Spdr Ssga My2032 Etf Market Value
| MYCL Etf | 25.22 0.07 0.28% |
| Symbol | SPDR |
Understanding SPDR SSGA My2032 requires distinguishing between market price and book value, where the latter reflects SPDR's accounting equity. The concept of intrinsic value - what SPDR SSGA's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push SPDR SSGA's price substantially above or below its fundamental value.
Understanding that SPDR SSGA's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether SPDR SSGA represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, SPDR SSGA's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
SPDR SSGA '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 SPDR SSGA's etf 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 SPDR SSGA.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in SPDR SSGA on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding SPDR SSGA My2032 or generate 0.0% return on investment in SPDR SSGA over 90 days. SPDR SSGA is related to or competes with SPDR SSGA, SPDR SSGA, SPDR SSGA, SPDR SSGA, SPDR SSGA, Strategy Shares, and DBX ETF. SPDR SSGA is entity of United States. It is traded as Etf on NASDAQ exchange. More
SPDR SSGA 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 SPDR SSGA's etf 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 SPDR SSGA My2032 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1691 | |||
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 0.7256 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.2834 |
SPDR SSGA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR SSGA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR SSGA's standard deviation. In reality, there are many statistical measures that can use SPDR SSGA historical prices to predict the future SPDR SSGA's volatility.| Risk Adjusted Performance | 0.1145 | |||
| Jensen Alpha | 0.0191 | |||
| Total Risk Alpha | 0.0095 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | 0.4083 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR SSGA'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.
SPDR SSGA February 16, 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 | 0.1145 | |||
| Market Risk Adjusted Performance | 0.4183 | |||
| Mean Deviation | 0.1368 | |||
| Downside Deviation | 0.1691 | |||
| Coefficient Of Variation | 533.6 | |||
| Standard Deviation | 0.1725 | |||
| Variance | 0.0298 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | 0.0191 | |||
| Total Risk Alpha | 0.0095 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | 0.4083 | |||
| Maximum Drawdown | 0.7256 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.2834 | |||
| Downside Variance | 0.0286 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.17) | |||
| Skewness | 0.1408 | |||
| Kurtosis | (0.41) |
SPDR SSGA My2032 Backtested Returns
As of now, SPDR Etf is very steady. SPDR SSGA My2032 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the etf had a 0.22 % return per unit of volatility over the last 3 months. We have found twenty-six technical indicators for SPDR SSGA My2032, which you can use to evaluate the volatility of the etf. Please validate SPDR SSGA's standard deviation of 0.1725, and Risk Adjusted Performance of 0.1145 to confirm if the risk estimate we provide is consistent with the expected return of 0.0363%. The entity has a beta of 0.0547, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR SSGA's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR SSGA is expected to be smaller as well.
Auto-correlation | 0.44 |
Average predictability
SPDR SSGA My2032 has average predictability. Overlapping area represents the amount of predictability between SPDR SSGA time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 SPDR SSGA My2032 price movement. The serial correlation of 0.44 indicates that just about 44.0% of current SPDR SSGA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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SPDR SSGA technical etf 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, etf market cycles, or different charting patterns.