Hashflow Market Value
| HFT Crypto | USD 0.21 0.01 5.00% |
| Symbol | Hashflow |
Hashflow '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 Hashflow'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 Hashflow.
| 02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in Hashflow on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding Hashflow or generate 0.0% return on investment in Hashflow over 270 days. Hashflow is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and Avalanche. Hashflow is peer-to-peer digital currency powered by the Blockchain technology.
Hashflow 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 Hashflow'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 Hashflow upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.73 | |||
| Information Ratio | 0.0468 | |||
| Maximum Drawdown | 23.08 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 8.33 |
Hashflow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hashflow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hashflow's standard deviation. In reality, there are many statistical measures that can use Hashflow historical prices to predict the future Hashflow's volatility.| Risk Adjusted Performance | 0.061 | |||
| Jensen Alpha | 0.3453 | |||
| Total Risk Alpha | (0.56) | |||
| Sortino Ratio | 0.0372 | |||
| Treynor Ratio | 0.7811 |
Hashflow Backtested Returns
Hashflow appears to be unusually risky, given 3 months investment horizon. Hashflow holds Efficiency (Sharpe) Ratio of 0.12, which attests that digital coin had a 0.12% return per unit of risk over the last 3 months. By evaluating Hashflow's technical indicators, you can evaluate if the expected return of 0.68% is justified by implied risk. Please utilize Hashflow's Market Risk Adjusted Performance of 0.7911, downside deviation of 7.73, and Risk Adjusted Performance of 0.061 to validate if our risk estimates are consistent with your expectations. The crypto retains a Market Volatility (i.e., Beta) of 0.52, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hashflow's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hashflow is expected to be smaller as well.
Auto-correlation | 0.80 |
Very good predictability
Hashflow has very good predictability. Overlapping area represents the amount of predictability between Hashflow time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 Hashflow price movement. The serial correlation of 0.8 indicates that around 80.0% of current Hashflow price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Hashflow lagged returns against current returns
Autocorrelation, which is Hashflow 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 Hashflow's crypto coin expected returns. We can calculate the autocorrelation of Hashflow returns to help us make a trade decision. For example, suppose you find that Hashflow 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 |
Hashflow 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 Hashflow crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hashflow crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hashflow crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Hashflow Lagged Returns
When evaluating Hashflow's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hashflow crypto coin have on its future price. Hashflow 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, Hashflow autocorrelation shows the relationship between Hashflow crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Hashflow.
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 Hashflow offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Hashflow'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 Hashflow Crypto.Check out Hashflow Correlation, Hashflow Volatility and Investing Opportunities module to complement your research on Hashflow. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Hashflow 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.