➡️Project "Crypto Pump Signals for Binance" provides exclusive access to secret information that can help you easily profit multiple times a day (Statistics and reports on all coins 🚀pumped for last years you can find in Main Menu of this channel). Using sophisticated AI algorithms, Crypto Pump Signals collects and analyzes a huge amount of data, including historical price data, trading volumes, news and social signals. This allows you to create a detailed market overview and form a training database for AI. To determine the probability of pumping each coin on the exchange in the short term, AI uses various mathematical models. For example, regression methods predict prices, classification algorithms determine the type of pump, and clustering methods group similar features of upcoming pumps together. AI mathematical models such as random forest, gradient boosting or neural networks are used for this purpose. 📖Two methods are used to determine the accuracy of signals: Pearson correlation and ROC-curve. ➡️The Pearson correlation evaluates the degree of connection between the predicted and real prices, and the ROC curve evaluates the classification efficiency of the model. ➡️Regarding the determination of the possible percentage increase in the value of each coin during the pump, AI uses statistical methods and time series forecasting algorithms. ARIMA, LSTM or Prophet models are used successfully to achieve this goal. They analyze previous price fluctuations and, based on this data, make forecast signals about future price changes for each coin on the exchange. ✔️When it comes to determining when to sell an asset to maximize profits, AI powered by supercomputer uses an approach based on risk management and exit strategies. This includes setting take profit values based on predicted volatility and a potential upside percentage of the coin.