Credit Suisse Floating Fund Technical Analysis
| CSHIX Fund | USD 6.05 0.01 0.17% |
As of the 5th of February, Credit Suisse shows the risk adjusted performance of (0.04), and Mean Deviation of 0.0748. Credit Suisse Floating technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Credit Suisse Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Credit, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CreditCredit |
Credit Suisse 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Credit Suisse's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Credit Suisse.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Credit Suisse on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Credit Suisse Floating or generate 0.0% return on investment in Credit Suisse over 90 days. Credit Suisse is related to or competes with Palm Valley, Ab Small, William Blair, Pace Small/medium, Lord Abbett, Foundry Partners, and Heartland Value. The fund normally invests at least 80 percent of its net assets, plus any borrowings for investment purposes, in high yi... More
Credit Suisse Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Credit Suisse's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Credit Suisse Floating upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1697 | |||
| Information Ratio | (0.41) | |||
| Maximum Drawdown | 0.8259 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.1647 |
Credit Suisse Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Credit Suisse's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Credit Suisse's standard deviation. In reality, there are many statistical measures that can use Credit Suisse historical prices to predict the future Credit Suisse's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | (0.72) |
Credit Suisse February 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.71) | |||
| Mean Deviation | 0.0748 | |||
| Semi Deviation | 0.0826 | |||
| Downside Deviation | 0.1697 | |||
| Coefficient Of Variation | 128871.87 | |||
| Standard Deviation | 0.158 | |||
| Variance | 0.025 | |||
| Information Ratio | (0.41) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | (0.72) | |||
| Maximum Drawdown | 0.8259 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.1647 | |||
| Downside Variance | 0.0288 | |||
| Semi Variance | 0.0068 | |||
| Expected Short fall | (0.35) | |||
| Skewness | 2.59 | |||
| Kurtosis | 9.03 |
Credit Suisse Floating Backtested Returns
Credit Suisse Floating secures Sharpe Ratio (or Efficiency) of -0.077, which signifies that the fund had a -0.077 % return per unit of standard deviation over the last 3 months. Credit Suisse Floating exposes twenty-six different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Credit Suisse's mean deviation of 0.0748, and Risk Adjusted Performance of (0.04) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0137, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Credit Suisse's returns are expected to increase less than the market. However, during the bear market, the loss of holding Credit Suisse is expected to be smaller as well.
Auto-correlation | -0.22 |
Weak reverse predictability
Credit Suisse Floating has weak reverse predictability. Overlapping area represents the amount of predictability between Credit Suisse time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Credit Suisse Floating price movement. The serial correlation of -0.22 indicates that over 22.0% of current Credit Suisse price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Credit Suisse technical mutual fund 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, fund market cycles, or different charting patterns.
Credit Suisse Floating Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Credit Suisse Floating volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Credit Suisse 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 Credit Suisse Floating 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 Credit Suisse Floating based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Credit Suisse Floating price pattern first instead of the macroeconomic environment surrounding Credit Suisse Floating. By analyzing Credit Suisse'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 Credit Suisse'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 Credit Suisse specific price patterns or momentum indicators. Please read more on our technical analysis page.
Credit Suisse February 5, 2026 Technical Indicators
Most technical analysis of Credit 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 Credit from various momentum indicators to cycle indicators. When you analyze Credit 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.71) | |||
| Mean Deviation | 0.0748 | |||
| Semi Deviation | 0.0826 | |||
| Downside Deviation | 0.1697 | |||
| Coefficient Of Variation | 128871.87 | |||
| Standard Deviation | 0.158 | |||
| Variance | 0.025 | |||
| Information Ratio | (0.41) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | (0.72) | |||
| Maximum Drawdown | 0.8259 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.1647 | |||
| Downside Variance | 0.0288 | |||
| Semi Variance | 0.0068 | |||
| Expected Short fall | (0.35) | |||
| Skewness | 2.59 | |||
| Kurtosis | 9.03 |
Credit Suisse February 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Credit stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 6.05 | ||
| Day Typical Price | 6.05 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Credit Mutual Fund
Credit Suisse financial ratios help investors to determine whether Credit Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Credit with respect to the benefits of owning Credit Suisse security.
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