Shelton Green Alpha Fund Market Value
| NEXTX Fund | USD 30.53 0.18 0.59% |
| Symbol | Shelton |
Shelton Green '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 Shelton Green'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 Shelton Green.
| 03/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Shelton Green on March 21, 2024 and sell it all today you would earn a total of 0.00 from holding Shelton Green Alpha or generate 0.0% return on investment in Shelton Green over 30 days. Shelton Green is related to or competes with Firsthand Alternative, Guinness Atkinson, New Alternatives, Ridgeworth Innovative, and Amer Beacon. Under normal market conditions, the fund invests 80 percent of the net assets of the fund in equities of Sustainable com... More
Shelton Green 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 Shelton Green'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 Shelton Green Alpha upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 5.35 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 1.87 |
Shelton Green Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shelton Green's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shelton Green's standard deviation. In reality, there are many statistical measures that can use Shelton Green historical prices to predict the future Shelton Green's volatility.| Risk Adjusted Performance | 0.0419 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0383 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Shelton Green'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.
Shelton Green Alpha Backtested Returns
We consider Shelton Green very steady. Shelton Green Alpha owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0385, which indicates the fund had a 0.0385% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Shelton Green Alpha, which you can use to evaluate the volatility of the fund. Please validate Shelton Green's Semi Deviation of 1.1, coefficient of variation of 1639.66, and Risk Adjusted Performance of 0.0419 to confirm if the risk estimate we provide is consistent with the expected return of 0.0436%. The entity has a beta of 1.53, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Shelton Green will likely underperform.
Auto-correlation | -0.32 |
Poor reverse predictability
Shelton Green Alpha has poor reverse predictability. Overlapping area represents the amount of predictability between Shelton Green time series from 21st of March 2024 to 5th of April 2024 and 5th of April 2024 to 20th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Shelton Green Alpha price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Shelton Green price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.53 |
Shelton Green Alpha lagged returns against current returns
Autocorrelation, which is Shelton Green mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Shelton Green's mutual fund expected returns. We can calculate the autocorrelation of Shelton Green returns to help us make a trade decision. For example, suppose you find that Shelton Green has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Shelton Green regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Shelton Green mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Shelton Green mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Shelton Green mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Shelton Green Lagged Returns
When evaluating Shelton Green's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Shelton Green mutual fund have on its future price. Shelton Green autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Shelton Green autocorrelation shows the relationship between Shelton Green mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Shelton Green Alpha.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Shelton Green Correlation, Shelton Green Volatility and Shelton Green Alpha and Beta module to complement your research on Shelton Green. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Shelton Green 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.