CareCloud Stock Market Value
| CCLDO Stock | 27.48 0.02 0.07% |
| Symbol | CareCloud |
CareCloud's market capitalization and book value each provide useful but distinct information about the business. Together, market value, book value, and intrinsic value form a multi-dimensional view.
CareCloud intrinsic value attempts to capture underlying worth, separate from current trading levels. CareCloud's market price is the outcome of continuous interaction between buyers and sellers.
What-If Analysis
Backtesting a what-if scenario on CareCloud shows how the stock may have behaved if the position had been entered, held, or resized under different historical assumptions. In practice, this review provides context for deciding whether CareCloud's historical reward profile was stable enough to support the current thesis.
| 02/06/2026 |
| 05/07/2026 |
Allocating 0.00 to CareCloud on February 6, 2026 and holding to today would generate 0.00 in net return. The result is a 0.0% net return in CareCloud in aggregate measured over 90 days. Related stock peers for CareCloud include EUDA Health, OneMedNet Corp, American Well, Helius Medical, Sol Gel, Zentalis Pharmaceuticals, and Metagenomi Common. More
CareCloud Upside and Downside Indicators Signals
These indicators describe how CareCloud momentum evolves across recent price ranges. The readings quantify how far price has moved within its recent directional range.
| Downside Deviation | 0.6979 | |||
| Information Ratio | 0.154 | |||
| Maximum Drawdown | 4.44 | |||
| Value At Risk | -0.79 | |||
| Potential Upside | 1.37 |
Market Risk Indicators for CareCloud Signals
The risk context for CareCloud is expressed through volatility and drawdown-related metrics. Value-at-risk estimates translate volatility into a probability-weighted loss threshold for a given confidence level.| Risk Adjusted Performance | 0.17 | |||
| Jensen Alpha | 0.1347 | |||
| Total Risk Alpha | 0.1283 | |||
| Sortino Ratio | 0.1817 | |||
| Treynor Ratio | 0.6637 |
Mean reversion setups in CareCloud emerge when price has deviated materially from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in CareCloud. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in CareCloud. The mean reversion signal gains reliability when combined with fundamental confirmation for CareCloud.
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 | 0.17 | |||
| Market Risk Adjusted Performance | 0.6737 | |||
| Mean Deviation | 0.5191 | |||
| Semi Deviation | 0.2981 | |||
| Downside Deviation | 0.6979 | |||
| Coefficient Of Variation | 561.32 | |||
| Standard Deviation | 0.8236 | |||
| Variance | 0.6783 | |||
| Information Ratio | 0.154 | |||
| Jensen Alpha | 0.1347 | |||
| Total Risk Alpha | 0.1283 | |||
| Sortino Ratio | 0.1817 | |||
| Treynor Ratio | 0.6637 | |||
| Maximum Drawdown | 4.44 | |||
| Value At Risk | -0.79 | |||
| Potential Upside | 1.37 | |||
| Downside Variance | 0.4871 | |||
| Semi Variance | 0.0888 | |||
| Expected Short fall | -0.62 | |||
| Skewness | 2.22 | |||
| Kurtosis | 10.79 |
CareCloud Backtested Returns
Over the selected 3 months, CareCloud demonstrates a very low volatility profile. It exhibits a Sharpe Ratio (Efficiency) of 0.18, highlighting adjusted efficiency metrics. We identified thirty technical indicators influencing the company's volatility profile. Please analyze metrics such as Downside Deviation of 0.6979, risk-adjusted performance of 0.17, and mean deviation of 0.5191 to assess dispersion and downside exposure. CareCloud has a performance score of 14 on a scale of 0 to 100. The company shows a Beta (Market Risk) of 0.21, which means very low measured sensitivity to broad market movements. With a sub-1 beta, CareCloud typically participates in market rallies at a reduced pace while often limiting downside exposure. CareCloud today shows a risk of 0.83%.
Auto-correlation | 0.60 |
Good predictability
Serial correlation analysis for CareCloud reveals good predictability across the intervals from 6th of February 2026 to 23rd of March 2026 and from 23rd of March 2026 to 7th of May 2026. The degree of alignment between past and current intervals shapes expectations about CareCloud's price persistence. At 0.6, roughly 60.0% of current CareCloud price movement aligns with historical price trajectory.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.51 |
Pair Trading with CareCloud
A pair-trading setup around CareCloud shifts the return benchmark from the broad market to a second position, altering the risk profile. Pair trading is less about prediction in isolation and more about identifying relative mispricing between related positions.
Moving together with CareCloud StockMoving Against CareCloud Stock
Pair CorrelationCorrelation Matching
| 0.82 | JNJ | Johnson Johnson Sell-off Trend | PairCorr |
| 0.8 | MCD | McDonalds Earnings Call Today | PairCorr |
| 0.72 | T | ATT Inc | PairCorr |
| 0.59 | GE | GE Aerospace | PairCorr |
| 0.59 | VZ | Verizon Communications | PairCorr |
Tax-loss harvesting on CareCloud requires identifying a similar asset for the 30-day wash-sale period. Assets with high correlation to CareCloud can serve as substitutes while preserving market exposure. Institutional investors use correlation analysis to build CareCloud replacement strategies beyond sector matching. Tax-aware investors benefit from systematic correlation analysis when managing CareCloud positions.
Correlation analysis for CareCloud reveals which assets move together and which provide hedging benefits. Pairing CareCloud with uncorrelated instruments can reduce portfolio volatility without reducing expected returns. Readings above 0.8 indicate strongly correlated pairs with minimal diversification benefit around CareCloud. Investors who monitor CareCloud correlations can identify regime changes before they impact portfolio risk.
CareCloud's hedging context can be framed through Correlation analysis and pair-based evaluation. Cross-sector pair evaluation can broaden the hedging context for CareCloud.