AIO Market Value
| AIO Crypto | USD 0.11 0.01 8.33% |
| Symbol | AIO |
AIO '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 AIO'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 AIO.
| 12/03/2025 |
| 01/02/2026 |
If you would invest 0.00 in AIO on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding AIO or generate 0.0% return on investment in AIO over 30 days. AIO is related to or competes with XRP, Solana, TRON, Staked Ether, Hyperliquid, WhiteBIT Token, and Sui. AIO is peer-to-peer digital currency powered by the Blockchain technology.
AIO 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 AIO'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 AIO upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 48.54 | |||
| Value At Risk | (17.65) | |||
| Potential Upside | 12.94 |
AIO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AIO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AIO's standard deviation. In reality, there are many statistical measures that can use AIO historical prices to predict the future AIO's volatility.| Risk Adjusted Performance | 0.0028 | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.70) | |||
| Treynor Ratio | (0.05) |
AIO Backtested Returns
AIO secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that digital coin had a close to zero % return per unit of risk over the last 3 months. AIO exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AIO's risk adjusted performance of 0.0028, and Mean Deviation of 5.76 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 1.65, 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, AIO will likely underperform.
Auto-correlation | 0.44 |
Average predictability
AIO has average predictability. Overlapping area represents the amount of predictability between AIO time series from 3rd of December 2025 to 18th of December 2025 and 18th of December 2025 to 2nd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AIO price movement. The serial correlation of 0.44 indicates that just about 44.0% of current AIO price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AIO lagged returns against current returns
Autocorrelation, which is AIO 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 AIO's crypto coin expected returns. We can calculate the autocorrelation of AIO returns to help us make a trade decision. For example, suppose you find that AIO 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 |
AIO 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 AIO crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AIO crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AIO crypto coin over time.
Current vs Lagged Prices |
| Timeline |
AIO Lagged Returns
When evaluating AIO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AIO crypto coin have on its future price. AIO 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, AIO autocorrelation shows the relationship between AIO crypto coin current value and its past values and can show if there is a momentum factor associated with investing in AIO.
Regressed Prices |
| Timeline |
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Check out AIO Correlation, AIO Volatility and Investing Opportunities module to complement your research on AIO. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
AIO 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.