Flow Market Value
| FLOW Crypto | USD 0.40 0.01 2.44% |
| Symbol | Flow |
Flow '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 Flow'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 Flow.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Flow on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Flow or generate 0.0% return on investment in Flow over 90 days. Flow is related to or competes with XRP, Solana, Sui, TRON, Staked Ether, Chainlink, and Toncoin. Flow is peer-to-peer digital currency powered by the Blockchain technology.
Flow 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 Flow'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 Flow upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 29.34 | |||
| Value At Risk | (9.30) | |||
| Potential Upside | 6.58 |
Flow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Flow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Flow's standard deviation. In reality, there are many statistical measures that can use Flow historical prices to predict the future Flow's volatility.| Risk Adjusted Performance | (0.20) | |||
| Jensen Alpha | (1.34) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | 1.35 |
Flow Backtested Returns
Flow secures Sharpe Ratio (or Efficiency) of -0.2, which denotes digital coin had a -0.2 % return per unit of risk over the last 3 months. Flow exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Flow's Mean Deviation of 4.1, standard deviation of 5.16, and Variance of 26.66 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -0.92, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Flow are expected to decrease slowly. On the other hand, during market turmoil, Flow is expected to outperform it slightly.
Auto-correlation | 0.72 |
Good predictability
Flow has good predictability. Overlapping area represents the amount of predictability between Flow time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Flow price movement. The serial correlation of 0.72 indicates that around 72.0% of current Flow price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Flow lagged returns against current returns
Autocorrelation, which is Flow 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 Flow's crypto coin expected returns. We can calculate the autocorrelation of Flow returns to help us make a trade decision. For example, suppose you find that Flow 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 |
Flow 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 Flow crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Flow crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Flow crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Flow Lagged Returns
When evaluating Flow's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Flow crypto coin have on its future price. Flow 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, Flow autocorrelation shows the relationship between Flow crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Flow.
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 Flow offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Flow'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 Flow Crypto.Check out Flow Correlation, Flow Volatility and Investing Opportunities module to complement your research on Flow. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Flow 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.