There are two schools of thought in determining the price of Big Data.
By way of intrinsic value: This typically involves on-chain metrics, project metrics and financial metrics of Big Data, collectively known as fundamental analysis. The law of supply and demand, tokenomics, use case, project roadmap as well as regulations and governance involved would affect the value of Big Data from a long term perspective.
By way of price action: Primarily analyzed via candlestick chart patterns and technical indicators such as MACD, RSI and the bollinger bands, technical analysis forecasts the price of Big Data on the basis that history tends to repeat itself. As the candlestick charts are a general representation of the emotion of the market, news announcements and community sentiment can be significant price action drivers for Big Data as well.
Investors tend to prefer the long term nature of fundamental analysis, whereas short term traders tend to rely on technical analysis more. In reality, both analyses may combine and create interesting scenarios for Big Data and the cryptocurrency market as a whole.

Big Data achieved the all-time high of $14.93 in 2021-03-07, and is currently trading at $0.1847.

In 2022-12-19, Big Data reached the all-time low of $0.01522.

The current market cap of Big Data is $4.46 M, as 24.15 M BDP BDP is trading at the price of $0.1847.

There are currently 24.15 M BDP circulating in the market. These Big Datas can be actively traded or used in the open market.

In total, there will be 80.00 M BDP BDP. This includes the circulating supply, as well as those supply being locked or staked, and those yet to be mined, minted, created.

At the moment, the fully diluted market cap, also called the fully diluted value (FDV) of Big Data is 30.2%. The FDV is calculated taking the assumption that all supply of Big Data is circulation, multiplied by its current price of $0.1847.

With an algorithm automated identifying historical data trends, this Big Data price prediction estimates and adjusts the forecast from time to time based on current market conditions. With such advanced machine learning, this prediction can be used to help investors in gauging the probability of the crypto market before making any investment decisions.

Big Data has a good potential ROI as the volatility itself opportunities for multitude profits. Such volatility is a double-edged sword, and as such would be suitable for investors with high risk tolerance and healthy financial position. Therefore, it is important to remember that Big Data and the crypto market as a whole is always subject to extreme market conditions, legal policies, social media stories, and other unpredictable factors. As such, it is advisable to exercise risk management and do your own research (DYOR) before investing in Big Data.

You can buy Big Data via Gate.io by following the steps on how to buy BDP once you have funded your account.