Eugene Stock Forecast - Polynomial Regression
| 023410 Stock | KRW 3,510 15.00 0.43% |
The Polynomial Regression forecasted value of Eugene on the next trading day is expected to be 3,412 with a mean absolute deviation of 59.46 and the sum of the absolute errors of 3,627. Eugene Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Eugene stock prices and determine the direction of Eugene's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Eugene's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Eugene to cross-verify your projections. Eugene |
Most investors in Eugene 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 Eugene's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Eugene's price structures and extracts relationships that further increase the generated results' accuracy.
Eugene polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Eugene as well as the accuracy indicators are determined from the period prices. Eugene Polynomial Regression Price Forecast For the 29th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Eugene on the next trading day is expected to be 3,412 with a mean absolute deviation of 59.46, mean absolute percentage error of 5,296, and the sum of the absolute errors of 3,627.Please note that although there have been many attempts to predict Eugene 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 Eugene's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Eugene Stock Forecast Pattern
| Backtest Eugene | Eugene Price Prediction | Buy or Sell Advice |
Eugene Forecasted Value
In the context of forecasting Eugene's 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. Eugene's downside and upside margins for the forecasting period are 3,410 and 3,413, respectively. We have considered Eugene'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 Eugene stock data series using in forecasting. Note that when a statistical model is used to represent Eugene 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 | 126.6853 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 59.462 |
| MAPE | Mean absolute percentage error | 0.0162 |
| SAE | Sum of the absolute errors | 3627.1796 |
Predictive Modules for Eugene
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eugene. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 Eugene'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 Eugene
For every potential investor in Eugene, whether a beginner or expert, Eugene's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eugene Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eugene. Basic forecasting techniques help filter out the noise by identifying Eugene's price trends.Eugene 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 Eugene stock to make a market-neutral strategy. Peer analysis of Eugene could also be used in its relative valuation, which is a method of valuing Eugene by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Eugene Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Eugene'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 Eugene's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Eugene Market Strength Events
Market strength indicators help investors to evaluate how Eugene stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Eugene shares will generate the highest return on investment. By undertsting and applying Eugene stock market strength indicators, traders can identify Eugene entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0113 | |||
| Daily Balance Of Power | (0.38) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 3505.0 | |||
| Day Typical Price | 3506.67 | |||
| Market Facilitation Index | 40.0 | |||
| Price Action Indicator | (2.50) | |||
| Period Momentum Indicator | (15.00) |
Eugene Risk Indicators
The analysis of Eugene'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 Eugene's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eugene 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 | 1.21 | |||
| Semi Deviation | 1.23 | |||
| Standard Deviation | 1.71 | |||
| Variance | 2.93 | |||
| Downside Variance | 1.89 | |||
| Semi Variance | 1.5 | |||
| Expected Short fall | (1.63) |
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 Eugene 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, Eugene's short interest history, or implied volatility extrapolated from Eugene options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Historical Fundamental Analysis of Eugene to cross-verify your projections. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Complementary Tools for Eugene Stock analysis
When running Eugene's price analysis, check to measure Eugene'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 Eugene is operating at the current time. Most of Eugene's value examination focuses on studying past and present price action to predict the probability of Eugene's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eugene's price. Additionally, you may evaluate how the addition of Eugene to your portfolios can decrease your overall portfolio volatility.
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. |