Duolingo Stock Forecast - Double Exponential Smoothing

DUOL Stock  USD 312.07  63.71  16.95%   
The Double Exponential Smoothing forecasted value of Duolingo on the next trading day is expected to be 310.32 with a mean absolute deviation of 9.29 and the sum of the absolute errors of 557.41. 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.
  
At this time, Duolingo's Inventory Turnover is quite stable compared to the past year. Receivables Turnover is expected to rise to 7.74 this year, although the value of Payables Turnover will most likely fall to 27.96. . The value of Common Stock Shares Outstanding is expected to slide to about 43.1 M. The value of Net Loss is expected to slide to about (56.3 M).

Open Interest Against 2025-05-16 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.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Duolingo works best with periods where there are trends or seasonality.

Duolingo Double Exponential Smoothing Price Forecast For the 2nd of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Duolingo on the next trading day is expected to be 310.32 with a mean absolute deviation of 9.29, mean absolute percentage error of 193.52, and the sum of the absolute errors of 557.41.
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 DuolingoDuolingo Price PredictionBuy 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 306.54 and 314.10, 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.
Market Value
312.07
306.54
Downside
310.32
Expected Value
314.10
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -1.1758
MADMean absolute deviation9.2902
MAPEMean absolute percentage error0.026
SAESum of the absolute errors557.41
When Duolingo prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Duolingo trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Duolingo observations are given relatively more weight in forecasting than the older observations.

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.
Hype
Prediction
LowEstimatedHigh
308.36312.14315.92
Details
Intrinsic
Valuation
LowRealHigh
302.81306.59343.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
334.24391.92449.61
Details
20 Analysts
Consensus
LowTargetHigh
316.60347.91386.18
Details

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.

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.

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.
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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When determining whether Duolingo is a strong investment it is important to analyze Duolingo's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Duolingo's future performance. For an informed investment choice regarding Duolingo Stock, refer to the following important reports:
Check 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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
7.167
Earnings Share
1.82
Revenue Per Share
16.035
Quarterly Revenue Growth
0.399
Return On Assets
0.0325
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.