BTQ Technologies OTC Stock Forecast - Triple Exponential Smoothing
| BTQQF Stock | 2.06 0.06 3.00% |
BTQ |
BTQ Technologies Triple Exponential Smoothing Price Forecast For the 24th of December
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of BTQ Technologies Corp on the next trading day is expected to be 2.07 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.07, and the sum of the absolute errors of 6.49.Please note that although there have been many attempts to predict BTQ 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 BTQ Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
BTQ Technologies OTC Stock Forecast Pattern
BTQ Technologies Forecasted Value
In the context of forecasting BTQ Technologies' 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. BTQ Technologies' downside and upside margins for the forecasting period are 0.02 and 24.49, respectively. We have considered BTQ Technologies' 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of BTQ Technologies otc stock data series using in forecasting. Note that when a statistical model is used to represent BTQ Technologies 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0212 |
| MAD | Mean absolute deviation | 0.11 |
| MAPE | Mean absolute percentage error | 0.0999 |
| SAE | Sum of the absolute errors | 6.49 |
Predictive Modules for BTQ Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BTQ Technologies Corp. 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 BTQ Technologies
For every potential investor in BTQ, whether a beginner or expert, BTQ Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BTQ OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BTQ. Basic forecasting techniques help filter out the noise by identifying BTQ Technologies' price trends.BTQ Technologies 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 BTQ Technologies otc stock to make a market-neutral strategy. Peer analysis of BTQ Technologies could also be used in its relative valuation, which is a method of valuing BTQ Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BTQ Technologies Corp 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 BTQ Technologies' 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 BTQ Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
BTQ Technologies Market Strength Events
Market strength indicators help investors to evaluate how BTQ Technologies 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 BTQ Technologies shares will generate the highest return on investment. By undertsting and applying BTQ Technologies otc stock market strength indicators, traders can identify BTQ Technologies Corp entry and exit signals to maximize returns.
BTQ Technologies Risk Indicators
The analysis of BTQ Technologies' 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 BTQ Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting btq 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 | 12.35 | |||
| Semi Deviation | 7.06 | |||
| Standard Deviation | 22.34 | |||
| Variance | 499.13 | |||
| Downside Variance | 127.2 | |||
| Semi Variance | 49.79 | |||
| Expected Short fall | (22.50) |
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.