Scientific Energy Stock Market Value
| SCGY Stock | USD 1.72 0.02 1.18% |
| Symbol | Scientific |
Scientific 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 Scientific 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 Scientific Energy.
| 12/02/2022 |
| 11/21/2024 |
If you would invest 0.00 in Scientific Energy on December 2, 2022 and sell it all today you would earn a total of 0.00 from holding Scientific Energy or generate 0.0% return on investment in Scientific Energy over 720 days. Scientific Energy is related to or competes with Arhaus, Floor Decor, Live Ventures, Marvell Technology, Snowflake, Cisco Systems, and JPMorgan Chase. Scientific Energy, Inc., together with its subsidiaries, focuses on e-commerce platform business primarily in China More
Scientific 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 Scientific 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 Scientific Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 36.28 | |||
| Information Ratio | 0.1098 | |||
| Maximum Drawdown | 148.0 | |||
| Value At Risk | (27.27) | |||
| Potential Upside | 50.0 |
Scientific Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scientific Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scientific Energy's standard deviation. In reality, there are many statistical measures that can use Scientific Energy historical prices to predict the future Scientific Energy's volatility.| Risk Adjusted Performance | 0.0956 | |||
| Jensen Alpha | 1.82 | |||
| Total Risk Alpha | 0.0064 | |||
| Sortino Ratio | 0.0659 | |||
| Treynor Ratio | 0.3222 |
Scientific Energy Backtested Returns
Scientific Energy is out of control given 3 months investment horizon. Scientific Energy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% 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 2.56% are justified by taking the suggested risk. Use Scientific Energy Risk Adjusted Performance of 0.0956, semi deviation of 10.53, and Coefficient Of Variation of 876.16 to evaluate company specific risk that cannot be diversified away. Scientific Energy holds a performance score of 9 on a scale of zero to a hundred. The entity has a beta of 7.68, which indicates 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, Scientific Energy will likely underperform. Use Scientific Energy maximum drawdown, as well as the relationship between the skewness and price action indicator , to analyze future returns on Scientific Energy.
Auto-correlation | 0.68 |
Good predictability
Scientific Energy has good predictability. Overlapping area represents the amount of predictability between Scientific Energy time series from 2nd of December 2022 to 27th of November 2023 and 27th of November 2023 to 21st of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Scientific Energy price movement. The serial correlation of 0.68 indicates that around 68.0% of current Scientific Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.68 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.47 |
Scientific Energy lagged returns against current returns
Autocorrelation, which is Scientific 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 Scientific Energy's pink sheet expected returns. We can calculate the autocorrelation of Scientific Energy returns to help us make a trade decision. For example, suppose you find that Scientific 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 |
Scientific 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 Scientific Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scientific 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 Scientific Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Scientific Energy Lagged Returns
When evaluating Scientific Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scientific Energy pink sheet have on its future price. Scientific 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, Scientific Energy autocorrelation shows the relationship between Scientific Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Scientific Energy.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Scientific Pink Sheet Analysis
When running Scientific Energy's price analysis, check to measure Scientific 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 Scientific Energy is operating at the current time. Most of Scientific Energy's value examination focuses on studying past and present price action to predict the probability of Scientific 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 Scientific Energy's price. Additionally, you may evaluate how the addition of Scientific Energy to your portfolios can decrease your overall portfolio volatility.