Scilex Holding Stock Forecast - Simple Regression
| SCLXW Stock | 0.13 0.00 0.00% |
The Simple Regression forecasted value of Scilex Holding on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.36. Scilex Stock Forecast is based on your current time horizon.
At this time, the value of RSI of Scilex Holding's share price is approaching 46. This usually implies 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 Scilex Holding, making its price go up or down. Momentum 46
Impartial
Oversold | Overbought |
Using Scilex Holding hype-based prediction, you can estimate the value of Scilex Holding from the perspective of Scilex Holding response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Scilex Holding on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.36. Scilex Holding after-hype prediction price | USD 0.13 |
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 World Market Map 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 various price indices. Scilex Holding Additional Predictive Modules
Most predictive techniques to examine Scilex price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Scilex using various technical indicators. When you analyze Scilex 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 |
Scilex Holding Simple Regression Price Forecast For the 23rd of January
Given 90 days horizon, the Simple Regression forecasted value of Scilex Holding on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.36.Please note that although there have been many attempts to predict Scilex 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 Scilex Holding's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Scilex Holding Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Scilex Holding stock data series using in forecasting. Note that when a statistical model is used to represent Scilex Holding 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 | 111.8896 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0386 |
| MAPE | Mean absolute percentage error | 0.2405 |
| SAE | Sum of the absolute errors | 2.357 |
Predictive Modules for Scilex Holding
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scilex Holding. 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 Scilex Holding'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.
Scilex Holding After-Hype Price Prediction Density Analysis
As far as predicting the price of Scilex Holding 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 Scilex Holding 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 Scilex Holding, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Scilex Holding Estimiated After-Hype Price Volatility
In the context of predicting Scilex Holding's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Scilex Holding's historical news coverage. Scilex Holding's after-hype downside and upside margins for the prediction period are 0.13 and 0.13, respectively. We have considered Scilex Holding'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
Scilex Holding is very steady at this time. Analysis and calculation of next after-hype price of Scilex Holding is based on 3 months time horizon.
Scilex Holding Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Scilex Holding is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Scilex Holding 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 Scilex Holding, 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 | 2 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.13 | 0.13 | 0.00 |
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Scilex Holding Hype Timeline
Scilex Holding is at this time traded for 0.13. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Scilex is anticipated 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 anticipated to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Scilex Holding is about 0.0%, with the expected price after the next announcement by competition of 0.13. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next anticipated press release will be within a week. Check out World Market Map 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 various price indices.Scilex Holding Related Hype Analysis
Having access to credible news sources related to Scilex Holding's direct competition is more important than ever and may enhance your ability to predict Scilex Holding's future price movements. Getting to know how Scilex Holding'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 Scilex Holding may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ASRT | Assertio Therapeutics | (0.34) | 9 per month | 3.19 | (0.02) | 6.07 | (5.00) | 24.64 | |
| ADAG | Adagene | 0.00 | 0 per month | 5.41 | 0.05 | 8.79 | (8.59) | 23.40 | |
| GANX | Gain Therapeutics | (2.28) | 13 per month | 9.91 | 0.05 | 11.36 | (9.78) | 71.49 | |
| RVMD | Revolution Medicines | 0.00 | 0 per month | 0.45 | 0.30 | 5.23 | (2.43) | 32.00 | |
| CRVO | CervoMed | 0.00 | 0 per month | 0.00 | (0.04) | 6.31 | (5.54) | 17.75 | |
| DXR | Daxor | 0.00 | 0 per month | 3.84 | (0.01) | 4.22 | (4.74) | 19.02 | |
| ACET | Adicet Bio | 0.00 | 0 per month | 0.00 | (0.22) | 6.18 | (7.60) | 16.66 | |
| NRXP | NRX Pharmaceuticals | 0.00 | 0 per month | 0.00 | (0.1) | 7.34 | (8.02) | 21.29 | |
| LITS | Lite Strategy | (0.05) | 6 per month | 0.00 | (0.08) | 7.73 | (9.52) | 26.34 | |
| NSRX | Nasus Pharma | 0.00 | 0 per month | 0.00 | (0.04) | 6.99 | (7.52) | 36.48 |
Scilex Holding 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 Scilex Holding stock to make a market-neutral strategy. Peer analysis of Scilex Holding could also be used in its relative valuation, which is a method of valuing Scilex Holding by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Scilex Holding Market Strength Events
Market strength indicators help investors to evaluate how Scilex Holding stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Scilex Holding shares will generate the highest return on investment. By undertsting and applying Scilex Holding stock market strength indicators, traders can identify Scilex Holding entry and exit signals to maximize returns.
| Accumulation Distribution | 0.27 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.13 | |||
| Day Typical Price | 0.13 | |||
| Market Facilitation Index | 0.04 | |||
| Relative Strength Index | 46.33 |
Story Coverage note for Scilex Holding
The number of cover stories for Scilex Holding depends on current market conditions and Scilex Holding's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Scilex Holding 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 Scilex Holding'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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Scilex Holding Short Properties
Scilex Holding's future price predictability will typically decrease when Scilex Holding's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Scilex Holding often depends not only on the future outlook of the potential Scilex Holding'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. Scilex Holding's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 7 M | |
| Cash And Short Term Investments | 3.3 M |
Additional Tools for Scilex Stock Analysis
When running Scilex Holding's price analysis, check to measure Scilex Holding'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 Scilex Holding is operating at the current time. Most of Scilex Holding's value examination focuses on studying past and present price action to predict the probability of Scilex Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scilex Holding's price. Additionally, you may evaluate how the addition of Scilex Holding to your portfolios can decrease your overall portfolio volatility.