Simt Dynamic Asset Fund Price History
SDYAX Fund | USD 19.08 0.20 1.06% |
Below is the normalized historical share price chart for Simt Dynamic Asset extending back to July 31, 2015. 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 Dynamic stands at 19.08, as last reported on the 13th of December 2024, with the highest price reaching 19.08 and the lowest price hitting 19.08 during the day.
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 Dynamic Asset owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the fund had a 0.21% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Simt Dynamic Asset, which you can use to evaluate the volatility of the fund. Please validate Simt Dynamic's Coefficient Of Variation of 385.5, risk adjusted performance of 0.1888, and Semi Deviation of 0.4018 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%.
Simt Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Simt |
Sharpe Ratio = 0.2138
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Estimated Market Risk
0.75 actual daily | 6 94% of assets are more volatile |
Expected Return
0.16 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
0.21 actual daily | 16 84% of assets perform better |
Based on monthly moving average Simt Dynamic is performing at about 16% 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 Simt Dynamic by adding it to a well-diversified portfolio.
Simt Dynamic Mutual Fund Price History Chart
There are several ways to analyze Simt Dynamic Asset Fund price data. The simplest method is using a basic Simt candlestick price chart, which shows Simt Dynamic 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 Price | December 11, 2024 | 19.08 |
Lowest Price | September 18, 2024 | 17.29 |
Simt Dynamic December 13, 2024 Mutual Fund Price Synopsis
Various analyses of Simt Dynamic'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 Dynamic 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 Dynamic Price Rate Of Daily Change | 1.01 | |
Simt Dynamic Price Action Indicator | 0.10 |
Simt Dynamic December 13, 2024 Mutual Fund Price Analysis
Simt Mutual Fund Price History Data
The price series of Simt Dynamic for the period between Sat, Sep 14, 2024 and Fri, Dec 13, 2024 has a statistical range of 2.27 with a coefficient of variation of 3.18. The price distribution for the period has arithmetic mean of 18.2. The median price for the last 90 days is 18.19. The company had dividends distributed to its stock-holders on 12/27/2019.Open | High | Low | Close | Volume | ||
12/13/2024 | 19.08 | 19.08 | 19.08 | 19.08 | ||
12/11/2024 | 19.08 | 19.08 | 19.08 | 19.08 | 1.00 | |
12/10/2024 | 18.88 | 18.88 | 18.88 | 18.88 | 1.00 | |
12/09/2024 | 18.92 | 18.92 | 18.92 | 18.92 | 1.00 | |
12/06/2024 | 19.01 | 19.01 | 19.01 | 19.01 | 1.00 | |
12/05/2024 | 18.97 | 18.97 | 18.97 | 18.97 | 1.00 | |
12/04/2024 | 19.03 | 19.03 | 19.03 | 19.03 | 1.00 | |
12/03/2024 | 18.94 | 18.94 | 18.94 | 18.94 | 1.00 | |
12/02/2024 | 18.91 | 18.91 | 18.91 | 18.91 | 1.00 | |
11/29/2024 | 18.87 | 18.87 | 18.87 | 18.87 | 1.00 | |
11/27/2024 | 18.77 | 18.77 | 18.77 | 18.77 | 1.00 | |
11/26/2024 | 18.88 | 18.88 | 18.88 | 18.88 | 1.00 | |
11/25/2024 | 18.79 | 18.79 | 18.79 | 18.79 | 1.00 | |
11/22/2024 | 18.82 | 18.82 | 18.82 | 18.82 | 1.00 | |
11/21/2024 | 18.76 | 18.76 | 18.76 | 18.76 | 1.00 | |
11/20/2024 | 18.64 | 18.64 | 18.64 | 18.64 | 1.00 | |
11/19/2024 | 18.61 | 18.61 | 18.61 | 18.61 | 1.00 | |
11/18/2024 | 18.56 | 18.56 | 18.56 | 18.56 | 1.00 | |
11/15/2024 | 18.47 | 18.47 | 18.47 | 18.47 | 1.00 | |
11/14/2024 | 18.69 | 18.69 | 18.69 | 18.69 | 1.00 | |
11/13/2024 | 18.85 | 18.85 | 18.85 | 18.85 | 1.00 | |
