Lianhe Sowell Stock Forward View
| LHSW Stock | 0.62 0.09 12.68% |
Lianhe Stock outlook is based on your current time horizon.
At this time, the value of RSI of Lianhe Sowell's share price is approaching 39. This indicates 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 Lianhe Sowell, making its price go up or down. Momentum 39
Sell Extended
Oversold | Overbought |
Using Lianhe Sowell hype-based prediction, you can estimate the value of Lianhe Sowell International from the perspective of Lianhe Sowell response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Lianhe Sowell International on the next trading day is expected to be 0.49 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.51. Lianhe Sowell after-hype prediction price | USD 0.62 |
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 Lianhe Sowell to cross-verify your projections. Lianhe Sowell Additional Predictive Modules
Most predictive techniques to examine Lianhe price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lianhe using various technical indicators. When you analyze Lianhe 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 |
Lianhe Sowell Naive Prediction Price Forecast For the 30th of January
Given 90 days horizon, the Naive Prediction forecasted value of Lianhe Sowell International on the next trading day is expected to be 0.49 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.51.Please note that although there have been many attempts to predict Lianhe 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 Lianhe Sowell's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Lianhe Sowell Stock Forecast Pattern
| Backtest Lianhe Sowell | Lianhe Sowell Price Prediction | Buy or Sell Advice |
Lianhe Sowell Forecasted Value
In the context of forecasting Lianhe Sowell'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. Lianhe Sowell's downside and upside margins for the forecasting period are 0.01 and 10.85, respectively. We have considered Lianhe Sowell'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 Lianhe Sowell stock data series using in forecasting. Note that when a statistical model is used to represent Lianhe Sowell 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 | 113.4639 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.074 |
| MAPE | Mean absolute percentage error | 0.0733 |
| SAE | Sum of the absolute errors | 4.5111 |
Predictive Modules for Lianhe Sowell
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lianhe Sowell Intern. 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 Lianhe Sowell'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.
Lianhe Sowell After-Hype Price Density Analysis
As far as predicting the price of Lianhe Sowell 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 Lianhe Sowell 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 Lianhe Sowell, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Lianhe Sowell Estimiated After-Hype Price Volatility
In the context of predicting Lianhe Sowell's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Lianhe Sowell's historical news coverage. Lianhe Sowell's after-hype downside and upside margins for the prediction period are 0.03 and 10.99, respectively. We have considered Lianhe Sowell'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
Lianhe Sowell is out of control at this time. Analysis and calculation of next after-hype price of Lianhe Sowell Intern is based on 3 months time horizon.
Lianhe Sowell Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Lianhe Sowell is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Lianhe Sowell 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 Lianhe Sowell, 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 |
1.17 | 10.37 | 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 | |
0.62 | 0.62 | 0.00 |
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Lianhe Sowell Hype Timeline
Lianhe Sowell Intern is now traded for 0.62. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Lianhe is projected 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 projected to be very small, whereas the daily expected return is now at -1.17%. %. The volatility of related hype on Lianhe Sowell is about 0.0%, with the expected price after the next announcement by competition of 0.62. About 66.0% of the company outstanding shares are owned by corporate insiders. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next projected press release will be uncertain. Check out Historical Fundamental Analysis of Lianhe Sowell to cross-verify your projections.Lianhe Sowell Related Hype Analysis
Having access to credible news sources related to Lianhe Sowell's direct competition is more important than ever and may enhance your ability to predict Lianhe Sowell's future price movements. Getting to know how Lianhe Sowell'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 Lianhe Sowell may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SAIH | SAIHEAT Limited | 0.00 | 0 per month | 5.47 | 0.02 | 11.13 | (8.99) | 51.10 | |
| SAIHW | SAIHEAT Limited | 0.00 | 0 per month | 0.00 | (0.20) | 30.55 | (29.74) | 69.74 | |
| ATOM | Atomera | 0.00 | 0 per month | 4.78 | 0.01 | 8.98 | (8.51) | 31.96 | |
| CMTL | Comtech Telecommunications Corp | 0.00 | 0 per month | 3.55 | 0.24 | 8.77 | (5.02) | 22.76 | |
| PSQH | PSQ Holdings | 0.00 | 0 per month | 0.00 | (0.32) | 5.36 | (8.53) | 19.40 | |
| INVE | Identiv | 0.00 | 0 per month | 0.00 | (0.07) | 4.62 | (5.38) | 15.58 | |
| VELO | Velo3D | 0.00 | 0 per month | 8.98 | 0.17 | 23.12 | (14.48) | 74.12 | |
| SILC | Silicom | 0.00 | 0 per month | 2.24 | 0.07 | 5.23 | (3.94) | 11.73 | |
| MIND | Mind Technology | 0.00 | 0 per month | 0.00 | (0.02) | 8.99 | (9.24) | 37.32 | |
| NA | Nano Labs | 0.00 | 0 per month | 0.00 | (0.05) | 7.45 | (6.20) | 38.30 |
Other Forecasting Options for Lianhe Sowell
For every potential investor in Lianhe, whether a beginner or expert, Lianhe Sowell's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lianhe Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lianhe. Basic forecasting techniques help filter out the noise by identifying Lianhe Sowell's price trends.Lianhe Sowell 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 Lianhe Sowell stock to make a market-neutral strategy. Peer analysis of Lianhe Sowell could also be used in its relative valuation, which is a method of valuing Lianhe Sowell by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Lianhe Sowell Market Strength Events
Market strength indicators help investors to evaluate how Lianhe Sowell stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lianhe Sowell shares will generate the highest return on investment. By undertsting and applying Lianhe Sowell stock market strength indicators, traders can identify Lianhe Sowell International entry and exit signals to maximize returns.
Lianhe Sowell Risk Indicators
The analysis of Lianhe Sowell'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 Lianhe Sowell's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lianhe 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 | 6.64 | |||
| Standard Deviation | 10.37 | |||
| Variance | 107.44 |
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 Lianhe Sowell
The number of cover stories for Lianhe Sowell depends on current market conditions and Lianhe Sowell's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Lianhe Sowell 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 Lianhe Sowell'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
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Lianhe Sowell Short Properties
Lianhe Sowell's future price predictability will typically decrease when Lianhe Sowell's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Lianhe Sowell International often depends not only on the future outlook of the potential Lianhe Sowell'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. Lianhe Sowell's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 52 M | |
| Cash And Short Term Investments | 108.7 K |
Additional Tools for Lianhe Stock Analysis
When running Lianhe Sowell's price analysis, check to measure Lianhe Sowell's 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 Lianhe Sowell is operating at the current time. Most of Lianhe Sowell's value examination focuses on studying past and present price action to predict the probability of Lianhe Sowell's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lianhe Sowell's price. Additionally, you may evaluate how the addition of Lianhe Sowell to your portfolios can decrease your overall portfolio volatility.