Simt Multi Asset Capital Fund Technical Analysis
| SMLYX Fund | USD 10.26 0.01 0.1% |
As of the 5th of March, Simt Multi-asset has the Downside Deviation of 0.2691, risk adjusted performance of 0.1001, and Standard Deviation of 0.1924. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simt Multi Asset, as well as the relationship between them.
Simt Multi-asset Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Simt, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimtSimt |
Simt Multi-asset '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 Simt Multi-asset'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 Simt Multi-asset.
| 12/05/2025 |
| 03/05/2026 |
If you would invest 0.00 in Simt Multi-asset on December 5, 2025 and sell it all today you would earn a total of 0.00 from holding Simt Multi Asset Capital or generate 0.0% return on investment in Simt Multi-asset over 90 days. Simt Multi-asset is related to or competes with Simt Multi, Saat Market, Simt Real, Simt Small, Siit Screened, Saat Aggressive, and Saat Aggressive. The advisor will attempt to manage the risk of loss while still seeking to generate some growth by selecting investments... More
Simt Multi-asset 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 Simt Multi-asset'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 Simt Multi Asset Capital upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2691 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 1.39 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.1976 |
Simt Multi-asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simt Multi-asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simt Multi-asset's standard deviation. In reality, there are many statistical measures that can use Simt Multi-asset historical prices to predict the future Simt Multi-asset's volatility.| Risk Adjusted Performance | 0.1001 | |||
| Jensen Alpha | 0.0243 | |||
| Total Risk Alpha | 0.0143 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.66) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simt Multi-asset's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Simt Multi-asset March 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 | 0.1001 | |||
| Market Risk Adjusted Performance | (0.65) | |||
| Mean Deviation | 0.1259 | |||
| Downside Deviation | 0.2691 | |||
| Coefficient Of Variation | 581.83 | |||
| Standard Deviation | 0.1924 | |||
| Variance | 0.037 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | 0.0243 | |||
| Total Risk Alpha | 0.0143 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.66) | |||
| Maximum Drawdown | 1.39 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.1976 | |||
| Downside Variance | 0.0724 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.16) | |||
| Skewness | 0.5519 | |||
| Kurtosis | 7.06 |
Simt Multi Asset Backtested Returns
At this stage we consider Simt Mutual Fund to be very steady. Simt Multi Asset owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the fund had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Simt Multi Asset Capital, which you can use to evaluate the volatility of the fund. Please validate Simt Multi-asset's Standard Deviation of 0.1924, risk adjusted performance of 0.1001, and Downside Deviation of 0.2691 to confirm if the risk estimate we provide is consistent with the expected return of 0.0347%. The entity has a beta of -0.0348, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Simt Multi-asset are expected to decrease at a much lower rate. During the bear market, Simt Multi-asset is likely to outperform the market.
Auto-correlation | 0.79 |
Good predictability
Simt Multi Asset Capital has good predictability. Overlapping area represents the amount of predictability between Simt Multi-asset time series from 5th of December 2025 to 19th of January 2026 and 19th of January 2026 to 5th of March 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 Simt Multi Asset price movement. The serial correlation of 0.79 indicates that around 79.0% of current Simt Multi-asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Simt Multi-asset 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.
Simt Multi Asset Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Simt Multi Asset across different markets.
About Simt Multi-asset 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 Simt Multi Asset Capital 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 Simt Multi Asset Capital based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Simt Multi Asset price pattern first instead of the macroeconomic environment surrounding Simt Multi Asset. By analyzing Simt Multi-asset'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 Simt Multi-asset'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 Simt Multi-asset specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simt Multi-asset March 5, 2026 Technical Indicators
Most technical analysis of Simt 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 Simt from various momentum indicators to cycle indicators. When you analyze Simt 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 | 0.1001 | |||
| Market Risk Adjusted Performance | (0.65) | |||
| Mean Deviation | 0.1259 | |||
| Downside Deviation | 0.2691 | |||
| Coefficient Of Variation | 581.83 | |||
| Standard Deviation | 0.1924 | |||
| Variance | 0.037 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | 0.0243 | |||
| Total Risk Alpha | 0.0143 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.66) | |||
| Maximum Drawdown | 1.39 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.1976 | |||
| Downside Variance | 0.0724 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.16) | |||
| Skewness | 0.5519 | |||
| Kurtosis | 7.06 |
Simt Multi-asset March 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 Simt 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 | 10.26 | ||
| Day Typical Price | 10.26 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Simt Mutual Fund
Simt Multi-asset 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 Multi-asset security.
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