White Energy Stock Market Value
| WECFF Stock | USD 0.05 0.00 0.00% |
| Symbol | White |
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.
| 10/04/2025 |
| 01/02/2026 |
If you would invest 0.00 in White Energy on October 4, 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 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 | 61.35 | |||
| Information Ratio | 0.1789 | |||
| Maximum Drawdown | 1083.33 | |||
| Value At Risk | (41.67) | |||
| Potential Upside | 71.43 |
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 | 0.1364 | |||
| Jensen Alpha | 25.49 | |||
| Total Risk Alpha | 16.02 | |||
| Sortino Ratio | 0.4232 | |||
| Treynor Ratio | 2.44 |
White Energy Backtested Returns
White Energy is out of control given 3 months investment horizon. White Energy shows Sharpe Ratio of 0.14, which attests that the company had a 0.14 % return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-four different technical indicators, which can help you to evaluate if expected returns of 10.31% are justified by taking the suggested risk. Use White Energy Market Risk Adjusted Performance of 2.45, mean deviation of 57.4, and Downside Deviation of 61.35 to evaluate company specific risk that cannot be diversified away. White Energy holds a performance score of 10 on a scale of zero to a hundred. The firm maintains a market beta of 10.65, 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 total risk alpha, downside variance, day median price, as well as the relationship between the maximum drawdown and skewness , to analyze future returns on White Energy.
Auto-correlation | -0.24 |
Weak reverse predictability
White Energy has weak reverse predictability. Overlapping area represents the amount of predictability between White Energy time series from 4th of October 2025 to 18th of November 2025 and 18th of November 2025 to 2nd 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 -0.24 indicates that over 24.0% of current White Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
White Energy lagged returns against current returns
Autocorrelation, which is White Energy pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting White Energy's pink sheet expected returns. We can calculate the autocorrelation of White Energy returns to help us make a trade decision. For example, suppose you find that White Energy has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
White Energy regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If White Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if White Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in White Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
White Energy Lagged Returns
When evaluating White Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of White Energy pink sheet have on its future price. White Energy autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, White Energy autocorrelation shows the relationship between White Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in White Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in White Pink Sheet
White Energy financial ratios help investors to determine whether White Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in White with respect to the benefits of owning White Energy security.