1. Technical Analysis: This approach calculates the future price of Decentralized Machine Learning based on historical data. The longer the forecast period, the less accurate it becomes due to the high volatility of cryptocurrencies. One year is typically the limit as a forecast period. Technical analysis is a paramount method for Decentralized Machine Learning contract trading.

2. Valuation: This strategy focuses on value investing, eschewing technical analysis to delve deeper into an asset's intrinsic value and thereby reducing trading frequency. This approach, often used by legendary investors, is crucial for spot investment. When market participants talk about investing in a crypto asset and earning returns multiple times their investment, they're referring to buying spot based on valuation and holding for the medium to long term. BingX provides valuations for a variety of popular tokens. To view the valuation of Decentralized Machine Learning, click on Decentralized Machine Learning Price.

3. MVRV (Market Value to Realized Value): This indicator requires extensive data, the most critical being the price and quantity of Decentralized Machine Learning purchased via on-chain wallets, which requires meticulous calculation. MVRV only predicts whether the price is currently high or low. It's often used alongside valuation strategies to decide when to buy and sell Decentralized Machine Learning. Insights from the Decentralized Machine Learning MVRV are included in the "Decentralized Machine Learning Price" section.

The average price uses the moving average indicator to calculate the average annual growth of the cryptocurrency over the last five years. If data for less than five years is available, such as three years, then the three-year data is used. For tokens that have been on the market for less than three months, this data cannot be calculated. It is recommended to view the valuation page.

Average Price = Annual Opening Price * (P1 + P2 + P3 + P4 + P5) / 5

For a forecast period exceeding one year, using the moving average indicator can result in significant discrepancies between calculated results and actual prices, due to the inability to obtain the accurate year-on-year growth rate. Additionally, as the cryptocurrency market environment changes rapidly, longer periods tend to show greater price variance. Therefore, investors are advised to refer to professional analysts' manual price estimates on BingX for Decentralized Machine Learning, which are generally more accurate than AI predictions and can be found under Decentralized Machine Learning Price.

BingX analysts adopts the "Hot Money model" for their forecasts, which involves analyzing the liquidity of hot money and position data that are too scattered to be effectively collected by AI. Consequently, the accuracy of forecasts extending beyond six months is about 50% higher with manual analysis than with AI.