FNSTech Stock Forecast - Double Exponential Smoothing
| 083500 Stock | 13,050 190.00 1.44% |
The Double Exponential Smoothing forecasted value of FNSTech Co on the next trading day is expected to be 13,196 with a mean absolute deviation of 397.86 and the sum of the absolute errors of 23,474. FNSTech Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast FNSTech stock prices and determine the direction of FNSTech Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of FNSTech's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out fundamental analysis of FNSTech to check your projections. FNSTech |
Most investors in FNSTech cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the FNSTech's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets FNSTech's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for FNSTech works best with periods where there are trends or seasonality. FNSTech Double Exponential Smoothing Price Forecast For the 8th of June
Given 90 days horizon, the Double Exponential Smoothing forecasted value of FNSTech Co on the next trading day is expected to be 13,196 with a mean absolute deviation of 397.86, mean absolute percentage error of 330,292, and the sum of the absolute errors of 23,474.Please note that although there have been many attempts to predict FNSTech 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 FNSTech's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FNSTech Stock Forecast Pattern
FNSTech Forecasted Value
In the context of forecasting FNSTech's 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. FNSTech's downside and upside margins for the forecasting period are 13,192 and 13,200, respectively. We have considered FNSTech'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of FNSTech stock data series using in forecasting. Note that when a statistical model is used to represent FNSTech 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 | -98.2918 |
| MAD | Mean absolute deviation | 397.8586 |
| MAPE | Mean absolute percentage error | 0.0319 |
| SAE | Sum of the absolute errors | 23473.6579 |
Predictive Modules for FNSTech
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FNSTech. 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 FNSTech'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.
Other Forecasting Options for FNSTech
For every potential investor in FNSTech, whether a beginner or expert, FNSTech's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FNSTech Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FNSTech. Basic forecasting techniques help filter out the noise by identifying FNSTech's price trends.FNSTech 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 FNSTech stock to make a market-neutral strategy. Peer analysis of FNSTech could also be used in its relative valuation, which is a method of valuing FNSTech by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FNSTech Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of FNSTech'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 FNSTech's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FNSTech Market Strength Events
Market strength indicators help investors to evaluate how FNSTech stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FNSTech shares will generate the highest return on investment. By undertsting and applying FNSTech stock market strength indicators, traders can identify FNSTech Co entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0641 | |||
| Daily Balance Of Power | (0.22) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 13145.0 | |||
| Day Typical Price | 13113.33 | |||
| Market Facilitation Index | 870.0 | |||
| Price Action Indicator | (190.00) | |||
| Period Momentum Indicator | (190.00) |
FNSTech Risk Indicators
The analysis of FNSTech's 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 FNSTech's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fnstech 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 | 2.86 | |||
| Semi Deviation | 3.57 | |||
| Standard Deviation | 4.14 | |||
| Variance | 17.18 | |||
| Downside Variance | 16.07 | |||
| Semi Variance | 12.76 | |||
| Expected Short fall | (3.59) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in FNSTech Stock
FNSTech financial ratios help investors to determine whether FNSTech 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 FNSTech with respect to the benefits of owning FNSTech security.