Grayscale Chainlink OTC Stock Forecast - Polynomial Regression
| GLNK Stock | USD 129.98 20.02 13.35% |
The Polynomial Regression forecasted value of Grayscale Chainlink Trust on the next trading day is expected to be 145.63 with a mean absolute deviation of 6.75 and the sum of the absolute errors of 411.88. Grayscale OTC Stock Forecast is based on your current time horizon.
Grayscale |
Grayscale Chainlink Polynomial Regression Price Forecast For the 19th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Grayscale Chainlink Trust on the next trading day is expected to be 145.63 with a mean absolute deviation of 6.75, mean absolute percentage error of 76.36, and the sum of the absolute errors of 411.88.Please note that although there have been many attempts to predict Grayscale 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 Grayscale Chainlink's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Grayscale Chainlink OTC Stock Forecast Pattern
Grayscale Chainlink Forecasted Value
In the context of forecasting Grayscale Chainlink'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. Grayscale Chainlink's downside and upside margins for the forecasting period are 133.56 and 157.70, respectively. We have considered Grayscale Chainlink'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 Grayscale Chainlink otc stock data series using in forecasting. Note that when a statistical model is used to represent Grayscale Chainlink 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 | 122.4459 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 6.7522 |
| MAPE | Mean absolute percentage error | 0.1096 |
| SAE | Sum of the absolute errors | 411.882 |
Predictive Modules for Grayscale Chainlink
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Grayscale Chainlink Trust. 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.Other Forecasting Options for Grayscale Chainlink
For every potential investor in Grayscale, whether a beginner or expert, Grayscale Chainlink's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Grayscale OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Grayscale. Basic forecasting techniques help filter out the noise by identifying Grayscale Chainlink's price trends.Grayscale Chainlink 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 Grayscale Chainlink otc stock to make a market-neutral strategy. Peer analysis of Grayscale Chainlink could also be used in its relative valuation, which is a method of valuing Grayscale Chainlink by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Grayscale Chainlink Trust 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 Grayscale Chainlink'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 Grayscale Chainlink's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Grayscale Chainlink Market Strength Events
Market strength indicators help investors to evaluate how Grayscale Chainlink 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 Grayscale Chainlink shares will generate the highest return on investment. By undertsting and applying Grayscale Chainlink otc stock market strength indicators, traders can identify Grayscale Chainlink Trust entry and exit signals to maximize returns.
Grayscale Chainlink Risk Indicators
The analysis of Grayscale Chainlink'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 Grayscale Chainlink's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting grayscale 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 | 9.13 | |||
| Semi Deviation | 7.93 | |||
| Standard Deviation | 12.07 | |||
| Variance | 145.68 | |||
| Downside Variance | 83.16 | |||
| Semi Variance | 62.95 | |||
| Expected Short fall | (11.73) |
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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Grayscale Chainlink financial ratios help investors to determine whether Grayscale 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 Grayscale with respect to the benefits of owning Grayscale Chainlink security.