Credit Suisse Mutual Fund Forecast - Period Momentum Indicator
| CHIAX Fund | USD 6.38 0.01 0.16% |
Credit Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Credit Suisse stock prices and determine the direction of Credit Suisse Floating's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Credit Suisse's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Credit Suisse to cross-verify your projections. Credit |
Most investors in Credit Suisse cannot accurately predict what will happen the next trading day because, historically, fund 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 Credit Suisse's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Credit Suisse's price structures and extracts relationships that further increase the generated results' accuracy.
Momentum indicator evaluates the difference between todays closing price and the close price n periods ago. It is the velocity with which the price is rising or falling. It also reflects how aggressively the asset is purchased or sold by the public.| Check Credit Suisse Volatility | Backtest Credit Suisse | Information Ratio |
Generally speaking extended values of the momentum indicator over time are good indicators of oversold or over brought conditions.
| Compare Credit Suisse to competition |
Other Forecasting Options for Credit Suisse
For every potential investor in Credit, whether a beginner or expert, Credit Suisse's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Credit Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Credit. Basic forecasting techniques help filter out the noise by identifying Credit Suisse's price trends.Credit Suisse 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 Credit Suisse mutual fund to make a market-neutral strategy. Peer analysis of Credit Suisse could also be used in its relative valuation, which is a method of valuing Credit Suisse by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Credit Suisse Floating Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Credit Suisse'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 Credit Suisse's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Credit Suisse Market Strength Events
Market strength indicators help investors to evaluate how Credit Suisse mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Credit Suisse shares will generate the highest return on investment. By undertsting and applying Credit Suisse mutual fund market strength indicators, traders can identify Credit Suisse Floating entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 6.38 | |||
| Day Typical Price | 6.38 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 63.34 |
Credit Suisse Risk Indicators
The analysis of Credit Suisse'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 Credit Suisse's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting credit mutual fund 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 | 0.0759 | |||
| Standard Deviation | 0.1607 | |||
| Variance | 0.0258 | |||
| Downside Variance | 0.0295 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.38) |
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.
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 Credit Suisse 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, Credit Suisse's short interest history, or implied volatility extrapolated from Credit Suisse options trading.
Pair Trading with Credit Suisse
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 Credit Suisse 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 Credit Suisse will appreciate offsetting losses from the drop in the long position's value.Moving together with Credit Mutual Fund
| 0.99 | CHICX | Credit Suisse Floating | PairCorr |
| 0.81 | CRSOX | Credit Suisse Modity | PairCorr |
| 0.81 | CRSCX | Credit Suisse Modity | PairCorr |
| 0.66 | CSACX | Credit Suisse Managed | PairCorr |
Moving against Credit Mutual Fund
| 0.52 | GAAGX | Gmo Alternative Allo | PairCorr |
| 0.5 | GAAKX | Gmo Alternative Allo | PairCorr |
The ability to find closely correlated positions to Credit Suisse could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Credit Suisse 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 Credit Suisse - 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 Credit Suisse Floating to buy it.
The correlation of Credit Suisse 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 Credit Suisse moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Credit Suisse Floating 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 Credit Suisse 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 Historical Fundamental Analysis of Credit Suisse to cross-verify your projections. Note that the Credit Suisse Floating information on this page should be used as a complementary analysis to other Credit Suisse's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.