Listed Funds Etf Forecast - Naive Prediction
| OVT Etf | USD 22.27 0.04 0.18% |
The Naive Prediction forecasted value of Listed Funds Trust on the next trading day is expected to be 22.31 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.59. Listed Etf Forecast is based on your current time horizon.
Listed |
Open Interest Against 2025-05-16 Listed Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Listed Funds' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Listed Funds' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Listed Funds stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Listed Funds' open interest, investors have to compare it to Listed Funds' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Listed Funds is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Listed. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Listed Funds Naive Prediction Price Forecast For the 28th of February
Given 90 days horizon, the Naive Prediction forecasted value of Listed Funds Trust on the next trading day is expected to be 22.31 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.59.Please note that although there have been many attempts to predict Listed 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 Listed Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Listed Funds Etf Forecast Pattern
| Backtest Listed Funds | Listed Funds Price Prediction | Buy or Sell Advice |
Listed Funds Forecasted Value
In the context of forecasting Listed Funds' 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. Listed Funds' downside and upside margins for the forecasting period are 22.04 and 22.57, respectively. We have considered Listed Funds' 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 Listed Funds etf data series using in forecasting. Note that when a statistical model is used to represent Listed Funds 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 | 112.2847 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0424 |
| MAPE | Mean absolute percentage error | 0.0019 |
| SAE | Sum of the absolute errors | 2.5868 |
Predictive Modules for Listed Funds
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Listed Funds Trust. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Listed Funds' 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 Listed Funds
For every potential investor in Listed, whether a beginner or expert, Listed Funds' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Listed Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Listed. Basic forecasting techniques help filter out the noise by identifying Listed Funds' price trends.Listed Funds 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 Listed Funds etf to make a market-neutral strategy. Peer analysis of Listed Funds could also be used in its relative valuation, which is a method of valuing Listed Funds by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Listed Funds Trust 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 Listed Funds' 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 Listed Funds' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Listed Funds Market Strength Events
Market strength indicators help investors to evaluate how Listed Funds etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Listed Funds shares will generate the highest return on investment. By undertsting and applying Listed Funds etf market strength indicators, traders can identify Listed Funds Trust entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 22.27 | |||
| Day Typical Price | 22.27 | |||
| Price Action Indicator | (0.02) | |||
| Period Momentum Indicator | (0.04) | |||
| Relative Strength Index | 55.68 |
Listed Funds Risk Indicators
The analysis of Listed Funds' 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 Listed Funds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting listed 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 | 0.2104 | |||
| Semi Deviation | 0.2009 | |||
| Standard Deviation | 0.2621 | |||
| Variance | 0.0687 | |||
| Downside Variance | 0.0759 | |||
| Semi Variance | 0.0403 | |||
| Expected Short fall | (0.23) |
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 Listed Funds to cross-verify your projections. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
The market value of Listed Funds Trust is measured differently than its book value, which is the value of Listed that is recorded on the company's balance sheet. Investors also form their own opinion of Listed Funds' value that differs from its market value or its book value, called intrinsic value, which is Listed Funds' 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 Listed Funds' market value can be influenced by many factors that don't directly affect Listed Funds' 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 Listed Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Listed Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Listed Funds' 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.