Strata Power Corp Stock Technical Analysis
| SPOWF Stock | USD 0.02 0.01 31.03% |
As of the 10th of February, Strata Power has the Coefficient Of Variation of 911.74, semi deviation of 11.9, and Risk Adjusted Performance of 0.0974. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Strata Power Corp, as well as the relationship between them. Please validate Strata Power Corp information ratio, potential upside, as well as the relationship between the Potential Upside and kurtosis to decide if Strata Power is priced more or less accurately, providing market reflects its prevalent price of 0.02 per share. As Strata Power Corp appears to be a penny stock we also recommend to double-check its total risk alpha numbers.
Strata Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Strata, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StrataStrata |
Strata Power '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 Strata Power'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 Strata Power.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Strata Power on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Strata Power Corp or generate 0.0% return on investment in Strata Power over 90 days. Strata Power is related to or competes with Stroud Resources. Strata Power Corporation, an exploration stage company, engages in the acquisition, exploration, and development of oil ... More
Strata Power 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 Strata Power'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 Strata Power Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 21.97 | |||
| Information Ratio | 0.1049 | |||
| Maximum Drawdown | 120.69 | |||
| Value At Risk | (31.03) | |||
| Potential Upside | 36.84 |
Strata Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strata Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strata Power's standard deviation. In reality, there are many statistical measures that can use Strata Power historical prices to predict the future Strata Power's volatility.| Risk Adjusted Performance | 0.0974 | |||
| Jensen Alpha | 2.34 | |||
| Total Risk Alpha | 0.1143 | |||
| Sortino Ratio | 0.0918 | |||
| Treynor Ratio | (0.72) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strata Power'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.
Strata Power 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 | 0.0974 | |||
| Market Risk Adjusted Performance | (0.71) | |||
| Mean Deviation | 11.67 | |||
| Semi Deviation | 11.9 | |||
| Downside Deviation | 21.97 | |||
| Coefficient Of Variation | 911.74 | |||
| Standard Deviation | 19.24 | |||
| Variance | 370.16 | |||
| Information Ratio | 0.1049 | |||
| Jensen Alpha | 2.34 | |||
| Total Risk Alpha | 0.1143 | |||
| Sortino Ratio | 0.0918 | |||
| Treynor Ratio | (0.72) | |||
| Maximum Drawdown | 120.69 | |||
| Value At Risk | (31.03) | |||
| Potential Upside | 36.84 | |||
| Downside Variance | 482.51 | |||
| Semi Variance | 141.57 | |||
| Expected Short fall | (26.62) | |||
| Skewness | 1.39 | |||
| Kurtosis | 5.56 |
Strata Power Corp Backtested Returns
Strata Power is out of control given 3 months investment horizon. Strata Power Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11 % return per unit of risk over the last 3 months. We are able to interpolate and break down twenty-eight different technical indicators, which can help you to evaluate if expected returns of 2.11% are justified by taking the suggested risk. Use Strata Power Corp Risk Adjusted Performance of 0.0974, semi deviation of 11.9, and Coefficient Of Variation of 911.74 to evaluate company specific risk that cannot be diversified away. Strata Power holds a performance score of 8 on a scale of zero to a hundred. The entity has a beta of -2.9, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Strata Power are expected to decrease by larger amounts. On the other hand, during market turmoil, Strata Power is expected to outperform it. Use Strata Power Corp potential upside, as well as the relationship between the kurtosis and day typical price , to analyze future returns on Strata Power Corp.
Auto-correlation | -0.19 |
Insignificant reverse predictability
Strata Power Corp has insignificant reverse predictability. Overlapping area represents the amount of predictability between Strata Power 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 Strata Power Corp price movement. The serial correlation of -0.19 indicates that over 19.0% of current Strata Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Strata Power 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.
Strata Power Corp 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 Strata Power Corp across different markets.
About Strata Power 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 Strata Power Corp 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 Strata Power Corp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Strata Power Corp price pattern first instead of the macroeconomic environment surrounding Strata Power Corp. By analyzing Strata Power'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 Strata Power'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 Strata Power specific price patterns or momentum indicators. Please read more on our technical analysis page.
Strata Power February 10, 2026 Technical Indicators
Most technical analysis of Strata 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 Strata from various momentum indicators to cycle indicators. When you analyze Strata 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 | 0.0974 | |||
| Market Risk Adjusted Performance | (0.71) | |||
| Mean Deviation | 11.67 | |||
| Semi Deviation | 11.9 | |||
| Downside Deviation | 21.97 | |||
| Coefficient Of Variation | 911.74 | |||
| Standard Deviation | 19.24 | |||
| Variance | 370.16 | |||
| Information Ratio | 0.1049 | |||
| Jensen Alpha | 2.34 | |||
| Total Risk Alpha | 0.1143 | |||
| Sortino Ratio | 0.0918 | |||
| Treynor Ratio | (0.72) | |||
| Maximum Drawdown | 120.69 | |||
| Value At Risk | (31.03) | |||
| Potential Upside | 36.84 | |||
| Downside Variance | 482.51 | |||
| Semi Variance | 141.57 | |||
| Expected Short fall | (26.62) | |||
| Skewness | 1.39 | |||
| Kurtosis | 5.56 |
Strata Power 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 Strata 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 | 528.91 | ||
| Daily Balance Of Power | (1.25) | ||
| Rate Of Daily Change | 0.69 | ||
| Day Median Price | 0.02 | ||
| Day Typical Price | 0.02 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Strata Pink Sheet analysis
When running Strata Power's price analysis, check to measure Strata Power'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 Strata Power is operating at the current time. Most of Strata Power's value examination focuses on studying past and present price action to predict the probability of Strata Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Strata Power's price. Additionally, you may evaluate how the addition of Strata Power to your portfolios can decrease your overall portfolio volatility.
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