Responding to an RFQ is rarely the hard part. Proving how, when, and through which channel it happened — days or weeks later — is where the real challenge begins.In trading environments where messages flow across WhatsApp, email, and internal platforms,…
How to do NLP, Episode 1
[vc_row][vc_column][vc_column_text] How to transform an open-source data for NLP training
RFQ Automation via Email: Streamlining Trading
[vc_row][vc_column][vc_column_text]Email RFQ automation is a valuable tool for streamlining trading workflow. It allows traders to quickly and efficiently send and receive Request for Quotation (RFQ) emails to counterparties.
RFQ Automation
[vc_row][vc_column][vc_column_text css=”.vc_custom_1666777826081{padding-top: 20px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #f5f9ff !important;border-radius: 10px !important;}”]When you send out a request for quotation (RFQ) to potential vendors for an automation project, you end up with a stack of widely different prices and proposals?…
RFQ Trading Automation
[vc_row][vc_column][vc_column_text]The introduction of the RFQ function continues to have a positive impact on global markets, and traders and brokers need the capability to interact with RFQs electronically.
The Emmie AI Engine and NLP Trading
[vc_row][vc_column][vc_column_text] The Emmie AI engine from Terranoha brings natural language processing to trading desks Chat data that contains complex financial language is processed by our Natural Language Processing (NLP) trading technology. It converts these unstructured resources into highly accurate, structured data…
NLP Speeds Up RFQ Pricing
[vc_row][vc_column][vc_column_text]Computer algorithms and the latest developments in natural language processing (NLP) and artificial intelligence (AI) could make trading workflows and processes more efficient and less time-consuming.