Trade Desk Stock Alpha and Beta Analysis
| TTD Stock | USD 129.70 2.35 1.85% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Trade Desk. It also helps investors analyze the systematic and unsystematic risks associated with investing in Trade Desk over a specified time horizon. Remember, high Trade Desk's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Trade Desk's market risk premium analysis include:
Beta 1.07 | Alpha 0.23 | Risk 2.04 | Sharpe Ratio 0.18 | Expected Return 0.36 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
Trade |
Trade Desk Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Trade Desk market risk premium is the additional return an investor will receive from holding Trade Desk long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Trade Desk. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Trade Desk's performance over market.| α | 0.23 | β | 1.07 |
Trade Desk expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Trade Desk's Buy-and-hold return. Our buy-and-hold chart shows how Trade Desk performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Trade Desk Market Price Analysis
Market price analysis indicators help investors to evaluate how Trade Desk stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Trade Desk shares will generate the highest return on investment. By understating and applying Trade Desk stock market price indicators, traders can identify Trade Desk position entry and exit signals to maximize returns.
Trade Desk Return and Market Media
The median price of Trade Desk for the period between Mon, Aug 26, 2024 and Sun, Nov 24, 2024 is 115.57 with a coefficient of variation of 7.68. The daily time series for the period is distributed with a sample standard deviation of 8.74, arithmetic mean of 113.83, and mean deviation of 7.51. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Disposition of 25000 shares by Laura Schenkein of Trade Desk at 5.413 subject to Rule 16b-3 | 10/22/2024 |
2 | Here are Mondays biggest analyst calls Nvidia, Apple, Meta, Roblox, Peloton, Charter, Walmart, Berkshire Hathaway more | 11/04/2024 |
3 | The Trade Desk Beats Q3 Earnings and Revenue Estimates | 11/07/2024 |
4 | Trade Desks Performance Is Even Better Than Its Earnings Suggest | 11/14/2024 |
5 | Advertising Software Stocks Q3 Results Benchmarking The Trade Desk | 11/15/2024 |
6 | Disposition of 3131 shares by Laura Schenkein of Trade Desk at 117.97 subject to Rule 16b-3 | 11/18/2024 |
7 | Disposition of 2077 shares by Jay Grant of Trade Desk at 118.15 subject to Rule 16b-3 | 11/19/2024 |
8 | Why Are The Trade Desk Shares Soaring Today | 11/20/2024 |
9 | Susquehanna Reaffirms Positive Rating for Trade Desk | 11/21/2024 |
10 | Magnite Inc A Bullish Investment Perspective | 11/22/2024 |
About Trade Desk Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Trade or other stocks. Alpha measures the amount that position in Trade Desk has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
| 2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 616.45 | 542.99 | 538.33 | 694.96 | PTB Ratio | 28.61 | 10.32 | 16.27 | 26.06 |
Trade Desk Upcoming Company Events
As portrayed in its financial statements, the presentation of Trade Desk's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Trade Desk's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Trade Desk's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Trade Desk. Please utilize our Beneish M Score to check the likelihood of Trade Desk's management manipulating its earnings.
| 15th of February 2024 Upcoming Quarterly Report | View | |
| 8th of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 15th of February 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 31st of December 2022 Last Financial Announcement | View |
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Align your risk with return expectations
Check out Trade Desk Backtesting, Trade Desk Valuation, Trade Desk Correlation, Trade Desk Hype Analysis, Trade Desk Volatility, Trade Desk History and analyze Trade Desk Performance. For information on how to trade Trade Stock refer to our How to Trade Trade Stock guide.You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Trade Desk technical stock 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, stock market cycles, or different charting patterns.