LIQUID1 Etf Forecast - Naive Prediction
| LIQUID1 Etf | 1,022 0.54 0.05% |
LIQUID1 |
LIQUID1 Naive Prediction Price Forecast For the 3rd of December
Given 90 days horizon, the Naive Prediction forecasted value of LIQUID1 on the next trading day is expected to be 1,022 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.51.Please note that although there have been many attempts to predict LIQUID1 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 LIQUID1's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
LIQUID1 Etf Forecast Pattern
LIQUID1 Forecasted Value
In the context of forecasting LIQUID1'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. LIQUID1's downside and upside margins for the forecasting period are 1,022 and 1,022, respectively. We have considered LIQUID1'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 LIQUID1 etf data series using in forecasting. Note that when a statistical model is used to represent LIQUID1 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 | 114.0046 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1067 |
| MAPE | Mean absolute percentage error | 1.0E-4 |
| SAE | Sum of the absolute errors | 6.5071 |
Predictive Modules for LIQUID1
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LIQUID1. 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 LIQUID1
For every potential investor in LIQUID1, whether a beginner or expert, LIQUID1's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. LIQUID1 Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in LIQUID1. Basic forecasting techniques help filter out the noise by identifying LIQUID1's price trends.LIQUID1 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 LIQUID1 etf to make a market-neutral strategy. Peer analysis of LIQUID1 could also be used in its relative valuation, which is a method of valuing LIQUID1 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
LIQUID1 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 LIQUID1'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 LIQUID1's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
LIQUID1 Market Strength Events
Market strength indicators help investors to evaluate how LIQUID1 etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading LIQUID1 shares will generate the highest return on investment. By undertsting and applying LIQUID1 etf market strength indicators, traders can identify LIQUID1 entry and exit signals to maximize returns.
LIQUID1 Risk Indicators
The analysis of LIQUID1'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 LIQUID1's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting liquid1 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 | 0.0135 | |||
| Standard Deviation | 0.017 | |||
| Variance | 3.0E-4 |
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.