Iron Road (Australia) Statistic Functions Linear Regression Intercept

IRD Stock   0.06  0  1.64%   
Iron Road statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Iron Road. Iron Road 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 Intercept function function is designed to identify and follow existing trends. Iron Road 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.

Function
Time Period
Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression Intercept is the expected mean value of Iron Road price seriese where values of its benchmark or peer price series are zero.

Iron Road Technical Analysis Modules

Most technical analysis of Iron Road 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 Iron from various momentum indicators to cycle indicators. When you analyze Iron 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 Iron Road 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 Iron Road. We use our internally-developed statistical techniques to arrive at the intrinsic value of Iron Road based on widely used predictive technical indicators. In general, we focus on analyzing Iron Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Iron Road'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 Iron Road's intrinsic value. In addition to deriving basic predictive indicators for Iron Road, we also check how macroeconomic factors affect Iron Road price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.000.063.69
Details
Intrinsic
Valuation
LowRealHigh
0.000.053.68
Details
Naive
Forecast
LowNextHigh
00.063.69
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.060.060.07
Details

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Iron Road 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 Iron Road 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 Iron Road will appreciate offsetting losses from the drop in the long position's value.

Iron Road Pair Trading

Iron Road Pair Trading Analysis

The ability to find closely correlated positions to Iron Road could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Iron Road 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 Iron Road - 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 Iron Road to buy it.
The correlation of Iron Road 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 Iron Road moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Iron Road 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 Iron Road 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.
Pair CorrelationCorrelation Matching

Additional Tools for Iron Stock Analysis

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