Bilal NaseemFollow

Degree

Master of Science in Data Science

Department

Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Fall 2024

Supervisor

Dr. Tariq Mahmood, Professor and Program Coordinator MS(CS) and MS(DS) Programs, School of Mathematics and Computer Science (SMCS)

Keywords

Telegram Bot, LLM, AI Agent, Cryptocurrencies, RAG

Abstract

As Large Language Models (LLMs) have grown in popularity and found applications across numerous domains, their potential for trading and financial analysis has also emerged. During the 2024 cryptocurrency bull run, AI agents gained significant traction, with tokens such as ai16z, AIXBT, and Virtuals Protocol experiencing substantial rises in value. These tokens provide access to agents that offer analysis and insights on other crypto tokens using blockchain data. In this project, I’ve developed an AI-driven agent suite on Telegram capable of enhancing cryptocurrency trading and analysis by leveraging advanced techniques: 1. Technical Analysis Agent: This agent performs real-time technical analysis of candle- stick charts for any cryptocurrency, across any timeframe. 2. Price Volume Tracker Agent: It evaluates a coin’s past performance by analyzing metrics such as trading volume, market capitalization, and price fluctuations. 3. Market Network Agent: Using a knowledge graph, this agent answers complex queries about the interrelationships between various cryptocurrencies, enabling traders to make informed decisions based on interconnected market dynamics. These agents aim to empower traders and analysts by offering deep insights, enabling faster and more accurate decision-making in the volatile cryptocurrency market. Keywords: Large Language Models, Retrieval Augmented Generation, Cryptocurrencies, Automated Trading, Technical Analysis

Document Type

Restricted Access

Submission Type

Research Project

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