Code Green Apparel Stock Technical Analysis
| CGAC Stock | USD 0.0001 0.00 0.00% |
As of the 26th of December, Code Green shows the mean deviation of 3.01, and Risk Adjusted Performance of 0.048. Code Green Apparel technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Code Green Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Code, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CodeCode |
Code Green 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.
Code Green Apparel Technical Analysis
The output start index for this execution was sixty with a total number of output elements of one. The Normalized Average True Range is used to analyze tradable apportunities for Code Green Apparel across different markets.
Code Green Apparel Trend Analysis
Use this graph to draw trend lines for Code Green Apparel. You can use it to identify possible trend reversals for Code Green as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Code Green price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Code Green Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Code Green Apparel applied against its price change over selected period. The best fit line has a slop of 0 , which may suggest that Code Green Apparel market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Code Green price change compared to its average price change.About Code Green 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 Code Green Apparel 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 Code Green Apparel based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Code Green Apparel price pattern first instead of the macroeconomic environment surrounding Code Green Apparel. By analyzing Code Green'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 Code Green'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 Code Green specific price patterns or momentum indicators. Please read more on our technical analysis page.
Code Green December 26, 2025 Technical Indicators
Most technical analysis of Code 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 Code from various momentum indicators to cycle indicators. When you analyze Code 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 | 0.048 | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 3.01 | |||
| Coefficient Of Variation | 1827.74 | |||
| Standard Deviation | 13.85 | |||
| Variance | 191.72 | |||
| Information Ratio | 0.0489 | |||
| Jensen Alpha | 0.7899 | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 150.0 | |||
| Skewness | 5.06 | |||
| Kurtosis | 44.43 |
Code Green December 26, 2025 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 Code 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 Code Pink Sheet analysis
When running Code Green's price analysis, check to measure Code Green'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 Code Green is operating at the current time. Most of Code Green's value examination focuses on studying past and present price action to predict the probability of Code Green's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Code Green's price. Additionally, you may evaluate how the addition of Code Green to your portfolios can decrease your overall portfolio volatility.
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