Mliuz SA (Brazil) Technical Analysis
| CASH3 Stock | BRL 3.88 0.33 9.30% |
As of the 24th of March, Mliuz SA indicates a price level of 3.88 per share. Price-based signals reflect Risk Adjusted Performance of 0.0144, mean deviation of 2.49, and Downside Deviation of 2.94. The model quantifies price stability and directional movement. Relative volatility positioning is benchmarked against peers.
Mliuz SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mliuz, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MliuzMliuz |
What if' Analysis
Historical what-if analysis for Mliuz SA is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. Used properly, this review provides context for deciding whether Mliuz SA's historical reward profile was stable enough to support the current thesis.
| 12/24/2025 |
| 03/24/2026 |
Starting with 0.00 in Mliuz SA on December 24, 2025 and exiting today would earn 0.00 in total gains. Overall, this is a 0.0% cumulative return in Mliuz SA in aggregate over 90 days. Mliuz SA has comparable peers such as Oi SA, Oi SA, Telecomunicaes Brasileiras, and Telecomunicaes Brasileiras. Its portal that offers free of charge, discount coupons from the online stores and returns part of the amount spent dire... More
Mliuz SA Upside and Downside Indicators Snapshot
Upside and downside indicators for Mliuz SA summarize momentum balance and potential range context for the stock. All metrics are derived from available inputs and shown for reference.
| Downside Deviation | 2.94 | |||
| Information Ratio | 0.0246 | |||
| Maximum Drawdown | 15.14 | |||
| Value At Risk | -5.29 | |||
| Potential Upside | 7.83 |
Mliuz SA Volatility and Risk Indicators Signals
Historical risk measures for Mliuz SA describe how the price has varied across observation periods. Market-based inputs including price and volume form the foundation of this dataset.| Risk Adjusted Performance | 0.0144 | |||
| Jensen Alpha | 0.12 | |||
| Total Risk Alpha | 0.3106 | |||
| Sortino Ratio | 0.0295 | |||
| Treynor Ratio | 0.0127 |
The mean reversion principle applied to Mliuz SA's suggests that neither prolonged outperformance nor underperformance is permanent. Identifying the root cause of Mliuz SA's price dislocation is essential before acting on a mean reversion signal.
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 | 0.0144 | |||
| Market Risk Adjusted Performance | 0.0227 | |||
| Mean Deviation | 2.49 | |||
| Semi Deviation | 2.74 | |||
| Downside Deviation | 2.94 | |||
| Coefficient Of Variation | 12190.25 | |||
| Standard Deviation | 3.52 | |||
| Variance | 12.4 | |||
| Information Ratio | 0.0246 | |||
| Jensen Alpha | 0.12 | |||
| Total Risk Alpha | 0.3106 | |||
| Sortino Ratio | 0.0295 | |||
| Treynor Ratio | 0.0127 | |||
| Maximum Drawdown | 15.14 | |||
| Value At Risk | -5.29 | |||
| Potential Upside | 7.83 | |||
| Downside Variance | 8.64 | |||
| Semi Variance | 7.51 | |||
| Expected Short fall | -3.18 | |||
| Skewness | 0.9966 | |||
| Kurtosis | 1.79 |
Mliuz SA Backtested Returns
Mliuz SA posts a relatively elevated risk exposure during the defined timeframe. It shows a risk-adjusted return measure of close to zero, defining risk-normalized returns. We identified twenty-nine technical indicators influencing the company's volatility profile. Please review metrics such as risk-adjusted performance of 0.0144, mean deviation of 2.49, and Downside Deviation of 2.94 to examine volatility dispersion. The firm holds a Beta (Systematic Risk) of 1.49, which means elevated sensitivity to broad market movements. Market upswings tend to lift Mliuz SA more than average, but downturns carry a proportionally larger impact on returns. Mliuz SA currently holds a risk of 3.72%.
Auto-correlation | -0.13 |
Insignificant reverse predictability
The autocorrelation profile for Mliuz SA registers insignificant reverse predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Mliuz SA's near-term price behavior. A serial correlation of -0.13 indicates that less than 13.0% of current Mliuz SA price fluctuations can be explained by its historical price movements. Given that Mliuz SA has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Price and volume behavior for Mliuz SA form the basis of this analysis. Indicators include moving averages, RSI, and price correlation measures.
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 Mliuz SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Mliuz SA evaluates price structure, momentum, and volatility clustering. Technical signals complement fundamental exposure context. Mliuz SA has a market cap of 769.79 M, P/E of 37.39, ROE of -10.86%.
The analytics block for Mliuz SA relies on periodic company reporting and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardMliuz SA Technical Indicators
A technical review of Mliuz SA can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0144 | |||
| Market Risk Adjusted Performance | 0.0227 | |||
| Mean Deviation | 2.49 | |||
| Semi Deviation | 2.74 | |||
| Downside Deviation | 2.94 | |||
| Coefficient Of Variation | 12190.25 | |||
| Standard Deviation | 3.52 | |||
| Variance | 12.4 | |||
| Information Ratio | 0.0246 | |||
| Jensen Alpha | 0.12 | |||
| Total Risk Alpha | 0.3106 | |||
| Sortino Ratio | 0.0295 | |||
| Treynor Ratio | 0.0127 | |||
| Maximum Drawdown | 15.14 | |||
| Value At Risk | -5.29 | |||
| Potential Upside | 7.83 | |||
| Downside Variance | 8.64 | |||
| Semi Variance | 7.51 | |||
| Expected Short fall | -3.18 | |||
| Skewness | 0.9966 | |||
| Kurtosis | 1.79 |
March 24, 2026 Daily Trend Indicators
A technical review of Mliuz SA can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Accumulation Distribution | 280,934 | ||
| Daily Balance Of Power | 0.89 | ||
| Rate Of Daily Change | 1.09 | ||
| Day Median Price | 3.71 | ||
| Day Typical Price | 3.76 | ||
| Price Action Indicator | 0.34 |
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