Tamar Petroleum (Israel) Statistic Functions Linear Regression Slope
| TMRP Stock | 2,308 44.00 1.87% |
| Symbol |
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Slope is the rate of change in Tamar Petroleum price series over its benchmark or peer price series.
Tamar Petroleum Technical Analysis Modules
Most technical analysis of Tamar Petroleum 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 Tamar from various momentum indicators to cycle indicators. When you analyze Tamar 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 Tamar Petroleum 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 Tamar Petroleum. We use our internally-developed statistical techniques to arrive at the intrinsic value of Tamar Petroleum based on widely used predictive technical indicators. In general, we focus on analyzing Tamar Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Tamar Petroleum'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 Tamar Petroleum's intrinsic value. In addition to deriving basic predictive indicators for Tamar Petroleum, we also check how macroeconomic factors affect Tamar Petroleum price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tamar Petroleum's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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 Tamar Petroleum 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, Tamar Petroleum's short interest history, or implied volatility extrapolated from Tamar Petroleum options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Impulse Invested over 100 shares | |
 | Dividend Beast Invested over 60 shares | |
 | Macroaxis Index Invested few shares | |
 | FinTech Invested over 40 shares | |
 | Warren Buffett Holdings Invested over 40 shares | |
 | Chemicals Invested over 40 shares | |
 | Blockchain Invested few shares | |
 | Synthetics Invested over 100 shares | |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Tamar Petroleum. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Tamar Stock analysis
When running Tamar Petroleum's price analysis, check to measure Tamar Petroleum'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 Tamar Petroleum is operating at the current time. Most of Tamar Petroleum's value examination focuses on studying past and present price action to predict the probability of Tamar Petroleum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tamar Petroleum's price. Additionally, you may evaluate how the addition of Tamar Petroleum to your portfolios can decrease your overall portfolio volatility.
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |