Esg Inc Stock Technical Analysis
| ESGH Stock | 5.27 0.01 0.19% |
ESG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ESG, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ESGESG |
ESG '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 ESG'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 ESG.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in ESG on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding ESG Inc or generate 0.0% return on investment in ESG over 90 days.
ESG 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 ESG'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 ESG Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.89 | |||
| Information Ratio | 2.0E-4 | |||
| Maximum Drawdown | 33.37 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 5.8 |
ESG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ESG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ESG's standard deviation. In reality, there are many statistical measures that can use ESG historical prices to predict the future ESG's volatility.| Risk Adjusted Performance | 0.0256 | |||
| Jensen Alpha | 0.183 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | 2.0E-4 | |||
| Treynor Ratio | (0.08) |
ESG February 10, 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 | 0.0256 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 2.65 | |||
| Semi Deviation | 4.58 | |||
| Downside Deviation | 4.89 | |||
| Coefficient Of Variation | 4609.94 | |||
| Standard Deviation | 4.58 | |||
| Variance | 20.97 | |||
| Information Ratio | 2.0E-4 | |||
| Jensen Alpha | 0.183 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | 2.0E-4 | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 33.37 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 5.8 | |||
| Downside Variance | 23.94 | |||
| Semi Variance | 20.93 | |||
| Expected Short fall | (2.83) | |||
| Skewness | (0.33) | |||
| Kurtosis | 6.08 |
ESG Inc Backtested Returns
ESG appears to be unstable, given 3 months investment horizon. ESG Inc secures Sharpe Ratio (or Efficiency) of 0.0687, which denotes the company had a 0.0687 % return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for ESG Inc, which you can use to evaluate the volatility of the firm. Please utilize ESG's mean deviation of 2.65, and Downside Deviation of 4.89 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ESG holds a performance score of 5. The firm shows a Beta (market volatility) of -1.06, which means a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning ESG are expected to decrease slowly. On the other hand, during market turmoil, ESG is expected to outperform it slightly. Please check ESG's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether ESG's price patterns will revert.
Auto-correlation | -0.23 |
Weak reverse predictability
ESG Inc has weak reverse predictability. Overlapping area represents the amount of predictability between ESG time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 ESG Inc price movement. The serial correlation of -0.23 indicates that over 23.0% of current ESG price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
ESG 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.
ESG Inc 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 ESG Inc across different markets.
ESG February 10, 2026 Technical Indicators
Most technical analysis of ESG 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 ESG from various momentum indicators to cycle indicators. When you analyze ESG 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 | 0.0256 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 2.65 | |||
| Semi Deviation | 4.58 | |||
| Downside Deviation | 4.89 | |||
| Coefficient Of Variation | 4609.94 | |||
| Standard Deviation | 4.58 | |||
| Variance | 20.97 | |||
| Information Ratio | 2.0E-4 | |||
| Jensen Alpha | 0.183 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | 2.0E-4 | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 33.37 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 5.8 | |||
| Downside Variance | 23.94 | |||
| Semi Variance | 20.93 | |||
| Expected Short fall | (2.83) | |||
| Skewness | (0.33) | |||
| Kurtosis | 6.08 |
ESG February 10, 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 ESG 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 | 10.21 | ||
| Daily Balance Of Power | (0.11) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 5.25 | ||
| Day Typical Price | 5.25 | ||
| Price Action Indicator | 0.02 | ||
| Market Facilitation Index | 0.0001 |
Complementary Tools for ESG Pink Sheet analysis
When running ESG's price analysis, check to measure ESG'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 ESG is operating at the current time. Most of ESG's value examination focuses on studying past and present price action to predict the probability of ESG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ESG's price. Additionally, you may evaluate how the addition of ESG to your portfolios can decrease your overall portfolio volatility.
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