Freight Technologies Stock Statistic Functions Linear Regression
| FRGT Stock | USD 1.72 0.03 1.71% |
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The output start index for this execution was fourty-one with a total number of output elements of twenty. The Linear Regression model generates relationship between price series of Freight Technologies and its peer or benchmark and helps predict Freight Technologies future price from its past values.
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 | ||
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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 | 490.53 | 347.59 | Receivables Turnover | 5.18 | 3.77 | 2.7 | 2.42 |
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Freight Technologies pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Freight Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Freight Technologies will appreciate offsetting losses from the drop in the long position's value.Freight Technologies Pair Trading
Freight Technologies Pair Trading Analysis
The ability to find closely correlated positions to Freight Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Freight Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Freight Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Freight Technologies to buy it.
The correlation of Freight Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Freight Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Freight Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Freight Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.