GO Market Value
| GO Crypto | USD 0 0.0008 25.90% |
| Symbol | GO |
GO '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 GO's crypto coin 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 GO.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in GO on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding GO or generate 0.0% return on investment in GO over 30 days. GO is related to or competes with Bitcoin, XRP, Solana, Dogecoin, Staked Ether, Toncoin, and Worldcoin. GO is peer-to-peer digital currency powered by the Blockchain technology.
GO 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 GO's crypto coin 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 GO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 12.37 | |||
| Information Ratio | 0.086 | |||
| Maximum Drawdown | 57.97 | |||
| Value At Risk | (21.92) | |||
| Potential Upside | 29.54 |
GO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GO's standard deviation. In reality, there are many statistical measures that can use GO historical prices to predict the future GO's volatility.| Risk Adjusted Performance | 0.0818 | |||
| Jensen Alpha | 1.67 | |||
| Total Risk Alpha | (0.80) | |||
| Sortino Ratio | 0.1006 | |||
| 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 GO'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.
GO Backtested Returns
GO is abnormally risky given 3 months investment horizon. GO holds Efficiency (Sharpe) Ratio of 0.0829, which attests that digital coin had a 0.0829% return per unit of risk over the last 3 months. We were able to break down twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.2% are justified by taking the suggested risk. Use GO Downside Deviation of 12.37, market risk adjusted performance of (0.49), and Risk Adjusted Performance of 0.0818 to evaluate coin specific risk that cannot be diversified away. The crypto retains a Market Volatility (i.e., Beta) of -2.72, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning GO are expected to decrease by larger amounts. On the other hand, during market turmoil, GO is expected to outperform it.
Auto-correlation | -0.46 |
Modest reverse predictability
GO has modest reverse predictability. Overlapping area represents the amount of predictability between GO time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 GO price movement. The serial correlation of -0.46 indicates that about 46.0% of current GO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GO lagged returns against current returns
Autocorrelation, which is GO crypto coin'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 GO's crypto coin expected returns. We can calculate the autocorrelation of GO returns to help us make a trade decision. For example, suppose you find that GO has exhibited high autocorrelation historically, and you observe that the crypto coin 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 |
GO 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 GO crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GO crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GO crypto coin over time.
Current vs Lagged Prices |
| Timeline |
GO Lagged Returns
When evaluating GO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GO crypto coin have on its future price. GO 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, GO autocorrelation shows the relationship between GO crypto coin current value and its past values and can show if there is a momentum factor associated with investing in GO.
Regressed Prices |
| Timeline |
Also Currently Popular
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.When determining whether GO offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GO's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Go Crypto.Check out GO Correlation, GO Volatility and Investing Opportunities module to complement your research on GO. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
GO technical crypto coin 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, crypto market cycles, or different charting patterns.