Onfolio Holdings Stock Forecast - Polynomial Regression
| ONFOW Stock | USD 0.22 0.02 10.00% |
The Polynomial Regression forecasted value of Onfolio Holdings Warrant on the next trading day is expected to be 0.25 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.56. Onfolio Stock Forecast is based on your current time horizon.
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Onfolio Holdings Polynomial Regression Price Forecast For the 26th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Onfolio Holdings Warrant on the next trading day is expected to be 0.25 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.56.Please note that although there have been many attempts to predict Onfolio 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 Onfolio Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Onfolio Holdings Stock Forecast Pattern
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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 Onfolio Holdings stock data series using in forecasting. Note that when a statistical model is used to represent Onfolio Holdings 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 | 111.2749 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0255 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 1.5581 |
Predictive Modules for Onfolio Holdings
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Onfolio Holdings Warrant. 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.Onfolio Holdings 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 Onfolio Holdings stock to make a market-neutral strategy. Peer analysis of Onfolio Holdings could also be used in its relative valuation, which is a method of valuing Onfolio Holdings by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Onfolio Holdings Market Strength Events
Market strength indicators help investors to evaluate how Onfolio Holdings stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Onfolio Holdings shares will generate the highest return on investment. By undertsting and applying Onfolio Holdings stock market strength indicators, traders can identify Onfolio Holdings Warrant entry and exit signals to maximize returns.
Onfolio Holdings Risk Indicators
The analysis of Onfolio Holdings' 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 Onfolio Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting onfolio 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 | 12.67 | |||
| Semi Deviation | 13.57 | |||
| Standard Deviation | 18.28 | |||
| Variance | 334.06 | |||
| Downside Variance | 372.26 | |||
| Semi Variance | 184.16 | |||
| Expected Short fall | (19.72) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Onfolio Stock Analysis
When running Onfolio Holdings' price analysis, check to measure Onfolio Holdings' 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 Onfolio Holdings is operating at the current time. Most of Onfolio Holdings' value examination focuses on studying past and present price action to predict the probability of Onfolio Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Onfolio Holdings' price. Additionally, you may evaluate how the addition of Onfolio Holdings to your portfolios can decrease your overall portfolio volatility.