VN Small Index Forecast - Simple Moving Average
| VNISC Index | 1,461 5.61 0.38% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using VN Small hype-based prediction, you can estimate the value of VN Small Cap from the perspective of VN Small response to recently generated media hype and the effects of current headlines on its competitors.
VN Small after-hype prediction price | VND 1463.06 |
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 index price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in unemployment. VN Small Additional Predictive Modules
Most predictive techniques to examine VNISC price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for VNISC using various technical indicators. When you analyze VNISC 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 |
VN Small Simple Moving Average Price Forecast For the 14th of January 2026
Given 90 days horizon, the Simple Moving Average forecasted value of VN Small Cap on the next trading day is expected to be 1,461 with a mean absolute deviation of 11.19, mean absolute percentage error of 255.25, and the sum of the absolute errors of 660.24.Please note that although there have been many attempts to predict VNISC Index 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 VN Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
VN Small Index Forecast Pattern
VN Small Forecasted Value
In the context of forecasting VN Small's Index 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. VN Small's downside and upside margins for the forecasting period are 1,461 and 1,462, respectively. We have considered VN Small'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of VN Small index data series using in forecasting. Note that when a statistical model is used to represent VN Small index, 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 | 119.977 |
| Bias | Arithmetic mean of the errors | 2.5831 |
| MAD | Mean absolute deviation | 11.1904 |
| MAPE | Mean absolute percentage error | 0.0074 |
| SAE | Sum of the absolute errors | 660.235 |
Predictive Modules for VN Small
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VN Small Cap. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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 VN Small'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 VN Small
For every potential investor in VNISC, whether a beginner or expert, VN Small's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. VNISC Index price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in VNISC. Basic forecasting techniques help filter out the noise by identifying VN Small's price trends.VN Small 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 VN Small index to make a market-neutral strategy. Peer analysis of VN Small could also be used in its relative valuation, which is a method of valuing VN Small by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
VN Small Cap Technical and Predictive Analytics
The index market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of VN Small'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 VN Small's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
VN Small Market Strength Events
Market strength indicators help investors to evaluate how VN Small index reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading VN Small shares will generate the highest return on investment. By undertsting and applying VN Small index market strength indicators, traders can identify VN Small Cap entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0074 | |||
| Daily Balance Of Power | (0.51) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1464.48 | |||
| Day Typical Price | 1463.47 | |||
| Market Facilitation Index | 10.92 | |||
| Price Action Indicator | (5.83) | |||
| Period Momentum Indicator | (5.61) |
VN Small Risk Indicators
The analysis of VN Small'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 VN Small's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vnisc index 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 | 0.5812 | |||
| Standard Deviation | 0.9055 | |||
| Variance | 0.82 |
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.