Series Portfolios Trust Etf Market Value
| BNDS Etf | USD 51.39 0.01 0.02% |
| Symbol | Series |
The market value of Series Portfolios Trust is measured differently than its book value, which is the value of Series that is recorded on the company's balance sheet. Investors also form their own opinion of Series Portfolios' value that differs from its market value or its book value, called intrinsic value, which is Series Portfolios' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Series Portfolios' market value can be influenced by many factors that don't directly affect Series Portfolios' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Series Portfolios' value and its price as these two are different measures arrived at by different means. Investors typically determine if Series Portfolios is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Series Portfolios' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Series Portfolios '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 Series Portfolios' 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 Series Portfolios.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Series Portfolios on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Series Portfolios Trust or generate 0.0% return on investment in Series Portfolios over 90 days. Series Portfolios is related to or competes with MFS Active, First Trust, Vanguard Intermediate, Vanguard Long, Vanguard Short, Northern Lights, and IDX Dynamic. Series Portfolios is entity of United States More
Series Portfolios 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 Series Portfolios' 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 Series Portfolios Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1779 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 0.8839 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.3148 |
Series Portfolios Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Series Portfolios' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Series Portfolios' standard deviation. In reality, there are many statistical measures that can use Series Portfolios historical prices to predict the future Series Portfolios' volatility.| Risk Adjusted Performance | 0.1781 | |||
| Jensen Alpha | 0.0347 | |||
| Total Risk Alpha | 0.0251 | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.3766 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Series Portfolios' 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.
Series Portfolios January 24, 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 | 0.1781 | |||
| Market Risk Adjusted Performance | 0.3866 | |||
| Mean Deviation | 0.1474 | |||
| Downside Deviation | 0.1779 | |||
| Coefficient Of Variation | 352.35 | |||
| Standard Deviation | 0.1845 | |||
| Variance | 0.0341 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | 0.0347 | |||
| Total Risk Alpha | 0.0251 | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.3766 | |||
| Maximum Drawdown | 0.8839 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.3148 | |||
| Downside Variance | 0.0316 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.18) | |||
| Skewness | (0.17) | |||
| Kurtosis | (0.19) |
Series Portfolios Trust Backtested Returns
Currently, Series Portfolios Trust is very steady. Series Portfolios Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.28, which indicates the etf had a 0.28 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Series Portfolios Trust, which you can use to evaluate the volatility of the etf. Please validate Series Portfolios' Risk Adjusted Performance of 0.1781, downside deviation of 0.1779, and Standard Deviation of 0.1845 to confirm if the risk estimate we provide is consistent with the expected return of 0.0524%. The entity has a beta of 0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Series Portfolios' returns are expected to increase less than the market. However, during the bear market, the loss of holding Series Portfolios is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
Series Portfolios Trust has very good predictability. Overlapping area represents the amount of predictability between Series Portfolios time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th of January 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 Series Portfolios Trust price movement. The serial correlation of 0.83 indicates that around 83.0% of current Series Portfolios price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
Thematic Opportunities
Explore Investment Opportunities
Check out Series Portfolios Correlation, Series Portfolios Volatility and Series Portfolios Alpha and Beta module to complement your research on Series Portfolios. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Series Portfolios 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.