Eco-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.
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 St-Georges Eco-Mining otc stock data series using in forecasting. Note that when a statistical model is used to represent St-Georges Eco-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.AIC | Akaike Information Criteria | 107.6584 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.0044 |
MAPE | Mean absolute percentage error | 0.0726 |
SAE | Sum of the absolute errors | 0.27 |
Predictive Modules for St-Georges Eco-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 St-Georges Eco-Mining. 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 St-Georges Eco-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.
Other Forecasting Options for St-Georges Eco-Mining
For every potential investor in St-Georges, whether a beginner or expert, St-Georges Eco-Mining's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. St-Georges OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in St-Georges. Basic forecasting techniques help filter out the noise by identifying St-Georges Eco-Mining's price trends.St-Georges Eco-Mining 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 St-Georges Eco-Mining otc stock to make a market-neutral strategy. Peer analysis of St-Georges Eco-Mining could also be used in its relative valuation, which is a method of valuing St-Georges Eco-Mining by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
St-Georges Eco-Mining 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 St-Georges Eco-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 St-Georges Eco-Mining's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
St-Georges Eco-Mining Market Strength Events
Market strength indicators help investors to evaluate how St-Georges Eco-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 St-Georges Eco-Mining shares will generate the highest return on investment. By undertsting and applying St-Georges Eco-Mining otc stock market strength indicators, traders can identify St Georges Eco Mining Corp entry and exit signals to maximize returns.
Accumulation Distribution | 0.0614 | |||
Daily Balance Of Power | 0.5556 | |||
Rate Of Daily Change | 1.04 | |||
Day Median Price | 0.0568 | |||
Day Typical Price | 0.0562 | |||
Market Facilitation Index | 0.0036 | |||
Price Action Indicator | (0.0008) | |||
Period Momentum Indicator | 0.002 |
St-Georges Eco-Mining Risk Indicators
The analysis of St-Georges Eco-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 St-Georges Eco-Mining's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting st-georges 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.
Mean Deviation | 4.88 | |||
Semi Deviation | 5.6 | |||
Standard Deviation | 6.98 | |||
Variance | 48.7 | |||
Downside Variance | 41.98 | |||
Semi Variance | 31.41 | |||
Expected Short fall | (6.52) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards St-Georges Eco-Mining in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, St-Georges Eco-Mining's short interest history, or implied volatility extrapolated from St-Georges Eco-Mining options trading.
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Check out Historical Fundamental Analysis of St-Georges Eco-Mining to cross-verify your projections. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Complementary Tools for St-Georges OTC Stock analysis
When running St-Georges Eco-Mining's price analysis, check to measure St-Georges Eco-Mining's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy St-Georges Eco-Mining is operating at the current time. Most of St-Georges Eco-Mining's value examination focuses on studying past and present price action to predict the probability of St-Georges Eco-Mining's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move St-Georges Eco-Mining's price. Additionally, you may evaluate how the addition of St-Georges Eco-Mining to your portfolios can decrease your overall portfolio volatility.
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