Helium Market Value
| HNT Crypto | USD 3.95 0.23 5.50% |
| Symbol | Helium |
Helium '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 Helium'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 Helium.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Helium on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Helium or generate 0.0% return on investment in Helium over 30 days. Helium is related to or competes with Solana, XRP, Open Network, Staked Ether, Ethena, Avalanche, and Chainlink. Helium is peer-to-peer digital currency powered by the Blockchain technology.
Helium 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 Helium'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 Helium upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 30.74 | |||
| Value At Risk | (10.62) | |||
| Potential Upside | 11.73 |
Helium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Helium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Helium's standard deviation. In reality, there are many statistical measures that can use Helium historical prices to predict the future Helium's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.65) | |||
| Total Risk Alpha | (1.30) | |||
| Treynor Ratio | (0.20) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Helium'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.
Helium Backtested Returns
Helium holds Efficiency (Sharpe) Ratio of -0.0845, which attests that digital coin had a -0.0845% return per unit of risk over the last 3 months. Helium exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Helium's Market Risk Adjusted Performance of (0.19), risk adjusted performance of (0.03), and Standard Deviation of 6.67 to validate the risk estimate we provide. The crypto retains a Market Volatility (i.e., Beta) of 2.39, 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, Helium will likely underperform.
Auto-correlation | 0.83 |
Very good predictability
Helium has very good predictability. Overlapping area represents the amount of predictability between Helium 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 Helium price movement. The serial correlation of 0.83 indicates that around 83.0% of current Helium price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.6 |
Helium lagged returns against current returns
Autocorrelation, which is Helium 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 Helium's crypto coin expected returns. We can calculate the autocorrelation of Helium returns to help us make a trade decision. For example, suppose you find that Helium 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 |
Helium 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 Helium crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Helium crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Helium crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Helium Lagged Returns
When evaluating Helium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Helium crypto coin have on its future price. Helium 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, Helium autocorrelation shows the relationship between Helium crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Helium.
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 Helium Correlation, Helium Volatility and Investing Opportunities module to complement your research on Helium. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Helium 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.