11/12/2024 | 18.82 | 18.82 | 18.82 | 18.82 | 1.00 | |
11/11/2024 | 18.83 | 18.83 | 18.83 | 18.83 | 1.00 | |
11/08/2024 | 18.81 | 18.81 | 18.81 | 18.81 | 1.00 | |
11/07/2024 | 18.75 | 18.75 | 18.75 | 18.75 | 1.00 | |
11/06/2024 | 18.64 | 18.64 | 18.64 | 18.64 | 1.00 | |
11/05/2024 | 18.01 | 18.01 | 18.01 | 18.01 | 1.00 | |
11/04/2024 | 17.83 | 17.83 | 17.83 | 17.83 | 1.00 | |
11/01/2024 | 17.92 | 17.92 | 17.92 | 17.92 | 1.00 | |
10/31/2024 | 17.81 | 17.81 | 17.81 | 17.81 | 1.00 | |
10/30/2024 | 18.16 | 18.16 | 18.16 | 18.16 | 1.00 | |
10/29/2024 | 18.25 | 18.25 | 18.25 | 18.25 | 1.00 | |
10/28/2024 | 18.20 | 18.20 | 18.20 | 18.20 | 1.00 | |
10/25/2024 | 18.16 | 18.16 | 18.16 | 18.16 | 1.00 | |
10/24/2024 | 18.16 | 18.16 | 18.16 | 18.16 | 1.00 | |
10/23/2024 | 18.16 | 18.16 | 18.16 | 18.16 | 1.00 | |
10/22/2024 | 18.35 | 18.35 | 18.35 | 18.35 | 1.00 | |
10/21/2024 | 18.35 | 18.35 | 18.35 | 18.35 | 1.00 | |
10/18/2024 | 18.30 | 18.30 | 18.30 | 18.30 | 1.00 | |
10/17/2024 | 18.24 | 18.24 | 18.24 | 18.24 | 1.00 | |
10/16/2024 | 18.19 | 18.19 | 18.19 | 18.19 | 1.00 | |
10/15/2024 | 18.13 | 18.13 | 18.13 | 18.13 | 1.00 | |
10/14/2024 | 18.32 | 18.32 | 18.32 | 18.32 | 1.00 | |
10/11/2024 | 18.17 | 18.17 | 18.17 | 18.17 | 1.00 | |
10/10/2024 | 18.06 | 18.06 | 18.06 | 18.06 | 1.00 | |
10/09/2024 | 18.03 | 18.03 | 18.03 | 18.03 | 1.00 | |
10/08/2024 | 17.89 | 17.89 | 17.89 | 17.89 | 1.00 | |
10/07/2024 | 17.72 | 17.72 | 17.72 | 17.72 | 1.00 | |
10/04/2024 | 17.85 | 17.85 | 17.85 | 17.85 | 1.00 | |
10/03/2024 | 17.65 | 17.65 | 17.65 | 17.65 | 1.00 | |
10/02/2024 | 17.67 | 17.67 | 17.67 | 17.67 | 1.00 | |
10/01/2024 | 17.63 | 17.63 | 17.63 | 17.63 | 1.00 | |
09/30/2024 | 17.80 | 17.80 | 17.80 | 17.80 | 1.00 | |
09/27/2024 | 17.69 | 17.69 | 17.69 | 17.69 | 1.00 | |
09/26/2024 | 17.71 | 17.71 | 17.71 | 17.71 | 1.00 | |
09/25/2024 | 17.67 | 17.67 | 17.67 | 17.67 | 1.00 | |
09/24/2024 | 17.68 | 17.68 | 17.68 | 17.68 | 1.00 | |
09/23/2024 | 17.64 | 17.64 | 17.64 | 17.64 | 1.00 | |
09/20/2024 | 17.58 | 17.58 | 17.58 | 17.58 | 1.00 | |
09/19/2024 | 17.62 | 17.62 | 17.62 | 17.62 | 1.00 | |
09/18/2024 | 17.29 | 17.29 | 17.29 | 17.29 | 1.00 |
About Simt Dynamic Mutual Fund history
Simt Dynamic 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 Dynamic Asset 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 Dynamic stock prices may prove useful in developing a viable investing in Simt Dynamic
The funds manager employs a dynamic investment strategy seeking to achieve, over time, a total return in excess of the broad U.S. equity market by selecting investments from among a broad range of asset classes or market exposures based upon SEI Investments Management Corporations expectations of risk and return. Asset classes or market exposures in which the fund may invest include U.S. and foreign equities and bonds, currencies, and investment exposures to various market characteristics such as interest rates or volatility.
Simt Dynamic Mutual Fund Technical Analysis
Simt Dynamic 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.
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Simt Dynamic Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Simt Dynamic'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.
Risk Adjusted Performance | 0.1888 | |||
Jensen Alpha | 0.1814 | |||
Total Risk Alpha | 0.0796 | |||
Sortino Ratio | 0.1105 | |||
Treynor Ratio | 5.41 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in Simt Mutual Fund
Simt Dynamic 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 Dynamic security.
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |