Binance Wallet launches artificial intelligence trading signals

Binance Platform has launched a new feature called "Transaction Signal" on Binance Wallet. The feature is designed to help users identify potential trading opportunities by leveraging on-chain trading activity and AI-driven sentiment analysis. The launch of trading signals is based on Binance’s existing AI capabilities, which have been previously integrated into the redesigned Binance app and AI token report. Users can now access three types of signals directly in Binance Wallet: Smart Currency Signal, Smart Currency KOL Signal, and Emotion Signal. Smart currency signals are generated based on on-chain data to identify tokens purchased by the best performing blockchain address called "smart currency". A signal is triggered when a large number of such addresses purchase the same token in a short period of time. Key features include detecting the best performing address based on historical ROI (ROI), win rate and profit/loss (PnL) metrics. If multiple signals appear for the same token, the signals will be aggregated and the progress bar will display the smart currency exit rate to help the user make purchase decisions. Additionally, AI-generated summary provides insight into the context of each token and the factors driving interest. Smart KOL signals function similar to smart currency signals, but focus on the addresses of the best performing key opinion leaders (KOLs) in the cryptocurrency meme trading community. A signal is triggered when a large number of these KOL addresses purchase the same token in a short period of time. Users can view information such as name, address, 30-day profit rate and profit loss. Emotional signals are powered by AI-driven sentiment analyses that are derived from social media activity on X. These signals include data such as mention volume, sentiment classification, hype growth indicators, hot topics, etc. and discuss the key accounts of the token. The algorithm identifies popular tokens based on real-time visibility and engagement. Each signal provides a snapshot of discussions generated by AI, percentage of hype growth, and overall sentiment. It is recommended that users conduct independent research before making investment decisions.