ZW Data Stock Forecast - Price Action Indicator
| CNET Stock | USD 0.87 0.02 2.34% |
CNET Stock Forecast is based on your current time horizon.
CNET |
Most investors in ZW Data cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the ZW Data's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets ZW Data's price structures and extracts relationships that further increase the generated results' accuracy.
Price Action indicator evaluates an asset for a given trading period using the following formula: ((close - open) + (close - high) + (close - low)) / 2. This indicator is consistent with the interpretation of Japanese candlestick patterns.| Previous Price Action Indicator | Price Action Indicator | Trend |
| 0.03 | 0.0398 |
| Check ZW Data Volatility | Backtest ZW Data | Information Ratio |
ZW Data Trading Date Momentum
| On June 10 2024 ZW Data Action was traded for 0.87 at the closing time. The top price for the day was 0.87 and the lowest listed price was 0.81 . There was no trading activity during the period 0.0. Lack of trading volume on June 10, 2024 had no short-term effect on price fluctuation. The trading date delta against the current closing price is 2.29% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
| Compare ZW Data to competition |
Other Forecasting Options for ZW Data
For every potential investor in CNET, whether a beginner or expert, ZW Data's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CNET Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CNET. Basic forecasting techniques help filter out the noise by identifying ZW Data's price trends.ZW Data 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 ZW Data stock to make a market-neutral strategy. Peer analysis of ZW Data could also be used in its relative valuation, which is a method of valuing ZW Data by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ZW Data Action Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of ZW Data's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of ZW Data's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ZW Data Market Strength Events
Market strength indicators help investors to evaluate how ZW Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ZW Data shares will generate the highest return on investment. By undertsting and applying ZW Data stock market strength indicators, traders can identify ZW Data Action entry and exit signals to maximize returns.
ZW Data Risk Indicators
The analysis of ZW Data's 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 ZW Data's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cnet 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 | 3.24 | |||
| Semi Deviation | 3.96 | |||
| Standard Deviation | 4.31 | |||
| Variance | 18.57 | |||
| Downside Variance | 20.01 | |||
| Semi Variance | 15.68 | |||
| Expected Short fall | (3.82) |
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 ZW Data
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 ZW Data 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 ZW Data will appreciate offsetting losses from the drop in the long position's value.Moving against CNET Stock
| 0.83 | SE | Sea | PairCorr |
| 0.81 | STGW | Stagwell | PairCorr |
| 0.74 | GCI | Gannett | PairCorr |
| 0.74 | WOW | WideOpenWest | PairCorr |
| 0.71 | CRTO | Criteo Sa | PairCorr |
The ability to find closely correlated positions to ZW Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ZW Data 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 ZW Data - 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 ZW Data Action to buy it.
The correlation of ZW Data 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 ZW Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ZW Data Action 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 ZW Data 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 CNET Stock Analysis
When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.