AXS 15X Etf Forecast - Naive Prediction
| PYPS Etf | USD 10.54 0.05 0.48% |
The Naive Prediction forecasted value of AXS 15X PYPL on the next trading day is expected to be 10.41 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.61. AXS Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of AXS 15X's share price is below 20 indicating that the etf 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 |
Using AXS 15X hype-based prediction, you can estimate the value of AXS 15X PYPL from the perspective of AXS 15X response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of AXS 15X PYPL on the next trading day is expected to be 10.41 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.61. AXS 15X after-hype prediction price | USD 10.54 |
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of AXS 15X to cross-verify your projections. AXS 15X Additional Predictive Modules
Most predictive techniques to examine AXS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AXS using various technical indicators. When you analyze AXS 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 |
AXS 15X Naive Prediction Price Forecast For the 14th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of AXS 15X PYPL on the next trading day is expected to be 10.41 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.61.Please note that although there have been many attempts to predict AXS 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 AXS 15X's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AXS 15X Etf Forecast Pattern
| Backtest AXS 15X | AXS 15X Price Prediction | Buy or Sell Advice |
AXS 15X Forecasted Value
In the context of forecasting AXS 15X'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. AXS 15X's downside and upside margins for the forecasting period are 8.29 and 12.52, respectively. We have considered AXS 15X'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of AXS 15X etf data series using in forecasting. Note that when a statistical model is used to represent AXS 15X 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 | 114.8487 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1411 |
| MAPE | Mean absolute percentage error | 0.0149 |
| SAE | Sum of the absolute errors | 8.6064 |
Predictive Modules for AXS 15X
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AXS 15X PYPL. 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 AXS 15X
For every potential investor in AXS, whether a beginner or expert, AXS 15X's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AXS Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AXS. Basic forecasting techniques help filter out the noise by identifying AXS 15X's price trends.AXS 15X 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 AXS 15X etf to make a market-neutral strategy. Peer analysis of AXS 15X could also be used in its relative valuation, which is a method of valuing AXS 15X by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AXS 15X PYPL 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 AXS 15X'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 AXS 15X's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
AXS 15X Market Strength Events
Market strength indicators help investors to evaluate how AXS 15X etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AXS 15X shares will generate the highest return on investment. By undertsting and applying AXS 15X etf market strength indicators, traders can identify AXS 15X PYPL entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 10.54 | |||
| Day Typical Price | 10.54 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | 0.05 |
AXS 15X Risk Indicators
The analysis of AXS 15X'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 AXS 15X's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting axs 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 | 1.55 | |||
| Semi Deviation | 1.77 | |||
| Standard Deviation | 2.22 | |||
| Variance | 4.92 | |||
| Downside Variance | 4.67 | |||
| Semi Variance | 3.14 | |||
| Expected Short fall | (1.79) |
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 AXS 15X to cross-verify your projections. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
The market value of AXS 15X PYPL is measured differently than its book value, which is the value of AXS that is recorded on the company's balance sheet. Investors also form their own opinion of AXS 15X's value that differs from its market value or its book value, called intrinsic value, which is AXS 15X'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 AXS 15X's market value can be influenced by many factors that don't directly affect AXS 15X'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 AXS 15X's value and its price as these two are different measures arrived at by different means. Investors typically determine if AXS 15X is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AXS 15X'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.