Spark Networks SE Price Prediction

Intrinsic Valuation Low Real High 0.27 0.27 0.31 Details

Naive Forecast Low Next High 0.32 0.32 0.32 Details

Bollinger Band Projection (param) Lower Middle Band Upper 0.17 0.24 0.31 Details

Spark Networks After-Hype Price Prediction Density Analysis

Spark Networks Estimiated After-Hype Price Volatility

Spark Networks Stock Price Prediction Analysis

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	4 Events / Month	Uncertain

Latest traded price	Expected after-news price	Potential return on next major news	Average after-hype volatility
0.28	0.28	0.00	0.00   Notes

Spark Networks Hype Timeline

On the 26th of November Spark Networks SE is traded for 0.28. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Spark is estimated 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 estimated to be very small, whereas the daily expected return is now at 0.0%. %. The volatility of related hype on Spark Networks is about 0.0%, with the expected price after the next announcement by competition of 0.28. About 35.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.89. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Spark Networks SE recorded a loss per share of 2.38. The entity had not issued any dividends in recent years. Considering the 90-day investment horizon the next estimated press release will be uncertain. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.

Spark Networks Related Hype Analysis

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.

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 SE, 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.

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' 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 SE 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.

Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

If you are still planning to invest in Spark Networks SE 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 Spark Networks' history and understand the potential risks before investing.