Greenway Technologies OTC Stock Forecast - Polynomial Regression
| GWTI Stock | USD 0.01 0.00 0.00% |
The Polynomial Regression forecasted value of Greenway Technologies on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.11. Greenway OTC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Greenway Technologies stock prices and determine the direction of Greenway Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Greenway Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Greenway Technologies to cross-verify your projections. Greenway |
Most investors in Greenway Technologies 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 Greenway Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Greenway Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
Greenway Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Greenway Technologies as well as the accuracy indicators are determined from the period prices. Greenway Technologies Polynomial Regression Price Forecast For the 26th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Greenway Technologies on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000617, and the sum of the absolute errors of 0.11.Please note that although there have been many attempts to predict Greenway 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 Greenway Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Greenway Technologies OTC Stock Forecast Pattern
| Backtest Greenway Technologies | Greenway Technologies Price Prediction | Buy or Sell Advice |
Greenway Technologies Forecasted Value
In the context of forecasting Greenway Technologies' 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. Greenway Technologies' downside and upside margins for the forecasting period are 0.0001 and 15.57, respectively. We have considered Greenway Technologies' 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 Greenway Technologies otc stock data series using in forecasting. Note that when a statistical model is used to represent Greenway Technologies 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 | 106.1143 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0018 |
| MAPE | Mean absolute percentage error | 0.1452 |
| SAE | Sum of the absolute errors | 0.108 |
Predictive Modules for Greenway Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Greenway Technologies. 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 Greenway Technologies' 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 Greenway Technologies
For every potential investor in Greenway, whether a beginner or expert, Greenway Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Greenway OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Greenway. Basic forecasting techniques help filter out the noise by identifying Greenway Technologies' price trends.Greenway Technologies 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 Greenway Technologies otc stock to make a market-neutral strategy. Peer analysis of Greenway Technologies could also be used in its relative valuation, which is a method of valuing Greenway Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Greenway Technologies 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 Greenway Technologies' 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 Greenway Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Greenway Technologies Market Strength Events
Market strength indicators help investors to evaluate how Greenway Technologies 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 Greenway Technologies shares will generate the highest return on investment. By undertsting and applying Greenway Technologies otc stock market strength indicators, traders can identify Greenway Technologies entry and exit signals to maximize returns.
Greenway Technologies Risk Indicators
The analysis of Greenway Technologies' 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 Greenway Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting greenway 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 | 3.17 | |||
| Standard Deviation | 15.55 | |||
| Variance | 241.94 |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Greenway Technologies to cross-verify your projections. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Greenway OTC Stock analysis
When running Greenway Technologies' price analysis, check to measure Greenway Technologies' 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 Greenway Technologies is operating at the current time. Most of Greenway Technologies' value examination focuses on studying past and present price action to predict the probability of Greenway Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greenway Technologies' price. Additionally, you may evaluate how the addition of Greenway Technologies to your portfolios can decrease your overall portfolio volatility.
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