Trade Desk (Germany) Market Value
| TT8 Stock | EUR 119.54 1.98 1.63% |
| Symbol | Trade |
Trade Desk '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 Trade Desk's stock 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 Trade Desk.
| 04/27/2024 |
| 12/23/2024 |
If you would invest 0.00 in Trade Desk on April 27, 2024 and sell it all today you would earn a total of 0.00 from holding The Trade Desk or generate 0.0% return on investment in Trade Desk over 240 days. Trade Desk is related to or competes with Salesforce, ServiceNow, Uber Technologies, Snowflake, Shopify, Workday, and Trade Desk. Trade Desk, Inc. operates as a technology company in the United States and internationally More
Trade Desk 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 Trade Desk's stock 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 The Trade Desk upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.99 | |||
| Information Ratio | 0.1286 | |||
| Maximum Drawdown | 12.0 | |||
| Value At Risk | (2.99) | |||
| Potential Upside | 4.49 |
Trade Desk Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Trade Desk's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Trade Desk's standard deviation. In reality, there are many statistical measures that can use Trade Desk historical prices to predict the future Trade Desk's volatility.| Risk Adjusted Performance | 0.1196 | |||
| Jensen Alpha | 0.2935 | |||
| Total Risk Alpha | 0.2514 | |||
| Sortino Ratio | 0.1476 | |||
| Treynor Ratio | 0.3215 |
Trade Desk Backtested Returns
Trade Desk appears to be very steady, given 3 months investment horizon. Trade Desk owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the firm had a 0.14% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for The Trade Desk, which you can use to evaluate the volatility of the company. Please review Trade Desk's Risk Adjusted Performance of 0.1196, coefficient of variation of 700.77, and Semi Deviation of 1.78 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Trade Desk holds a performance score of 11. The entity has a beta of 0.98, which indicates possible diversification benefits within a given portfolio. Trade Desk returns are very sensitive to returns on the market. As the market goes up or down, Trade Desk is expected to follow. Please check Trade Desk's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Trade Desk's existing price patterns will revert.
Auto-correlation | 0.24 |
Weak predictability
The Trade Desk has weak predictability. Overlapping area represents the amount of predictability between Trade Desk time series from 27th of April 2024 to 25th of August 2024 and 25th of August 2024 to 23rd of December 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 Trade Desk price movement. The serial correlation of 0.24 indicates that over 24.0% of current Trade Desk price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 157.13 |
Trade Desk lagged returns against current returns
Autocorrelation, which is Trade Desk stock'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 Trade Desk's stock expected returns. We can calculate the autocorrelation of Trade Desk returns to help us make a trade decision. For example, suppose you find that Trade Desk has exhibited high autocorrelation historically, and you observe that the stock 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 |
Trade Desk 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 Trade Desk stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Trade Desk stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Trade Desk stock over time.
Current vs Lagged Prices |
| Timeline |
Trade Desk Lagged Returns
When evaluating Trade Desk's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Trade Desk stock have on its future price. Trade Desk 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, Trade Desk autocorrelation shows the relationship between Trade Desk stock current value and its past values and can show if there is a momentum factor associated with investing in The Trade Desk.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Trade Stock
Trade Desk financial ratios help investors to determine whether Trade Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Trade with respect to the benefits of owning Trade Desk security.