Gaxosai Stock Alpha and Beta Analysis
GXAI Stock | 1.22 0.04 3.39% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Gaxosai. It also helps investors analyze the systematic and unsystematic risks associated with investing in Gaxosai over a specified time horizon. Remember, high Gaxosai'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 Gaxosai's market risk premium analysis include:
Beta (1.40) | Alpha 0.67 | Risk 10.72 | Sharpe Ratio (0.08) | Expected Return (0.81) |
Enterprise Value |
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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.
Gaxosai |
Gaxosai Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Gaxosai market risk premium is the additional return an investor will receive from holding Gaxosai 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 Gaxosai. 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 Gaxosai's performance over market.α | 0.67 | β | -1.4 |
Gaxosai 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 Gaxosai's Buy-and-hold return. Our buy-and-hold chart shows how Gaxosai performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Gaxosai Market Price Analysis
Market price analysis indicators help investors to evaluate how Gaxosai stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gaxosai shares will generate the highest return on investment. By understating and applying Gaxosai stock market price indicators, traders can identify Gaxosai position entry and exit signals to maximize returns.
Gaxosai Return and Market Media
The median price of Gaxosai for the period between Sun, Dec 15, 2024 and Sat, Mar 15, 2025 is 1.71 with a coefficient of variation of 44.48. The daily time series for the period is distributed with a sample standard deviation of 0.92, arithmetic mean of 2.06, and mean deviation of 0.72. The Stock received a lot of media exposure during the period. Price Growth (%) |
Timeline |
1 | Gaxos.ai Inc. Announces 5 Million Registered Direct Offering Priced At-the-Market Under Nasdaq ... | 12/19/2024 |
2 | Gaxos.ai Inc. Announces Closing of 5 Million Registered Direct Offering Priced At-the-Market Under Nasdaq Rules | 12/20/2024 |
3 | Gaxos.ai Raises 5 Million in Registered Direct Offering, Issues Warrants | 12/23/2024 |
4 | Gaxos.ai Inc. Announces 4 Million Registered Direct Offering Priced At-the-Market Under Nasdaq ... | 12/27/2024 |
5 | Gaxos.ai Inc. Announces Closing of 4 Million Registered Direct Offering Priced At-the-Market ... | 12/30/2024 |
6 | Gaxos.ai Inc. Raises 4 Million in Registered Direct Offering | 12/31/2024 |
7 | Gaxos.ai Inc. Emerging AI Innovator Below 2 Billion | 01/17/2025 |
8 | The best ASX AI stock to invest 1,000 in right now | 01/30/2025 |
9 | Insider Trading | 03/03/2025 |
10 | Gaxos.ai Inc. Expands AI Capabilities with New Technology Acquisition | 03/06/2025 |
About Gaxosai 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 Gaxosai or other stocks. Alpha measures the amount that position in Gaxosai 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.
2024 | 2025 (projected) | Days Sales Outstanding | 10.27 | 9.13 | PTB Ratio | 1.35 | 1.29 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Gaxosai in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Gaxosai's short interest history, or implied volatility extrapolated from Gaxosai options trading.
Build Portfolio with Gaxosai
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
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Check out Gaxosai Backtesting, Gaxosai Valuation, Gaxosai Correlation, Gaxosai Hype Analysis, Gaxosai Volatility, Gaxosai History and analyze Gaxosai Performance. For more detail on how to invest in Gaxosai Stock please use our How to Invest in Gaxosai guide.You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Gaxosai 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.