Fangdd Network Stock Forward View
| DUO Stock | USD 1.41 0.22 13.50% |
Fangdd Stock outlook is based on your current time horizon. Although Fangdd Network's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Fangdd Network's systematic risk associated with finding meaningful patterns of Fangdd Network fundamentals over time.
As of today, the relative strength index (RSI) of Fangdd Network's share price is approaching 43 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Fangdd Network, making its price go up or down. Momentum 43
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.23 | Wall Street Target Price 8.02 | Quarterly Revenue Growth 0.453 |
Using Fangdd Network hype-based prediction, you can estimate the value of Fangdd Network Group from the perspective of Fangdd Network response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Fangdd Network Group on the next trading day is expected to be 1.39 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.46. Fangdd Network after-hype prediction price | USD 1.42 |
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.
Check out Historical Fundamental Analysis of Fangdd Network to cross-verify your projections. Fangdd Network Additional Predictive Modules
Most predictive techniques to examine Fangdd price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fangdd using various technical indicators. When you analyze Fangdd 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 |
Fangdd Network Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Fangdd Network's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2018-03-31 | Previous Quarter 34.6 M | Current Value 34.6 M | Quarterly Volatility 374.4 M |
Fangdd Network Naive Prediction Price Forecast For the 1st of February
Given 90 days horizon, the Naive Prediction forecasted value of Fangdd Network Group on the next trading day is expected to be 1.39 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.46.Please note that although there have been many attempts to predict Fangdd Stock 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 Fangdd Network's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Fangdd Network Stock Forecast Pattern
| Backtest Fangdd Network | Fangdd Network Price Prediction | Buy or Sell Advice |
Fangdd Network Forecasted Value
In the context of forecasting Fangdd Network's Stock 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. Fangdd Network's downside and upside margins for the forecasting period are 0.01 and 7.56, respectively. We have considered Fangdd Network'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.
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 Fangdd Network stock data series using in forecasting. Note that when a statistical model is used to represent Fangdd Network stock, 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 | 115.6789 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.088 |
| MAPE | Mean absolute percentage error | 0.0493 |
| SAE | Sum of the absolute errors | 5.4554 |
Predictive Modules for Fangdd Network
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fangdd Network Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Fangdd Network'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.
Fangdd Network After-Hype Price Density Analysis
As far as predicting the price of Fangdd Network 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 Fangdd Network 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 Stock prices, such as prices of Fangdd Network, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Fangdd Network Estimiated After-Hype Price Volatility
In the context of predicting Fangdd Network's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Fangdd Network's historical news coverage. Fangdd Network's after-hype downside and upside margins for the prediction period are 0.07 and 7.59, respectively. We have considered Fangdd Network'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
Fangdd Network is very risky at this time. Analysis and calculation of next after-hype price of Fangdd Network Group is based on 3 months time horizon.
