AKRO Market Value
| AKRO Crypto | USD 0.01 0.000089 1.37% |
| Symbol | AKRO |
AKRO '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 AKRO'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 AKRO.
| 04/15/2024 |
| 05/15/2024 |
If you would invest 0.00 in AKRO on April 15, 2024 and sell it all today you would earn a total of 0.00 from holding AKRO or generate 0.0% return on investment in AKRO over 30 days. AKRO is related to or competes with Solana, XRP, Open Network, Staked Ether, Avalanche, Chainlink, and Starknet. AKRO is peer-to-peer digital currency powered by the Blockchain technology.
AKRO 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 AKRO'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 AKRO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.69 | |||
| Information Ratio | 0.0662 | |||
| Maximum Drawdown | 75.55 | |||
| Value At Risk | (10.54) | |||
| Potential Upside | 18.47 |
AKRO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AKRO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AKRO's standard deviation. In reality, there are many statistical measures that can use AKRO historical prices to predict the future AKRO's volatility.| Risk Adjusted Performance | 0.0556 | |||
| Jensen Alpha | 0.4692 | |||
| Total Risk Alpha | (0.43) | |||
| Sortino Ratio | 0.0842 | |||
| Treynor Ratio | 0.2083 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AKRO'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.
AKRO Backtested Returns
AKRO appears to be abnormally risky, given 3 months investment horizon. AKRO secures Sharpe Ratio (or Efficiency) of 0.0678, which signifies that digital coin had a 0.0678% return per unit of risk over the last 3 months. By reviewing AKRO's technical indicators, you can evaluate if the expected return of 0.67% is justified by implied risk. Please makes use of AKRO's mean deviation of 5.88, and Risk Adjusted Performance of 0.0556 to double-check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of 3.46, 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, AKRO will likely underperform.
Auto-correlation | 0.51 |
Modest predictability
AKRO has modest predictability. Overlapping area represents the amount of predictability between AKRO time series from 15th of April 2024 to 30th of April 2024 and 30th of April 2024 to 15th 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 AKRO price movement. The serial correlation of 0.51 indicates that about 51.0% of current AKRO price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AKRO lagged returns against current returns
Autocorrelation, which is AKRO 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 AKRO's crypto coin expected returns. We can calculate the autocorrelation of AKRO returns to help us make a trade decision. For example, suppose you find that AKRO 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 |
AKRO 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 AKRO crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AKRO crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AKRO crypto coin over time.
Current vs Lagged Prices |
| Timeline |
AKRO Lagged Returns
When evaluating AKRO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AKRO crypto coin have on its future price. AKRO 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, AKRO autocorrelation shows the relationship between AKRO crypto coin current value and its past values and can show if there is a momentum factor associated with investing in AKRO.
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 AKRO 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.
Pair Trading with AKRO
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AKRO position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AKRO will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AKRO could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AKRO when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AKRO - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AKRO to buy it.
The correlation of AKRO is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AKRO moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AKRO moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AKRO can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out AKRO Correlation, AKRO Volatility and Investing Opportunities module to complement your research on AKRO. 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..
AKRO 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.