Gaxosai Stock Analysis

Gaxosai Stock Analysis Notes

About 19.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.58. Some equities with similar Price to Book (P/B) outperform the market in the long run. Gaxosai recorded a loss per share of 3.25. The entity had not issued any dividends in recent years. The firm had 1:12 split on the 8th of March 2024. To learn more about Gaxosai call Vadim Mats at 973 275 7428 or check out https://gaxos.ai.

Gaxosai Investment Alerts

Gaxosai Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 2.74 M.

Gaxosai Profitablity

Management Efficiency

Gaxosai has return on total asset (ROA) of (0.432) % which means that it has lost $0.432 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.6928) %, meaning that it created substantial loss on money invested by shareholders. Gaxosai's management efficiency ratios could be used to measure how well Gaxosai manages its routine affairs as well as how well it operates its assets and liabilities. The current Return On Tangible Assets is estimated to decrease to -1.14. The current Return On Capital Employed is estimated to decrease to -1.21. The Gaxosai's current Other Current Assets is estimated to increase to about 30.3 K, while Total Assets are projected to decrease to under 2.5 M.

Technical Drivers

As of the 5th of October, Gaxosai retains the Risk Adjusted Performance of (0.07), market risk adjusted performance of (0.35), and Standard Deviation of 6.52. Gaxosai technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.

Gaxosai Price Movement Analysis

Gaxosai Insider Trading Activities

Gaxosai Predictive Daily Indicators

Gaxosai Forecast Models

Gaxosai's time-series forecasting models are one of many Gaxosai's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Gaxosai's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Gaxosai prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Gaxosai shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Gaxosai. By using and applying Gaxosai Stock analysis, traders can create a robust methodology for identifying Gaxosai entry and exit points for their positions.

When running Gaxosai's price analysis, check to measure Gaxosai's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gaxosai is operating at the current time. Most of Gaxosai's value examination focuses on studying past and present price action to predict the probability of Gaxosai's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gaxosai's price. Additionally, you may evaluate how the addition of Gaxosai to your portfolios can decrease your overall portfolio volatility.