White Energy Stock Technical Analysis
| WECFF Stock | USD 0.09 0.05 125.00% |
As of the 29th of January, White Energy maintains the Downside Deviation of 60.92, market risk adjusted performance of 2.78, and Mean Deviation of 36.2. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of White Energy, as well as the relationship between them. Please check out White Energy information ratio and the relationship between the maximum drawdown and skewness to decide if White Energy is priced fairly, providing market reflects its latest price of 0.09 per share. As White Energy appears to be a penny stock we also urge to confirm its total risk alpha numbers.
White Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as White, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WhiteWhite |
White Energy '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 White Energy'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 White Energy.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in White Energy on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding White Energy or generate 0.0% return on investment in White Energy over 90 days. White Energy is related to or competes with ClearVue Technologies, Western Uranium, Eco (Atlantic), Guardian Exploration, NXT Energy, and Purepoint Uranium. White Energy Company Limited engages in coal technology, coal mining, and exploration businesses in Australia, Indonesia... More
White Energy 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 White Energy'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 White Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 60.92 | |||
| Information Ratio | 0.1718 | |||
| Maximum Drawdown | 480.0 | |||
| Value At Risk | (40.00) | |||
| Potential Upside | 116.67 |
White Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for White Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as White Energy's standard deviation. In reality, there are many statistical measures that can use White Energy historical prices to predict the future White Energy's volatility.| Risk Adjusted Performance | 0.1369 | |||
| Jensen Alpha | 13.24 | |||
| Total Risk Alpha | 6.63 | |||
| Sortino Ratio | 0.2215 | |||
| Treynor Ratio | 2.77 |
White Energy January 29, 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 | 0.1369 | |||
| Market Risk Adjusted Performance | 2.78 | |||
| Mean Deviation | 36.2 | |||
| Semi Deviation | 20.16 | |||
| Downside Deviation | 60.92 | |||
| Coefficient Of Variation | 578.94 | |||
| Standard Deviation | 78.55 | |||
| Variance | 6170.05 | |||
| Information Ratio | 0.1718 | |||
| Jensen Alpha | 13.24 | |||
| Total Risk Alpha | 6.63 | |||
| Sortino Ratio | 0.2215 | |||
| Treynor Ratio | 2.77 | |||
| Maximum Drawdown | 480.0 | |||
| Value At Risk | (40.00) | |||
| Potential Upside | 116.67 | |||
| Downside Variance | 3710.82 | |||
| Semi Variance | 406.27 | |||
| Expected Short fall | (171.31) | |||
| Skewness | 4.11 | |||
| Kurtosis | 18.67 |
White Energy Backtested Returns
White Energy is out of control given 3 months investment horizon. White Energy shows Sharpe Ratio of 0.18, which attests that the company had a 0.18 % return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 14.46% are justified by taking the suggested risk. Use White Energy Market Risk Adjusted Performance of 2.78, downside deviation of 60.92, and Mean Deviation of 36.2 to evaluate company specific risk that cannot be diversified away. White Energy holds a performance score of 14 on a scale of zero to a hundred. The firm maintains a market beta of 4.89, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, White Energy will likely underperform. Use White Energy downside variance, rate of daily change, and the relationship between the maximum drawdown and skewness , to analyze future returns on White Energy.
Auto-correlation | 0.45 |
Average predictability
White Energy has average predictability. Overlapping area represents the amount of predictability between White Energy time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 White Energy price movement. The serial correlation of 0.45 indicates that just about 45.0% of current White Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
White Energy 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.
White Energy 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 White Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About White Energy 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 White Energy 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 White Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on White Energy price pattern first instead of the macroeconomic environment surrounding White Energy. By analyzing White Energy'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 White Energy'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 White Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
White Energy January 29, 2026 Technical Indicators
Most technical analysis of White 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 White from various momentum indicators to cycle indicators. When you analyze White 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 | 0.1369 | |||
| Market Risk Adjusted Performance | 2.78 | |||
| Mean Deviation | 36.2 | |||
| Semi Deviation | 20.16 | |||
| Downside Deviation | 60.92 | |||
| Coefficient Of Variation | 578.94 | |||
| Standard Deviation | 78.55 | |||
| Variance | 6170.05 | |||
| Information Ratio | 0.1718 | |||
| Jensen Alpha | 13.24 | |||
| Total Risk Alpha | 6.63 | |||
| Sortino Ratio | 0.2215 | |||
| Treynor Ratio | 2.77 | |||
| Maximum Drawdown | 480.0 | |||
| Value At Risk | (40.00) | |||
| Potential Upside | 116.67 | |||
| Downside Variance | 3710.82 | |||
| Semi Variance | 406.27 | |||
| Expected Short fall | (171.31) | |||
| Skewness | 4.11 | |||
| Kurtosis | 18.67 |
White Energy January 29, 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 White 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 | Huge | ||
| Rate Of Daily Change | 2.25 | ||
| Day Median Price | 0.09 | ||
| Day Typical Price | 0.09 | ||
| Price Action Indicator | 0.03 |
Complementary Tools for White Pink Sheet analysis
When running White Energy's price analysis, check to measure White Energy'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 White Energy is operating at the current time. Most of White Energy's value examination focuses on studying past and present price action to predict the probability of White Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move White Energy's price. Additionally, you may evaluate how the addition of White Energy to your portfolios can decrease your overall portfolio volatility.
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