Plus500 Stock Technical Analysis
| PLSQF Stock | USD 32.69 0.00 0.00% |
As of the 24th of November, Plus500 holds the Variance of 0.8193, coefficient of variation of 1633.0, and Risk Adjusted Performance of 0.0485. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Plus500, as well as the relationship between them. Please check Plus500 market risk adjusted performance and total risk alpha to decide if Plus500 is priced some-what accurately, providing market reflects its current price of 32.69 per share. Given that Plus500 has variance of 0.8193, we recommend you to check out Plus500's recent market performance to make sure the company can sustain itself at a future point.
Plus500 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Plus500, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Plus500Plus500 |
Plus500 technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Plus500 Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Plus500 volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Plus500 Trend Analysis
Use this graph to draw trend lines for Plus500. You can use it to identify possible trend reversals for Plus500 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 Plus500 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Plus500 Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Plus500 applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Plus500 market price will keep on failing further. It has 122 observation points and a regression sum of squares at 17.48, which is the sum of squared deviations for the predicted Plus500 price change compared to its average price change.About Plus500 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 Plus500 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 Plus500 based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Plus500 price pattern first instead of the macroeconomic environment surrounding Plus500. By analyzing Plus500's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Plus500'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 Plus500 specific price patterns or momentum indicators. Please read more on our technical analysis page.
Plus500 November 24, 2024 Technical Indicators
Most technical analysis of Plus500 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 Plus500 from various momentum indicators to cycle indicators. When you analyze Plus500 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 | 0.0485 | |||
| Market Risk Adjusted Performance | 0.6332 | |||
| Mean Deviation | 0.2028 | |||
| Coefficient Of Variation | 1633.0 | |||
| Standard Deviation | 0.9051 | |||
| Variance | 0.8193 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | 0.0366 | |||
| Total Risk Alpha | (0.1) | |||
| Treynor Ratio | 0.6232 | |||
| Maximum Drawdown | 9.54 | |||
| Skewness | 5.41 | |||
| Kurtosis | 45.23 |
Complementary Tools for Plus500 Pink Sheet analysis
When running Plus500's price analysis, check to measure Plus500'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 Plus500 is operating at the current time. Most of Plus500's value examination focuses on studying past and present price action to predict the probability of Plus500's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Plus500's price. Additionally, you may evaluate how the addition of Plus500 to your portfolios can decrease your overall portfolio volatility.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |