Build Funds Etf Forecast - Naive Prediction
| BFIX Etf | USD 24.35 0.01 0.04% |
The Naive Prediction forecasted value of Build Funds Trust on the next trading day is expected to be 24.38 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.88. Build Etf Forecast is based on your current time horizon.
Build |
Build Funds Naive Prediction Price Forecast For the 18th of October 2024
Given 90 days horizon, the Naive Prediction forecasted value of Build Funds Trust on the next trading day is expected to be 24.38 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.02, and the sum of the absolute errors of 3.88.Please note that although there have been many attempts to predict Build 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 Build Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Build Funds Etf Forecast Pattern
| Backtest Build Funds | Build Funds Price Prediction | Buy or Sell Advice |
Build Funds Forecasted Value
In the context of forecasting Build 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. Build Funds' downside and upside margins for the forecasting period are 23.60 and 25.16, respectively. We have considered Build 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 Build Funds etf data series using in forecasting. Note that when a statistical model is used to represent Build 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 | 114.0111 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0637 |
| MAPE | Mean absolute percentage error | 0.0027 |
| SAE | Sum of the absolute errors | 3.8832 |
Predictive Modules for Build 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 Build 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 Build 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 Build Funds
For every potential investor in Build, whether a beginner or expert, Build Funds' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Build Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Build. Basic forecasting techniques help filter out the noise by identifying Build Funds' price trends.Build 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 Build Funds etf to make a market-neutral strategy. Peer analysis of Build Funds could also be used in its relative valuation, which is a method of valuing Build Funds by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Build 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 Build 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 Build Funds' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Build Funds Market Strength Events
Market strength indicators help investors to evaluate how Build 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 Build Funds shares will generate the highest return on investment. By undertsting and applying Build Funds etf market strength indicators, traders can identify Build Funds Trust entry and exit signals to maximize returns.
Build Funds Risk Indicators
The analysis of Build 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 Build Funds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting build 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 | 0.309 | |||
| Semi Deviation | 0.7191 | |||
| Standard Deviation | 0.7725 | |||
| Variance | 0.5967 | |||
| Downside Variance | 0.699 | |||
| Semi Variance | 0.5172 | |||
| Expected Short fall | (0.35) |
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.| AVAV | AeroVironment | |
| ELVN | Enliven Therapeutics | |
| NFLX | Netflix |
Check out Historical Fundamental Analysis of Build Funds to cross-verify your projections. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
The market value of Build Funds Trust is measured differently than its book value, which is the value of Build that is recorded on the company's balance sheet. Investors also form their own opinion of Build Funds' value that differs from its market value or its book value, called intrinsic value, which is Build 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 Build Funds' market value can be influenced by many factors that don't directly affect Build 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 Build Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Build Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Build 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.