Maker Market Value
| MKR Crypto | USD 2,656 335.27 11.21% |
| Symbol | Maker |
Maker '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 Maker'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 Maker.
| 10/03/2023 |
| 04/30/2024 |
If you would invest 0.00 in Maker on October 3, 2023 and sell it all today you would earn a total of 0.00 from holding Maker or generate 0.0% return on investment in Maker over 210 days. Maker is related to or competes with Solana, XRP, Staked Ether, Open Network, Avalanche, Chainlink, and Ethena. Maker is peer-to-peer digital currency powered by the Blockchain technology.
Maker 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 Maker'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 Maker upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.6 | |||
| Information Ratio | 0.1257 | |||
| Maximum Drawdown | 27.99 | |||
| Value At Risk | (6.84) | |||
| Potential Upside | 10.36 |
Maker Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Maker's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Maker's standard deviation. In reality, there are many statistical measures that can use Maker historical prices to predict the future Maker's volatility.| Risk Adjusted Performance | 0.098 | |||
| Jensen Alpha | 0.7199 | |||
| Total Risk Alpha | 0.0725 | |||
| Sortino Ratio | 0.141 | |||
| Treynor Ratio | 7.68 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Maker'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.
Maker Backtested Returns
Maker appears to be extremely risky, given 3 months investment horizon. Maker has Sharpe Ratio of 0.11, which conveys that digital coin had a 0.11% return per unit of risk over the last 3 months. By analyzing Maker's technical indicators, you can evaluate if the expected return of 0.59% is justified by implied risk. Please exercise Maker's Downside Deviation of 4.6, risk adjusted performance of 0.098, and Mean Deviation of 3.55 to check out if our risk estimates are consistent with your expectations. The crypto secures a Beta (Market Risk) of 0.0947, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Maker's returns are expected to increase less than the market. However, during the bear market, the loss of holding Maker is expected to be smaller as well.
Auto-correlation | 0.22 |
Weak predictability
Maker has weak predictability. Overlapping area represents the amount of predictability between Maker time series from 3rd of October 2023 to 16th of January 2024 and 16th of January 2024 to 30th 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 Maker price movement. The serial correlation of 0.22 indicates that over 22.0% of current Maker price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 383.4 K |
Maker lagged returns against current returns
Autocorrelation, which is Maker 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 Maker's crypto coin expected returns. We can calculate the autocorrelation of Maker returns to help us make a trade decision. For example, suppose you find that Maker 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 |
Maker 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 Maker crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Maker crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Maker crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Maker Lagged Returns
When evaluating Maker's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Maker crypto coin have on its future price. Maker 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, Maker autocorrelation shows the relationship between Maker crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Maker.
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 Maker 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.
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Maker 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.