Grayscale Decentralized Finance Stock Analysis

Grayscale OTC Stock Analysis Notes

The company had not issued any dividends in recent years. The quote for Grayscale Decentralized Finance is listed on Over The Counter exchange (i.e., OTC), and the entity is not required to meet listing requirements such as those found on the Nasdaq, NYSE, or AMEX exchanges.

Grayscale Decentralized Investment Alerts

Technical Drivers

As of the 21st of December, Grayscale Decentralized retains the risk adjusted performance of 0.1075, and Market Risk Adjusted Performance of (1.93). Our technical analysis interface lets you check existing technical drivers of Grayscale Decentralized, as well as the relationship between them. Simply put, you can use this information to find out if the firm will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to analyze and collect data for eighteen technical drivers for Grayscale Decentralized, which can be compared to its competitors. Please check out Grayscale Decentralized downside deviation, treynor ratio, expected short fall, as well as the relationship between the variance and potential upside to decide if Grayscale Decentralized is priced fairly, providing market reflects its last-minute price of 35.79 per share. Given that Grayscale Decentralized Finance has treynor ratio of (1.94), we strongly advise you to confirm Grayscale Decentralized's regular market performance to make sure the company can sustain itself at a future point.

Grayscale Decentralized Price Movement Analysis

Grayscale Decentralized Predictive Daily Indicators

Grayscale Decentralized Forecast Models

Grayscale Decentralized's time-series forecasting models are one of many Grayscale Decentralized's otc 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 Grayscale Decentralized'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.

When running Grayscale Decentralized's price analysis, check to measure Grayscale Decentralized'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 Grayscale Decentralized is operating at the current time. Most of Grayscale Decentralized's value examination focuses on studying past and present price action to predict the probability of Grayscale Decentralized's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Grayscale Decentralized's price. Additionally, you may evaluate how the addition of Grayscale Decentralized to your portfolios can decrease your overall portfolio volatility.