Credit Suisse Floating Fund Price History

CSHIX Fund  USD 6.34  0.01  0.16%   
Below is the normalized historical share price chart for Credit Suisse Floating extending back to May 02, 2001. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Credit Suisse stands at 6.34, as last reported on the 12th of December 2024, with the highest price reaching 6.34 and the lowest price hitting 6.34 during the day.
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
If you're considering investing in Credit Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Credit Mutual Fund to be very steady. Credit Suisse Floating secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the fund had a 0.16% return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for Credit Suisse Floating, which you can use to evaluate the volatility of the entity. Please confirm Credit Suisse's risk adjusted performance of 0.0823, and Mean Deviation of 0.0877 to double-check if the risk estimate we provide is consistent with the expected return of 0.0279%.
  
Credit Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.1639

Best PortfolioBest Equity
Good Returns
Average Returns
Small Returns
CashSmall RiskAverage RiskHigh RiskHuge Risk
Negative ReturnsCSHIX

Estimated Market Risk

 0.17
  actual daily
1
99% of assets are more volatile

Expected Return

 0.03
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 0.16
  actual daily
12
88% of assets perform better
Based on monthly moving average Credit Suisse is performing at about 12% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Credit Suisse by adding it to a well-diversified portfolio.

Credit Suisse Mutual Fund Price History Chart

There are several ways to analyze Credit Suisse Floating Fund price data. The simplest method is using a basic Credit candlestick price chart, which shows Credit Suisse price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest PriceNovember 4, 20246.34
Lowest PriceSeptember 25, 20246.22

Credit Suisse December 12, 2024 Mutual Fund Price Synopsis

Various analyses of Credit Suisse's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Credit Mutual Fund. It can be used to describe the percentage change in the price of Credit Suisse from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Credit Mutual Fund.
Credit Suisse Price Rate Of Daily Change 1.00 

Credit Suisse December 12, 2024 Mutual Fund Price Analysis

When benchmark price declines in a down market, there may be an uptick in Credit Suisse Floating Fund price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Credit Suisse intraday prices and daily technical indicators to check the level of noise trading in Credit Suisse Floating Fund and then apply it to test your longer-term investment strategies against Credit.

