Ultrachina Profund Ultrachina Fund Market Value
| UGPSX Fund | USD 16.21 0.41 2.47% |
| Symbol | Ultrachina |
Ultrachina Profund '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 Ultrachina Profund'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 Ultrachina Profund.
| 03/18/2024 |
| 04/17/2024 |
If you would invest 0.00 in Ultrachina Profund on March 18, 2024 and sell it all today you would earn a total of 0.00 from holding Ultrachina Profund Ultrachina or generate 0.0% return on investment in Ultrachina Profund over 30 days. Ultrachina Profund is related to or competes with Consumer Services, Financials Ultrasector, and Pharmaceuticals Ultrasector. The fund invests in financial instruments that the fund Advisors believes, in combination, should produce daily returns ... More
Ultrachina Profund 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 Ultrachina Profund'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 Ultrachina Profund Ultrachina upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 20.58 | |||
| Value At Risk | (5.51) | |||
| Potential Upside | 6.46 |
Ultrachina Profund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ultrachina Profund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ultrachina Profund's standard deviation. In reality, there are many statistical measures that can use Ultrachina Profund historical prices to predict the future Ultrachina Profund's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ultrachina Profund'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.
Ultrachina Profund Backtested Returns
Ultrachina Profund owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0221, which indicates the fund had a -0.0221% return per unit of risk over the last 3 months. Ultrachina Profund Ultrachina exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Ultrachina Profund's Risk Adjusted Performance of (0.04), variance of 13.71, and Coefficient Of Variation of (1,264) to confirm the risk estimate we provide. The entity has a beta of 2.55, 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, Ultrachina Profund will likely underperform.
Auto-correlation | 0.08 |
Virtually no predictability
Ultrachina Profund Ultrachina has virtually no predictability. Overlapping area represents the amount of predictability between Ultrachina Profund time series from 18th of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th 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 Ultrachina Profund price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Ultrachina Profund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.71 |
Ultrachina Profund lagged returns against current returns
Autocorrelation, which is Ultrachina Profund 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 Ultrachina Profund's mutual fund expected returns. We can calculate the autocorrelation of Ultrachina Profund returns to help us make a trade decision. For example, suppose you find that Ultrachina Profund 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 |
Ultrachina Profund 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 Ultrachina Profund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ultrachina Profund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ultrachina Profund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ultrachina Profund Lagged Returns
When evaluating Ultrachina Profund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ultrachina Profund mutual fund have on its future price. Ultrachina Profund 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, Ultrachina Profund autocorrelation shows the relationship between Ultrachina Profund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ultrachina Profund Ultrachina.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Ultrachina Profund in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Ultrachina Profund's short interest history, or implied volatility extrapolated from Ultrachina Profund options trading.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| LTC | Litecoin | |
| STETH | Staked Ether | |
| LINK | Chainlink |
Check out Ultrachina Profund Correlation, Ultrachina Profund Volatility and Ultrachina Profund Alpha and Beta module to complement your research on Ultrachina Profund. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Ultrachina Profund 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.