Duolingo Stock Odds of Future Stock Price Finishing Over 216.38

DUOL Stock  USD 216.38  4.15  1.88%   
Duolingo's implied volatility is one of the determining factors in the pricing options written on Duolingo. Implied volatility approximates the future value of Duolingo based on the option's current value. Options with high implied volatility have higher premiums and can be used to hedge the downside of investing in Duolingo over a specific time period. For example, 2024-05-17 CALL at $220.0 is a CALL option contract on Duolingo's common stock with a strick price of 220.0 expiring on 2024-05-17. The contract was last traded on 2024-04-23 at 14:45:02 for $16.9 and, as of today, has 23 days remaining before the expiration. The option is currently trading at a bid price of $17.1, and an ask price of $17.8. The implied volatility as of the 24th of April is 76.45. View All Duolingo options

Closest to current price Duolingo long CALL Option Payoff at Expiration

Duolingo's future price is the expected price of Duolingo instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Duolingo performance during a given time horizon utilizing its historical volatility. Check out Duolingo Backtesting, Duolingo Valuation, Duolingo Correlation, Duolingo Hype Analysis, Duolingo Volatility, Duolingo History as well as Duolingo Performance.
For more information on how to buy Duolingo Stock please use our How to buy in Duolingo Stock guide.
  
At this time, Duolingo's Price Fair Value is quite stable compared to the past year. Please specify Duolingo's target price for which you would like Duolingo odds to be computed.

Duolingo Target Price Odds to finish over 216.38

The tendency of Duolingo Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move above the current price in 90 days
 216.38 90 days 216.38 
about 26.47
Based on a normal probability distribution, the odds of Duolingo to move above the current price in 90 days from now is about 26.47 (This Duolingo probability density function shows the probability of Duolingo Stock to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days the stock has the beta coefficient of 2.15 suggesting as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Duolingo will likely underperform. Additionally Duolingo has an alpha of 0.0683, implying that it can generate a 0.0683 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   Duolingo Price Density   
       Price  

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Duolingo'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.
Hype
Prediction
LowEstimatedHigh
216.52220.53224.54
Details
Intrinsic
Valuation
LowRealHigh
175.40179.41242.58
Details
Naive
Forecast
LowNextHigh
220.51224.52228.54
Details
15 Analysts
Consensus
LowTargetHigh
158.99174.71193.93
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Duolingo. Your research has to be compared to or analyzed against Duolingo's peers to derive any actionable benefits. When done correctly, Duolingo's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Duolingo.

Duolingo Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Duolingo is not an exception. The market had few large corrections towards the Duolingo's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Duolingo, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Duolingo within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.07
β
Beta against NYSE Composite2.15
σ
Overall volatility
18.56
Ir
Information ratio 0.04

Duolingo Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Duolingo for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Duolingo can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Duolingo had very high historical volatility over the last 90 days
Over 90.0% of the company shares are held by institutions such as insurance companies
Latest headline from MacroaxisInsider: Acquisition by Von Ahn Luis of 2273 shares of Duolingo subject to Rule 16b-3

Duolingo Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Duolingo Stock often depends not only on the future outlook of the current and potential Duolingo'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. Duolingo's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding46.5 M
Cash And Short Term Investments747.6 M

Duolingo Technical Analysis

Duolingo's future price can be derived by breaking down and analyzing its technical indicators over time. Duolingo Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Duolingo. In general, you should focus on analyzing Duolingo Stock price patterns and their correlations with different microeconomic environments and drivers.

Duolingo Predictive Forecast Models

Duolingo's time-series forecasting models is one of many Duolingo's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Duolingo's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about Duolingo

Checking the ongoing alerts about Duolingo for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Duolingo help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Duolingo had very high historical volatility over the last 90 days
Over 90.0% of the company shares are held by institutions such as insurance companies
Latest headline from MacroaxisInsider: Acquisition by Von Ahn Luis of 2273 shares of Duolingo subject to Rule 16b-3
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 Duolingo Backtesting, Duolingo Valuation, Duolingo Correlation, Duolingo Hype Analysis, Duolingo Volatility, Duolingo History as well as Duolingo Performance.
For more information on how to buy Duolingo Stock please use our How to buy in Duolingo Stock guide.
You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.

Complementary Tools for Duolingo Stock analysis

When running Duolingo's price analysis, check to measure Duolingo's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Duolingo is operating at the current time. Most of Duolingo's value examination focuses on studying past and present price action to predict the probability of Duolingo's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Duolingo's price. Additionally, you may evaluate how the addition of Duolingo to your portfolios can decrease your overall portfolio volatility.
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Is Duolingo's industry 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.
Earnings Share
0.35
Revenue Per Share
12.813
Quarterly Revenue Growth
0.454
Return On Assets
(0.01)
Return On Equity
0.0268
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.