Us Wind Farming Stock Technical Analysis
| USWF Stock | USD 0.0001 0.0001 50.00% |
As of the 27th of January, US Wind owns the Risk Adjusted Performance of 0.0496, standard deviation of 13.85, and Mean Deviation of 3.01. Concerning fundamental indicators, the technical analysis model makes it possible for you to check potential technical drivers of US Wind Farming, as well as the relationship between them. Please validate US Wind Farming risk adjusted performance, variance, as well as the relationship between the Variance and kurtosis to decide if US Wind Farming is priced correctly, providing market reflects its prevailing price of 1.0E-4 per share. As US Wind Farming appears to be a penny stock we also recommend to double-check its information ratio numbers.
US Wind Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as USWF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to USWFUSWF |
US Wind '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 US Wind'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 US Wind.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in US Wind on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding US Wind Farming or generate 0.0% return on investment in US Wind over 90 days. Wind Farming, Inc. operates as a renewable energy developer and operator in the United States More
US Wind 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 US Wind'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 US Wind Farming upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0489 | |||
| Maximum Drawdown | 100.0 |
US Wind Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for US Wind's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US Wind's standard deviation. In reality, there are many statistical measures that can use US Wind historical prices to predict the future US Wind's volatility.| Risk Adjusted Performance | 0.0496 | |||
| Jensen Alpha | 0.8546 | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.50) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US Wind'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.
US Wind January 27, 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 | 0.0496 | |||
| Market Risk Adjusted Performance | (0.49) | |||
| Mean Deviation | 3.01 | |||
| Coefficient Of Variation | 1827.74 | |||
| Standard Deviation | 13.85 | |||
| Variance | 191.72 | |||
| Information Ratio | 0.0489 | |||
| Jensen Alpha | 0.8546 | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.50) | |||
| Maximum Drawdown | 100.0 | |||
| Skewness | 5.06 | |||
| Kurtosis | 44.43 |
US Wind Farming Backtested Returns
US Wind appears to be out of control, given 3 months investment horizon. US Wind Farming retains Efficiency (Sharpe Ratio) of 0.0564, which indicates the firm had a 0.0564 % return per unit of price deviation over the last 3 months. By analyzing US Wind's technical indicators, you can evaluate if the expected return of 0.81% is justified by implied risk. Please review US Wind's Risk Adjusted Performance of 0.0496, mean deviation of 3.01, and Standard Deviation of 13.85 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, US Wind holds a performance score of 4. The entity owns a Beta (Systematic Risk) of -1.51, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning US Wind are expected to decrease by larger amounts. On the other hand, during market turmoil, US Wind is expected to outperform it. Please check US Wind's variance, as well as the relationship between the kurtosis and period momentum indicator , to make a quick decision on whether US Wind's current price history will revert.
Auto-correlation | 0.00 |
No correlation between past and present
US Wind Farming has no correlation between past and present. Overlapping area represents the amount of predictability between US Wind time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 US Wind Farming price movement. The serial correlation of 0.0 indicates that just 0.0% of current US Wind price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.98 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
US Wind 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.
US Wind Farming 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 US Wind Farming volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About US Wind 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 US Wind Farming 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 US Wind Farming based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on US Wind Farming price pattern first instead of the macroeconomic environment surrounding US Wind Farming. By analyzing US Wind'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 US Wind'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 US Wind specific price patterns or momentum indicators. Please read more on our technical analysis page.
US Wind January 27, 2026 Technical Indicators
Most technical analysis of USWF 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 USWF from various momentum indicators to cycle indicators. When you analyze USWF 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 | 0.0496 | |||
| Market Risk Adjusted Performance | (0.49) | |||
| Mean Deviation | 3.01 | |||
| Coefficient Of Variation | 1827.74 | |||
| Standard Deviation | 13.85 | |||
| Variance | 191.72 | |||
| Information Ratio | 0.0489 | |||
| Jensen Alpha | 0.8546 | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.50) | |||
| Maximum Drawdown | 100.0 | |||
| Skewness | 5.06 | |||
| Kurtosis | 44.43 |
US Wind January 27, 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 USWF 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 | 0.50 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for USWF Pink Sheet analysis
When running US Wind's price analysis, check to measure US Wind'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 US Wind is operating at the current time. Most of US Wind's value examination focuses on studying past and present price action to predict the probability of US Wind's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move US Wind's price. Additionally, you may evaluate how the addition of US Wind to your portfolios can decrease your overall portfolio volatility.
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Money Managers Screen money managers from public funds and ETFs managed around the world |