DEVANT PROPERTIES Fund Forecast - Polynomial Regression
| DPRO11 Fund | 6.53 0.41 5.91% |
DEVANT |
DEVANT PROPERTIES Polynomial Regression Price Forecast For the 25th of November
Given 90 days horizon, the Polynomial Regression forecasted value of DEVANT PROPERTIES FUNDO on the next trading day is expected to be 6.73 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.22.Please note that although there have been many attempts to predict DEVANT Fund 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 DEVANT PROPERTIES's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
DEVANT PROPERTIES Fund Forecast Pattern
DEVANT PROPERTIES Forecasted Value
In the context of forecasting DEVANT PROPERTIES's Fund 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. DEVANT PROPERTIES's downside and upside margins for the forecasting period are 2.98 and 10.47, respectively. We have considered DEVANT PROPERTIES'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of DEVANT PROPERTIES fund data series using in forecasting. Note that when a statistical model is used to represent DEVANT PROPERTIES fund, 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 | 115.0229 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1675 |
| MAPE | Mean absolute percentage error | 0.0257 |
| SAE | Sum of the absolute errors | 10.215 |
Predictive Modules for DEVANT PROPERTIES
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DEVANT PROPERTIES FUNDO. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 DEVANT PROPERTIES
For every potential investor in DEVANT, whether a beginner or expert, DEVANT PROPERTIES's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. DEVANT Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in DEVANT. Basic forecasting techniques help filter out the noise by identifying DEVANT PROPERTIES's price trends.DEVANT PROPERTIES 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 DEVANT PROPERTIES fund to make a market-neutral strategy. Peer analysis of DEVANT PROPERTIES could also be used in its relative valuation, which is a method of valuing DEVANT PROPERTIES by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
DEVANT PROPERTIES FUNDO Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of DEVANT PROPERTIES'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 DEVANT PROPERTIES's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
DEVANT PROPERTIES Market Strength Events
Market strength indicators help investors to evaluate how DEVANT PROPERTIES fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DEVANT PROPERTIES shares will generate the highest return on investment. By undertsting and applying DEVANT PROPERTIES fund market strength indicators, traders can identify DEVANT PROPERTIES FUNDO entry and exit signals to maximize returns.
DEVANT PROPERTIES Risk Indicators
The analysis of DEVANT PROPERTIES'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 DEVANT PROPERTIES's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting devant fund 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 | 2.34 | |||
| Semi Deviation | 3.11 | |||
| Standard Deviation | 3.69 | |||
| Variance | 13.64 | |||
| Downside Variance | 13.94 | |||
| Semi Variance | 9.7 | |||
| Expected Short fall | (3.15) |
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.| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |