Spt Energy Group Stock Technical Analysis
| SEGYY Stock | USD 0.35 0.00 0.00% |
As of the 15th of February 2026, SPT Energy has the risk adjusted performance of (0.13), and Variance of 25.84. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SPT Energy Group, as well as the relationship between them.
SPT 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 SPT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPTSPT |
SPT 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 SPT 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 SPT Energy.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in SPT Energy on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding SPT Energy Group or generate 0.0% return on investment in SPT Energy over 90 days. SPT Energy is related to or competes with OMV Aktiengesellscha, Inpex Corp, Tenaris SA, Galp Energia, Polski Koncern, Origin Energy, and Origin Energy. SPT Energy Group Inc., an investment holding company, provides integrated oilfield services and manufactures and sells o... More
SPT 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 SPT 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 SPT Energy Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 32.86 |
SPT Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPT Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPT Energy's standard deviation. In reality, there are many statistical measures that can use SPT Energy historical prices to predict the future SPT Energy's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.90) | |||
| Total Risk Alpha | (1.27) | |||
| Treynor Ratio | (13.66) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPT Energy'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.
SPT Energy February 15, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (13.65) | |||
| Mean Deviation | 1.72 | |||
| Coefficient Of Variation | (574.63) | |||
| Standard Deviation | 5.08 | |||
| Variance | 25.84 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.90) | |||
| Total Risk Alpha | (1.27) | |||
| Treynor Ratio | (13.66) | |||
| Maximum Drawdown | 32.86 | |||
| Skewness | (5.75) | |||
| Kurtosis | 32.58 |
SPT Energy Group Backtested Returns
SPT Energy Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.18, which indicates the firm had a -0.18 % return per unit of standard deviation over the last 3 months. SPT Energy Group exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPT Energy's risk adjusted performance of (0.13), and Variance of 25.84 to confirm the risk estimate we provide. The entity has a beta of 0.0655, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPT Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPT Energy is expected to be smaller as well. At this point, SPT Energy Group has a negative expected return of -0.9%. Please make sure to validate SPT Energy's standard deviation and the relationship between the treynor ratio and day typical price , to decide if SPT Energy Group performance from the past will be repeated at some future point.
Auto-correlation | 0.00 |
No correlation between past and present
SPT Energy Group has no correlation between past and present. Overlapping area represents the amount of predictability between SPT Energy time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 SPT Energy Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current SPT Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
SPT 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.
SPT Energy Group 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 SPT Energy Group across different markets.
About SPT 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 SPT Energy Group 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 SPT Energy Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SPT Energy Group price pattern first instead of the macroeconomic environment surrounding SPT Energy Group. By analyzing SPT 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 SPT 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 SPT Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
SPT Energy February 15, 2026 Technical Indicators
Most technical analysis of SPT 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 SPT from various momentum indicators to cycle indicators. When you analyze SPT 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 | (0.13) | |||
| Market Risk Adjusted Performance | (13.65) | |||
| Mean Deviation | 1.72 | |||
| Coefficient Of Variation | (574.63) | |||
| Standard Deviation | 5.08 | |||
| Variance | 25.84 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.90) | |||
| Total Risk Alpha | (1.27) | |||
| Treynor Ratio | (13.66) | |||
| Maximum Drawdown | 32.86 | |||
| Skewness | (5.75) | |||
| Kurtosis | 32.58 |
SPT Energy February 15, 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 SPT 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.35 | ||
| Day Typical Price | 0.35 | ||
| Price Action Indicator | 0.00 |
Additional Tools for SPT Pink Sheet Analysis
When running SPT Energy's price analysis, check to measure SPT 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 SPT Energy is operating at the current time. Most of SPT Energy's value examination focuses on studying past and present price action to predict the probability of SPT 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 SPT Energy's price. Additionally, you may evaluate how the addition of SPT Energy to your portfolios can decrease your overall portfolio volatility.