IOTA Market Value
| MIOTA Crypto | USD 0.21 0.01 5.00% |
| Symbol | IOTA |
IOTA '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 IOTA'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 IOTA.
| 09/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in IOTA on September 25, 2024 and sell it all today you would earn a total of 0.00 from holding IOTA or generate 0.0% return on investment in IOTA over 60 days. IOTA is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. IOTA is peer-to-peer digital currency powered by the Blockchain technology.
IOTA 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 IOTA'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 IOTA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.53 | |||
| Information Ratio | 0.0908 | |||
| Maximum Drawdown | 31.67 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 |
IOTA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IOTA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IOTA's standard deviation. In reality, there are many statistical measures that can use IOTA historical prices to predict the future IOTA's volatility.| Risk Adjusted Performance | 0.0946 | |||
| Jensen Alpha | 0.5383 | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | 0.059 | |||
| Treynor Ratio | 0.5687 |
IOTA Backtested Returns
IOTA appears to be unusually risky, given 3 months investment horizon. IOTA holds Efficiency (Sharpe) Ratio of 0.15, which attests that digital coin had a 0.15% return per unit of volatility over the last 3 months. By analyzing IOTA's technical indicators, you can evaluate if the expected return of 0.9% is justified by implied risk. Please utilize IOTA's risk adjusted performance of 0.0946, and Market Risk Adjusted Performance of 0.5787 to validate if our risk estimates are consistent with your expectations. The crypto retains a Market Volatility (i.e., Beta) of 1.2, which attests to 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, IOTA will likely underperform.
Auto-correlation | -0.4 |
Poor reverse predictability
IOTA has poor reverse predictability. Overlapping area represents the amount of predictability between IOTA time series from 25th of September 2024 to 25th of October 2024 and 25th of October 2024 to 24th of November 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 IOTA price movement. The serial correlation of -0.4 indicates that just about 40.0% of current IOTA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
IOTA lagged returns against current returns
Autocorrelation, which is IOTA 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 IOTA's crypto coin expected returns. We can calculate the autocorrelation of IOTA returns to help us make a trade decision. For example, suppose you find that IOTA 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 |
IOTA 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 IOTA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IOTA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IOTA crypto coin over time.
Current vs Lagged Prices |
| Timeline |
IOTA Lagged Returns
When evaluating IOTA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IOTA crypto coin have on its future price. IOTA 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, IOTA autocorrelation shows the relationship between IOTA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in IOTA.
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 IOTA offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IOTA'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 Iota Crypto.Check out IOTA Correlation, IOTA Volatility and Investing Opportunities module to complement your research on IOTA. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
IOTA 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.