Smartmetric Stock Technical Analysis
In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Smartmetric, as well as the relationship between them.
Smartmetric Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Smartmetric, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartmetricSmartmetric |
Smartmetric '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 Smartmetric's pink sheet 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 Smartmetric.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Smartmetric on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Smartmetric or generate 0.0% return on investment in Smartmetric over 90 days. Smartmetric is related to or competes with Zvelo. SmartMetric, Inc., a development stage company, operates in the technology industry More
Smartmetric 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 Smartmetric's pink sheet 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 Smartmetric upside and downside potential and time the market with a certain degree of confidence.
Smartmetric Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smartmetric's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smartmetric's standard deviation. In reality, there are many statistical measures that can use Smartmetric historical prices to predict the future Smartmetric's volatility.Smartmetric Backtested Returns
Smartmetric owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11 % return per unit of risk over the last 3 months. We have collected data for zero different technical indicators, which can help you to evaluate if expected returns of 14.75% are justified by taking the suggested risk. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Smartmetric are completely uncorrelated.
Auto-correlation | -0.92 |
Near perfect reversele predictability
Smartmetric has near perfect reversele predictability. Overlapping area represents the amount of predictability between Smartmetric time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Smartmetric price movement. The serial correlation of -0.92 indicates that approximately 92.0% of current Smartmetric price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.92 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Smartmetric technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Smartmetric Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Smartmetric volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Smartmetric 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 Smartmetric 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 Smartmetric based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Smartmetric price pattern first instead of the macroeconomic environment surrounding Smartmetric. By analyzing Smartmetric'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 Smartmetric'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 Smartmetric specific price patterns or momentum indicators. Please read more on our technical analysis page.
Complementary Tools for Smartmetric Pink Sheet analysis
When running Smartmetric's price analysis, check to measure Smartmetric'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 Smartmetric is operating at the current time. Most of Smartmetric's value examination focuses on studying past and present price action to predict the probability of Smartmetric's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smartmetric's price. Additionally, you may evaluate how the addition of Smartmetric to your portfolios can decrease your overall portfolio volatility.
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