DoorDash Stock Forward View - Triple Exponential Smoothing
| DASH Stock | USD 204.62 3.06 1.47% |
DoorDash Stock outlook is based on your current time horizon. We recommend always using this module together with an analysis of DoorDash's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 30th of January 2026, the value of RSI of DoorDash's share price is approaching 39 suggesting that the 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 DoorDash, making its price go up or down. Momentum 39
Sell Extended
Oversold | Overbought |
Using DoorDash hype-based prediction, you can estimate the value of DoorDash Class A from the perspective of DoorDash response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of DoorDash Class A on the next trading day is expected to be 202.50 with a mean absolute deviation of 4.86 and the sum of the absolute errors of 286.87. DoorDash after-hype prediction price | USD 207.68 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of DoorDash to cross-verify your projections. DoorDash Additional Predictive Modules
Most predictive techniques to examine DoorDash price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DoorDash using various technical indicators. When you analyze DoorDash 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 |
DoorDash Triple Exponential Smoothing Price Forecast For the 31st of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of DoorDash Class A on the next trading day is expected to be 202.50 with a mean absolute deviation of 4.86, mean absolute percentage error of 56.07, and the sum of the absolute errors of 286.87.Please note that although there have been many attempts to predict DoorDash 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 DoorDash's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
DoorDash Stock Forecast Pattern
| Backtest DoorDash | DoorDash Price Prediction | Buy or Sell Advice |
DoorDash Forecasted Value
In the context of forecasting DoorDash's 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. DoorDash's downside and upside margins for the forecasting period are 199.25 and 205.75, respectively. We have considered DoorDash'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of DoorDash stock data series using in forecasting. Note that when a statistical model is used to represent DoorDash 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 | Huge |
| Bias | Arithmetic mean of the errors | -1.5215 |
| MAD | Mean absolute deviation | 4.8622 |
| MAPE | Mean absolute percentage error | 0.023 |
| SAE | Sum of the absolute errors | 286.87 |
Predictive Modules for DoorDash
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DoorDash Class A. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DoorDash'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.
DoorDash After-Hype Price Density Analysis
As far as predicting the price of DoorDash 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 DoorDash 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 Stock prices, such as prices of DoorDash, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
DoorDash Estimiated After-Hype Price Volatility
In the context of predicting DoorDash's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on DoorDash's historical news coverage. DoorDash's after-hype downside and upside margins for the prediction period are 204.43 and 210.93, respectively. We have considered DoorDash'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
DoorDash is very steady at this time. Analysis and calculation of next after-hype price of DoorDash Class A is based on 3 months time horizon.
DoorDash Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as DoorDash is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DoorDash 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 Stock 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 DoorDash, 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 |
0.20 | 3.25 | 0.00 | 0.01 | 0 Events / Month | 2 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
204.62 | 207.68 | 0.00 |
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DoorDash Hype Timeline
DoorDash Class A is currently traded for 204.62. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. DoorDash 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 currently at -0.2%. %. The volatility of related hype on DoorDash is about 6802.33%, with the expected price after the next announcement by competition of 204.63. About 96.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 0.6. DoorDash Class A had not issued any dividends in recent years. Given the investment horizon of 90 days the next projected press release will be in a few days. Check out Historical Fundamental Analysis of DoorDash to cross-verify your projections.DoorDash Related Hype Analysis
Having access to credible news sources related to DoorDash's direct competition is more important than ever and may enhance your ability to predict DoorDash's future price movements. Getting to know how DoorDash'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 DoorDash may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SPOT | Spotify Technology SA | 0.00 | 0 per month | 0.00 | (0.24) | 3.03 | (3.45) | 7.41 | |
| CMCSA | Comcast Corp | 0.35 | 8 per month | 1.78 | 0.04 | 2.92 | (2.55) | 7.92 | |
| RELX | Relx PLC ADR | 0.00 | 0 per month | 0.00 | (0.25) | 1.73 | (2.67) | 9.04 | |
| RDDT | 0.00 | 0 per month | 0.00 | (0.03) | 5.96 | (6.76) | 21.40 | ||
| NBIS | Nebius Group NV | 0.00 | 0 per month | 0.00 | (0.06) | 7.98 | (7.69) | 23.24 | |
| BIDU | Baidu Inc | 0.00 | 0 per month | 2.09 | 0.12 | 6.08 | (4.36) | 18.81 | |
| TME | Tencent Music Entertainment | 0.07 | 10 per month | 0.00 | (0.19) | 3.54 | (4.93) | 12.10 | |
| AMX | America Movil SAB | 0.00 | 0 per month | 0.00 | (0.09) | 1.83 | (2.64) | 6.07 | |
| T | ATT Inc | 0.01 | 7 per month | 0.00 | (0.06) | 1.63 | (1.85) | 4.30 |
Other Forecasting Options for DoorDash
For every potential investor in DoorDash, whether a beginner or expert, DoorDash's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. DoorDash Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in DoorDash. Basic forecasting techniques help filter out the noise by identifying DoorDash's price trends.DoorDash 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 DoorDash stock to make a market-neutral strategy. Peer analysis of DoorDash could also be used in its relative valuation, which is a method of valuing DoorDash by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
DoorDash Market Strength Events
Market strength indicators help investors to evaluate how DoorDash stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DoorDash shares will generate the highest return on investment. By undertsting and applying DoorDash stock market strength indicators, traders can identify DoorDash Class A entry and exit signals to maximize returns.
| Accumulation Distribution | 135887.0 | |||
| Daily Balance Of Power | (0.42) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 206.36 | |||
| Day Typical Price | 205.78 | |||
| Price Action Indicator | (3.27) | |||
| Period Momentum Indicator | (3.06) | |||
| Relative Strength Index | 39.34 |
DoorDash Risk Indicators
The analysis of DoorDash'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 DoorDash's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting doordash 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 | 1.97 | |||
| Standard Deviation | 3.25 | |||
| Variance | 10.55 |
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 DoorDash
The number of cover stories for DoorDash depends on current market conditions and DoorDash's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that DoorDash 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 DoorDash'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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DoorDash Short Properties
DoorDash's future price predictability will typically decrease when DoorDash's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of DoorDash Class A often depends not only on the future outlook of the potential DoorDash's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. DoorDash's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 430.2 M | |
| Cash And Short Term Investments | 5.3 B |
Check out Historical Fundamental Analysis of DoorDash to cross-verify your projections. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Is there potential for Stock market expansion? Will DoorDash introduce new products? Factors like these will boost the valuation of DoorDash. Projected growth potential of DoorDash fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about DoorDash listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Investors evaluate DoorDash Class A using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating DoorDash's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause DoorDash's market price to deviate significantly from intrinsic value.
It's important to distinguish between DoorDash's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding DoorDash should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, DoorDash's market price signifies the transaction level at which participants voluntarily complete trades.