Daimler Truck Pink Sheet Forecast - Naive Prediction
| DTGHF Stock | USD 46.00 2.21 5.05% |
The Naive Prediction forecasted value of Daimler Truck Holding on the next trading day is expected to be 45.73 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 41.09. Daimler Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Daimler Truck's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 7th of January 2026 the relative strength index (rsi) of Daimler Truck's share price is below 20 suggesting that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Daimler Truck hype-based prediction, you can estimate the value of Daimler Truck Holding from the perspective of Daimler Truck response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Daimler Truck Holding on the next trading day is expected to be 45.73 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 41.09. Daimler Truck after-hype prediction price | USD 46.0 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Daimler |
Daimler Truck Additional Predictive Modules
Most predictive techniques to examine Daimler price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Daimler using various technical indicators. When you analyze Daimler charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Daimler Truck Naive Prediction Price Forecast For the 8th of January
Given 90 days horizon, the Naive Prediction forecasted value of Daimler Truck Holding on the next trading day is expected to be 45.73 with a mean absolute deviation of 0.66, mean absolute percentage error of 0.66, and the sum of the absolute errors of 41.09.Please note that although there have been many attempts to predict Daimler 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 Daimler Truck's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Daimler Truck Pink Sheet Forecast Pattern
| Backtest Daimler Truck | Daimler Truck Price Prediction | Buy or Sell Advice |
Daimler Truck Forecasted Value
In the context of forecasting Daimler Truck'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. Daimler Truck's downside and upside margins for the forecasting period are 43.77 and 47.68, respectively. We have considered Daimler Truck'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 Daimler Truck pink sheet data series using in forecasting. Note that when a statistical model is used to represent Daimler Truck 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 | 119.5396 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6627 |
| MAPE | Mean absolute percentage error | 0.016 |
| SAE | Sum of the absolute errors | 41.0854 |
Predictive Modules for Daimler Truck
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Daimler Truck Holding. 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 Daimler Truck
For every potential investor in Daimler, whether a beginner or expert, Daimler Truck's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Daimler Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Daimler. Basic forecasting techniques help filter out the noise by identifying Daimler Truck's price trends.Daimler Truck 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 Daimler Truck pink sheet to make a market-neutral strategy. Peer analysis of Daimler Truck could also be used in its relative valuation, which is a method of valuing Daimler Truck by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Daimler Truck Holding 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 Daimler Truck'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 Daimler Truck's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Daimler Truck Market Strength Events
Market strength indicators help investors to evaluate how Daimler Truck 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 Daimler Truck shares will generate the highest return on investment. By undertsting and applying Daimler Truck pink sheet market strength indicators, traders can identify Daimler Truck Holding entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.05 | |||
| Day Median Price | 46.0 | |||
| Day Typical Price | 46.0 | |||
| Price Action Indicator | 1.11 | |||
| Period Momentum Indicator | 2.21 |
Daimler Truck Risk Indicators
The analysis of Daimler Truck'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 Daimler Truck's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting daimler 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 | 1.3 | |||
| Semi Deviation | 1.36 | |||
| Standard Deviation | 1.91 | |||
| Variance | 3.66 | |||
| Downside Variance | 4.32 | |||
| Semi Variance | 1.84 | |||
| Expected Short fall | (2.07) |
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 Daimler Pink Sheet
Daimler Truck financial ratios help investors to determine whether Daimler 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 Daimler with respect to the benefits of owning Daimler Truck security.