Smart Closet Stock Technical Analysis
| ZSYC Stock | USD 0.0005 0.00 0.00% |
As of the 13th of February 2026, Smart Closet has the Coefficient Of Variation of (812.40), risk adjusted performance of (0.09), and Variance of 151.44. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Smart Closet, as well as the relationship between them.
Smart Closet Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Smart, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartSmart |
Smart Closet '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 Smart Closet'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 Smart Closet.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Smart Closet on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Smart Closet or generate 0.0% return on investment in Smart Closet over 90 days. Smart Closet is related to or competes with SavMobi Technology, Close Brothers, Laurentian Bank, NB Private, Centuria Capital, CoinShares International, and Dah Sing. Smart Closet Inc., through its subsidiary Resources Printing Graphics, Inc., provides printing and a multitude of other ... More
Smart Closet 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 Smart Closet'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 Smart Closet upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 99.98 |
Smart Closet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smart Closet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smart Closet's standard deviation. In reality, there are many statistical measures that can use Smart Closet historical prices to predict the future Smart Closet's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (1.57) | |||
| Total Risk Alpha | (2.60) | |||
| Treynor Ratio | (2.36) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Smart Closet's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Smart Closet February 13, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (2.35) | |||
| Mean Deviation | 2.98 | |||
| Coefficient Of Variation | (812.40) | |||
| Standard Deviation | 12.31 | |||
| Variance | 151.44 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (1.57) | |||
| Total Risk Alpha | (2.60) | |||
| Treynor Ratio | (2.36) | |||
| Maximum Drawdown | 99.98 | |||
| Skewness | (8.12) | |||
| Kurtosis | 66.0 |
Smart Closet Backtested Returns
Smart Closet owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had a -0.13 % return per unit of risk over the last 3 months. Smart Closet exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Smart Closet's Coefficient Of Variation of (812.40), variance of 151.44, and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The entity has a beta of 0.64, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Smart Closet's returns are expected to increase less than the market. However, during the bear market, the loss of holding Smart Closet is expected to be smaller as well. At this point, Smart Closet has a negative expected return of -1.64%. Please make sure to validate Smart Closet's coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and day typical price , to decide if Smart Closet performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Smart Closet has no correlation between past and present. Overlapping area represents the amount of predictability between Smart Closet time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 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 Smart Closet price movement. The serial correlation of 0.0 indicates that just 0.0% of current Smart Closet price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Smart Closet 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.
Smart Closet Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Smart Closet across different markets.
About Smart Closet 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 Smart Closet 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 Smart Closet based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Smart Closet price pattern first instead of the macroeconomic environment surrounding Smart Closet. By analyzing Smart Closet'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 Smart Closet'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 Smart Closet specific price patterns or momentum indicators. Please read more on our technical analysis page.
Smart Closet February 13, 2026 Technical Indicators
Most technical analysis of Smart 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 Smart from various momentum indicators to cycle indicators. When you analyze Smart 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 | (0.09) | |||
| Market Risk Adjusted Performance | (2.35) | |||
| Mean Deviation | 2.98 | |||
| Coefficient Of Variation | (812.40) | |||
| Standard Deviation | 12.31 | |||
| Variance | 151.44 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (1.57) | |||
| Total Risk Alpha | (2.60) | |||
| Treynor Ratio | (2.36) | |||
| Maximum Drawdown | 99.98 | |||
| Skewness | (8.12) | |||
| Kurtosis | 66.0 |
Smart Closet February 13, 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 Smart 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 | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Smart Pink Sheet analysis
When running Smart Closet's price analysis, check to measure Smart Closet'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 Smart Closet is operating at the current time. Most of Smart Closet's value examination focuses on studying past and present price action to predict the probability of Smart Closet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smart Closet's price. Additionally, you may evaluate how the addition of Smart Closet to your portfolios can decrease your overall portfolio volatility.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Equity Valuation Check real value of public entities based on technical and fundamental data |