Ptc Therapeutics Stock Overlap Studies Bollinger Bands
| PTCT Stock | USD 43.23 0.34 0.79% |
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The output start index for this execution was eleven with a total number of output elements of fifty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. PTC Therapeutics middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for PTC Therapeutics. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
PTC Therapeutics Technical Analysis Modules
Most technical analysis of PTC Therapeutics 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 PTC from various momentum indicators to cycle indicators. When you analyze PTC 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 | ||
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About PTC Therapeutics 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 PTC Therapeutics. We use our internally-developed statistical techniques to arrive at the intrinsic value of PTC Therapeutics based on widely used predictive technical indicators. In general, we focus on analyzing PTC Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build PTC Therapeutics's daily price indicators and compare them against related drivers, such as overlap studies 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 PTC Therapeutics's intrinsic value. In addition to deriving basic predictive indicators for PTC Therapeutics, we also check how macroeconomic factors affect PTC Therapeutics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 (projected) | Graham Number | 1.85 | 29.13 | 45.39 | Receivables Turnover | 4.88 | 4.49 | 5.82 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PTC Therapeutics' 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.
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PTC Therapeutics 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 PTC Therapeutics 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 PTC Therapeutics will appreciate offsetting losses from the drop in the long position's value.PTC Therapeutics Pair Trading
PTC Therapeutics Pair Trading Analysis
The ability to find closely correlated positions to PTC Therapeutics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PTC Therapeutics 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 PTC Therapeutics - 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 PTC Therapeutics to buy it.
The correlation of PTC Therapeutics 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 PTC Therapeutics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PTC Therapeutics 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 PTC Therapeutics 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.Additional Tools for PTC Stock Analysis
When running PTC Therapeutics' price analysis, check to measure PTC Therapeutics' 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 PTC Therapeutics is operating at the current time. Most of PTC Therapeutics' value examination focuses on studying past and present price action to predict the probability of PTC Therapeutics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PTC Therapeutics' price. Additionally, you may evaluate how the addition of PTC Therapeutics to your portfolios can decrease your overall portfolio volatility.