Ivy Science Mutual Fund Forecast - Simple Regression

ISTIX Fund  USD 89.38  0.40  0.45%   
The Simple Regression forecasted value of Ivy Science And on the next trading day is expected to be 90.25 with a mean absolute deviation of 2.62 and the sum of the absolute errors of 162.71. Ivy Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Ivy Science's share price is below 20 . This usually indicates that the mutual 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
The successful prediction of Ivy Science's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Ivy Science And, which may create opportunities for some arbitrage if properly timed.
Using Ivy Science hype-based prediction, you can estimate the value of Ivy Science And from the perspective of Ivy Science response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Ivy Science And on the next trading day is expected to be 90.25 with a mean absolute deviation of 2.62 and the sum of the absolute errors of 162.71.

Ivy Science after-hype prediction price

    
  USD 64.45  
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.
  
Check out Historical Fundamental Analysis of Ivy Science to cross-verify your projections.

Ivy Science Additional Predictive Modules

Most predictive techniques to examine Ivy price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ivy using various technical indicators. When you analyze Ivy 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Ivy Science price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Ivy Science Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Ivy Science And on the next trading day is expected to be 90.25 with a mean absolute deviation of 2.62, mean absolute percentage error of 12.31, and the sum of the absolute errors of 162.71.
Please note that although there have been many attempts to predict Ivy 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 Ivy Science's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ivy Science Mutual Fund Forecast Pattern

Backtest Ivy ScienceIvy Science Price PredictionBuy or Sell Advice 

Ivy Science Forecasted Value

In the context of forecasting Ivy Science's 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. Ivy Science's downside and upside margins for the forecasting period are 87.83 and 92.68, respectively. We have considered Ivy Science'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
89.38
90.25
Expected Value
92.68
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Ivy Science mutual fund data series using in forecasting. Note that when a statistical model is used to represent Ivy Science 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.
AICAkaike Information Criteria122.4586
BiasArithmetic mean of the errors None
MADMean absolute deviation2.6244
MAPEMean absolute percentage error0.0344
SAESum of the absolute errors162.7126
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Ivy Science And historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Ivy Science

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ivy Science And. 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.
Hype
Prediction
LowEstimatedHigh
62.0264.4598.32
Details
Intrinsic
Valuation
LowRealHigh
73.9976.4298.32
Details
Bollinger
Band Projection (param)
LowMiddleHigh
78.7085.1291.54
Details

Ivy Science After-Hype Price Prediction Density Analysis

As far as predicting the price of Ivy Science at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Ivy Science or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Ivy Science, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Ivy Science Estimiated After-Hype Price Volatility

In the context of predicting Ivy Science's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ivy Science's historical news coverage. Ivy Science's after-hype downside and upside margins for the prediction period are 62.02 and 98.32, respectively. We have considered Ivy Science's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
89.38
64.45
After-hype Price
98.32
Upside
Ivy Science is very steady at this time. Analysis and calculation of next after-hype price of Ivy Science And is based on 3 months time horizon.

Ivy Science Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Ivy Science is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ivy Science backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Ivy Science, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.31 
2.43
  24.93 
  1.38 
4 Events / Month
1 Events / Month
In about 4 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
89.38
64.45
27.89 
3.02  
Notes

Ivy Science Hype Timeline

Ivy Science And is currently traded for 89.38. The entity has historical hype elasticity of -24.93, and average elasticity to hype of competition of -1.38. Ivy is forecasted to decline in value after the next headline, with the price expected to drop to 64.45. The average volatility of media hype impact on the company price is about 3.02%. The price reduction on the next news is expected to be -27.89%, whereas the daily expected return is currently at 0.31%. The volatility of related hype on Ivy Science is about 54.45%, with the expected price after the next announcement by competition of 88.00. The company last dividend was issued on the 12th of December 1970. Assuming the 90 days horizon the next forecasted press release will be in about 4 days.
Check out Historical Fundamental Analysis of Ivy Science to cross-verify your projections.

Ivy Science Related Hype Analysis

Having access to credible news sources related to Ivy Science's direct competition is more important than ever and may enhance your ability to predict Ivy Science's future price movements. Getting to know how Ivy Science's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Ivy Science may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Ivy Science

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

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

Ivy Science Market Strength Events

Market strength indicators help investors to evaluate how Ivy Science 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 Ivy Science shares will generate the highest return on investment. By undertsting and applying Ivy Science mutual fund market strength indicators, traders can identify Ivy Science And entry and exit signals to maximize returns.

Ivy Science Risk Indicators

The analysis of Ivy Science'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 Ivy Science's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ivy 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.
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.

Story Coverage note for Ivy Science

The number of cover stories for Ivy Science depends on current market conditions and Ivy Science's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ivy Science is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Ivy Science's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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Other Information on Investing in Ivy Mutual Fund

Ivy Science financial ratios help investors to determine whether Ivy 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 Ivy with respect to the benefits of owning Ivy Science security.
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