BerolinaCapital Premium Fund Forecast - 20 Period Moving Average
| DEDL Fund | EUR 93.15 0.20 0.21% |
The 20 Period Moving Average forecasted value of BerolinaCapital Premium on the next trading day is expected to be 93.63 with a mean absolute deviation of 1.14 and the sum of the absolute errors of 46.69. BerolinaCapital Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of BerolinaCapital Premium's historical fundamentals, such as revenue growth or operating cash flow patterns.
BerolinaCapital |
BerolinaCapital Premium 20 Period Moving Average Price Forecast For the 23rd of December
Given 90 days horizon, the 20 Period Moving Average forecasted value of BerolinaCapital Premium on the next trading day is expected to be 93.63 with a mean absolute deviation of 1.14, mean absolute percentage error of 1.91, and the sum of the absolute errors of 46.69.Please note that although there have been many attempts to predict BerolinaCapital 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 BerolinaCapital Premium's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
BerolinaCapital Premium Fund Forecast Pattern
BerolinaCapital Premium Forecasted Value
In the context of forecasting BerolinaCapital Premium'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. BerolinaCapital Premium's downside and upside margins for the forecasting period are 92.68 and 94.59, respectively. We have considered BerolinaCapital Premium'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of BerolinaCapital Premium fund data series using in forecasting. Note that when a statistical model is used to represent BerolinaCapital Premium 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 | 81.9975 |
| Bias | Arithmetic mean of the errors | -0.9556 |
| MAD | Mean absolute deviation | 1.1388 |
| MAPE | Mean absolute percentage error | 0.0123 |
| SAE | Sum of the absolute errors | 46.69 |
Predictive Modules for BerolinaCapital Premium
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BerolinaCapital Premium. 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 BerolinaCapital Premium
For every potential investor in BerolinaCapital, whether a beginner or expert, BerolinaCapital Premium's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BerolinaCapital Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BerolinaCapital. Basic forecasting techniques help filter out the noise by identifying BerolinaCapital Premium's price trends.BerolinaCapital Premium 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 BerolinaCapital Premium fund to make a market-neutral strategy. Peer analysis of BerolinaCapital Premium could also be used in its relative valuation, which is a method of valuing BerolinaCapital Premium by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BerolinaCapital Premium 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 BerolinaCapital Premium'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 BerolinaCapital Premium's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
BerolinaCapital Premium Market Strength Events
Market strength indicators help investors to evaluate how BerolinaCapital Premium fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BerolinaCapital Premium shares will generate the highest return on investment. By undertsting and applying BerolinaCapital Premium fund market strength indicators, traders can identify BerolinaCapital Premium 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 | 93.15 | |||
| Day Typical Price | 93.15 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.20) | |||
| Relative Strength Index | 57.32 |
BerolinaCapital Premium Risk Indicators
The analysis of BerolinaCapital Premium'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 BerolinaCapital Premium's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting berolinacapital 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 | 0.6829 | |||
| Semi Deviation | 0.7101 | |||
| Standard Deviation | 0.9291 | |||
| Variance | 0.8632 | |||
| Downside Variance | 0.8111 | |||
| Semi Variance | 0.5043 | |||
| Expected Short fall | (0.74) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in BerolinaCapital Fund
BerolinaCapital Premium financial ratios help investors to determine whether BerolinaCapital Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BerolinaCapital with respect to the benefits of owning BerolinaCapital Premium security.
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |