Lagrange Market Value
| LA Crypto | USD 0.29 0.02 6.45% |
| Symbol | Lagrange |
Lagrange '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 Lagrange'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 Lagrange.
| 12/14/2025 |
| 01/13/2026 |
If you would invest 0.00 in Lagrange on December 14, 2025 and sell it all today you would earn a total of 0.00 from holding Lagrange or generate 0.0% return on investment in Lagrange over 30 days. Lagrange is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Lagrange is peer-to-peer digital currency powered by the Blockchain technology.
Lagrange 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 Lagrange'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 Lagrange upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.05 | |||
| Information Ratio | 0.0186 | |||
| Maximum Drawdown | 37.47 | |||
| Value At Risk | (8.51) | |||
| Potential Upside | 11.43 |
Lagrange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lagrange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lagrange's standard deviation. In reality, there are many statistical measures that can use Lagrange historical prices to predict the future Lagrange's volatility.| Risk Adjusted Performance | 0.0333 | |||
| Jensen Alpha | 0.2444 | |||
| Total Risk Alpha | (0.59) | |||
| Sortino Ratio | 0.0212 | |||
| Treynor Ratio | (0.64) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lagrange'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.
Lagrange Backtested Returns
Lagrange has Sharpe Ratio of -0.0242, which conveys that digital coin had a -0.0242 % return per unit of risk over the last 3 months. Lagrange exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Lagrange's Mean Deviation of 5.3, downside deviation of 6.05, and Risk Adjusted Performance of 0.0333 to check out the risk estimate we provide. The crypto secures a Beta (Market Risk) of -0.33, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Lagrange are expected to decrease at a much lower rate. During the bear market, Lagrange is likely to outperform the market.
Auto-correlation | 0.44 |
Average predictability
Lagrange has average predictability. Overlapping area represents the amount of predictability between Lagrange time series from 14th of December 2025 to 29th of December 2025 and 29th of December 2025 to 13th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Lagrange price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Lagrange price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Lagrange lagged returns against current returns
Autocorrelation, which is Lagrange 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 Lagrange's crypto coin expected returns. We can calculate the autocorrelation of Lagrange returns to help us make a trade decision. For example, suppose you find that Lagrange 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 |
Lagrange 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 Lagrange crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lagrange crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lagrange crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Lagrange Lagged Returns
When evaluating Lagrange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lagrange crypto coin have on its future price. Lagrange 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, Lagrange autocorrelation shows the relationship between Lagrange crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Lagrange.
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 Lagrange offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Lagrange'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 Lagrange Crypto.Check out Lagrange Correlation, Lagrange Volatility and Investing Opportunities module to complement your research on Lagrange. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Lagrange 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.