Transport (India) Statistic Functions Linear Regression

TCI Stock   1,061  16.85  1.56%   
Transport statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Transport. Transport 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 function function is designed to identify and follow existing trends. Transport 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 model generates relationship between price series of Transport and its peer or benchmark and helps predict Transport future price from its past values.

Transport Technical Analysis Modules

Most technical analysis of Transport 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 Transport from various momentum indicators to cycle indicators. When you analyze Transport 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 Transport 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 Transport of. We use our internally-developed statistical techniques to arrive at the intrinsic value of Transport of based on widely used predictive technical indicators. In general, we focus on analyzing Transport Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Transport'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 Transport's intrinsic value. In addition to deriving basic predictive indicators for Transport, we also check how macroeconomic factors affect Transport price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,0581,0611,063
Details
Intrinsic
Valuation
LowRealHigh
804.34806.631,167
Details
Naive
Forecast
LowNextHigh
957.14959.43961.72
Details
Earnings
Estimates (0)
LowProjected EPSHigh
8.539.5110.22
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 Transport 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, Transport's short interest history, or implied volatility extrapolated from Transport options trading.

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Other Information on Investing in Transport Stock

Transport financial ratios help investors to determine whether Transport Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Transport with respect to the benefits of owning Transport security.