Factset Research Systems Stock Overlap Studies Simple Moving Average

FDS Stock  USD 483.52  6.21  1.27%   
FactSet Research overlap studies tool provides the execution environment for running the Simple Moving Average study and other technical functions against FactSet Research. FactSet Research value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Simple Moving Average study function is designed to identify and follow existing trends. FactSet Research overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Simple Moving Average indicator is calculated by adding the closing price of FactSet Research for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out FactSet Research Systems short-term fluctuations and highlight longer-term trends or cycles.
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JavaScript chart by amCharts 3.21.15FactSet Research Systems Volume FactSet Research Systems Closing Prices Dow Jones Industrial Closing Prices - Benchmark FactSet Research Systems Simple Moving Average

FactSet Research Technical Analysis Modules

Most technical analysis of FactSet Research 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 FactSet from various momentum indicators to cycle 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.

About FactSet Research Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of FactSet Research Systems. We use our internally-developed statistical techniques to arrive at the intrinsic value of FactSet Research Systems based on widely used predictive technical indicators. In general, we focus on analyzing FactSet Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build FactSet Research's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of FactSet Research's intrinsic value. In addition to deriving basic predictive indicators for FactSet Research, we also check how macroeconomic factors affect FactSet Research price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 2024 (projected)
Dividend Yield0.0083150.0092270.006572
Price To Sales Ratio7.997.418.07
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.
Hype
Prediction
LowEstimatedHigh
474.25475.38476.51
Details
Intrinsic
Valuation
LowRealHigh
427.74501.88503.01
Details
Naive
Forecast
LowNextHigh
481.69482.82483.95
Details
21 Analysts
Consensus
LowTargetHigh
404.95445.00493.95
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards FactSet Research in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, FactSet Research's short interest history, or implied volatility extrapolated from FactSet Research options trading.

Trending Themes

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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.