Credit Mutual Fund Price History Data

The price series of Credit Suisse for the period between Fri, Sep 13, 2024 and Thu, Dec 12, 2024 has a statistical range of 0.12 with a coefficient of variation of 0.64. The prices are distributed with arithmetic mean of 6.29. The median price for the last 90 days is 6.28. The company issued dividends on 31st of March 2011.
OpenHighLowCloseVolume
12/12/2024
 6.34  6.34  6.34  6.34 
12/10/2024 6.34  6.34  6.34  6.34  1.00 
12/09/2024 6.34  6.34  6.34  6.34  1.00 
12/06/2024 6.34  6.34  6.34  6.34  1.00 
12/05/2024 6.34  6.34  6.34  6.34  1.00 
12/04/2024 6.33  6.33  6.33  6.33  1.00 
12/03/2024 6.34  6.34  6.34  6.34  1.00 
12/02/2024 6.34  6.34  6.34  6.34  1.00 
11/29/2024 6.34  6.34  6.34  6.34  1.00 
11/27/2024 6.34  6.34  6.34  6.34  1.00 
11/26/2024 6.34  6.34  6.34  6.34  1.00 
11/25/2024 6.34  6.34  6.34  6.34  1.00 
11/22/2024 6.34  6.34  6.34  6.34  1.00 
11/21/2024 6.34  6.34  6.34  6.34  1.00 
11/20/2024 6.33  6.33  6.33  6.33  1.00 
11/19/2024 6.33  6.33  6.33  6.33  1.00 
11/18/2024 6.33  6.33  6.33  6.33  1.00 
11/15/2024 6.31  6.31  6.31  6.31  1.00 
11/14/2024 6.31  6.31  6.31  6.31  1.00 
11/13/2024 6.31  6.31  6.31  6.31  1.00 
11/12/2024 6.31  6.31  6.31  6.31  1.00 
11/11/2024 6.31  6.31  6.31  6.31  1.00 
11/08/2024 6.31  6.31  6.31  6.31  1.00 
11/07/2024 6.31  6.31  6.31  6.31  1.00 
11/06/2024 6.30  6.30  6.30  6.30  1.00 
11/05/2024 6.30  6.30  6.30  6.30  1.00 
11/04/2024 6.34  6.34  6.34  6.34  1.00 
11/01/2024 6.31  6.31  6.31  6.31  1.00 
10/31/2024 6.31  6.31  6.31  6.31  1.00 
10/30/2024 6.27  6.27  6.27  6.27  1.00 
10/29/2024 6.28  6.28  6.28  6.28  1.00 
10/28/2024 6.28  6.28  6.28  6.28  1.00 
10/25/2024 6.28  6.28  6.28  6.28  1.00 
10/24/2024 6.28  6.28  6.28  6.28  1.00 
10/23/2024 6.28  6.28  6.28  6.28  1.00 
10/22/2024 6.28  6.28  6.28  6.28  1.00 
10/21/2024 6.28  6.28  6.28  6.28  1.00 
10/18/2024 6.29  6.29  6.29  6.29  1.00 
10/17/2024 6.28  6.28  6.28  6.28  1.00 
10/16/2024 6.28  6.28  6.28  6.28  1.00 
10/15/2024 6.28  6.28  6.28  6.28  1.00 
10/14/2024 6.28  6.28  6.28  6.28  1.00 
10/11/2024 6.27  6.27  6.27  6.27  1.00 
10/10/2024 6.27  6.27  6.27  6.27  1.00 
10/09/2024 6.27  6.27  6.27  6.27  1.00 
10/08/2024 6.27  6.27  6.27  6.27  1.00 
10/07/2024 6.27  6.27  6.27  6.27  1.00 
10/04/2024 6.27  6.27  6.27  6.27  1.00 
10/03/2024 6.26  6.26  6.26  6.26  1.00 
10/02/2024 6.26  6.26  6.26  6.26  1.00 
10/01/2024 6.27  6.27  6.27  6.27  1.00 
09/30/2024 6.26  6.26  6.26  6.26  1.00 
09/27/2024 6.22  6.22  6.22  6.22  1.00 
09/26/2024 6.22  6.22  6.22  6.22  1.00 
09/25/2024 6.22  6.22  6.22  6.22  1.00 
09/24/2024 6.23  6.23  6.23  6.23  1.00 
09/23/2024 6.23  6.23  6.23  6.23  1.00 
09/20/2024 6.23  6.23  6.23  6.23  1.00 
09/19/2024 6.23  6.23  6.23  6.23  1.00 
09/18/2024 6.23  6.23  6.23  6.23  1.00 
09/17/2024 6.23  6.23  6.23  6.23  1.00 

About Credit Suisse Mutual Fund history

Credit Suisse investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Credit is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Credit Suisse Floating will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Credit Suisse stock prices may prove useful in developing a viable investing in Credit Suisse
The fund normally invests at least 80 percent of its net assets, plus any borrowings for investment purposes, in high yield, fixed income securities . The high yield, fixed income securities in which the fund will invest for purposes of this 80 percent policy will consist entirely of senior secured floating rate loans issued by non-investment grade companies. It may invest up to 30 percent of its total assets in securities of non-U.S. issuers.

Credit Suisse Mutual Fund Technical Analysis

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.
A focus of Credit Suisse technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Credit Suisse trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Did you try this?

Run Aroon Oscillator Now

   

Aroon Oscillator

Analyze current equity momentum using Aroon Oscillator and other momentum ratios
All  Next Launch Module

Credit Suisse Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Credit Suisse's price direction in advance. Along with the technical and fundamental analysis of Credit Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Credit to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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.
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum