Dolphin.fm
  • 🐬Overview
    • Introduction
    • Background
    • The Vision
    • Roadmap
    • Core Components
  • 🌊Product Manual
    • Stage 1: Knowledge Discovery Trading Engine
    • Onboarding Wizard
    • Knowledge Discovery Trading Engine(KDTE)
    • One-Click Trading
    • One-Click Investment
      • Dual Investment with Downside Protection
      • Single Asset Yield Farming with Impermanent Loss Protection
    • Stage 2: Agent Engine and Ecosystem
  • 💡Technology
    • System Architecture
      • Online Service
      • Knowledge Service
      • AI Infrastructure
      • AI Agent Infrastructure
    • Large-Language-Model Specialized in Investing
      • Domain Knowledge
      • Tabular Understanding
    • Quantitative and Machine Learning Models
      • Main Strategy for Hedging Impermanent Loss
      • Time Selection and Loss & Rebalance Strategy
      • Volatility Predictions
  • 💎TOKENOMICS
    • Introduction to $DOLFM
    • $DOLFM Token Utilities
    • Quantitative Token Self-regulating Mechanism
      • Buyback & Burn Mechanism
      • Revenue-based Minting Algorithm
      • veToken Model
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  • Smart Search Engine
  • Q&A Chatbot
  1. Product Manual

Knowledge Discovery Trading Engine(KDTE)

PreviousOnboarding WizardNextOne-Click Trading

Last updated 9 months ago

Dolphin.fm explores the boundaries of current foundational LLMs by applying Retrieval-Augmented Generation (RAG) and fine-tuning specifically for crypto information. The Knowledge Discovery Trading Engine (KDTE) offers comprehensive information and one-click trading capabilities. The main user interface for knowledge discovery includes two primary functions: a Smart Search Engine and a Q&A Chatbot, aiming to simplify the process of finding accurate, relevant, and timely information while offering educational resources and market insights, making it easier for users to navigate the complex world of cryptocurrency.

Smart Search Engine

User pain point: Users struggle to find accurate and summarized information quickly.

Our solution: AI-powered search engine that provides quick and precise results from multiple data sources. This feature uses advanced RAG algorithms to filter out noise and present the most relevant and timely information.

Q&A Chatbot

User pain point: Users need reliable answers to their queries in real-time.

Our solution: Implement a general Q&A feature that leverages natural language processing (NLP) and LLM models to understand and respond to user queries accurately. Specifically, our chatbot can answer questions categorized as

  • Crypto Learning Hub: Offers summarized, high-quality information focusing on the most important aspects of crypto projects and protocols. This feature provides concise and relevant educational content, ensuring users can quickly grasp essential concepts

  • Coin Quality Evaluation: Coin evaluation tool analyzes multiple factors such as market performance, developer activity, community support, and security measures with a comprehensive rating.

  • Market Sentiment Analysis: Sentiment analysis tool scans social media, news articles, and forums to gauge market sentiment. This tool uses NLP to interpret the tone and context of discussions, providing users with insights into the overall market mood and potential price movements.

  • Daily News Digest: News analysis tool scans, summarizes, and analyzes daily news from various reputable sources, highlighting the most important events and trends affecting the market, and offers insightful analysis on how these events might impact investments.

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