NICE Information Stock Forecast - 8 Period Moving Average

030190 Stock   11,860  220.00  1.89%   
The 8 Period Moving Average forecasted value of NICE Information Service on the next trading day is expected to be 11,648 with a mean absolute deviation of 305.33 and the sum of the absolute errors of 16,182. NICE Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NICE Information stock prices and determine the direction of NICE Information Service's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of NICE Information's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for NICE Information is based on an artificially constructed time series of NICE Information daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

NICE Information 8 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of NICE Information Service on the next trading day is expected to be 11,648 with a mean absolute deviation of 305.33, mean absolute percentage error of 142,833, and the sum of the absolute errors of 16,182.
Please note that although there have been many attempts to predict NICE 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 NICE Information's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NICE Information Stock Forecast Pattern

Backtest NICE InformationNICE Information Price PredictionBuy or Sell Advice 

NICE Information Forecasted Value

In the context of forecasting NICE Information'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. NICE Information's downside and upside margins for the forecasting period are 11,646 and 11,649, respectively. We have considered NICE Information'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.
Market Value
11,860
11,646
Downside
11,648
Expected Value
11,649
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of NICE Information stock data series using in forecasting. Note that when a statistical model is used to represent NICE Information 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.
AICAkaike Information Criteria115.2769
BiasArithmetic mean of the errors -140.0943
MADMean absolute deviation305.3302
MAPEMean absolute percentage error0.0278
SAESum of the absolute errors16182.5
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. NICE Information Service 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for NICE Information

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NICE Information Service. 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.
Hype
Prediction
LowEstimatedHigh
11,85811,86011,862
Details
Intrinsic
Valuation
LowRealHigh
9,5369,53813,046
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10,47411,29012,106
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as NICE Information. Your research has to be compared to or analyzed against NICE Information's peers to derive any actionable benefits. When done correctly, NICE Information's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in NICE Information Service.

Other Forecasting Options for NICE Information

For every potential investor in NICE, whether a beginner or expert, NICE Information's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NICE Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NICE. Basic forecasting techniques help filter out the noise by identifying NICE Information's price trends.

NICE Information 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 NICE Information stock to make a market-neutral strategy. Peer analysis of NICE Information could also be used in its relative valuation, which is a method of valuing NICE Information by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

NICE Information Service 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 NICE Information'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 NICE Information's current price.

NICE Information Market Strength Events

Market strength indicators help investors to evaluate how NICE Information stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NICE Information shares will generate the highest return on investment. By undertsting and applying NICE Information stock market strength indicators, traders can identify NICE Information Service entry and exit signals to maximize returns.

NICE Information Risk Indicators

The analysis of NICE Information'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 NICE Information's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nice 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.
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.

Pair Trading with NICE Information

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if NICE Information position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in NICE Information will appreciate offsetting losses from the drop in the long position's value.

Moving together with NICE Stock

  0.69203650 Dream Security coPairCorr

Moving against NICE Stock

  0.73033240 Jahwa ElectronPairCorr
  0.7302430 InnometryPairCorr
  0.66215480 Daewoo SBI SPACPairCorr
  0.5293780 AptaBio TherapeuticsPairCorr
  0.44053080 Wonbang TechPairCorr
The ability to find closely correlated positions to NICE Information could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NICE Information when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back NICE Information - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling NICE Information Service to buy it.
The correlation of NICE Information is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as NICE Information moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NICE Information Service moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for NICE Information can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in NICE Stock

NICE Information financial ratios help investors to determine whether NICE 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 NICE with respect to the benefits of owning NICE Information security.