Hapag-Lloyd Aktiengesellscha Pink Sheet Forecast - Naive Prediction
HLAGF Stock | USD 158.21 3.54 2.19% |
The Naive Prediction forecasted value of Hapag Lloyd Aktiengesellschaft on the next trading day is expected to be 156.03 with a mean absolute deviation of 6.76 and the sum of the absolute errors of 412.22. Hapag-Lloyd Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Hapag-Lloyd Aktiengesellscha's historical fundamentals, such as revenue growth or operating cash flow patterns.
Hapag-Lloyd |
Hapag-Lloyd Aktiengesellscha Naive Prediction Price Forecast For the 5th of December
Given 90 days horizon, the Naive Prediction forecasted value of Hapag Lloyd Aktiengesellschaft on the next trading day is expected to be 156.03 with a mean absolute deviation of 6.76, mean absolute percentage error of 62.76, and the sum of the absolute errors of 412.22.Please note that although there have been many attempts to predict Hapag-Lloyd 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 Hapag-Lloyd Aktiengesellscha's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hapag-Lloyd Aktiengesellscha Pink Sheet Forecast Pattern
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Hapag-Lloyd Aktiengesellscha Forecasted Value
In the context of forecasting Hapag-Lloyd Aktiengesellscha'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. Hapag-Lloyd Aktiengesellscha's downside and upside margins for the forecasting period are 152.34 and 159.72, respectively. We have considered Hapag-Lloyd Aktiengesellscha'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 Hapag-Lloyd Aktiengesellscha pink sheet data series using in forecasting. Note that when a statistical model is used to represent Hapag-Lloyd Aktiengesellscha 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 | 122.2498 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 6.7576 |
MAPE | Mean absolute percentage error | 0.041 |
SAE | Sum of the absolute errors | 412.2164 |
Predictive Modules for Hapag-Lloyd Aktiengesellscha
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hapag-Lloyd Aktiengesellscha. 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.Other Forecasting Options for Hapag-Lloyd Aktiengesellscha
For every potential investor in Hapag-Lloyd, whether a beginner or expert, Hapag-Lloyd Aktiengesellscha's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hapag-Lloyd Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hapag-Lloyd. Basic forecasting techniques help filter out the noise by identifying Hapag-Lloyd Aktiengesellscha's price trends.Hapag-Lloyd Aktiengesellscha 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 Hapag-Lloyd Aktiengesellscha pink sheet to make a market-neutral strategy. Peer analysis of Hapag-Lloyd Aktiengesellscha could also be used in its relative valuation, which is a method of valuing Hapag-Lloyd Aktiengesellscha by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Hapag-Lloyd Aktiengesellscha 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 Hapag-Lloyd Aktiengesellscha'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 Hapag-Lloyd Aktiengesellscha's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Hapag-Lloyd Aktiengesellscha Market Strength Events
Market strength indicators help investors to evaluate how Hapag-Lloyd Aktiengesellscha 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 Hapag-Lloyd Aktiengesellscha shares will generate the highest return on investment. By undertsting and applying Hapag-Lloyd Aktiengesellscha pink sheet market strength indicators, traders can identify Hapag Lloyd Aktiengesellschaft entry and exit signals to maximize returns.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.98 | |||
Day Median Price | 158.21 | |||
Day Typical Price | 158.21 | |||
Price Action Indicator | (1.77) | |||
Period Momentum Indicator | (3.54) | |||
Relative Strength Index | 58.4 |
Hapag-Lloyd Aktiengesellscha Risk Indicators
The analysis of Hapag-Lloyd Aktiengesellscha'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 Hapag-Lloyd Aktiengesellscha's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hapag-lloyd 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 | 1.8 | |||
Semi Deviation | 2.45 | |||
Standard Deviation | 3.61 | |||
Variance | 13.04 | |||
Downside Variance | 24.36 | |||
Semi Variance | 6.02 | |||
Expected Short fall | (4.63) |
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.
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Other Information on Investing in Hapag-Lloyd Pink Sheet
Hapag-Lloyd Aktiengesellscha financial ratios help investors to determine whether Hapag-Lloyd Pink Sheet 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 Hapag-Lloyd with respect to the benefits of owning Hapag-Lloyd Aktiengesellscha security.