Fangdd Network Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Fangdd Network is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fangdd Network 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 Fangdd Network, 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 |
0.29 | 6.17 | 0.01 | 0.05 | 3 Events / Month | 5 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.41 | 1.42 | 0.71 |
|
Fangdd Network Hype Timeline
On the 31st of January Fangdd Network Group is traded for 1.41. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.05. Fangdd is anticipated to increase in value after the next headline, with the price projected to jump to 1.42 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 0.71%, whereas the daily expected return is currently at -0.29%. The volatility of related hype on Fangdd Network is about 3427.78%, with the expected price after the next announcement by competition of 1.36. The company reported the last year's revenue of 339.1 M. Total Income to common stockholders was 28.3 M with profit before taxes, overhead, and interest of 62.74 M. Considering the 90-day investment horizon the next anticipated press release will be in about 3 days. Check out Historical Fundamental Analysis of Fangdd Network to cross-verify your projections.Fangdd Network Related Hype Analysis
Having access to credible news sources related to Fangdd Network's direct competition is more important than ever and may enhance your ability to predict Fangdd Network's future price movements. Getting to know how Fangdd Network'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 Fangdd Network may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| IHT | InnSuites Hospitality Trust | (0.08) | 7 per month | 0.00 | (0.08) | 6.25 | (5.19) | 23.23 | |
| ALBT | Avalon GloboCare Corp | 0.14 | 9 per month | 0.00 | (0.17) | 12.31 | (14.12) | 48.54 | |
| GYRO | Gyrodyne Company of | 0.01 | 7 per month | 0.00 | (0.13) | 3.46 | (2.89) | 8.14 | |
| LRHC | La Rosa Holdings | (2.34) | 11 per month | 0.00 | (0.43) | 9.51 | (20.00) | 47.79 | |
| MDRR | Medalist Diversified Reit | 0.25 | 6 per month | 0.00 | (0.03) | 5.62 | (4.42) | 17.17 | |
| LGPS | LogProstyle | 0.05 | 7 per month | 0.00 | (0.05) | 6.31 | (5.56) | 22.49 | |
| UOKA | MDJM | 0.23 | 9 per month | 0.00 | (0.14) | 6.50 | (9.22) | 64.80 | |
| XHG | XChange TECINC | 0.03 | 3 per month | 4.40 | 0.04 | 10.47 | (7.53) | 42.13 | |
| AIRE | reAlpha Tech Corp | (0.01) | 10 per month | 0.00 | (0.13) | 10.42 | (11.76) | 27.21 | |
| MKZR | MacKenzie Realty Capital | (0.08) | 8 per month | 0.00 | (0.01) | 10.06 | (9.02) | 40.08 |
Other Forecasting Options for Fangdd Network
For every potential investor in Fangdd, whether a beginner or expert, Fangdd Network's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fangdd Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fangdd. Basic forecasting techniques help filter out the noise by identifying Fangdd Network's price trends.Fangdd Network 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 Fangdd Network stock to make a market-neutral strategy. Peer analysis of Fangdd Network could also be used in its relative valuation, which is a method of valuing Fangdd Network by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Fangdd Network Market Strength Events
Market strength indicators help investors to evaluate how Fangdd Network stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fangdd Network shares will generate the highest return on investment. By undertsting and applying Fangdd Network stock market strength indicators, traders can identify Fangdd Network Group entry and exit signals to maximize returns.
| Accumulation Distribution | 49659.78 | |||
| Daily Balance Of Power | (1.22) | |||
| Rate Of Daily Change | 0.87 | |||
| Day Median Price | 1.45 | |||
| Day Typical Price | 1.44 | |||
| Price Action Indicator | (0.15) | |||
| Period Momentum Indicator | (0.22) | |||
| Relative Strength Index | 43.75 |
Fangdd Network Risk Indicators
The analysis of Fangdd Network'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 Fangdd Network's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fangdd stock 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 | 4.29 | |||
| Standard Deviation | 5.9 | |||
| Variance | 34.83 |
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 Fangdd Network
The number of cover stories for Fangdd Network depends on current market conditions and Fangdd Network's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Fangdd Network 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 Fangdd Network's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Fangdd Network Short Properties
Fangdd Network's future price predictability will typically decrease when Fangdd Network's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Fangdd Network Group often depends not only on the future outlook of the potential Fangdd Network'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. Fangdd Network's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 8.9 M | |
| Cash And Short Term Investments | 189 M |
Check out Historical Fundamental Analysis of Fangdd Network to cross-verify your projections. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Will Interactive Media & Services sector continue expanding? Could Fangdd diversify its offerings? Factors like these will boost the valuation of Fangdd Network. Projected growth potential of Fangdd fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Fangdd Network data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.23 | Earnings Share (0.54) | Revenue Per Share | Quarterly Revenue Growth 0.453 | Return On Assets |
Fangdd Network Group's market price often diverges from its book value, the accounting figure shown on Fangdd's balance sheet. Smart investors calculate Fangdd Network's intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Fangdd Network's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Fangdd Network's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Fangdd Network should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Fangdd Network's 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.