Freight Technologies Stock Statistic Functions Beta
FRGT Stock | USD 1.75 0.07 4.17% |
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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Freight Technologies correlated with the market. If Beta is less than 0 Freight Technologies generally moves in the opposite direction as compared to the market. If Freight Technologies Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Freight Technologies is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Freight Technologies is generally in the same direction as the market. If Beta > 1 Freight Technologies moves generally in the same direction as, but more than the movement of the benchmark.
Freight Technologies Technical Analysis Modules
Most technical analysis of Freight Technologies 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 Freight from various momentum indicators to cycle indicators. When you analyze Freight 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 Freight Technologies 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 Freight Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Freight Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Freight Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Freight Technologies'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 Freight Technologies's intrinsic value. In addition to deriving basic predictive indicators for Freight Technologies, we also check how macroeconomic factors affect Freight Technologies 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) | Graham Number | 205.62 | 61.5 | 19.62 | 18.64 | Receivables Turnover | 5.18 | 3.77 | 2.7 | 2.42 |
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Additional Tools for Freight Stock Analysis
When running Freight Technologies' price analysis, check to measure Freight Technologies' 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 Freight Technologies is operating at the current time. Most of Freight Technologies' value examination focuses on studying past and present price action to predict the probability of Freight Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Freight Technologies' price. Additionally, you may evaluate how the addition of Freight Technologies to your portfolios can decrease your overall portfolio volatility.