MONA Market Value
| MONA Crypto | USD 0.36 0.01 2.86% |
| Symbol | MONA |
MONA '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 MONA'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 MONA.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in MONA on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding MONA or generate 0.0% return on investment in MONA over 30 days. MONA is related to or competes with Bitcoin, Dogecoin, Bitcoin Cash, Litecoin, Ethereum Classic, Monero, and Arweave. MONA is peer-to-peer digital currency powered by the Blockchain technology.
MONA 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 MONA'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 MONA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.92 | |||
| Information Ratio | 0.0295 | |||
| Maximum Drawdown | 19.82 | |||
| Value At Risk | (5.26) | |||
| Potential Upside | 8.11 |
MONA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MONA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MONA's standard deviation. In reality, there are many statistical measures that can use MONA historical prices to predict the future MONA's volatility.| Risk Adjusted Performance | 0.0411 | |||
| Jensen Alpha | 0.0561 | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | 0.0284 | |||
| Treynor Ratio | 0.1123 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MONA'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.
MONA Backtested Returns
MONA appears to be very volatile, given 3 months investment horizon. MONA has Sharpe Ratio of 0.0542, which conveys that digital coin had a 0.0542% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for MONA, which you can use to evaluate the volatility of coin. Please exercise MONA's risk adjusted performance of 0.0411, and Mean Deviation of 2.72 to check out if our risk estimates are consistent with your expectations. The crypto secures a Beta (Market Risk) of 1.7, which conveys 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, MONA will likely underperform.
Auto-correlation | 0.63 |
Good predictability
MONA has good predictability. Overlapping area represents the amount of predictability between MONA time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 MONA price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current MONA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MONA lagged returns against current returns
Autocorrelation, which is MONA 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 MONA's crypto coin expected returns. We can calculate the autocorrelation of MONA returns to help us make a trade decision. For example, suppose you find that MONA 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 |
MONA 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 MONA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MONA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MONA crypto coin over time.
Current vs Lagged Prices |
| Timeline |
MONA Lagged Returns
When evaluating MONA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MONA crypto coin have on its future price. MONA 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, MONA autocorrelation shows the relationship between MONA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in MONA.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out MONA Correlation, MONA Volatility and Investing Opportunities module to complement your research on MONA. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
MONA 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.