Swan Defined Mutual Fund Forecast - Naive Prediction
| SDJIXDelisted Fund | USD 8.97 0.00 0.00% |
The Naive Prediction forecasted value of Swan Defined Risk on the next trading day is expected to be 8.81 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.12. Swan Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Swan Defined's share price is below 20 . This usually implies that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Swan Defined hype-based prediction, you can estimate the value of Swan Defined Risk from the perspective of Swan Defined response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Swan Defined Risk on the next trading day is expected to be 8.81 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.12. Swan Defined after-hype prediction price | USD 8.97 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Swan |
Swan Defined Additional Predictive Modules
Most predictive techniques to examine Swan price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Swan using various technical indicators. When you analyze Swan charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Swan Defined Naive Prediction Price Forecast For the 24th of January
Given 90 days horizon, the Naive Prediction forecasted value of Swan Defined Risk on the next trading day is expected to be 8.81 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.12.Please note that although there have been many attempts to predict Swan Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Swan Defined's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Swan Defined Mutual Fund Forecast Pattern
| Backtest Swan Defined | Swan Defined Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Swan Defined mutual fund data series using in forecasting. Note that when a statistical model is used to represent Swan Defined mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 114.2432 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1003 |
| MAPE | Mean absolute percentage error | 0.0105 |
| SAE | Sum of the absolute errors | 6.1186 |
Predictive Modules for Swan Defined
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Swan Defined Risk. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Swan Defined After-Hype Price Prediction Density Analysis
As far as predicting the price of Swan Defined at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Swan Defined or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Swan Defined, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Swan Defined Estimiated After-Hype Price Volatility
In the context of predicting Swan Defined's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Swan Defined's historical news coverage. Swan Defined's after-hype downside and upside margins for the prediction period are 8.97 and 8.97, respectively. We have considered Swan Defined's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Swan Defined is very steady at this time. Analysis and calculation of next after-hype price of Swan Defined Risk is based on 3 months time horizon.
Swan Defined Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Swan Defined is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Swan Defined backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Swan Defined, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
8.97 | 8.97 | 0.00 |
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Swan Defined Hype Timeline
Swan Defined Risk is at this time traded for 8.97. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Swan is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Swan Defined is about 0.0%, with the expected price after the next announcement by competition of 8.97. The company last dividend was issued on the 26th of December 2019. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.Swan Defined Related Hype Analysis
Having access to credible news sources related to Swan Defined's direct competition is more important than ever and may enhance your ability to predict Swan Defined's future price movements. Getting to know how Swan Defined's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Swan Defined may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| JHMXX | John Hancock Money | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PBMXX | Prudential Government Money | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| STPXX | Ubs Money Series | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| JRSXX | Edward Jones Money | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FMVUX | Matson Money Equity | 0.00 | 0 per month | 0.45 | 0.13 | 1.89 | (1.26) | 7.72 |
Swan Defined Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Swan Defined mutual fund to make a market-neutral strategy. Peer analysis of Swan Defined could also be used in its relative valuation, which is a method of valuing Swan Defined by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Swan Defined Market Strength Events
Market strength indicators help investors to evaluate how Swan Defined mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Swan Defined shares will generate the highest return on investment. By undertsting and applying Swan Defined mutual fund market strength indicators, traders can identify Swan Defined Risk entry and exit signals to maximize returns.
Swan Defined Risk Indicators
The analysis of Swan Defined's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Swan Defined's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting swan mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.5827 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.69 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Swan Defined
The number of cover stories for Swan Defined depends on current market conditions and Swan Defined's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Swan Defined is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Swan Defined's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Other Consideration for investing in Swan Mutual Fund
If you are still planning to invest in Swan Defined Risk check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Swan Defined's history and understand the potential risks before investing.
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