The 4 Period Moving Average forecasted value of Khiron Life Sciences on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000965 and the sum of the absolute errors of 0.0006. Khiron Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Khiron Life's historical fundamentals, such as revenue growth or operating cash flow patterns.
Khiron
A four-period moving average forecast model for Khiron Life Sciences is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.
Khiron Life 4 Period Moving Average Price Forecast For the 25th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of Khiron Life Sciences on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000965, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0006.
Please note that although there have been many attempts to predict Khiron 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 Khiron Life's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting Khiron Life'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. Khiron Life's downside and upside margins for the forecasting period are 0.000001 and 175.45, respectively. We have considered Khiron Life'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.
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Khiron Life pink sheet data series using in forecasting. Note that when a statistical model is used to represent Khiron Life 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
89.5831
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0
MAPE
Mean absolute percentage error
9.223372036854776E14
SAE
Sum of the absolute errors
6.0E-4
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Khiron Life. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Khiron Life Sciences and therefore, it cannot be a useful forecasting tool for medium or long range price predictions
Predictive Modules for Khiron Life
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Khiron Life Sciences. 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.
For every potential investor in Khiron, whether a beginner or expert, Khiron Life's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Khiron Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Khiron. Basic forecasting techniques help filter out the noise by identifying Khiron Life's price trends.
Khiron Life Sciences 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 Khiron Life'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 Khiron Life's current price.
Market strength indicators help investors to evaluate how Khiron Life 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 Khiron Life shares will generate the highest return on investment. By undertsting and applying Khiron Life pink sheet market strength indicators, traders can identify Khiron Life Sciences entry and exit signals to maximize returns.
Other Information on Investing in Khiron Pink Sheet
Khiron Life financial ratios help investors to determine whether Khiron Pink Sheet 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 Khiron with respect to the benefits of owning Khiron Life security.