Coursera Stock Technical Analysis
| COUR Stock | USD 6.50 0.02 0.31% |
As of the 26th of January, Coursera shows the Risk Adjusted Performance of (0.17), mean deviation of 1.98, and Standard Deviation of 2.87. Coursera technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Coursera market risk adjusted performance and treynor ratio to decide if Coursera is priced correctly, providing market reflects its regular price of 6.5 per share. Given that Coursera has information ratio of (0.27), we suggest you to validate Coursera's prevailing market performance to make sure the company can sustain itself at a future point.
Coursera Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Coursera, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CourseraCoursera's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Coursera Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 11.45 | Buy | 15 | Odds |
Most Coursera analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Coursera stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Coursera, talking to its executives and customers, or listening to Coursera conference calls.
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 Coursera. If investors know Coursera 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 Coursera listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.29) | Revenue Per Share | Quarterly Revenue Growth 0.103 | Return On Assets | Return On Equity |
The market value of Coursera is measured differently than its book value, which is the value of Coursera that is recorded on the company's balance sheet. Investors also form their own opinion of Coursera's value that differs from its market value or its book value, called intrinsic value, which is Coursera'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 Coursera's market value can be influenced by many factors that don't directly affect Coursera'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 Coursera's value and its price as these two are different measures arrived at by different means. Investors typically determine if Coursera is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Coursera'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.
Coursera 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Coursera's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Coursera.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Coursera on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Coursera or generate 0.0% return on investment in Coursera over 90 days. Coursera is related to or competes with Afya, Phoenix Education, Youdao, Newell Rubbermaid, Universal Technical, Gaotu Techedu, and Ingles Markets. Coursera, Inc. operates an online educational content platform that connects learners, educators, organizations, and ins... More
Coursera Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Coursera's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Coursera upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 14.34 | |||
| Value At Risk | (6.89) | |||
| Potential Upside | 2.66 |
Coursera Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Coursera's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Coursera's standard deviation. In reality, there are many statistical measures that can use Coursera historical prices to predict the future Coursera's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (1.37) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coursera'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.
Coursera January 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | (1.36) | |||
| Mean Deviation | 1.98 | |||
| Coefficient Of Variation | (410.48) | |||
| Standard Deviation | 2.87 | |||
| Variance | 8.22 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (1.37) | |||
| Maximum Drawdown | 14.34 | |||
| Value At Risk | (6.89) | |||
| Potential Upside | 2.66 | |||
| Skewness | (2.05) | |||
| Kurtosis | 5.97 |
Coursera Backtested Returns
Coursera secures Sharpe Ratio (or Efficiency) of -0.2, which signifies that the company had a -0.2 % return per unit of risk over the last 3 months. Coursera exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Coursera's Standard Deviation of 2.87, risk adjusted performance of (0.17), and Mean Deviation of 1.98 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.52, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Coursera's returns are expected to increase less than the market. However, during the bear market, the loss of holding Coursera is expected to be smaller as well. At this point, Coursera has a negative expected return of -0.51%. Please make sure to confirm Coursera's treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Coursera performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.32 |
Below average predictability
Coursera has below average predictability. Overlapping area represents the amount of predictability between Coursera time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Coursera price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Coursera price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
Coursera technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Coursera Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Coursera volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Coursera Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Coursera on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Coursera based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Coursera price pattern first instead of the macroeconomic environment surrounding Coursera. By analyzing Coursera's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Coursera's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Coursera specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Net Debt To EBITDA | 5.03 | 9.15 | 8.24 | 8.65 | Intangibles To Total Assets | 0.0127 | 0.0264 | 0.0303 | 0.0217 |
Coursera January 26, 2026 Technical Indicators
Most technical analysis of Coursera help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Coursera from various momentum indicators to cycle indicators. When you analyze Coursera charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | (1.36) | |||
| Mean Deviation | 1.98 | |||
| Coefficient Of Variation | (410.48) | |||
| Standard Deviation | 2.87 | |||
| Variance | 8.22 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (1.37) | |||
| Maximum Drawdown | 14.34 | |||
| Value At Risk | (6.89) | |||
| Potential Upside | 2.66 | |||
| Skewness | (2.05) | |||
| Kurtosis | 5.97 |
Coursera January 26, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Coursera stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.03 | ||
| Daily Balance Of Power | 0.09 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 6.56 | ||
| Day Typical Price | 6.54 | ||
| Price Action Indicator | (0.05) | ||
| Market Facilitation Index | 0.23 |
Additional Tools for Coursera Stock Analysis
When running Coursera's price analysis, check to measure Coursera'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 Coursera is operating at the current time. Most of Coursera's value examination focuses on studying past and present price action to predict the probability of Coursera's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Coursera's price. Additionally, you may evaluate how the addition of Coursera to your portfolios can decrease your overall portfolio volatility.