Cosmos Market Value
| ATOM Crypto | USD 8.40 0.30 3.45% |
| Symbol | Cosmos |
Cosmos '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 Cosmos' 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 Cosmos.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Cosmos on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Cosmos or generate 0.0% return on investment in Cosmos over 30 days. Cosmos is related to or competes with Ethereum, Solana, XRP, Staked Ether, Open Network, Cardano, and Avalanche. Cosmos is peer-to-peer digital currency powered by the Blockchain technology.
Cosmos 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 Cosmos' 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 Cosmos upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.78 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 32.14 | |||
| Value At Risk | (8.72) | |||
| Potential Upside | 7.58 |
Cosmos Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cosmos' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cosmos' standard deviation. In reality, there are many statistical measures that can use Cosmos historical prices to predict the future Cosmos' volatility.| Risk Adjusted Performance | 0.0122 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.64) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.013 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cosmos' 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.
Cosmos Backtested Returns
Cosmos secures Sharpe Ratio (or Efficiency) of -0.02, which signifies that digital coin had a -0.02% return per unit of risk over the last 3 months. Cosmos exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cosmos' Downside Deviation of 4.78, mean deviation of 3.16, and Risk Adjusted Performance of 0.0122 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 1.3, which signifies 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, Cosmos will likely underperform.
Auto-correlation | 0.56 |
Modest predictability
Cosmos has modest predictability. Overlapping area represents the amount of predictability between Cosmos time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Cosmos price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Cosmos price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.91 |
Cosmos lagged returns against current returns
Autocorrelation, which is Cosmos 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 Cosmos' crypto coin expected returns. We can calculate the autocorrelation of Cosmos returns to help us make a trade decision. For example, suppose you find that Cosmos 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 |
Cosmos 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 Cosmos crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cosmos crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cosmos crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Cosmos Lagged Returns
When evaluating Cosmos' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cosmos crypto coin have on its future price. Cosmos 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, Cosmos autocorrelation shows the relationship between Cosmos crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Cosmos.
Regressed Prices |
| Timeline |
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Cosmos in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.
Pair Trading with Cosmos
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cosmos position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cosmos will appreciate offsetting losses from the drop in the long position's value.Moving together with Cosmos Crypto Coin
| 0.78 | ETH | Ethereum | PairCorr |
| 0.91 | XRP | XRP | PairCorr |
The ability to find closely correlated positions to Cosmos could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cosmos when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cosmos - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cosmos to buy it.
The correlation of Cosmos is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cosmos moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cosmos moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cosmos can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Cosmos Correlation, Cosmos Volatility and Investing Opportunities module to complement your research on Cosmos. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Cosmos 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.