EVO Payments Stock Forecast - Day Typical Price
| EVOPDelisted Stock | USD 33.99 0.00 0.00% |
EVO Stock Forecast is based on your current time horizon.
EVO |
| Previous Day Typical Price | Day Typical Price | Trend |
| 33.99 | 33.99 |
| Check EVO Payments Volatility | Backtest EVO Payments | Information Ratio |
EVO Payments Trading Date Momentum
| On November 23 2024 EVO Payments was traded for 33.99 at the closing time. The top price for the day was 33.99 and the lowest listed price was 33.99 . There was no trading activity during the period 0.0. Lack of trading volume on November 23, 2024 did not affect price variability. The overall trading delta against the current closing price is 0.00% . |
The period considered in calculating typical price is a single trading day, however the typical price can also be applied to other time spans such as a week, month or year.
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EVO Payments Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with EVO Payments stock to make a market-neutral strategy. Peer analysis of EVO Payments could also be used in its relative valuation, which is a method of valuing EVO Payments by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
EVO Payments Market Strength Events
Market strength indicators help investors to evaluate how EVO Payments stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading EVO Payments shares will generate the highest return on investment. By undertsting and applying EVO Payments stock market strength indicators, traders can identify EVO Payments entry and exit signals to maximize returns.
EVO Payments Risk Indicators
The analysis of EVO Payments' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in EVO Payments' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting evo stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.0697 | |||
| Standard Deviation | 0.1041 | |||
| Variance | 0.0108 | |||
| Downside Variance | 0.0089 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.10) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with EVO Payments
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 EVO Payments 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 EVO Payments will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to EVO Payments could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EVO Payments 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 EVO Payments - 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 EVO Payments to buy it.
The correlation of EVO Payments 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 EVO Payments moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EVO Payments 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 EVO Payments 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.Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Consideration for investing in EVO Stock
If you are still planning to invest in EVO Payments check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the EVO Payments' history and understand the potential risks before investing.
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