Alger 35 Etf Forecast - Simple Regression
| ATFV Etf | USD 25.20 0.11 0.44% |
The Simple Regression forecasted value of Alger 35 ETF on the next trading day is expected to be 25.03 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.32. Alger Etf Forecast is based on your current time horizon.
Alger |
Alger 35 Simple Regression Price Forecast For the 25th of November
Given 90 days horizon, the Simple Regression forecasted value of Alger 35 ETF on the next trading day is expected to be 25.03 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.19, and the sum of the absolute errors of 20.32.Please note that although there have been many attempts to predict Alger Etf 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 Alger 35's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Alger 35 Etf Forecast Pattern
| Backtest Alger 35 | Alger 35 Price Prediction | Buy or Sell Advice |
Alger 35 Forecasted Value
In the context of forecasting Alger 35's Etf 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. Alger 35's downside and upside margins for the forecasting period are 23.79 and 26.28, respectively. We have considered Alger 35'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 Regression forecasting method's relative quality and the estimations of the prediction error of Alger 35 etf data series using in forecasting. Note that when a statistical model is used to represent Alger 35 etf, 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 | 116.4622 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3331 |
| MAPE | Mean absolute percentage error | 0.0149 |
| SAE | Sum of the absolute errors | 20.3211 |
Predictive Modules for Alger 35
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alger 35 ETF. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Other Forecasting Options for Alger 35
For every potential investor in Alger, whether a beginner or expert, Alger 35's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Alger Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Alger. Basic forecasting techniques help filter out the noise by identifying Alger 35's price trends.Alger 35 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 Alger 35 etf to make a market-neutral strategy. Peer analysis of Alger 35 could also be used in its relative valuation, which is a method of valuing Alger 35 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Alger 35 ETF Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Alger 35'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 Alger 35's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Alger 35 Market Strength Events
Market strength indicators help investors to evaluate how Alger 35 etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Alger 35 shares will generate the highest return on investment. By undertsting and applying Alger 35 etf market strength indicators, traders can identify Alger 35 ETF entry and exit signals to maximize returns.
Alger 35 Risk Indicators
The analysis of Alger 35'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 Alger 35's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alger etf 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 | 0.9355 | |||
| Semi Deviation | 1.24 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.55 | |||
| Downside Variance | 2.17 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | (0.96) |
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.
Thematic Opportunities
Explore Investment Opportunities
Check out Historical Fundamental Analysis of Alger 35 to cross-verify your projections. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
The market value of Alger 35 ETF is measured differently than its book value, which is the value of Alger that is recorded on the company's balance sheet. Investors also form their own opinion of Alger 35's value that differs from its market value or its book value, called intrinsic value, which is Alger 35's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Alger 35's market value can be influenced by many factors that don't directly affect Alger 35's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Alger 35's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alger 35 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alger 35's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.