Greenway Technologies Stock Market Value
GWTI Stock | USD 0.027 0.003 10.00% |
Symbol | Greenway |
Greenway Technologies '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 Greenway Technologies' otc stock 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 Greenway Technologies.
10/31/2023 |
| 11/30/2023 |
If you would invest 0.00 in Greenway Technologies on October 31, 2023 and sell it all today you would earn a total of 0.00 from holding Greenway Technologies or generate 0.0% return on investment in Greenway Technologies over 30 days. Greenway Technologies is related to or competes with China Construction, PT Bank, PT Bank, and Palantir TechnologiesInc. Greenway Technologies, Inc., through its subsidiary, Greenway Innovative Energy, Inc., engages in the research, developm... More
Greenway Technologies 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 Greenway Technologies' otc stock 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 Greenway Technologies upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.1191 | |||
Maximum Drawdown | 200.0 |
Greenway Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Greenway Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Greenway Technologies' standard deviation. In reality, there are many statistical measures that can use Greenway Technologies historical prices to predict the future Greenway Technologies' volatility.Risk Adjusted Performance | 0.1018 | |||
Jensen Alpha | 2.94 | |||
Total Risk Alpha | 2.91 | |||
Treynor Ratio | (0.95) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Greenway Technologies' 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. Please use the tools below to analyze the current value of Greenway Technologies in the context of predictive analytics.
Greenway Technologies Backtested Returns
Greenway Technologies is out of control given 3 months investment horizon. Greenway Technologies holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had 0.12% of return per unit of risk over the last 3 months. Our standpoint towards determining the volatility of a stock is to use Greenway Technologies market data together with company specific technical indicators. We were able to interpolate and analyze data for nineteen different technical indicators, which can help you to evaluate if expected returns of 3.08% are justified by taking the suggested risk. Use Greenway Technologies Market Risk Adjusted Performance of (0.94), risk adjusted performance of 0.1018, and Standard Deviation of 24.64 to evaluate company specific risk that cannot be diversified away. Greenway Technologies holds a performance score of 9 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of -3.0959, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Greenway Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, Greenway Technologies is expected to outperform it. Although it is essential to pay attention to Greenway Technologies current price history, it is also good to be reasonable about what you can do with equity current price movements. Our philosophy towards determining future potential of any stock is to look not only at its past charts but also at the business as a whole, including all available fundamental and technical indicators. To evaluate if Greenway Technologies expected return of 3.08 will be sustainable into the future, we have found nineteen different technical indicators, which can help you to check if the expected returns are sustainable. Use Greenway Technologies mean deviation, jensen alpha, as well as the relationship between the Jensen Alpha and daily balance of power to analyze future returns on Greenway Technologies.
Auto-correlation | 0.00 |
No correlation between past and present
Greenway Technologies has no correlation between past and present. Overlapping area represents the amount of predictability between Greenway Technologies time series from 31st of October 2023 to 15th of November 2023 and 15th of November 2023 to 30th of November 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Greenway Technologies price movement. The serial correlation of 0.0 indicates that just 0.0% of current Greenway Technologies price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 0.5 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Greenway Technologies lagged returns against current returns
Autocorrelation, which is Greenway Technologies otc stock'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 Greenway Technologies' otc stock expected returns. We can calculate the autocorrelation of Greenway Technologies returns to help us make a trade decision. For example, suppose you find that Greenway Technologies otc stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Greenway Technologies 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 Greenway Technologies otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Greenway Technologies otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Greenway Technologies otc stock over time.
Current vs Lagged Prices |
Timeline |
Greenway Technologies Lagged Returns
When evaluating Greenway Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Greenway Technologies otc stock have on its future price. Greenway Technologies 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, Greenway Technologies autocorrelation shows the relationship between Greenway Technologies otc stock current value and its past values and can show if there is a momentum factor associated with investing in Greenway Technologies.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Greenway Technologies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Greenway Technologies' short interest history, or implied volatility extrapolated from Greenway Technologies options trading.
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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Greenway Technologies using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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Check out Greenway Technologies Correlation, Greenway Technologies Volatility and Greenway Technologies Alpha and Beta module to complement your research on Greenway Technologies. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Greenway OTC Stock analysis
When running Greenway Technologies' price analysis, check to measure Greenway Technologies' 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 Greenway Technologies is operating at the current time. Most of Greenway Technologies' value examination focuses on studying past and present price action to predict the probability of Greenway Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greenway Technologies' price. Additionally, you may evaluate how the addition of Greenway Technologies to your portfolios can decrease your overall portfolio volatility.
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Greenway Technologies technical otc stock 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, otc market cycles, or different charting patterns.