SOL Technical Analysis
| SOL Crypto | USD 94.89 6.83 7.76% |
As of the 18th of March 2026, SOL is valued at 94.89 per share. Indicator levels currently stand at risk adjusted performance of -0.06, and Variance of 23.07. Historical price dispersion and volume trends are incorporated into the evaluation. Values are analyzed in relation to historical volatility thresholds.
SOL Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SOL, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SOLSOL |
What if' Analysis
Historical what-if analysis for SOL is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. Valuation should still be reviewed through market value, enterprise value, revenue scale, and balance-sheet quality. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/18/2025 |
| 03/18/2026 |
If you invested 0.00 in SOL on December 18, 2025 and closed the position today, you would generate 0.00 in overall gains. That corresponds to a 0.0% net return in SOL on balance over 90 days. SOL competes with or is related to EigenLayer, EUR CoinVertible, Morpho, Allora, and DIA. The comparison helps frame competitive context. SOL is peer-to-peer digital currency powered by the Blockchain technology.
SOL Momentum Range Indicators Dashboard
Upside and downside indicators for SOL summarize momentum balance and potential range context for the crypto asset. The indicators are presented as neutral context for price dynamics.
| Information Ratio | -0.08 | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | -7.31 | |||
| Potential Upside | 7.6 |
SOL Volatility and Risk Indicators Signals
This section presents risk metrics that describe SOL's historical price variability. The measures summarize variability without implying direction.| Risk Adjusted Performance | -0.06 | |||
| Jensen Alpha | -0.44 | |||
| Total Risk Alpha | -0.16 | |||
| Treynor Ratio | 0.5901 |
The mean reversion effect in SOL is stronger when the initial deviation was driven by sentiment rather than fundamental change. Identifying the root cause of SOL's price dislocation is essential before acting.
Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.06 | |||
| Market Risk Adjusted Performance | 0.6001 | |||
| Mean Deviation | 3.45 | |||
| Coefficient Of Variation | -1,210 | |||
| Standard Deviation | 4.8 | |||
| Variance | 23.07 | |||
| Information Ratio | -0.08 | |||
| Jensen Alpha | -0.44 | |||
| Total Risk Alpha | -0.16 | |||
| Treynor Ratio | 0.5901 | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | -7.31 | |||
| Potential Upside | 7.6 | |||
| Skewness | -0.19 | |||
| Kurtosis | 1.41 |
SOL Backtested Returns
SOL demonstrates a very high risk exposure under current market conditions. It records a risk-adjusted return measure of -0.0699, measuring return instability during 3 months. We identified twenty-four technical indicators influencing the company's volatility profile. Please assess metrics such as risk-adjusted performance of -0.06, and Variance of 23.07 to confirm statistical stability. The crypto maintains a market beta of -0.69, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on SOL tend to move in the opposite direction, though by a smaller magnitude. During a bear market, however, SOL is likely to outperform the market.
Auto-correlation | -0.43 |
Modest reverse predictability
Comparing SOL's price behavior from 18th of December 2025 to 1st of February 2026 with the period from 1st of February 2026 to 18th of March 2026 produces modest reverse predictability. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of SOL may be projected. The coefficient of -0.43 links just about 43.0% of SOL's present price action to its own historical movements. Given that SOL has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 21.21 |
Technical analysis for SOL examines price and volume behavior across market regimes. Common inputs include moving averages, RSI, regressions, and price-return correlations.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SOL volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of SOL evaluates venue price structure, momentum, and volatility clustering in fragmented markets. Range expansion increases sensitivity to execution and spread conditions.
Unless otherwise specified, data for SOL is compiled from public market feeds and reference sources and standardized for comparability. Updates may occur throughout the day.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardSOL Technical Indicators
Technical analysis of SOL is useful because it helps investors judge whether the current trend still looks durable or is beginning to weaken. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.06 | |||
| Market Risk Adjusted Performance | 0.6001 | |||
| Mean Deviation | 3.45 | |||
| Coefficient Of Variation | -1,210 | |||
| Standard Deviation | 4.8 | |||
| Variance | 23.07 | |||
| Information Ratio | -0.08 | |||
| Jensen Alpha | -0.44 | |||
| Total Risk Alpha | -0.16 | |||
| Treynor Ratio | 0.5901 | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | -7.31 | |||
| Potential Upside | 7.6 | |||
| Skewness | -0.19 | |||
| Kurtosis | 1.41 |
March 18, 2026 Daily Trend Indicators
Technical analysis of SOL is useful because it helps investors judge whether the current trend still looks durable or is beginning to weaken. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Accumulation Distribution | 0.04 | ||
| Daily Balance Of Power | 1.81 | ||
| Rate Of Daily Change | 1.08 | ||
| Day Median Price | 95.07 | ||
| Day Typical Price | 95.01 | ||
| Price Action Indicator | 3.24 | ||
| Market Facilitation Index | 3.77 |
More Resources for SOL Crypto Coin Analysis
Reviewing SOL commonly begins with financial statements and performance trends. Ratios and trend metrics help frame SOL's operating context across reporting periods.SOL has a market cap of 88.76 B. Review World Market Map for broader portfolio context. This includes a position in SOL inside the allocation mix. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in employment. SOL currently shows market cap of 88.76 Billion. SOL data on this page supports broader research - the resources below add portfolio-level context. Within the Blockchain space, SOL peer comparison and risk tools below help frame relative strengths and weaknesses. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.