Open Text Corp Stock Price Patterns
| OTEX Stock | USD 22.08 0.10 0.45% |
Momentum
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth -0.24 | EPS Estimate Next Quarter 0.9646 | EPS Estimate Current Year 4.1433 | EPS Estimate Next Year 4.4025 | Wall Street Target Price 33.0909 |
Headline activity for Open Text Corp is mapped to recent price behavior. The information reflects the current dataset of attention signals. Options positioning and short interest are used here to outline sentiment for Open Text. Positioning data reflects current market behavior and participant engagement.
Open Text Short Interest Context
The short interest view for Open Text frames how bearish positioning develops over time. The short interest series adds a positioning layer to the broader analytical picture.
200 Day MA 31.371 | Short Percent 0.064 | Short Ratio 7.86 | Shares Short Prior Month 16.5 M | 50 Day MA 26.0158 |
Open Text Corp Sentiment-to-Price Pattern
This view organizes attention signals for Open Text to support sentiment-aware analysis. This view summarizes available data without implying outcomes.
The sentiment-to-price relationship for Open Text is summarized for context. This view summarizes available data without implying outcomes.
Open Text Implied Volatility | 0.71 |
Open Text's implied volatility measures the expected magnitude of price swings, not their direction. The information is presented without directional commentary.
Hype signals for Open Text reflect how market attention changes over time. Attention metrics provide context for volatility and performance without directional claims.
Open Text after-hype prediction price | $ 21.75 |
Hype indicators are listed alongside forecasting models, technical studies, and analyst consensus. This integrated view connects headline attention with broader analytical modules.
Rule 16 Reference for the current Open contract
Under Rule 16, the annualized implied volatility for 2026-05-15 options translates to a daily move of about 0.0444%. With Open Text trading near $ 22.08, this corresponds to about $ 0.01 per day.
Use Open Text Basic Forecasting Models to cross-verify projections for Open Text.Mean reversion is the tendency of Open Text's price to return to its historical average after periods of extreme deviation. Some analysts monitor this tendency by comparing Open Text's price extremes to fundamental value.
After-Hype Price Density Analysis
The price distribution chart for Open Text visualizes the statistical uncertainty around the model's output. The distribution of Open Text's predicted prices is derived from Monte Carlo simulations calibrated to Open Text's realized volatility.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The downside and upside margins for Open Text after major news events are estimated from historical precedent. Open Text's after-hype downside and upside margins for the prediction period are 19.02 and 24.48, respectively. Signal strength depends on the consistency of Open Text's past reactions to comparable news categories.
Current Value
The after-hype framework applied to Open Text Corp assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
If Open Text's price is climbing without matching news, momentum forces may be at play. Media coverage and analyst talk on Open Text can create loops that drive prices apart from results.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.63 | 2.73 | 0.33 | 0.50 | 9 Events | 7 Events | In 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
22.08 | 21.75 | 1.49 |
|
Hype Timeline
Open Text Corp is now traded for 22.08. The company has historical hype elasticity of -0.33, and average elasticity to hype of competition of 0.5. Open is forecasted to decline in value after the next headline, with the price expected to drop to 21.75. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -1.49%, whereas the daily expected return is now at -0.63%. The volatility of related hype on Open Text is about 345.13%, with the expected price after the next announcement by competition of 22.58. About 91.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.4. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Open Text Corp has Price/Earnings To Growth (PEG) ratio of 1.02. The company had its last dividend issued on the 6th of March 2026. The firm completed a 2:1 stock split on 25th of January 2017. Given the investment horizon of 90 days the next forecasted press release will be in 9 days. Use Open Text Basic Forecasting Models to cross-verify projections for Open Text.Related Hype Analysis
The relationship between Open Text and its sector peers means news affecting one company often reverberates across Open Text's landscape. Whether the news affects the sector broadly or competitively determines if Open Text's shares move in sympathy or contrast.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| IDCC | InterDigital | 5.58 | 8 per month | 0.00 | 0.01 | 5.09 | -4.37 | 17.57 | |
| PAYC | Paycom Software | -2.92 | 9 per month | 0.00 | -0.15 | 4.29 | -4.98 | 10.78 | |
| APPF | Appfolio | 11.23 | 9 per month | 0.00 | -0.20 | 3.16 | -5.17 | 11.47 | |
| NICE | Nice Ltd ADR | -2.27 | 9 per month | 2.31 | 0.03 | 4.33 | -2.84 | 19.26 | |
| ESTC | Elastic NV | 0.36 | 10 per month | 0.00 | -0.15 | 3.79 | -7.71 | 21.62 | |
| DOX | Amdocs | -0.78 | 11 per month | 0.00 | -0.12 | 2.70 | -3.49 | 10.32 | |
| PEGA | Pegasystems | 0.14 | 10 per month | 0.00 | -0.11 | 5.03 | -7.45 | 16.88 | |
| TTAN | ServiceTitan Class A | -4.85 | 7 per month | 0.00 | -0.17 | 4.88 | -6.41 | 17.68 | |
| MANH | Manhattan Associates | 1.97 | 11 per month | 0.00 | -0.13 | 3.35 | -4.77 | 14.73 | |
| AKAM | Akamai Technologies | -0.55 | 11 per month | 2.82 | 0.17 | 4.66 | -2.99 | 24.42 |
Open Text Additional Predictive Modules
Price prediction tools for Open Text synthesize indicator signals with time-series patterns to model directional expectations. Forward estimates should be treated as probability-weighted scenarios rather than point predictions.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sentiment Indicators & Methodology
Sentiment analysis for Open Text evaluates news tone, positioning, and narrative momentum. Positioning shifts can amplify volatility changes during regime transitions. Open Text has a market cap of 5.62 B, P/E of 87.58, ROE of 10.55%.
Reported values for Open Text Corp are derived from periodic company reporting and market reference feeds and then standardized for analysis. Analyst projections are included when active coverage applies. Refresh timing depends on source availability.
This content is curated and reviewed by:
Rifka Kats - Member of Macroaxis Editorial BoardAlso Currently Popular
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