Bioharvest Sciences OTC Stock Forecast - Polynomial Regression
| CNVCF Stock | USD 6.15 0.03 0.49% |
The Polynomial Regression forecasted value of Bioharvest Sciences on the next trading day is expected to be 6.93 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.47. Bioharvest OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Bioharvest Sciences' historical fundamentals, such as revenue growth or operating cash flow patterns.
Bioharvest |
Bioharvest Sciences Polynomial Regression Price Forecast For the 2nd of December
Given 90 days horizon, the Polynomial Regression forecasted value of Bioharvest Sciences on the next trading day is expected to be 6.93 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.09, and the sum of the absolute errors of 14.47.Please note that although there have been many attempts to predict Bioharvest 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 Bioharvest Sciences' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Bioharvest Sciences OTC Stock Forecast Pattern
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Bioharvest Sciences Forecasted Value
In the context of forecasting Bioharvest Sciences' 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. Bioharvest Sciences' downside and upside margins for the forecasting period are 3.31 and 10.54, respectively. We have considered Bioharvest Sciences' 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 Bioharvest Sciences otc stock data series using in forecasting. Note that when a statistical model is used to represent Bioharvest Sciences 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 | 115.7366 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2371 |
| MAPE | Mean absolute percentage error | 0.0433 |
| SAE | Sum of the absolute errors | 14.4656 |
Predictive Modules for Bioharvest Sciences
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bioharvest Sciences. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bioharvest Sciences' 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 Bioharvest Sciences
For every potential investor in Bioharvest, whether a beginner or expert, Bioharvest Sciences' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bioharvest OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bioharvest. Basic forecasting techniques help filter out the noise by identifying Bioharvest Sciences' price trends.Bioharvest Sciences 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 Bioharvest Sciences otc stock to make a market-neutral strategy. Peer analysis of Bioharvest Sciences could also be used in its relative valuation, which is a method of valuing Bioharvest Sciences by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bioharvest Sciences 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 Bioharvest Sciences' 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 Bioharvest Sciences' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Bioharvest Sciences Market Strength Events
Market strength indicators help investors to evaluate how Bioharvest Sciences 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 Bioharvest Sciences shares will generate the highest return on investment. By undertsting and applying Bioharvest Sciences otc stock market strength indicators, traders can identify Bioharvest Sciences entry and exit signals to maximize returns.
Bioharvest Sciences Risk Indicators
The analysis of Bioharvest Sciences' 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 Bioharvest Sciences' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bioharvest 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 | 2.11 | |||
| Semi Deviation | 2.9 | |||
| Standard Deviation | 3.58 | |||
| Variance | 12.79 | |||
| Downside Variance | 12.83 | |||
| Semi Variance | 8.42 | |||
| Expected Short fall | (2.56) |
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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Other Information on Investing in Bioharvest OTC Stock
Bioharvest Sciences financial ratios help investors to determine whether Bioharvest 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 Bioharvest with respect to the benefits of owning Bioharvest Sciences security.