Duolingo Stock Forecast - Naive Prediction
| DUOL Stock | USD 176.66 2.79 1.60% |
The Naive Prediction forecasted value of Duolingo on the next trading day is expected to be 192.78 with a mean absolute deviation of 7.76 and the sum of the absolute errors of 481.01. Duolingo Stock Forecast is based on your current time horizon. Although Duolingo's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Duolingo's systematic risk associated with finding meaningful patterns of Duolingo fundamentals over time.
As of now the relative strength index (rsi) of Duolingo's share price is below 20 suggesting that the stock 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 |
Quarterly Earnings Growth 11.143 | EPS Estimate Next Quarter 1.7267 | EPS Estimate Current Year 11.885 | EPS Estimate Next Year 7.9317 | Wall Street Target Price 266.2247 |
Using Duolingo hype-based prediction, you can estimate the value of Duolingo from the perspective of Duolingo response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Duolingo using Duolingo's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Duolingo using crowd psychology based on the activity and movement of Duolingo's stock price.
Duolingo Short Interest
An investor who is long Duolingo may also wish to track short interest. As short interest increases, investors should be becoming more worried about Duolingo and may potentially protect profits, hedge Duolingo with its derivative instruments, or be ready for some potential downside.
200 Day MA 331.8353 | Short Percent 0.139 | Short Ratio 2.79 | Shares Short Prior Month 5.4 M | 50 Day MA 199.7424 |
Duolingo Hype to Price Pattern
Investor biases related to Duolingo's public news can be used to forecast risks associated with an investment in Duolingo. The trend in average sentiment can be used to explain how an investor holding Duolingo can time the market purely based on public headlines and social activities around Duolingo. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Duolingo's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Duolingo.
Duolingo Implied Volatility | 0.76 |
Duolingo's implied volatility exposes the market's sentiment of Duolingo stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Duolingo's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Duolingo stock will not fluctuate a lot when Duolingo's options are near their expiration.
The Naive Prediction forecasted value of Duolingo on the next trading day is expected to be 192.78 with a mean absolute deviation of 7.76 and the sum of the absolute errors of 481.01. Duolingo after-hype prediction price | USD 175.13 |
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 Duolingo to cross-verify your projections. Open Interest Against 2026-04-17 Duolingo Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Duolingo's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Duolingo's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Duolingo stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Duolingo's open interest, investors have to compare it to Duolingo's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Duolingo is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Duolingo. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Duolingo Additional Predictive Modules
Most predictive techniques to examine Duolingo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Duolingo using various technical indicators. When you analyze Duolingo 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 |
Duolingo Cash Forecast
To forecast cash or other financial indicators, analysts must employ diverse statistical methods, techniques, and algorithms. This approach allows them to detect underlying patterns in the Duolingo's financial statements, predicting their influence on future market prices.
Cash | First Reported 2020-03-31 | Previous Quarter 976.2 M | Current Value 1 B | Quarterly Volatility 300.4 M |
Duolingo Naive Prediction Price Forecast For the 11th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of Duolingo on the next trading day is expected to be 192.78 with a mean absolute deviation of 7.76, mean absolute percentage error of 102.49, and the sum of the absolute errors of 481.01.Please note that although there have been many attempts to predict Duolingo 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 Duolingo's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Duolingo Stock Forecast Pattern
| Backtest Duolingo | Duolingo Price Prediction | Buy or Sell Advice |
Duolingo Forecasted Value
In the context of forecasting Duolingo'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. Duolingo's downside and upside margins for the forecasting period are 188.54 and 197.03, respectively. We have considered Duolingo'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 Duolingo stock data series using in forecasting. Note that when a statistical model is used to represent Duolingo 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 | 124.5782 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 7.7583 |
| MAPE | Mean absolute percentage error | 0.0354 |
| SAE | Sum of the absolute errors | 481.0119 |
Predictive Modules for Duolingo
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Duolingo. 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.Other Forecasting Options for Duolingo
For every potential investor in Duolingo, whether a beginner or expert, Duolingo's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Duolingo Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Duolingo. Basic forecasting techniques help filter out the noise by identifying Duolingo's price trends.Duolingo 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 Duolingo stock to make a market-neutral strategy. Peer analysis of Duolingo could also be used in its relative valuation, which is a method of valuing Duolingo by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Duolingo Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Duolingo'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 Duolingo's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Duolingo Market Strength Events
Market strength indicators help investors to evaluate how Duolingo stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Duolingo shares will generate the highest return on investment. By undertsting and applying Duolingo stock market strength indicators, traders can identify Duolingo entry and exit signals to maximize returns.
| Accumulation Distribution | 40216.88 | |||
| Daily Balance Of Power | 0.3924 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 175.46 | |||
| Day Typical Price | 175.86 | |||
| Price Action Indicator | 2.6 | |||
| Period Momentum Indicator | 2.79 |
Duolingo Risk Indicators
The analysis of Duolingo'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 Duolingo's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting duolingo 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 | 4.3 | |||
| Variance | 18.53 |
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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Try AI Portfolio ProphetCheck out Historical Fundamental Analysis of Duolingo to cross-verify your projections. For more information on how to buy Duolingo Stock please use our How to buy in Duolingo Stock guide.You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Is Diversified Consumer Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Duolingo. If investors know Duolingo will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Duolingo listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 11.143 | Earnings Share 7.95 | Revenue Per Share | Quarterly Revenue Growth 0.411 | Return On Assets |
The market value of Duolingo is measured differently than its book value, which is the value of Duolingo that is recorded on the company's balance sheet. Investors also form their own opinion of Duolingo's value that differs from its market value or its book value, called intrinsic value, which is Duolingo's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Duolingo's market value can be influenced by many factors that don't directly affect Duolingo's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Duolingo's value and its price as these two are different measures arrived at by different means. Investors typically determine if Duolingo is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Duolingo's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.