Intech Us Mutual Fund Forecast - Simple Moving Average
| JRSTX Fund | USD 12.03 0.04 0.33% |
The Simple Moving Average forecasted value of Intech Managed Volatility on the next trading day is expected to be 12.01 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.77. Intech Mutual Fund Forecast is based on your current time horizon.
The relative strength index (RSI) of Intech Us' mutual fund price is slightly above 69. This indicates that the mutual fund is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Intech, making its price go up or down. Momentum 69
Buy Stretched
Oversold | Overbought |
Using Intech Us hype-based prediction, you can estimate the value of Intech Managed Volatility from the perspective of Intech Us response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Intech Managed Volatility on the next trading day is expected to be 12.01 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.77. Intech Us after-hype prediction price | USD 12.03 |
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.
Intech |
Intech Us Additional Predictive Modules
Most predictive techniques to examine Intech price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Intech using various technical indicators. When you analyze Intech 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 |
Intech Us Simple Moving Average Price Forecast For the 9th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Intech Managed Volatility on the next trading day is expected to be 12.01 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.03, and the sum of the absolute errors of 5.77.Please note that although there have been many attempts to predict Intech Mutual 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 Intech Us' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Intech Us Mutual Fund Forecast Pattern
| Backtest Intech Us | Intech Us Price Prediction | Buy or Sell Advice |
Intech Us Forecasted Value
In the context of forecasting Intech Us' Mutual 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. Intech Us' downside and upside margins for the forecasting period are 10.52 and 13.50, respectively. We have considered Intech Us' 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 Intech Us mutual fund data series using in forecasting. Note that when a statistical model is used to represent Intech Us mutual 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 | 111.0678 |
| Bias | Arithmetic mean of the errors | -0.041 |
| MAD | Mean absolute deviation | 0.0978 |
| MAPE | Mean absolute percentage error | 0.0087 |
| SAE | Sum of the absolute errors | 5.77 |
Predictive Modules for Intech Us
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intech Managed Volatility. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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 Intech Us' 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 Intech Us
For every potential investor in Intech, whether a beginner or expert, Intech Us' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Intech Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Intech. Basic forecasting techniques help filter out the noise by identifying Intech Us' price trends.Intech Us 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 Intech Us mutual fund to make a market-neutral strategy. Peer analysis of Intech Us could also be used in its relative valuation, which is a method of valuing Intech Us by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Intech Managed Volatility Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Intech Us' 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 Intech Us' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Intech Us Market Strength Events
Market strength indicators help investors to evaluate how Intech Us mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Intech Us shares will generate the highest return on investment. By undertsting and applying Intech Us mutual fund market strength indicators, traders can identify Intech Managed Volatility entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 12.03 | |||
| Day Typical Price | 12.03 | |||
| Price Action Indicator | 0.02 | |||
| Period Momentum Indicator | 0.04 | |||
| Relative Strength Index | 69.27 |
Intech Us Risk Indicators
The analysis of Intech Us' 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 Intech Us' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting intech mutual 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 | 0.6928 | |||
| Semi Deviation | 0.3129 | |||
| Standard Deviation | 1.49 | |||
| Variance | 2.23 | |||
| Downside Variance | 0.5725 | |||
| Semi Variance | 0.0979 | |||
| Expected Short fall | (0.86) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Intech Mutual Fund
Intech Us financial ratios help investors to determine whether Intech Mutual 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 Intech with respect to the benefits of owning Intech Us security.
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Commodity Directory Find actively traded commodities issued by global exchanges |