Swp Growth Income Etf Market Value
| SWP Etf | USD 28.66 0.04 0.14% |
| Symbol | SWP |
Investors evaluate SWP Growth Income using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating SWP Growth's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause SWP Growth's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between SWP Growth's value and its price as these two are different measures arrived at by different means. Investors typically determine if SWP Growth is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, SWP Growth's market price signifies the transaction level at which participants voluntarily complete trades.
SWP Growth '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 SWP Growth'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 SWP Growth.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in SWP Growth on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding SWP Growth Income or generate 0.0% return on investment in SWP Growth over 90 days. SWP Growth is related to or competes with FT Vest, Northern Lights, Diamond Hill, Dimensional International, JPMorgan Fundamental, Matthews China, and Dimensional ETF. Stanley Black Decker, Inc. provides tools and storage, engineered fastening and infrastructure, and security solutions w... More
SWP Growth 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 SWP Growth'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 SWP Growth Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9461 | |||
| Information Ratio | 0.0219 | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.17 |
SWP Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SWP Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SWP Growth's standard deviation. In reality, there are many statistical measures that can use SWP Growth historical prices to predict the future SWP Growth's volatility.| Risk Adjusted Performance | 0.0756 | |||
| Jensen Alpha | 0.0692 | |||
| Total Risk Alpha | 0.0148 | |||
| Sortino Ratio | 0.0173 | |||
| Treynor Ratio | (2.25) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SWP Growth'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.
SWP Growth January 30, 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 | 0.0756 | |||
| Market Risk Adjusted Performance | (2.24) | |||
| Mean Deviation | 0.5622 | |||
| Semi Deviation | 0.7634 | |||
| Downside Deviation | 0.9461 | |||
| Coefficient Of Variation | 963.66 | |||
| Standard Deviation | 0.7487 | |||
| Variance | 0.5605 | |||
| Information Ratio | 0.0219 | |||
| Jensen Alpha | 0.0692 | |||
| Total Risk Alpha | 0.0148 | |||
| Sortino Ratio | 0.0173 | |||
| Treynor Ratio | (2.25) | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.17 | |||
| Downside Variance | 0.8952 | |||
| Semi Variance | 0.5828 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.83) | |||
| Kurtosis | 1.11 |
SWP Growth Income Backtested Returns
Currently, SWP Growth Income is very steady. SWP Growth Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the etf had a 0.1 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for SWP Growth Income, which you can use to evaluate the volatility of the etf. Please validate SWP Growth's coefficient of variation of 963.66, and Risk Adjusted Performance of 0.0756 to confirm if the risk estimate we provide is consistent with the expected return of 0.0777%. The entity has a beta of -0.0301, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SWP Growth are expected to decrease at a much lower rate. During the bear market, SWP Growth is likely to outperform the market.
Auto-correlation | 0.63 |
Good predictability
SWP Growth Income has good predictability. Overlapping area represents the amount of predictability between SWP Growth time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 SWP Growth Income price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current SWP Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Pair Trading with SWP Growth
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SWP Growth position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SWP Growth will appreciate offsetting losses from the drop in the long position's value.Moving together with SWP Etf
| 0.79 | VTI | Vanguard Total Stock | PairCorr |
| 0.77 | SPY | SPDR SP 500 | PairCorr |
| 0.77 | IVV | iShares Core SP | PairCorr |
| 0.97 | VIG | Vanguard Dividend | PairCorr |
| 0.9 | VV | Vanguard Large Cap | PairCorr |
The ability to find closely correlated positions to SWP Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SWP Growth when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SWP Growth - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SWP Growth Income to buy it.
The correlation of SWP Growth is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SWP Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SWP Growth Income moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for SWP Growth can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out SWP Growth Correlation, SWP Growth Volatility and SWP Growth Performance module to complement your research on SWP Growth. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
SWP Growth 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.