Spark Stock Future Price Prediction


USD 3.25  0.02  0.62%   

Spark Networks stock price prediction is an act of determining the future value of Spark Networks shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Spark Networks' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Spark Networks and does not consider all of the tangible or intangible factors available from Spark Networks' fundamental data. We analyze noise-free headlines and recent hype associated with Spark Networks, which may create opportunities for some arbitrage if properly timed.
Additionally, see Spark Networks Basic Forecasting Models to cross-verify your projections.
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Spark Networks based on different types of headlines from major news networks to social media. The Spark stock price prediction module provides an analysis of price elasticity to changes in media outlook on Spark Networks over a specific investment horizon.
EPS Estimate Current Year
Wall Street Target Price
EPS Estimate Current Quarter
Quarterly Revenue Growth YOY
Using Spark Networks hype-based prediction, you can estimate the value of Spark Networks from the perspective of Spark Networks response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Spark Networks using Spark Networks' options and short interest. It helps to benchmark the overall future attitude of investors towards Spark using crowd psychology based on the activity and movement of Spark Networks' stock price.
Spark Networks Price to Sales Ratio is fairly stable at the moment as compared to the past year. Spark Networks reported Price to Sales Ratio of 0.32 in 2021. Tangible Assets Book Value per Share is likely to climb to 16.55 in 2022, whereas Earnings per Diluted Share are likely to drop (0.75)  in 2022.

Spark Networks Implied Volatility

Spark Networks' implied volatility exposes the market's sentiment of Spark Networks stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Spark Networks' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Spark Networks stock will not fluctuate a lot when Spark Networks' options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in Spark Networks. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Spark Networks to buy its stock at a price that has no basis in reality. In that case, they are not buying Spark because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.

Spark Networks after-hype prediction price

  $ 3.3  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Spark Networks' 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. Please use the tools below to analyze the current value of Spark Networks in the context of predictive analytics.
LowReal ValueHigh
LowNext ValueHigh
1 Analysts
LowTarget PriceHigh
Estimates (1)
LowProjected EPSHigh
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Spark Networks. Your research has to be compared to or analyzed against Spark Networks' peers to derive any actionable benefits. When done correctly, Spark Networks' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Spark Networks.

Spark Networks After-Hype Price Prediction Density Analysis

As far as predicting the price of Spark Networks 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 Spark Networks 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 smart people who confused the symmetrical distributions of stock prices, such as prices of Spark Networks, with the unreliable approximations that try to describe financial returns.
 Next price density 
      Expected price to next headline 

Spark Networks Estimiated After-Hype Price Volatility

In the context of predicting Spark Networks' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Spark Networks' historical news coverage. Spark Networks' after-hype downside and upside margins for the prediction period are 0.17 and 10.75, respectively. We have considered Spark Networks' 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 3.25
After-hype Price
Spark Networks is very risky asset. Analysis and calculation of next after-hype price of Spark Networks is based on 3 months time horizon.

Spark Networks Stock Price Prediction Analysis

Have you ever been surprised when a price of a company such as Spark Networks is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Spark Networks 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 stock 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 Spark Networks, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.54  7.39  0.05    0.83  7 Events / Month7 Events / MonthIn about 7 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility

Spark Networks Hype Timeline

On the 29th of June Spark Networks is traded for 3.25. The entity has historical hype elasticity of 0.05 and average elasticity to hype of competition of -0.83. Spark is estimated to increase in value after the next headline with price projected to jump to 3.3 or above. The average volatility of media hype impact on the company stock price is over 100%. The price increase on the next news is forecasted to be 1.54% whereas the daily expected return is now at 0.54%. The volatility of related hype on Spark Networks is about 482.06% with expected price after next announcement by competition of 2.42. The company reported the last year's revenue of 216.9 M. Reported Net Loss for the year was (68.16 M) with profit before taxes, overhead, and interest of 84.93 M. Considering the 90-day investment horizon the next estimatedpress releasewill be in about 7 days.
Additionally, see Spark Networks Basic Forecasting Models to cross-verify your projections.

Spark Networks Related Hype Analysis

Having access to credible news sources related to Spark Networks' direct competition is more important than ever and may enhance your ability to predict Spark Networks' future price movements. Getting to know how Spark Networks rivals 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 Spark Networks may potentially react to the hype associated with one of its peers.
At Risk
ABNBAirbnb Inc Cl(12.39) 9 per month 0.00 (0.14)  6.68 (8.09)  19.83 
ANGIAngi Inc 0.32 4 per month 0.00 (0.0104)  8.69 (8.60)  36.05 
ATHMAutohome Inc ADR(0.76) 6 per month 3.36  0.15  8.53 (5.52)  19.47 
BLCTBluecity Holdings(0.03) 3 per month 2.19  0.16  5.51 (3.10)  13.60 
DDDupont Denemours(2.11) 10 per month 0.00 (0.11)  3.00 (3.87)  9.53 
BACBank Of America 0.16 3 per month 0.00 (0.12)  3.38 (3.49)  9.79 
MRKMerck Company(1.37) 8 per month 0.95  0.28  2.16 (1.65)  7.44 
AXPAmerican Express(1.59) 7 per month 0.00 (0.1)  3.46 (3.99)  9.75 
CATCaterpillar 0.29 8 per month 0.00 (0.0274)  3.20 (4.35)  10.92 
JNJJohnson Johnson 2.15 9 per month 1.06  0.16  2.23 (1.86)  5.06 

Spark Networks Additional Predictive Modules

Most predictive techniques to examine Spark price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Spark using various technical indicators. When you analyze Spark 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.

About Spark Networks Predictive Indicators

The successful prediction of Spark Networks stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Spark Networks, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Spark Networks based on analysis of Spark Networks hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Spark Networks's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Spark Networks's related companies.

Story Coverage note for Spark Networks

The number of cover stories for Spark Networks depends on current market conditions and Spark Networks' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Spark Networks 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 Spark Networks' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Spark Networks Short Properties

Spark Networks' future price predictability will typically decrease when Spark Networks' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Spark Networks often depends not only on the future outlook of the potential Spark Networks' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Spark Networks' indicators that are reflective of the short sentiment are summarized in the table below.
Shares Percent Shares Out0.38%
Float Shares18.9M
Shares Short Prior Month127.31k
Average Daily Volume Last 10 Day77.28k
Average Daily Volume In Three Month102.35k
Date Short Interest29th of April 2022
Additionally, see Spark Networks Basic Forecasting Models to cross-verify your projections. Note that the Spark Networks information on this page should be used as a complementary analysis to other Spark Networks' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Focused Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Complementary Tools for Spark Stock analysis

When running Spark Networks price analysis, check to measure Spark Networks' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Spark Networks is operating at the current time. Most of Spark Networks' value examination focuses on studying past and present price action to predict the probability of Spark Networks' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Spark Networks' price. Additionally, you may evaluate how the addition of Spark Networks to your portfolios can decrease your overall portfolio volatility.
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Is Spark Networks' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Spark Networks. If investors know Spark will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Spark Networks listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Market Capitalization
89.9 M
Quarterly Revenue Growth YOY
Return On Assets
Return On Equity
The market value of Spark Networks is measured differently than its book value, which is the value of Spark that is recorded on the company's balance sheet. Investors also form their own opinion of Spark Networks' value that differs from its market value or its book value, called intrinsic value, which is Spark Networks' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Spark Networks' market value can be influenced by many factors that don't directly affect Spark Networks' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Spark Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine Spark Networks value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Spark Networks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.