Add Value Fund Forecast - Simple Exponential Smoothing
| AVFNV Fund | EUR 116.64 0.16 0.14% |
The Simple Exponential Smoothing forecasted value of Add Value Fund on the next trading day is expected to be 116.64 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 57.01. Add Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Add Value stock prices and determine the direction of Add Value Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Add Value's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time the relative strength index (rsi) of Add Value's share price is below 20 . This suggests that the fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Add Value hype-based prediction, you can estimate the value of Add Value Fund from the perspective of Add Value response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Add Value Fund on the next trading day is expected to be 116.64 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 57.01. Add Value after-hype prediction price | EUR 116.8 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Add |
Add Value Additional Predictive Modules
Most predictive techniques to examine Add price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Add using various technical indicators. When you analyze Add charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Add Value Simple Exponential Smoothing Price Forecast For the 17th of January 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Add Value Fund on the next trading day is expected to be 116.64 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.50, and the sum of the absolute errors of 57.01.Please note that although there have been many attempts to predict Add Fund 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 Add Value's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Add Value Fund Forecast Pattern
| Backtest Add Value | Add Value Price Prediction | Buy or Sell Advice |
Add Value Forecasted Value
In the context of forecasting Add Value's Fund 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. Add Value's downside and upside margins for the forecasting period are 115.51 and 117.77, respectively. We have considered Add Value'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Add Value fund data series using in forecasting. Note that when a statistical model is used to represent Add Value fund, 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 | 118.5192 |
| Bias | Arithmetic mean of the errors | -0.1044 |
| MAD | Mean absolute deviation | 0.9346 |
| MAPE | Mean absolute percentage error | 0.0085 |
| SAE | Sum of the absolute errors | 57.01 |
Predictive Modules for Add Value
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Add Value Fund. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 Add Value'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 Add Value
For every potential investor in Add, whether a beginner or expert, Add Value's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Add Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Add. Basic forecasting techniques help filter out the noise by identifying Add Value's price trends.Add Value 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 Add Value fund to make a market-neutral strategy. Peer analysis of Add Value could also be used in its relative valuation, which is a method of valuing Add Value by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Add Value Fund Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Add Value'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 Add Value's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Add Value Market Strength Events
Market strength indicators help investors to evaluate how Add Value fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Add Value shares will generate the highest return on investment. By undertsting and applying Add Value fund market strength indicators, traders can identify Add Value Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 116.64 | |||
| Day Typical Price | 116.64 | |||
| Price Action Indicator | (0.08) | |||
| Period Momentum Indicator | (0.16) |
Add Value Risk Indicators
The analysis of Add Value'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 Add Value's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting add fund 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 | 0.8456 | |||
| Semi Deviation | 0.9985 | |||
| Standard Deviation | 1.12 | |||
| Variance | 1.25 | |||
| Downside Variance | 1.14 | |||
| Semi Variance | 0.997 | |||
| Expected Short fall | (0.89) |
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.
Thematic Opportunities
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Other Information on Investing in Add Fund
Add Value financial ratios help investors to determine whether Add Fund 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 Add with respect to the benefits of owning Add Value security.
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