LRN Crypto Coin Forecast - Simple Exponential Smoothing
| LRN Crypto | USD 0 0.000004 0.22% |
The Simple Exponential Smoothing forecasted value of LRN on the next trading day is expected to be 0 with a mean absolute deviation of 0.0002 and the sum of the absolute errors of 0.01. LRN Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast LRN crypto prices and determine the direction of LRN's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of LRN's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the RSI of LRN's share price is approaching 38. This indicates that the crypto coin 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 LRN, making its price go up or down. Momentum 38
Sell Extended
Oversold | Overbought |
Using LRN hype-based prediction, you can estimate the value of LRN from the perspective of LRN response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of LRN on the next trading day is expected to be 0 with a mean absolute deviation of 0.0002 and the sum of the absolute errors of 0.01. LRN after-hype prediction price | .CC 0.002056 |
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 crypto price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
LRN |
LRN Additional Predictive Modules
Most predictive techniques to examine LRN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for LRN using various technical indicators. When you analyze LRN 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 |
LRN Simple Exponential Smoothing Price Forecast For the 23rd of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of LRN on the next trading day is expected to be 0 with a mean absolute deviation of 0.0002, mean absolute percentage error of 0.00000019, and the sum of the absolute errors of 0.01.Please note that although there have been many attempts to predict LRN Crypto Coin 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 LRN's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
LRN Crypto Coin Forecast Pattern
LRN Forecasted Value
In the context of forecasting LRN's Crypto Coin 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. LRN's downside and upside margins for the forecasting period are 0.000018 and 15.52, respectively. We have considered LRN'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of LRN crypto coin data series using in forecasting. Note that when a statistical model is used to represent LRN crypto coin, 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 | 100.8128 |
| Bias | Arithmetic mean of the errors | 1.0E-4 |
| MAD | Mean absolute deviation | 2.0E-4 |
| MAPE | Mean absolute percentage error | 0.0932 |
| SAE | Sum of the absolute errors | 0.0133 |
Predictive Modules for LRN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LRN. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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.LRN After-Hype Price Prediction Density Analysis
As far as predicting the price of LRN 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 LRN 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 Crypto Coin prices, such as prices of LRN, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
LRN Estimiated After-Hype Price Volatility
In the context of predicting LRN's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on LRN's historical news coverage. LRN's after-hype downside and upside margins for the prediction period are 0.00 and 15.52, respectively. We have considered LRN'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
LRN is abnormally risky at this time. Analysis and calculation of next after-hype price of LRN is based on 3 months time horizon.
LRN Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as LRN is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading LRN 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 Crypto 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 LRN, 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 |
0.48 | 15.52 | 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 | 0 | 12.84 |
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LRN Hype Timeline
LRN is now traded for 0. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is 0.0. LRN is estimated to increase in value after the next headline, with the price projected to jump to 0.002056 or above. The average volatility of media hype impact on the company the price is insignificant. The price growth on the next news is anticipated to be 12.84%, whereas the daily expected return is now at -0.48%. The volatility of related hype on LRN is about 0.0%, with the expected price after the next announcement by competition of 0.00. Debt can assist LRN until it has trouble settling it off, either with new capital or with free cash flow. So, LRN's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like LRN sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for LRN to invest in growth at high rates of return. When we think about LRN's use of debt, we should always consider it together with cash and equity.Assuming the 90 days trading horizon the next estimated press release will be uncertain. Check out Historical Fundamental Analysis of LRN to cross-verify your projections.LRN Related Hype Analysis
Having access to credible news sources related to LRN's direct competition is more important than ever and may enhance your ability to predict LRN's future price movements. Getting to know how LRN'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 LRN may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LRN | LRN | 0.00 | 0 per month | 0.00 | (0.04) | 15.78 | (20.50) | 99.43 | |
| CCD | Concordium | 0.00 | 0 per month | 0.00 | (0.04) | 16.79 | (12.50) | 45.53 | |
| STETH | Staked Ether | 0.00 | 0 per month | 0.00 | (0.13) | 6.45 | (5.38) | 20.42 | |
| EIGEN | EigenLayer | 0.00 | 0 per month | 0.00 | (0.30) | 9.09 | (10.00) | 30.00 | |
| EOSDAC | EOSDAC | 0.00 | 0 per month | 0.00 | (0.16) | 6.33 | (6.29) | 20.39 | |
| BLZ | BLZ | 0.00 | 0 per month | 0.00 | (0.03) | 20.81 | (12.12) | 40.95 | |
| MORPHO | Morpho | 0.00 | 0 per month | 0.00 | (0.15) | 6.98 | (9.09) | 25.26 | |
| DIA | DIA | 0.00 | 0 per month | 0.00 | (0.06) | 11.11 | (10.00) | 61.73 | |
| EM | EM | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for LRN
For every potential investor in LRN, whether a beginner or expert, LRN's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. LRN Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in LRN. Basic forecasting techniques help filter out the noise by identifying LRN's price trends.LRN 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 LRN crypto coin to make a market-neutral strategy. Peer analysis of LRN could also be used in its relative valuation, which is a method of valuing LRN by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
LRN Market Strength Events
Market strength indicators help investors to evaluate how LRN crypto coin reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading LRN shares will generate the highest return on investment. By undertsting and applying LRN crypto coin market strength indicators, traders can identify LRN entry and exit signals to maximize returns.
| Accumulation Distribution | 373.1 | |||
| Daily Balance Of Power | 0.6667 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0018 | |||
| Day Typical Price | 0.0018 | |||
| Relative Strength Index | 38.67 |
LRN Risk Indicators
The analysis of LRN'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 LRN's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lrn crypto coin 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 | 7.5 | |||
| Standard Deviation | 15.52 | |||
| Variance | 240.86 |
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 LRN
The number of cover stories for LRN depends on current market conditions and LRN's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that LRN 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 LRN'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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Check out Historical Fundamental Analysis of LRN to cross-verify your projections. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.