Auto Trader OTC Stock Forecast - Simple Exponential Smoothing
| ATDRF Stock | USD 7.96 0.14 1.79% |
Auto OTC Stock outlook is based on your current time horizon. We recommend always using this module together with an analysis of Auto Trader's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 27th of January 2026, the value of RSI of Auto Trader's share price is approaching 43. This suggests that the otc stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Auto Trader, making its price go up or down. Momentum 43
Sell Extended
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Auto Trader based on different types of headlines from major news networks to social media. Using Auto Trader hype-based prediction, you can estimate the value of Auto Trader Group from the perspective of Auto Trader response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Auto Trader Group on the next trading day is expected to be 7.95 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.69. Auto Trader after-hype prediction price | USD 7.96 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Auto |
Auto Trader Additional Predictive Modules
Most predictive techniques to examine Auto price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Auto using various technical indicators. When you analyze Auto 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 |
Auto Trader Simple Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Auto Trader Group on the next trading day is expected to be 7.95 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.09, and the sum of the absolute errors of 13.69.Please note that although there have been many attempts to predict Auto OTC Stock 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 Auto Trader's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Auto Trader OTC Stock Forecast Pattern
| Backtest Auto Trader | Auto Trader Price Prediction | Buy or Sell Advice |
Auto Trader Forecasted Value
In the context of forecasting Auto Trader's OTC Stock 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. Auto Trader's downside and upside margins for the forecasting period are 4.30 and 11.60, respectively. We have considered Auto Trader'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Auto Trader otc stock data series using in forecasting. Note that when a statistical model is used to represent Auto Trader otc stock, 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 | 113.9069 |
| Bias | Arithmetic mean of the errors | 0.0663 |
| MAD | Mean absolute deviation | 0.2282 |
| MAPE | Mean absolute percentage error | 0.0267 |
| SAE | Sum of the absolute errors | 13.6914 |
Predictive Modules for Auto Trader
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Auto Trader Group. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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.Auto Trader After-Hype Price Density Analysis
As far as predicting the price of Auto Trader at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Auto Trader or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of OTC Stock prices, such as prices of Auto Trader, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Auto Trader Estimiated After-Hype Price Volatility
In the context of predicting Auto Trader's otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Auto Trader's historical news coverage. Auto Trader's after-hype downside and upside margins for the prediction period are 4.31 and 11.61, respectively. We have considered Auto Trader's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Auto Trader is slightly risky at this time. Analysis and calculation of next after-hype price of Auto Trader Group is based on 3 months time horizon.
Auto Trader OTC Stock Price Outlook Analysis
Have you ever been surprised when a price of a OTC Stock such as Auto Trader is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Auto Trader backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the OTC price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Auto Trader, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.45 | 3.65 | 0.00 | 0.10 | 0 Events / Month | 3 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
7.96 | 7.96 | 0.00 |
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Auto Trader Hype Timeline
Auto Trader Group is presently traded for 7.96. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.1. Auto is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is presently at -0.45%. %. The volatility of related hype on Auto Trader is about 1689.81%, with the expected price after the next announcement by competition of 7.86. About 71.0% of the company shares are held by institutions such as insurance companies. The company last dividend was issued on the 26th of January 2018. Assuming the 90 days horizon the next projected press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Auto Trader to cross-verify your projections.Auto Trader Related Hype Analysis
Having access to credible news sources related to Auto Trader's direct competition is more important than ever and may enhance your ability to predict Auto Trader's future price movements. Getting to know how Auto Trader's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Auto Trader may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CSXXY | CarsalesCom Ltd ADR | 0.00 | 0 per month | 0.00 | (0.12) | 2.53 | (3.47) | 13.99 | |
| RTMVF | Rightmove plc | 0.00 | 0 per month | 0.00 | (0.26) | 0.00 | (1.41) | 11.46 | |
| RTMVY | Rightmove Plc | (0.54) | 4 per month | 0.00 | (0.24) | 1.57 | (2.44) | 13.12 | |
| CEVMF | CTS Eventim AG | 0.00 | 0 per month | 0.00 | (0.06) | 0.00 | 0.00 | 5.37 | |
| CEVMY | CTS Eventim AG | 0.00 | 0 per month | 0.00 | (0.10) | 0.21 | 0.00 | 13.64 | |
| PSORF | Pearson plc | 0.00 | 0 per month | 0.00 | (0.07) | 0.00 | (1.34) | 26.85 | |
| NPSNY | Naspers Ltd ADR | (0.54) | 8 per month | 0.00 | (0.1) | 2.77 | (3.14) | 9.05 | |
| BCEXF | BCE Inc | (0.54) | 12 per month | 0.00 | (0.31) | 0.00 | 0.00 | 1.52 | |
| SBSNY | Schibsted ASA ADR | 0.00 | 0 per month | 0.00 | (0.01) | 10.98 | (8.71) | 36.09 | |
| ELMUF | Elisa Oyj | (0.54) | 8 per month | 0.00 | (0.17) | 0.00 | 0.00 | 6.57 |
Other Forecasting Options for Auto Trader
For every potential investor in Auto, whether a beginner or expert, Auto Trader's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Auto OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Auto. Basic forecasting techniques help filter out the noise by identifying Auto Trader's price trends.Auto Trader 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 Auto Trader otc stock to make a market-neutral strategy. Peer analysis of Auto Trader could also be used in its relative valuation, which is a method of valuing Auto Trader by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Auto Trader Market Strength Events
Market strength indicators help investors to evaluate how Auto Trader otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Auto Trader shares will generate the highest return on investment. By undertsting and applying Auto Trader otc stock market strength indicators, traders can identify Auto Trader Group entry and exit signals to maximize returns.
Auto Trader Risk Indicators
The analysis of Auto Trader'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 Auto Trader's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting auto otc stock 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 | 2.69 | |||
| Standard Deviation | 3.57 | |||
| Variance | 12.75 |
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.
Story Coverage note for Auto Trader
The number of cover stories for Auto Trader depends on current market conditions and Auto Trader's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Auto Trader is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Auto Trader's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Auto OTC Stock
Auto Trader financial ratios help investors to determine whether Auto OTC Stock 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 Auto with respect to the benefits of owning Auto Trader security.