Digital Health Stock Forecast - Polynomial Regression
| DHACUDelisted Stock | USD 14.92 0.64 4.48% |
The Polynomial Regression forecasted value of Digital Health Acquisition on the next trading day is expected to be 14.42 with a mean absolute deviation of 1.02 and the sum of the absolute errors of 62.04. Digital Stock Forecast is based on your current time horizon.
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Digital Health Polynomial Regression Price Forecast For the 29th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Digital Health Acquisition on the next trading day is expected to be 14.42 with a mean absolute deviation of 1.02, mean absolute percentage error of 2.90, and the sum of the absolute errors of 62.04.Please note that although there have been many attempts to predict Digital 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 Digital Health's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Digital Health Stock Forecast Pattern
| Backtest Digital Health | Digital Health Price Prediction | Buy or Sell Advice |
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 Digital Health stock data series using in forecasting. Note that when a statistical model is used to represent Digital Health 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 | 119.1744 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.017 |
| MAPE | Mean absolute percentage error | 0.0669 |
| SAE | Sum of the absolute errors | 62.0367 |
Predictive Modules for Digital Health
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digital Health Acqui. 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 Digital Health'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.
Digital Health 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 Digital Health stock to make a market-neutral strategy. Peer analysis of Digital Health could also be used in its relative valuation, which is a method of valuing Digital Health by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Digital Health Market Strength Events
Market strength indicators help investors to evaluate how Digital Health stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Digital Health shares will generate the highest return on investment. By undertsting and applying Digital Health stock market strength indicators, traders can identify Digital Health Acquisition entry and exit signals to maximize returns.
Thematic Opportunities
Explore Investment Opportunities
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Consideration for investing in Digital Stock
If you are still planning to invest in Digital Health Acqui check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Digital Health's history and understand the potential risks before investing.
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