Api Growth Mutual Fund Forecast - Polynomial Regression

APGRX Fund  USD 22.03  0.24  1.08%   
The Polynomial Regression forecasted value of Api Growth Fund on the next trading day is expected to be 22.62 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.36. Api Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Api Growth's share price is below 20 . This suggests 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 Api Growth's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Api Growth Fund, which may create opportunities for some arbitrage if properly timed.
Using Api Growth hype-based prediction, you can estimate the value of Api Growth Fund from the perspective of Api Growth response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Api Growth Fund on the next trading day is expected to be 22.62 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.36.

Api Growth after-hype prediction price

    
  USD 22.03  
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.
  
Check out Historical Fundamental Analysis of Api Growth to cross-verify your projections.

Api Growth Additional Predictive Modules

Most predictive techniques to examine Api price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Api using various technical indicators. When you analyze Api 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.
Api Growth polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Api Growth Fund as well as the accuracy indicators are determined from the period prices.

Api Growth Polynomial Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Polynomial Regression forecasted value of Api Growth Fund on the next trading day is expected to be 22.62 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.19, and the sum of the absolute errors of 20.36.
Please note that although there have been many attempts to predict Api 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 Api Growth's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Api Growth Mutual Fund Forecast Pattern

Backtest Api GrowthApi Growth Price PredictionBuy or Sell Advice 

Api Growth Forecasted Value

In the context of forecasting Api Growth'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. Api Growth's downside and upside margins for the forecasting period are 21.36 and 23.87, respectively. We have considered Api Growth'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
22.03
22.62
Expected Value
23.87
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Api Growth mutual fund data series using in forecasting. Note that when a statistical model is used to represent Api Growth 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 Criteria116.4351
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3338
MAPEMean absolute percentage error0.0152
SAESum of the absolute errors20.3608
A single variable polynomial regression model attempts to put a curve through the Api Growth historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Api Growth

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Api Growth Fund. 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
20.7822.0323.28
Details
Intrinsic
Valuation
LowRealHigh
20.7321.9823.23
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.1222.1123.10
Details

Other Forecasting Options for Api Growth

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

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

Api Growth Fund 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 Api Growth'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 Api Growth's current price.

Api Growth Market Strength Events

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

Api Growth Risk Indicators

The analysis of Api Growth'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 Api Growth's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting api 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.

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 Api Mutual Fund

Api Growth financial ratios help investors to determine whether Api 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 Api with respect to the benefits of owning Api Growth security.
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