Microequities Asset (Australia) Technical Analysis
| MAM Stock | 0.49 0.04 7.55% |
As of the 3rd of March, Microequities Asset secures the Risk Adjusted Performance of 0.0184, mean deviation of 1.93, and Downside Deviation of 3.3. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Microequities Asset, as well as the relationship between them.
Microequities Asset Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Microequities, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MicroequitiesMicroequities |
Microequities Asset 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Microequities Asset's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Microequities Asset.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Microequities Asset on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Microequities Asset Management or generate 0.0% return on investment in Microequities Asset over 90 days. Microequities Asset is related to or competes with Commonwealth Bank, Westpac Banking, National Australia, National Australia, National Australia, National Australia, and Commonwealth Bank. Microequities Asset is entity of Australia More
Microequities Asset Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Microequities Asset's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Microequities Asset Management upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.3 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 15.97 | |||
| Value At Risk | (5.08) | |||
| Potential Upside | 4.17 |
Microequities Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Microequities Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Microequities Asset's standard deviation. In reality, there are many statistical measures that can use Microequities Asset historical prices to predict the future Microequities Asset's volatility.| Risk Adjusted Performance | 0.0184 | |||
| Jensen Alpha | 0.0191 | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1746 |
Microequities Asset March 3, 2026 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 | 0.0184 | |||
| Market Risk Adjusted Performance | 0.1846 | |||
| Mean Deviation | 1.93 | |||
| Semi Deviation | 2.15 | |||
| Downside Deviation | 3.3 | |||
| Coefficient Of Variation | 6973.21 | |||
| Standard Deviation | 2.95 | |||
| Variance | 8.68 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0191 | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1746 | |||
| Maximum Drawdown | 15.97 | |||
| Value At Risk | (5.08) | |||
| Potential Upside | 4.17 | |||
| Downside Variance | 10.86 | |||
| Semi Variance | 4.61 | |||
| Expected Short fall | (4.02) | |||
| Skewness | 0.6782 | |||
| Kurtosis | 2.15 |
Microequities Asset Backtested Returns
Microequities Asset has Sharpe Ratio of -0.0162, which conveys that the firm had a -0.0162 % return per unit of risk over the last 3 months. Microequities Asset exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Microequities Asset's Risk Adjusted Performance of 0.0184, downside deviation of 3.3, and Mean Deviation of 1.93 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.18, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Microequities Asset's returns are expected to increase less than the market. However, during the bear market, the loss of holding Microequities Asset is expected to be smaller as well. At this point, Microequities Asset has a negative expected return of -0.0484%. Please make sure to verify Microequities Asset's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to decide if Microequities Asset performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.37 |
Poor reverse predictability
Microequities Asset Management has poor reverse predictability. Overlapping area represents the amount of predictability between Microequities Asset time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Microequities Asset price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Microequities Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Microequities Asset technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Microequities Asset Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Microequities Asset across different markets.
About Microequities Asset Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Microequities Asset Management on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Microequities Asset Management based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Microequities Asset price pattern first instead of the macroeconomic environment surrounding Microequities Asset. By analyzing Microequities Asset's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Microequities Asset's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Microequities Asset specific price patterns or momentum indicators. Please read more on our technical analysis page.
Microequities Asset March 3, 2026 Technical Indicators
Most technical analysis of Microequities help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Microequities from various momentum indicators to cycle indicators. When you analyze Microequities charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0184 | |||
| Market Risk Adjusted Performance | 0.1846 | |||
| Mean Deviation | 1.93 | |||
| Semi Deviation | 2.15 | |||
| Downside Deviation | 3.3 | |||
| Coefficient Of Variation | 6973.21 | |||
| Standard Deviation | 2.95 | |||
| Variance | 8.68 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0191 | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1746 | |||
| Maximum Drawdown | 15.97 | |||
| Value At Risk | (5.08) | |||
| Potential Upside | 4.17 | |||
| Downside Variance | 10.86 | |||
| Semi Variance | 4.61 | |||
| Expected Short fall | (4.02) | |||
| Skewness | 0.6782 | |||
| Kurtosis | 2.15 |
Microequities Asset March 3, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Microequities stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 608.58 | ||
| Daily Balance Of Power | (4.00) | ||
| Rate Of Daily Change | 0.92 | ||
| Day Median Price | 0.50 | ||
| Day Typical Price | 0.49 | ||
| Price Action Indicator | (0.03) |
Additional Tools for Microequities Stock Analysis
When running Microequities Asset's price analysis, check to measure Microequities Asset'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 Microequities Asset is operating at the current time. Most of Microequities Asset's value examination focuses on studying past and present price action to predict the probability of Microequities Asset's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Microequities Asset's price. Additionally, you may evaluate how the addition of Microequities Asset to your portfolios can decrease your overall portfolio volatility.