Deutsche Brse Pink Sheet Forecast - Simple Moving Average
| DBOEF Stock | USD 199.50 5.25 2.70% |
The Simple Moving Average forecasted value of Deutsche Brse AG on the next trading day is expected to be 199.50 with a mean absolute deviation of 2.04 and the sum of the absolute errors of 120.64. Deutsche Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Deutsche Brse stock prices and determine the direction of Deutsche Brse AG's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Deutsche Brse's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Deutsche Brse to cross-verify your projections. Deutsche |
Most investors in Deutsche Brse cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Deutsche Brse's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Deutsche Brse's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Deutsche Brse is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility. Deutsche Brse Simple Moving Average Price Forecast For the 20th of April
Given 90 days horizon, the Simple Moving Average forecasted value of Deutsche Brse AG on the next trading day is expected to be 199.50 with a mean absolute deviation of 2.04, mean absolute percentage error of 7.13, and the sum of the absolute errors of 120.64.Please note that although there have been many attempts to predict Deutsche Pink Sheet 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 Deutsche Brse's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Deutsche Brse Pink Sheet Forecast Pattern
| Backtest Deutsche Brse | Deutsche Brse Price Prediction | Buy or Sell Advice |
Deutsche Brse Forecasted Value
In the context of forecasting Deutsche Brse's Pink Sheet 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. Deutsche Brse's downside and upside margins for the forecasting period are 198.30 and 200.70, respectively. We have considered Deutsche Brse'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Deutsche Brse pink sheet data series using in forecasting. Note that when a statistical model is used to represent Deutsche Brse pink sheet, 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 | 116.3989 |
| Bias | Arithmetic mean of the errors | 0.0492 |
| MAD | Mean absolute deviation | 2.0448 |
| MAPE | Mean absolute percentage error | 0.0101 |
| SAE | Sum of the absolute errors | 120.645 |
Predictive Modules for Deutsche Brse
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deutsche Brse AG. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Deutsche Brse's 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 Deutsche Brse
For every potential investor in Deutsche, whether a beginner or expert, Deutsche Brse's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deutsche Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Deutsche. Basic forecasting techniques help filter out the noise by identifying Deutsche Brse's price trends.Deutsche Brse 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 Deutsche Brse pink sheet to make a market-neutral strategy. Peer analysis of Deutsche Brse could also be used in its relative valuation, which is a method of valuing Deutsche Brse by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deutsche Brse AG Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Deutsche Brse'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 Deutsche Brse's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Deutsche Brse Market Strength Events
Market strength indicators help investors to evaluate how Deutsche Brse pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deutsche Brse shares will generate the highest return on investment. By undertsting and applying Deutsche Brse pink sheet market strength indicators, traders can identify Deutsche Brse AG entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 199.5 | |||
| Day Typical Price | 199.5 | |||
| Price Action Indicator | 2.63 | |||
| Period Momentum Indicator | 5.25 |
Deutsche Brse Risk Indicators
The analysis of Deutsche Brse'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 Deutsche Brse's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deutsche pink sheet 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 | 0.8537 | |||
| Standard Deviation | 1.19 | |||
| Variance | 1.41 |
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.
Pair Trading with Deutsche Brse
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Deutsche Brse position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Deutsche Brse will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Deutsche Brse could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deutsche Brse when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Deutsche Brse - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Deutsche Brse AG to buy it.
The correlation of Deutsche Brse is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Deutsche Brse moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deutsche Brse AG moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Deutsche Brse can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Deutsche Brse to cross-verify your projections. Note that the Deutsche Brse AG information on this page should be used as a complementary analysis to other Deutsche Brse's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Complementary Tools for Deutsche Pink Sheet analysis
When running Deutsche Brse's price analysis, check to measure Deutsche Brse's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Deutsche Brse is operating at the current time. Most of Deutsche Brse's value examination focuses on studying past and present price action to predict the probability of Deutsche Brse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Brse's price. Additionally, you may evaluate how the addition of Deutsche Brse to your portfolios can decrease your overall portfolio volatility.
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |