Solana Crypto Coin Forecast - Simple Regression
| SOL Crypto | USD 124.10 2.93 2.31% |
Solana Crypto Coin outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Solana crypto prices and determine the direction of Solana's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Solana's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the RSI of Solana's share price is approaching 39. This usually implies 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 Solana, making its price go up or down. Momentum 39
Sell Extended
Oversold | Overbought |
Using Solana hype-based prediction, you can estimate the value of Solana from the perspective of Solana response to recently generated media hype and the effects of current headlines on its competitors.
Solana Hype to Price Pattern
Investor biases related to Solana's public news can be used to forecast risks associated with an investment in Solana. The trend in average sentiment can be used to explain how an investor holding Solana can time the market purely based on public headlines and social activities around Solana. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding crypto coins that are overvalued or undervalued based on market sentiment. The correlation of Solana's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Solana.
The Simple Regression forecasted value of Solana on the next trading day is expected to be 124.43 with a mean absolute deviation of 7.72 and the sum of the absolute errors of 478.72. Solana after-hype prediction price | .CC 124.1 |
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.
Solana |
Solana Additional Predictive Modules
Most predictive techniques to examine Solana price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Solana using various technical indicators. When you analyze Solana 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 |
Solana Simple Regression Price Forecast For the 28th of January
Given 90 days horizon, the Simple Regression forecasted value of Solana on the next trading day is expected to be 124.43 with a mean absolute deviation of 7.72, mean absolute percentage error of 98.99, and the sum of the absolute errors of 478.72.Please note that although there have been many attempts to predict Solana 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 Solana's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Solana Crypto Coin Forecast Pattern
Solana Forecasted Value
In the context of forecasting Solana'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. Solana's downside and upside margins for the forecasting period are 120.42 and 128.45, respectively. We have considered Solana'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 Regression forecasting method's relative quality and the estimations of the prediction error of Solana crypto coin data series using in forecasting. Note that when a statistical model is used to represent Solana 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 | 124.5434 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 7.7213 |
| MAPE | Mean absolute percentage error | 0.0556 |
| SAE | Sum of the absolute errors | 478.7186 |
Predictive Modules for Solana
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Solana. 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.Solana After-Hype Price Density Analysis
As far as predicting the price of Solana 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 Solana 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 Solana, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Solana Estimiated After-Hype Price Volatility
In the context of predicting Solana's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Solana's historical news coverage. Solana's after-hype downside and upside margins for the prediction period are 120.08 and 128.12, respectively. We have considered Solana'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
Solana is very risky at this time. Analysis and calculation of next after-hype price of Solana is based on 3 months time horizon.
Solana Crypto Coin Price Outlook Analysis
Have you ever been surprised when a price of a Cryptocurrency such as Solana is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Solana 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 Solana, 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 |
0.55 | 4.01 | 3.66 | 0.95 | 4 Events / Month | 1 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
124.10 | 124.10 | 0.00 |
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Solana Hype Timeline
Solana is at this time traded for 124.10. The entity has historical hype elasticity of 3.66, and average elasticity to hype of competition of 0.95. Solana is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 60.21%. The immediate return on the next news is expected to be very small, whereas the daily expected return is at this time at -0.55%. %. The volatility of related hype on Solana is about 232.24%, with the expected price after the next announcement by competition of 125.05. Assuming the 90 days trading horizon the next expected press release will be in about 4 days. Check out Historical Fundamental Analysis of Solana to cross-verify your projections.Solana Related Hype Analysis
Having access to credible news sources related to Solana's direct competition is more important than ever and may enhance your ability to predict Solana's future price movements. Getting to know how Solana'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 Solana may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| STETH | Staked Ether | 0.00 | 0 per month | 0.00 | (0.12) | 6.45 | (5.38) | 20.42 | |
| CRO | Cronos | 0.01 | 6 per month | 0.00 | (0.14) | 9.09 | (9.09) | 20.00 | |
| WBTC | Wrapped Bitcoin | 0.00 | 0 per month | 0.00 | (0.18) | 3.37 | (5.11) | 12.57 | |
| XMR | Monero | 16.13 | 3 per month | 4.27 | 0.09 | 6.84 | (8.54) | 58.33 | |
| USDT | Tether | 0.00 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LINK | Chainlink | (0.59) | 5 per month | 0.00 | (0.15) | 7.06 | (6.27) | 20.41 | |
| USDC | USD Coin | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FTT | FTX Token | 0.00 | 4 per month | 0.00 | (0.23) | 8.00 | (9.43) | 24.33 | |
| XLM | Stellar | (0.01) | 4 per month | 0.00 | (0.17) | 5.00 | (6.25) | 17.79 |
Other Forecasting Options for Solana
For every potential investor in Solana, whether a beginner or expert, Solana's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Solana Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Solana. Basic forecasting techniques help filter out the noise by identifying Solana's price trends.Solana 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 Solana crypto coin to make a market-neutral strategy. Peer analysis of Solana could also be used in its relative valuation, which is a method of valuing Solana by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Solana Market Strength Events
Market strength indicators help investors to evaluate how Solana 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 Solana shares will generate the highest return on investment. By undertsting and applying Solana crypto coin market strength indicators, traders can identify Solana entry and exit signals to maximize returns.
| Accumulation Distribution | 621.57 | |||
| Daily Balance Of Power | (20.93) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 124.07 | |||
| Day Typical Price | 124.08 | |||
| Price Action Indicator | (1.44) | |||
| Period Momentum Indicator | (2.93) | |||
| Relative Strength Index | 39.26 |
Solana Risk Indicators
The analysis of Solana'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 Solana's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting solana 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 | 2.7 | |||
| Standard Deviation | 3.96 | |||
| Variance | 15.65 |
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 Solana
The number of cover stories for Solana depends on current market conditions and Solana's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Solana 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 Solana'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 Solana to cross-verify your projections. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.