IOST Market Value
IOST Crypto | USD 0.01 0.000045 0.50% |
Symbol | IOST |
IOST '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 IOST'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 IOST.
02/08/2024 |
| 05/08/2024 |
If you would invest 0.00 in IOST on February 8, 2024 and sell it all today you would earn a total of 0.00 from holding IOST or generate 0.0% return on investment in IOST over 90 days. IOST is related to or competes with Solana, XRP, Open Network, Staked Ether, Avalanche, Chainlink, and Ethena. IOST is peer-to-peer digital currency powered by the Blockchain technology.
IOST 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 IOST'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 IOST upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 7.31 | |||
Information Ratio | 0.0326 | |||
Maximum Drawdown | 41.02 | |||
Value At Risk | (12.00) | |||
Potential Upside | 9.35 |
IOST Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IOST's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IOST's standard deviation. In reality, there are many statistical measures that can use IOST historical prices to predict the future IOST's volatility.Risk Adjusted Performance | 0.0379 | |||
Jensen Alpha | 0.091 | |||
Total Risk Alpha | (0.50) | |||
Sortino Ratio | 0.0277 | |||
Treynor Ratio | 0.1152 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IOST'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.
IOST Backtested Returns
IOST appears to be unusually volatile, given 3 months investment horizon. IOST holds Efficiency (Sharpe) Ratio of 0.0401, which attests that digital coin had a 0.0401% return per unit of volatility over the last 3 months. We have found thirty technical indicators for IOST, which you can use to evaluate the volatility of coin. Please utilize IOST's risk adjusted performance of 0.0379, and Market Risk Adjusted Performance of 0.1252 to validate if our risk estimates are consistent with your expectations. The crypto retains a Market Volatility (i.e., Beta) of 2.43, 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, IOST will likely underperform.
Auto-correlation | -0.68 |
Very good reverse predictability
IOST has very good reverse predictability. Overlapping area represents the amount of predictability between IOST time series from 8th of February 2024 to 24th of March 2024 and 24th of March 2024 to 8th of May 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 IOST price movement. The serial correlation of -0.68 indicates that around 68.0% of current IOST price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.68 | |
Spearman Rank Test | -0.53 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
IOST lagged returns against current returns
Autocorrelation, which is IOST 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 IOST's crypto coin expected returns. We can calculate the autocorrelation of IOST returns to help us make a trade decision. For example, suppose you find that IOST 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 |
IOST 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 IOST crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IOST crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IOST crypto coin over time.
Current vs Lagged Prices |
Timeline |
IOST Lagged Returns
When evaluating IOST's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IOST crypto coin have on its future price. IOST 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, IOST autocorrelation shows the relationship between IOST crypto coin current value and its past values and can show if there is a momentum factor associated with investing in IOST.
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 IOST Correlation, IOST Volatility and Investing Opportunities module to complement your research on IOST. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
IOST 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.