Themes Cloud Computing Etf Market Value
| CLOD Etf | 33.04 0.16 0.48% |
| Symbol | Themes |
The market value of Themes Cloud Computing is measured differently than its book value, which is the value of Themes that is recorded on the company's balance sheet. Investors also form their own opinion of Themes Cloud's value that differs from its market value or its book value, called intrinsic value, which is Themes Cloud's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Themes Cloud's market value can be influenced by many factors that don't directly affect Themes Cloud's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Themes Cloud's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Cloud is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Cloud's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Themes Cloud '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 Themes Cloud's etf 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 Themes Cloud.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in Themes Cloud on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Themes Cloud Computing or generate 0.0% return on investment in Themes Cloud over 180 days. Themes Cloud is related to or competes with Pacer BlueStar, One One, Unlimited HFMF, Themes Natural, Spinnaker ETF, ProShares, and First Trust. Themes Cloud is entity of United States. It is traded as Etf on NASDAQ exchange. More
Themes Cloud 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 Themes Cloud's etf 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 Themes Cloud Computing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 5.32 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 1.64 |
Themes Cloud Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Cloud's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Cloud's standard deviation. In reality, there are many statistical measures that can use Themes Cloud historical prices to predict the future Themes Cloud's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.12) |
Themes Cloud Computing Backtested Returns
Themes Cloud Computing owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.077, which indicates the etf had a -0.077 % return per unit of risk over the last 3 months. Themes Cloud Computing exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Themes Cloud's Coefficient Of Variation of (968.07), risk adjusted performance of (0.07), and Variance of 1.47 to confirm the risk estimate we provide. The entity has a beta of 1.09, which indicates a somewhat significant risk relative to the market. Themes Cloud returns are very sensitive to returns on the market. As the market goes up or down, Themes Cloud is expected to follow.
Auto-correlation | -0.06 |
Very weak reverse predictability
Themes Cloud Computing has very weak reverse predictability. Overlapping area represents the amount of predictability between Themes Cloud time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Themes Cloud Computing price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Themes Cloud price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 1.49 |
Themes Cloud Computing lagged returns against current returns
Autocorrelation, which is Themes Cloud etf'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 Themes Cloud's etf expected returns. We can calculate the autocorrelation of Themes Cloud returns to help us make a trade decision. For example, suppose you find that Themes Cloud has exhibited high autocorrelation historically, and you observe that the etf 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 |
Themes Cloud 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 Themes Cloud etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Cloud etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Cloud etf over time.
Current vs Lagged Prices |
| Timeline |
Themes Cloud Lagged Returns
When evaluating Themes Cloud's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Cloud etf have on its future price. Themes Cloud 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, Themes Cloud autocorrelation shows the relationship between Themes Cloud etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Cloud Computing.
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 Themes Cloud Computing is a strong investment it is important to analyze Themes Cloud's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Themes Cloud's future performance. For an informed investment choice regarding Themes Etf, refer to the following important reports:Check out Themes Cloud Correlation, Themes Cloud Volatility and Themes Cloud Alpha and Beta module to complement your research on Themes Cloud. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Themes Cloud technical etf 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, etf market cycles, or different charting patterns.