China Finance Pink Sheet Forward View
| JRJCYDelisted Stock | USD 0.0001 0.00 0.00% |
China Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of China Finance's share price is below 20 . This indicates that the pink sheet 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 China Finance hype-based prediction, you can estimate the value of China Finance Online from the perspective of China Finance response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of China Finance Online on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. China Finance after-hype prediction price | USD 1.0E-4 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
China |
China Finance Additional Predictive Modules
Most predictive techniques to examine China price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for China using various technical indicators. When you analyze China 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
China Finance Naive Prediction Price Forecast For the 5th of February
Given 90 days horizon, the Naive Prediction forecasted value of China Finance Online on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict China Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that China Finance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
China Finance Pink Sheet Forecast Pattern
| Backtest China Finance | China Finance Price Prediction | Research Analysis |
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 China Finance pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Finance pink sheet, 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 | 30.385 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for China Finance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as China Finance Online. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 China Finance'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.
China Finance After-Hype Price Density Analysis
As far as predicting the price of China Finance 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 China Finance 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 Pink Sheet prices, such as prices of China Finance, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
China Finance Estimiated After-Hype Price Volatility
In the context of predicting China Finance's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on China Finance's historical news coverage. China Finance's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered China Finance'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
China Finance is very steady at this time. Analysis and calculation of next after-hype price of China Finance Online is based on 3 months time horizon.
China Finance Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as China Finance is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading China Finance 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 Pink Sheet 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 China Finance, 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 | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0001 | 0.0001 | 0.00 |
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China Finance Hype Timeline
China Finance Online is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. China 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 currently at 0.0%. %. The volatility of related hype on China Finance is about 0.0%, with the expected price after the next announcement by competition of 0.00. About 17.0% of the company shares are held by company insiders. The company has price-to-book ratio of 0.0. Some equities with similar Price to Book (P/B) outperform the market in the long run. China Finance Online recorded a loss per share of 5.45. The entity last dividend was issued on the 6th of January 2020. The firm had 1:10 split on the 6th of January 2020. Assuming the 90 days horizon the next forecasted press release will be uncertain. Check out Risk vs Return 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 private.China Finance Related Hype Analysis
Having access to credible news sources related to China Finance's direct competition is more important than ever and may enhance your ability to predict China Finance's future price movements. Getting to know how China Finance'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 China Finance may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BGMO | Bergamo Acquisition Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MUSS | Multi Solutions II | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| QUGB | Quinton Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| IGOT | Fomo Worldwide | 0.00 | 9 per month | 32.42 | 0.25 | 1,400 | (93.33) | 2,496 | |
| AKSY | Aksys | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FMFN | First Montauk Financial | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| BHBCQ | Beverly Hills Bancorp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FNHCQ | FedNat Holding | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GVFGU | GEROVA Financial Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CCVL | Crown Cap Ventures | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
China Finance 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 China Finance pink sheet to make a market-neutral strategy. Peer analysis of China Finance could also be used in its relative valuation, which is a method of valuing China Finance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
China Finance Market Strength Events
Market strength indicators help investors to evaluate how China Finance pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading China Finance shares will generate the highest return on investment. By undertsting and applying China Finance pink sheet market strength indicators, traders can identify China Finance Online entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Story Coverage note for China Finance
The number of cover stories for China Finance depends on current market conditions and China Finance's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that China Finance 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 China Finance's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
China Finance Short Properties
China Finance's future price predictability will typically decrease when China Finance's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of China Finance Online often depends not only on the future outlook of the potential China Finance's 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. China Finance's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.3 M | |
| Cash And Short Term Investments | 6.2 M |
Check out Risk vs Return 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 private. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Other Consideration for investing in China Pink Sheet
If you are still planning to invest in China Finance Online 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 China Finance's history and understand the potential risks before investing.
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