LianDi Clean Pink Sheet Forward View - Simple Moving Average
| LNDT Stock | USD 0.0001 0.00 0.00% |
LianDi Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of LianDi Clean'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 LianDi Clean hype-based prediction, you can estimate the value of LianDi Clean Technology from the perspective of LianDi Clean response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of LianDi Clean Technology on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. LianDi Clean 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.
LianDi |
LianDi Clean Additional Predictive Modules
Most predictive techniques to examine LianDi price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for LianDi using various technical indicators. When you analyze LianDi 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 | ||
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
LianDi Clean Simple Moving Average Price Forecast For the 14th of February 2026
Given 90 days horizon, the Simple Moving Average forecasted value of LianDi Clean Technology on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict LianDi 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 LianDi Clean's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
LianDi Clean Pink Sheet Forecast Pattern
| Backtest LianDi Clean | LianDi Clean Price Prediction | Research Analysis |
LianDi Clean Forecasted Value
In the context of forecasting LianDi Clean's Pink Sheet 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. LianDi Clean's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered LianDi Clean'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of LianDi Clean pink sheet data series using in forecasting. Note that when a statistical model is used to represent LianDi Clean 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 | -9.223372036854776E14 |
| 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 LianDi Clean
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LianDi Clean Technology. 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 LianDi Clean'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.
LianDi Clean After-Hype Price Density Analysis
As far as predicting the price of LianDi Clean 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 LianDi Clean 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 LianDi Clean, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
LianDi Clean Estimiated After-Hype Price Volatility
In the context of predicting LianDi Clean's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on LianDi Clean's historical news coverage. LianDi Clean's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered LianDi Clean'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
LianDi Clean is very steady at this time. Analysis and calculation of next after-hype price of LianDi Clean Technology is based on 3 months time horizon.
LianDi Clean Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as LianDi Clean is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading LianDi Clean 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 LianDi Clean, 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 | 3 Events / Month | 1 Events / Month | In about 3 days |
| 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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LianDi Clean Hype Timeline
LianDi Clean Technology is now traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. LianDi 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 now at 0.0%. %. The volatility of related hype on LianDi Clean is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company has price-to-book ratio of 0.1. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. LianDi Clean Technology had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 3 days. Check out Historical Fundamental Analysis of LianDi Clean to cross-verify your projections.LianDi Clean Related Hype Analysis
Having access to credible news sources related to LianDi Clean's direct competition is more important than ever and may enhance your ability to predict LianDi Clean's future price movements. Getting to know how LianDi Clean'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 LianDi Clean may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CTBG | Coil Tubing Technology | 0.00 | 0 per month | 0.00 | (0.06) | 0.00 | 0.00 | 132.83 | |
| HDYNQ | Hyperdynamics Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NSLPQ | New Source Energy | 0.00 | 0 per month | 0.00 | (0.14) | 0.00 | 0.00 | 50.00 | |
| SGER | Sterling Energy Resources | 0.00 | 0 per month | 0.00 | 0.10 | 0.00 | 0.00 | 33.33 | |
| BFDE | Bedford Energy | 0.00 | 0 per month | 0.00 | 0.02 | 0.00 | 0.00 | 83.33 | |
| PGNE | PrimeGen Energy Corp | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NORX | Norstra Energy | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HYBE | Hybrid Energy Holdin | 0.00 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ECCE | Eagle Ford Oil | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| SING | SinglePoint | (0.0005) | 5 per month | 43.21 | 0.20 | 400.00 | (80.00) | 3,349 |
Other Forecasting Options for LianDi Clean
For every potential investor in LianDi, whether a beginner or expert, LianDi Clean's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. LianDi Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in LianDi. Basic forecasting techniques help filter out the noise by identifying LianDi Clean's price trends.LianDi Clean 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 LianDi Clean pink sheet to make a market-neutral strategy. Peer analysis of LianDi Clean could also be used in its relative valuation, which is a method of valuing LianDi Clean by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
LianDi Clean Market Strength Events
Market strength indicators help investors to evaluate how LianDi Clean 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 LianDi Clean shares will generate the highest return on investment. By undertsting and applying LianDi Clean pink sheet market strength indicators, traders can identify LianDi Clean Technology 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 LianDi Clean
The number of cover stories for LianDi Clean depends on current market conditions and LianDi Clean's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that LianDi Clean 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 LianDi Clean's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Tools for LianDi Pink Sheet Analysis
When running LianDi Clean's price analysis, check to measure LianDi Clean'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 LianDi Clean is operating at the current time. Most of LianDi Clean's value examination focuses on studying past and present price action to predict the probability of LianDi Clean's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LianDi Clean's price. Additionally, you may evaluate how the addition of LianDi Clean to your portfolios can decrease your overall portfolio volatility.