US 1's market value is the price at which a share of US 1 trades on a public exchange. It measures the collective expectations of US 1 Year investors about its performance. US 1 is enlisted at 4.08 as of the 24th of July 2025; that is 0.49% increase since the beginning of the trading day. The index's open price was 4.06. With this module, you can estimate the performance of a buy and hold strategy of US 1 Year and determine expected loss or profit from investing in US 1 over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
US1Y
US 1 '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 US 1's index 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 US 1.
0.00
04/25/2025
No Change 0.00
0.0
In 2 months and 31 days
07/24/2025
0.00
If you would invest 0.00 in US 1 on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding US 1 Year or generate 0.0% return on investment in US 1 over 90 days.
US 1 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 US 1's index 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 US 1 Year upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for US 1's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US 1's standard deviation. In reality, there are many statistical measures that can use US 1 historical prices to predict the future US 1's volatility.
US 1 Year retains Efficiency (Sharpe Ratio) of 0.0725, which indicates the index had a 0.0725 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for US 1, which you can use to evaluate the volatility of the index. The entity owns a Beta (Systematic Risk) of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and US 1 are completely uncorrelated.
Auto-correlation
-0.33
Poor reverse predictability
US 1 Year has poor reverse predictability. Overlapping area represents the amount of predictability between US 1 time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 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 US 1 Year price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current US 1 price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.33
Spearman Rank Test
0.08
Residual Average
0.0
Price Variance
0.0
US 1 Year lagged returns against current returns
Autocorrelation, which is US 1 index'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 US 1's index expected returns. We can calculate the autocorrelation of US 1 returns to help us make a trade decision. For example, suppose you find that US 1 has exhibited high autocorrelation historically, and you observe that the index 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
US 1 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 US 1 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if US 1 index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in US 1 index over time.
Current vs Lagged Prices
Timeline
US 1 Lagged Returns
When evaluating US 1's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of US 1 index have on its future price. US 1 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, US 1 autocorrelation shows the relationship between US 1 index current value and its past values and can show if there is a momentum factor associated with investing in US 1 Year.
Regressed Prices
Timeline
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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.