GULFOILLUB Technical Analysis

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GULFOILLUB -- India Stock  

INR 575.80  3.30  0.57%

As of the 5th of July, GULF OIL retains the market risk adjusted performance of (1.53), and risk adjusted performance of (0.11). GULF OIL technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Simply put, you can use this information to find out if the firm will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to analyze nineteen technical drivers for GULF OIL LUBRICANT, which can be compared to its competitors. Please check out GULF OIL LUBRICANT downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if GULF OIL is priced correctly, providing market reflects its last-minute price of 575.8 per share.

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GULF OIL technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of GULF OIL technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of GULF OIL trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

GULF OIL LUBRICANT Technical Analysis

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The output start index for this execution was twenty with a total number of output elements of fourty-one. The Normalized Average True Range is used to analyze tradable apportunities for GULF OIL LUBRICANT across different markets. View also all equity analysis or get more info about normalized average true range volatility indicators indicator.


Use this graph to draw trend lines for GULF OIL LUBRICANT. You can use it to identify possible trend reversals for GULF OIL as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual GULF OIL price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

GULF OIL Best Fit Change Line

The following chart estimates an ordinary least squares regression model for GULF OIL LUBRICANT applied against its price change over selected period. The best fit line has a slop of   1.46  , which means GULF OIL LUBRICANT will continue generating value for investors. It has 122 observation points and a regression sum of squares at 80739.8, which is the sum of squared deviations for the predicted GULF OIL price change compared to its average price change.

About GULF OIL Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of GULF OIL LUBRICANT on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of GULF OIL LUBRICANT based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on GULF OIL LUBRICANT stock first instead of the macroeconomic environment surrounding GULF OIL LUBRICANT . By analyzing GULF OIL's financials, daily price indicators, and its related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of GULF OIL's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to GULF OIL specific price patterns or momentum indicators. Please read more on our technical analysis page.

GULF OIL July 5, 2020 Technical Indicators

Most technical analysis of GULFOILLUB stock 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 GULFOILLUB from various momentum indicators to cycle indicators. When you analyze GULFOILLUB charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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
Risk Adjusted Performance(0.11)
Market Risk Adjusted Performance(1.53)
Mean Deviation2.3
Coefficient Of Variation(1,649)
Standard Deviation3.73
Information Ratio(0.12)
Jensen Alpha(0.27)
Total Risk Alpha(0.66)
Treynor Ratio(1.54)
Maximum Drawdown21.22
Value At Risk(7.20)
Potential Upside4.65

GULF OIL July 5, 2020 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as GULFOILLUB stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution  441.92  
Daily Balance Of Power (0.18)  
Rate Of Daily Change  0.99  
Day Median Price  579.95  
Day Typical Price  578.57  
Price Action Indicator (5.80)  
Market Facilitation Index  0.001231  
Please check Risk vs Return Analysis. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
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