Trust Stamp Stock Alpha and Beta Analysis
| IDAI Stock | USD 2.14 0.09 4.39% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Trust Stamp. It also helps investors analyze the systematic and unsystematic risks associated with investing in Trust Stamp over a specified time horizon. Remember, high Trust Stamp'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 Trust Stamp's market risk premium analysis include:
Beta (1.69) | Alpha (1.73) | Risk 13.25 | Sharpe Ratio (0.07) | Expected Return (0.89) |
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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.
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Trust Stamp Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Trust Stamp market risk premium is the additional return an investor will receive from holding Trust Stamp 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 Trust Stamp. 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 Trust Stamp's performance over market.| α | -1.73 | β | -1.69 |
Trust Stamp 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 Trust Stamp's Buy-and-hold return. Our buy-and-hold chart shows how Trust Stamp performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Trust Stamp Market Price Analysis
Market price analysis indicators help investors to evaluate how Trust Stamp stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Trust Stamp shares will generate the highest return on investment. By understating and applying Trust Stamp stock market price indicators, traders can identify Trust Stamp position entry and exit signals to maximize returns.
Trust Stamp Return and Market Media
The median price of Trust Stamp for the period between Sun, Dec 15, 2024 and Sat, Mar 15, 2025 is 4.32 with a coefficient of variation of 59.95. The daily time series for the period is distributed with a sample standard deviation of 2.92, arithmetic mean of 4.87, and mean deviation of 2.11. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Insider Trading | 12/13/2024 |
2 | Disposition of 771 shares by Mcclintock William of Trust Stamp subject to Rule 16b-3 | 12/27/2024 |
3 | Acquisition by Potts Charles Edward of 5719 shares of Trust Stamp subject to Rule 16b-3 | 12/31/2024 |
4 | Trust Stamp Announces Reverse Stock Split Effective January 6, 2025 | 01/02/2025 |
5 | Acquisition by Andrew Gowasack of 13478 shares of Trust Stamp subject to Rule 16b-3 | 01/23/2025 |
6 | Acquisition by Mcclintock William of 771 shares of Trust Stamp subject to Rule 16b-3 | 02/07/2025 |
7 | Trust Stamp announces the allowance by USPTO of Non-Provisional Patent Application 17725,978 entitled Interoperable Biometric Representation unlocking the poten... | 02/25/2025 |
8 | Disposition of 8659 shares by Joshua Allen of Trust Stamp subject to Rule 16b-3 | 03/07/2025 |
9 | Acquisition by Potts Charles Edward of 228 shares of Trust Stamp subject to Rule 16b-3 | 03/10/2025 |
About Trust Stamp 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 Trust or other stocks. Alpha measures the amount that position in Trust Stamp 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.
| 2022 | 2023 | 2024 | 2025 (projected) | Interest Debt Per Share | 0.25 | 0.16 | 0.19 | 0.18 | Revenue Per Share | 1.14 | 0.64 | 0.58 | 0.4 |
Trust Stamp Upcoming Company Events
As portrayed in its financial statements, the presentation of Trust Stamp's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Trust Stamp's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Trust Stamp's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Trust Stamp. Please utilize our Beneish M Score to check the likelihood of Trust Stamp's management manipulating its earnings.
| 4th of April 2024 Upcoming Quarterly Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View |
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Align your risk with return expectations
Check out Trust Stamp Backtesting, Trust Stamp Valuation, Trust Stamp Correlation, Trust Stamp Hype Analysis, Trust Stamp Volatility, Trust Stamp History and analyze Trust Stamp Performance. For more detail on how to invest in Trust Stock please use our How to Invest in Trust Stamp guide.You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Trust Stamp 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.