SPDR Series (Mexico) Price on June 14, 2024
| XSD Etf | MXN 4,951 0.00 0.00% |
If you're considering investing in SPDR Etf, it is important to understand the factors that can impact its price. As of today, the current price of SPDR Series stands at 4,951, as last reported on the 30th of November, with the highest price reaching 4,951 and the lowest price hitting 4,951 during the day. SPDR Series appears to be very steady, given 3 months investment horizon. SPDR Series Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the etf had a 0.13% return per unit of volatility over the last 3 months. We have found seventeen technical indicators for SPDR Series Trust, which you can use to evaluate the volatility of the etf. Please review SPDR Series' variance of 7.6, and Risk Adjusted Performance of 0.1069 to confirm if our risk estimates are consistent with your expectations.
SPDR Etf price history is provided at the adjusted basis, taking into account all of the recent filings.
SPDR |
Sharpe Ratio = 0.1303
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | XSD | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 2.76 actual daily | 24 76% of assets are more volatile |
Expected Return
| 0.36 actual daily | 7 93% of assets have higher returns |
Risk-Adjusted Return
| 0.13 actual daily | 10 90% of assets perform better |
Based on monthly moving average SPDR Series is performing at about 10% 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 SPDR Series by adding it to a well-diversified portfolio.
SPDR Series Valuation on June 14, 2024
It is possible to determine the worth of SPDR Series on a given historical date. On June 14, 2024 SPDR was worth 4390.5 at the beginning of the trading date compared to the closed value of 4390.5. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of SPDR Series etf. Still, in general, we apply an absolute valuation method to find SPDR Series' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of SPDR Series where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against SPDR Series' related companies.
| Open | High | Low | Close | Volume | |
| 4,390 | 4,390 | 4,390 | 4,390 | 1.00 | |
06/14/2024 | 4,390 | 4,390 | 4,390 | 4,390 | 1.00 |
| 4,622 | 4,622 | 4,622 | 4,622 | 600.00 |
| Backtest SPDR Series | | | SPDR Series History | | | SPDR Series Valuation | Previous | Next |
SPDR Series Trading Date Momentum on June 14, 2024
| On June 17 2024 SPDR Series Trust was traded for 4,622 at the closing time. The maximum traded price for the trading interval was 4,622 and the lowest daily price was 4,622 . The daily volume was recorded at 600. The volume of trading on 17th of June 2024 played a part in the next trading day price jump. The trading price change to the next closing price was 5.26% . The trading price change to the closing price today is 5.32% . |
SPDR Series Trust Fundamentals Correlations and Trends
By evaluating SPDR Series' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among SPDR Series' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. SPDR financial account trend analysis is a perfect complement when working with valuation or volatility modules.About SPDR Series Etf history
SPDR Series 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 SPDR is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in SPDR Series Trust 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 SPDR Series stock prices may prove useful in developing a viable investing in SPDR Series
The investment seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of an index derived from the semiconductor segment of a U.S. total market composite index. SPDR SERIES is traded on Mexico Stock Exchange in Mexico.
SPDR Series Etf Technical Analysis
SPDR Series 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.
Price Boundaries
SPDR Series Period Price Range
Low | November 30, 2024
| High |
0.00 | 0.00 |
SPDR Series Trust cannot be verified against its exchange. Please verify the symbol is currently traded on Mexican Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
SPDR Series November 30, 2024 Market Strength
Market strength indicators help investors to evaluate how SPDR Series etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SPDR Series shares will generate the highest return on investment. By undertsting and applying SPDR Series etf market strength indicators, traders can identify SPDR Series Trust entry and exit signals to maximize returns
SPDR Series Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for SPDR Series' price direction in advance. Along with the technical and fundamental analysis of SPDR Etf historical price patterns, it is also worthwhile for investors to track various predictive indicators of SPDR 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 | 0.1069 | |||
| Jensen Alpha | 0.3711 | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (2.05) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Additional Information and Resources on Investing in SPDR Etf
When determining whether SPDR Series Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SPDR Series' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Spdr Series Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Spdr Series Trust Etf:Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in SPDR Series Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.