Livepeer Market Value
| LPT Crypto | USD 14.28 0.11 0.78% |
| Symbol | Livepeer |
Livepeer '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 Livepeer'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 Livepeer.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Livepeer on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Livepeer or generate 0.0% return on investment in Livepeer over 90 days. Livepeer is related to or competes with Solana, XRP, Staked Ether, Open Network, Avalanche, Chainlink, and Ethena. Livepeer is peer-to-peer digital currency powered by the Blockchain technology.
Livepeer 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 Livepeer'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 Livepeer upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.08 | |||
| Information Ratio | 0.1377 | |||
| Maximum Drawdown | 98.21 | |||
| Value At Risk | (13.41) | |||
| Potential Upside | 24.26 |
Livepeer Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Livepeer's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Livepeer's standard deviation. In reality, there are many statistical measures that can use Livepeer historical prices to predict the future Livepeer's volatility.| Risk Adjusted Performance | 0.0996 | |||
| Jensen Alpha | 1.43 | |||
| Total Risk Alpha | 0.0976 | |||
| Sortino Ratio | 0.2415 | |||
| Treynor Ratio | 0.2853 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Livepeer'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.
Livepeer Backtested Returns
Livepeer is abnormally risky given 3 months investment horizon. Livepeer has Sharpe Ratio of 0.13, which conveys that digital coin had a 0.13% return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.91% are justified by taking the suggested risk. Use Livepeer Mean Deviation of 8.18, downside deviation of 8.08, and Risk Adjusted Performance of 0.0996 to evaluate coin specific risk that cannot be diversified away. The crypto secures a Beta (Market Risk) of 7.14, which conveys 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, Livepeer will likely underperform.
Auto-correlation | -0.64 |
Very good reverse predictability
Livepeer has very good reverse predictability. Overlapping area represents the amount of predictability between Livepeer time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th 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 Livepeer price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Livepeer price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 11.88 |
Livepeer lagged returns against current returns
Autocorrelation, which is Livepeer 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 Livepeer's crypto coin expected returns. We can calculate the autocorrelation of Livepeer returns to help us make a trade decision. For example, suppose you find that Livepeer 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 |
Livepeer 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 Livepeer crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Livepeer crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Livepeer crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Livepeer Lagged Returns
When evaluating Livepeer's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Livepeer crypto coin have on its future price. Livepeer 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, Livepeer autocorrelation shows the relationship between Livepeer crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Livepeer.
Regressed Prices |
| Timeline |
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Livepeer 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.