Simt Real Return Fund Price History

SRYRX Fund  USD 9.78  0.01  0.10%   
Below is the normalized historical share price chart for Simt Real Return extending back to December 31, 2014. 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 Simt Real stands at 9.78, as last reported on the 15th of July 2025, with the highest price reaching 9.78 and the lowest price hitting 9.78 during the day.
 
Yuan Drop
 
Covid
If you're considering investing in Simt Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Simt Mutual Fund to be very steady. Simt Real Return owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the fund had a close to zero % return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Simt Real Return, which you can use to evaluate the volatility of the fund. Please validate Simt Real's Coefficient Of Variation of (16,729), variance of 0.0481, and Risk Adjusted Performance of (0.06) to confirm if the risk estimate we provide is consistent with the expected return of 2.0E-4%.
  
Simt Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.001

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

Estimated Market Risk

 0.21
  actual daily
1
99% of assets are more volatile

Expected Return

 0.0
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 0.0
  actual daily
0
Most of other assets perform better
Based on monthly moving average Simt Real is not performing at its full potential. However, 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 Simt Real by adding Simt Real to a well-diversified portfolio.

Simt Real Mutual Fund Price History Chart

There are several ways to analyze Simt Real Return Fund price data. The simplest method is using a basic Simt candlestick price chart, which shows Simt Real 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 PriceJuly 14, 20259.79
Lowest PriceApril 16, 20259.66

Simt Real July 15, 2025 Mutual Fund Price Synopsis

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

Simt Real July 15, 2025 Mutual Fund Price Analysis

When benchmark price declines in a down market, there may be an uptick in Simt Real Return 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 Simt Real intraday prices and daily technical indicators to check the level of noise trading in Simt Real Return Fund and then apply it to test your longer-term investment strategies against Simt.

Simt Mutual Fund Price History Data

The price series of Simt Real for the period between Wed, Apr 16, 2025 and Tue, Jul 15, 2025 has a statistical range of 0.16 with a coefficient of variation of 0.38. The price distribution for the period has arithmetic mean of 9.83. The median price for the last 90 days is 9.82. The company had dividends distributed to its stock-holders on 4th of October 2021.
OpenHighLowCloseVolume
07/15/2025
 9.78  9.78  9.78  9.78  1.00 
07/14/2025
 9.79  9.79  9.79  9.79  1.00 
07/11/2025
 9.78  9.78  9.78  9.78  1.00 
07/10/2025
 9.78  9.78  9.78  9.78  1.00 
07/09/2025
 9.78  9.78  9.78  9.78  1.00 
07/08/2025
 9.77  9.77  9.77  9.77  1.00 
07/07/2025
 9.77  9.77  9.77  9.77  1.00 
07/03/2025
 9.75  9.75  9.75  9.75  1.00 
07/02/2025
 9.77  9.77  9.77  9.77  1.00 
07/01/2025
 9.76  9.76  9.76  9.76  1.00 
06/30/2025
 9.77  9.77  9.77  9.77  1.00 
06/27/2025
 9.76  9.76  9.76  9.76  1.00 
06/26/2025
 9.77  9.77  9.77  9.77  1.00 
06/25/2025
 9.75  9.75  9.75  9.75  1.00 
06/24/2025
 9.74  9.74  9.74  9.74  1.00 
06/23/2025
 9.74  9.74  9.74  9.74  1.00 
06/20/2025
 9.73  9.73  9.73  9.73  1.00 
06/18/2025
 9.71  9.71  9.71  9.71  1.00 
06/17/2025
 9.71  9.71  9.71  9.71  1.00 
06/16/2025
 9.69  9.69  9.69  9.69  1.00 
06/13/2025
 9.69  9.69  9.69  9.69  1.00 
06/12/2025
 9.69  9.69  9.69  9.69  1.00 
06/11/2025
 9.68  9.68  9.68  9.68  1.00 
06/10/2025
 9.68  9.68  9.68  9.68  1.00 
06/09/2025
 9.68  9.68  9.68  9.68  1.00 
06/06/2025
 9.68  9.68  9.68  9.68  1.00 
06/05/2025
 9.69  9.69  9.69  9.69  1.00 
06/04/2025
 9.71  9.71  9.71  9.71  1.00 
06/03/2025
 9.70  9.70  9.70  9.70  1.00 
06/02/2025
 9.71  9.71  9.71  9.71  1.00 
05/30/2025
 9.72  9.72  9.72  9.72  1.00 
05/29/2025
 9.70  9.70  9.70  9.70  1.00 
05/28/2025
 9.69  9.69  9.69  9.69  1.00 
05/27/2025
 9.70  9.70  9.70  9.70  1.00 
05/23/2025
 9.70  9.70  9.70  9.70  1.00 
05/22/2025
 9.69  9.69  9.69  9.69  1.00 
05/21/2025
 9.68  9.68  9.68  9.68  1.00 
05/20/2025
 9.69  9.69  9.69  9.69  1.00 
05/19/2025
 9.69  9.69  9.69  9.69  1.00 
05/16/2025
 9.68  9.68  9.68  9.68  1.00 
05/15/2025
 9.68  9.68  9.68  9.68  1.00 
05/14/2025
 9.67  9.67  9.67  9.67  1.00 
05/13/2025
 9.67  9.67  9.67  9.67  1.00 
05/12/2025
 9.66  9.66  9.66  9.66  1.00 
05/09/2025
 9.71  9.71  9.71  9.71  1.00 
05/08/2025
 9.71  9.71  9.71  9.71  1.00 
05/07/2025
 9.72  9.72  9.72  9.72  1.00 
05/06/2025
 9.72  9.72  9.72  9.72  1.00 
05/05/2025
 9.70  9.70  9.70  9.70  1.00 
05/02/2025
 9.70  9.70  9.70  9.70  1.00 
05/01/2025
 9.74  9.74  9.74  9.74  1.00 
04/30/2025
 9.76  9.76  9.76  9.76  1.00 
04/29/2025
 9.75  9.75  9.75  9.75  1.00 
04/28/2025
 9.74  9.74  9.74  9.74  1.00 
04/25/2025
 9.72  9.72  9.72  9.72  1.00 
04/24/2025
 9.71  9.71  9.71  9.71  1.00 
04/23/2025
 9.68  9.68  9.68  9.68  1.00 
04/22/2025
 9.68  9.68  9.68  9.68  1.00 
04/21/2025
 9.68  9.68  9.68  9.68  1.00 
04/17/2025
 9.68  9.68  9.68  9.68  1.00 
04/16/2025
 9.66  9.66  9.66  9.66  1.00 

About Simt Real Mutual Fund history

Simt Real 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 Simt is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Simt Real Return 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 Simt Real stock prices may prove useful in developing a viable investing in Simt Real
Under normal circumstances, the fund will invest a significant portion of its assets in investment grade fixed income securities, including inflation-indexed bonds of varying maturities issued by the U.S. Treasury, other U.S. government agencies and instrumentalities. It seeks to produce a return similar to that of the Bloomberg 1-5 Year U.S. Treasury Inflation-Protected Securities Index, which is the funds benchmark index.

Simt Real Mutual Fund Technical Analysis

Simt Real 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 Simt Real technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Simt Real 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 Funds Screener Now

   

Funds Screener

Find actively-traded funds from around the world traded on over 30 global exchanges
All  Next Launch Module

Simt Real Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Simt Real's price direction in advance. Along with the technical and fundamental analysis of Simt Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Simt 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 Simt Mutual Fund

Simt Real financial ratios help investors to determine whether Simt 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 Simt with respect to the benefits of owning Simt Real security.
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios