Gcm Grosvenor Stock Statistic Functions Linear Regression Angle

GCMGW Stock  USD 1.19  0.09  8.18%   
GCM Grosvenor statistic functions tool provides the execution environment for running the Linear Regression Angle function and other technical functions against GCM Grosvenor. GCM Grosvenor 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Angle function function is designed to identify and follow existing trends. GCM Grosvenor statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Angle indicator plots the angel of the trend line for each GCM Grosvenor data point.

GCM Grosvenor Technical Analysis Modules

Most technical analysis of GCM Grosvenor 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 GCM from various momentum indicators to cycle indicators. When you analyze GCM 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 GCM Grosvenor 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 GCM Grosvenor. We use our internally-developed statistical techniques to arrive at the intrinsic value of GCM Grosvenor based on widely used predictive technical indicators. In general, we focus on analyzing GCM Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GCM Grosvenor's daily price indicators and compare them against related drivers, such as statistic functions 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 GCM Grosvenor's intrinsic value. In addition to deriving basic predictive indicators for GCM Grosvenor, we also check how macroeconomic factors affect GCM Grosvenor price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.03160.05520.05250.0499
Price To Sales Ratio0.860.750.871.07
Hype
Prediction
LowEstimatedHigh
0.061.179.50
Details
Intrinsic
Valuation
LowRealHigh
0.040.759.08
Details
Naive
Forecast
LowNextHigh
0.021.199.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.081.161.24
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as GCM Grosvenor. Your research has to be compared to or analyzed against GCM Grosvenor's peers to derive any actionable benefits. When done correctly, GCM Grosvenor'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 GCM Grosvenor.
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 GCM Grosvenor 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, GCM Grosvenor's short interest history, or implied volatility extrapolated from GCM Grosvenor options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Gambling Idea
Gambling
Invested over 90 shares
Macroaxis Index Idea
Macroaxis Index
Invested few shares
FinTech Idea
FinTech
Invested over 60 shares
Impulse Idea
Impulse
Invested over 100 shares
Banking Idea
Banking
Invested over 20 shares
SRI Sustainable Growth Idea
SRI Sustainable Growth
Invested few shares
Momentum Idea
Momentum
Invested few shares
Dividend Beast Idea
Dividend Beast
Invested over 50 shares
Macroaxis Picks Idea
Macroaxis Picks
Invested over 30 shares
Investor Favorites Idea
Investor Favorites
Invested over 60 shares
ESG Investing Idea
ESG Investing
Invested few shares

Additional Tools for GCM Stock Analysis

When running GCM Grosvenor's price analysis, check to measure GCM Grosvenor'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 GCM Grosvenor is operating at the current time. Most of GCM Grosvenor's value examination focuses on studying past and present price action to predict the probability of GCM Grosvenor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GCM Grosvenor's price. Additionally, you may evaluate how the addition of GCM Grosvenor to your portfolios can decrease your overall portfolio volatility.