Eco Growth Pink Sheet Forecast - Polynomial Regression
| ECGS Stock | USD 0.15 0.02 15.38% |
The Polynomial Regression forecasted value of Eco Growth Strategies on the next trading day is expected to be 0.12 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.14. Eco Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Eco Growth stock prices and determine the direction of Eco Growth Strategies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Eco Growth's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Eco Growth to cross-verify your projections. Eco |
Most investors in Eco Growth 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 Eco Growth's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Eco Growth's price structures and extracts relationships that further increase the generated results' accuracy.
Eco Growth polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Eco Growth Strategies as well as the accuracy indicators are determined from the period prices. Eco Growth Polynomial Regression Price Forecast For the 20th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Eco Growth Strategies on the next trading day is expected to be 0.12 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 1.14.Please note that although there have been many attempts to predict Eco 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 Eco Growth's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Eco Growth Pink Sheet Forecast Pattern
| Backtest Eco Growth | Eco Growth Price Prediction | Buy or Sell Advice |
Eco Growth Forecasted Value
In the context of forecasting Eco Growth'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. Eco Growth's downside and upside margins for the forecasting period are 0 and 13.55, respectively. We have considered Eco Growth'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 Eco Growth pink sheet data series using in forecasting. Note that when a statistical model is used to represent Eco Growth 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.| AIC | Akaike Information Criteria | 110.4813 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0187 |
| MAPE | Mean absolute percentage error | 0.1322 |
| SAE | Sum of the absolute errors | 1.1382 |
Predictive Modules for Eco Growth
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eco Growth Strategies. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Eco Growth'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 Eco Growth
For every potential investor in Eco, whether a beginner or expert, Eco Growth's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eco Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eco. Basic forecasting techniques help filter out the noise by identifying Eco Growth's price trends.Eco Growth 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 Eco Growth pink sheet to make a market-neutral strategy. Peer analysis of Eco Growth could also be used in its relative valuation, which is a method of valuing Eco Growth by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Eco Growth Strategies 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 Eco Growth'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 Eco Growth's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Eco Growth Market Strength Events
Market strength indicators help investors to evaluate how Eco Growth 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 Eco Growth shares will generate the highest return on investment. By undertsting and applying Eco Growth pink sheet market strength indicators, traders can identify Eco Growth Strategies entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.15 | |||
| Day Median Price | 0.15 | |||
| Day Typical Price | 0.15 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.02 |
Eco Growth Risk Indicators
The analysis of Eco Growth'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 Eco Growth's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eco 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.
| Mean Deviation | 6.91 | |||
| Semi Deviation | 7.93 | |||
| Standard Deviation | 13.19 | |||
| Variance | 174.07 | |||
| Downside Variance | 223.84 | |||
| Semi Variance | 62.86 | |||
| Expected Short fall | (19.49) |
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 Eco Growth 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, Eco Growth's short interest history, or implied volatility extrapolated from Eco Growth options trading.
Pair Trading with Eco Growth
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Eco Growth position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Eco Growth will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Eco Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Eco Growth when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Eco Growth - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Eco Growth Strategies to buy it.
The correlation of Eco Growth is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Eco Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Eco Growth Strategies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Eco Growth can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Eco Growth to cross-verify your projections. Note that the Eco Growth Strategies information on this page should be used as a complementary analysis to other Eco Growth's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Complementary Tools for Eco Pink Sheet analysis
When running Eco Growth's price analysis, check to measure Eco Growth'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 Eco Growth is operating at the current time. Most of Eco Growth's value examination focuses on studying past and present price action to predict the probability of Eco Growth's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eco Growth's price. Additionally, you may evaluate how the addition of Eco Growth to your portfolios can decrease your overall portfolio volatility.
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |