Factset Research Systems Stock Price Patterns
| FDS Stock | USD 207.32 1.86 0.89% |
Momentum 49
Impartial
Oversold | Overbought |
Using FactSet Research hype-based prediction, you can estimate the value of FactSet Research Systems from the perspective of FactSet Research response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in FactSet Research to buy its stock at a price that has no basis in reality. In that case, they are not buying FactSet because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
FactSet Research after-hype prediction price | USD 207.32 |
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 FactSet Research Basic Forecasting Models to cross-verify your projections. Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FactSet Research'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.
FactSet Research After-Hype Price Density Analysis
As far as predicting the price of FactSet Research at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in FactSet Research or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of FactSet Research, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FactSet Research Estimiated After-Hype Price Volatility
In the context of predicting FactSet Research's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FactSet Research's historical news coverage. FactSet Research's after-hype downside and upside margins for the prediction period are 204.63 and 210.01, respectively. We have considered FactSet Research's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
FactSet Research is very steady at this time. Analysis and calculation of next after-hype price of FactSet Research Systems is based on 3 months time horizon.
FactSet Research Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as FactSet Research is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FactSet Research backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with FactSet Research, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.36 | 2.69 | 0.00 | 0.21 | 0 Events / Month | 6 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
207.32 | 207.32 | 0.00 |
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FactSet Research Hype Timeline
On the 6th of February FactSet Research Systems is traded for 207.32. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.21. FactSet is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at -0.36%. %. The volatility of related hype on FactSet Research is about 469.46%, with the expected price after the next announcement by competition of 207.11. About 97.0% of the company shares are owned by institutional investors. The book value of FactSet Research was currently reported as 58.21. The company has Price/Earnings To Growth (PEG) ratio of 1.31. FactSet Research Systems recorded earning per share (EPS) of 15.73. The entity last dividend was issued on the 27th of February 2026. The firm had 3:2 split on the 7th of February 2005. Considering the 90-day investment horizon the next forecasted press release will be in a few days. Check out FactSet Research Basic Forecasting Models to cross-verify your projections.FactSet Research Related Hype Analysis
Having access to credible news sources related to FactSet Research's direct competition is more important than ever and may enhance your ability to predict FactSet Research's future price movements. Getting to know how FactSet Research's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how FactSet Research may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MORN | Morningstar | 0.00 | 0 per month | 0.00 | (0.26) | 1.94 | (3.26) | 12.13 | |
| SEIC | SEI Investments | (4.56) | 5 per month | 1.39 | (0) | 2.15 | (1.78) | 9.89 | |
| JEF | Jefferies Financial Group | (0.70) | 8 per month | 2.28 | 0.05 | 2.87 | (4.06) | 11.46 | |
| CMA | Comerica Incorporated | (1.91) | 6 per month | 1.27 | 0.08 | 2.60 | (2.15) | 9.13 | |
| XP | Xp Inc | (0.24) | 9 per month | 2.98 | 0.02 | 4.64 | (4.83) | 15.10 | |
| IVZ | Invesco Plc | (0.24) | 8 per month | 2.24 | 0.07 | 4.07 | (3.99) | 9.73 | |
| ORI | Old Republic International | 0.68 | 8 per month | 2.07 | 0.06 | 2.11 | (1.95) | 12.07 | |
| AIZ | Assurant | 1.13 | 8 per month | 0.72 | 0.13 | 1.73 | (1.65) | 5.46 | |
| GGAL | Grupo Financiero Galicia | 0.54 | 8 per month | 0.00 | (0.12) | 4.96 | (4.14) | 16.38 | |
| AFG | American Financial Group | (0.43) | 10 per month | 1.16 | (0.03) | 2.26 | (2.02) | 7.74 |
FactSet Research Additional Predictive Modules
Most predictive techniques to examine FactSet price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FactSet using various technical indicators. When you analyze FactSet 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 |
About FactSet Research Predictive Indicators
The successful prediction of FactSet Research stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as FactSet Research Systems, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of FactSet Research based on analysis of FactSet Research hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to FactSet Research's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to FactSet Research's related companies.
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Additional Tools for FactSet Stock Analysis
When running FactSet Research's price analysis, check to measure FactSet Research'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 FactSet Research is operating at the current time. Most of FactSet Research's value examination focuses on studying past and present price action to predict the probability of FactSet Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FactSet Research's price. Additionally, you may evaluate how the addition of FactSet Research to your portfolios can decrease your overall portfolio volatility.