A 30% increase in trading efficiency has been made.
It is commonly seen in China that traders switch among iDeal, QTrade, and other instant message apps to gather information such as pricing queries and price quotes. This is how the traditional financial trading model works. Traders need to negotiate prices, manually make changes based on clients’ quotes, and search for counterparties’ information. During trading hours, traders are required to estimate the price, make an offer, and secure deals.
With technologies like NLP and Visualization Engine Configuration, Hengtian has developed an AI trading bot that helps to realize the automatic trading procedure.
Once the trading negotiation starts, the bot will trigger functions including risk control, automatic planning, transaction intentions gathering, and counterparties identification.
In short, it allows financial institutions to boost efficiency, effectively prevent financial risks, and save labor costs.
