Sharespost 100 Mutual Fund Forecast - Simple Exponential Smoothing

PRIVX Fund  USD 47.06  0.07  0.15%   
The Simple Exponential Smoothing forecasted value of Sharespost 100 on the next trading day is expected to be 47.06 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.18. Sharespost Mutual Fund Forecast is based on your current time horizon.
The relative strength index (RSI) of Sharespost 100's mutual fund price is slightly above 68 indicating that the mutual fund is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Sharespost, making its price go up or down.

Momentum 68

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Sharespost 100's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Sharespost 100, which may create opportunities for some arbitrage if properly timed.
Using Sharespost 100 hype-based prediction, you can estimate the value of Sharespost 100 from the perspective of Sharespost 100 response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Sharespost 100 on the next trading day is expected to be 47.06 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.18.

Sharespost 100 after-hype prediction price

    
  USD 47.06  
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.
  
Check out Historical Fundamental Analysis of Sharespost 100 to cross-verify your projections.

Sharespost 100 Additional Predictive Modules

Most predictive techniques to examine Sharespost price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sharespost using various technical indicators. When you analyze Sharespost 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.
Sharespost 100 simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Sharespost 100 are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Sharespost 100 prices get older.

Sharespost 100 Simple Exponential Smoothing Price Forecast For the 24th of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Sharespost 100 on the next trading day is expected to be 47.06 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.20, and the sum of the absolute errors of 9.18.
Please note that although there have been many attempts to predict Sharespost 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 Sharespost 100's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sharespost 100 Mutual Fund Forecast Pattern

Backtest Sharespost 100Sharespost 100 Price PredictionBuy or Sell Advice 

Sharespost 100 Forecasted Value

In the context of forecasting Sharespost 100's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Sharespost 100's downside and upside margins for the forecasting period are 46.02 and 48.10, respectively. We have considered Sharespost 100's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
47.06
47.06
Expected Value
48.10
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sharespost 100 mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sharespost 100 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.
AICAkaike Information Criteria116.4913
BiasArithmetic mean of the errors -0.0561
MADMean absolute deviation0.1505
MAPEMean absolute percentage error0.0033
SAESum of the absolute errors9.18
This simple exponential smoothing model begins by setting Sharespost 100 forecast for the second period equal to the observation of the first period. In other words, recent Sharespost 100 observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Sharespost 100

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sharespost 100. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sharespost 100'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.
Hype
Prediction
LowEstimatedHigh
46.0347.0648.09
Details
Intrinsic
Valuation
LowRealHigh
41.8542.8851.77
Details
Bollinger
Band Projection (param)
LowMiddleHigh
46.5847.1947.79
Details

Sharespost 100 After-Hype Price Prediction Density Analysis

As far as predicting the price of Sharespost 100 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 Sharespost 100 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 Sharespost 100, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Sharespost 100 Estimiated After-Hype Price Volatility

In the context of predicting Sharespost 100's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sharespost 100's historical news coverage. Sharespost 100's after-hype downside and upside margins for the prediction period are 46.03 and 48.09, respectively. We have considered Sharespost 100'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
47.06
47.06
After-hype Price
48.09
Upside
Sharespost 100 is very steady at this time. Analysis and calculation of next after-hype price of Sharespost 100 is based on 3 months time horizon.

Sharespost 100 Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Sharespost 100 is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sharespost 100 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 Sharespost 100, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.13 
1.04
 0.00  
  0.34 
0 Events / Month
2 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
47.06
47.06
0.00 
0.00  
Notes

Sharespost 100 Hype Timeline

Sharespost 100 is at this time traded for 47.06. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.34. Sharespost is anticipated 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 anticipated to be very small, whereas the daily expected return is at this time at 0.13%. %. The volatility of related hype on Sharespost 100 is about 39.97%, with the expected price after the next announcement by competition of 46.72. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next anticipated press release will be within a week.
Check out Historical Fundamental Analysis of Sharespost 100 to cross-verify your projections.

Sharespost 100 Related Hype Analysis

Having access to credible news sources related to Sharespost 100's direct competition is more important than ever and may enhance your ability to predict Sharespost 100's future price movements. Getting to know how Sharespost 100'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 Sharespost 100 may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
IGAVoya Global Advantage 0.00 0 per month 0.40 (0.13) 0.84 (0.72) 1.90 
GFNew Germany Closed(0.05)8 per month 1.06  0.02  1.26 (2.00) 4.66 
IDEVoya Infrastructure Industrials(2.43)2 per month 0.65  0.07  1.16 (1.46) 3.02 
BSLBlackstone Gso Senior 0.08 2 per month 0.35 (0.25) 0.52 (0.52) 2.43 
CHNChina Fund 0.01 2 per month 0.00 (0.08) 8.82 (7.98) 89.67 
DHFBNY Mellon High 6.43 10 per month 0.61 (0.13) 1.20 (1.21) 2.44 
DRSVXFoundry Partners Fundamental(8.95)2 per month 0.65  0.06  1.83 (1.37) 4.30 
SPESpecial Opportunities Closed 0.11 4 per month 0.69 (0.05) 0.76 (0.91) 4.57 
YFSNXAmg Yacktman Focused(5.80)6 per month 0.31  0.19  1.15 (1.00) 3.05 
SCUIXHartford Schroders Small(15.42)7 per month 0.35  0.15  2.33 (1.34) 17.73 

Other Forecasting Options for Sharespost 100

For every potential investor in Sharespost, whether a beginner or expert, Sharespost 100's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sharespost Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sharespost. Basic forecasting techniques help filter out the noise by identifying Sharespost 100's price trends.

Sharespost 100 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 Sharespost 100 mutual fund to make a market-neutral strategy. Peer analysis of Sharespost 100 could also be used in its relative valuation, which is a method of valuing Sharespost 100 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sharespost 100 Market Strength Events

Market strength indicators help investors to evaluate how Sharespost 100 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 Sharespost 100 shares will generate the highest return on investment. By undertsting and applying Sharespost 100 mutual fund market strength indicators, traders can identify Sharespost 100 entry and exit signals to maximize returns.

Sharespost 100 Risk Indicators

The analysis of Sharespost 100'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 Sharespost 100's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sharespost 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.
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 Sharespost 100

The number of cover stories for Sharespost 100 depends on current market conditions and Sharespost 100's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Sharespost 100 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 Sharespost 100'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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Other Information on Investing in Sharespost Mutual Fund

Sharespost 100 financial ratios help investors to determine whether Sharespost Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sharespost with respect to the benefits of owning Sharespost 100 security.
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