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CoinCard

Phong Cao, Worcester Polytechnic Institute, @plddoanhz

Doanh Phung, Worcester Polytechnic Institute, @phong1105

Truong Dang, New Jersey Institute of Technology, @.truongdang

GitHub: https://github.com/PhongCT1105/Coincard

Coinbase Replica - Trade with 1 Click

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CoinCard - AI Native Coinbase

CoinCard transforms crypto investing into an autonomous, insight-driven experience. By combining live market data, X (Twitter) trends, and AI reasoning, it guides users to buy, sell, or hold confidently

Original Coinbase	CoinCard
Manual trading & portfolio tracking	Autonomous, insight-driven investing via AI
Static charts	AI agents that explain why trends happen
Users manually analyze data	AI scouts tokens, news, tweets, and emotions in real time
Simple watchlists	Personalized AI alerts based on user trading style
Limited education	AI chat mentor is everywhere!

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What It Does? - Live Data Update, Fetch, Display

Fetches real-time crypto data (auto-refreshes every 10 minutes)
Provides visual analytics for each coin

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What It Does? - Sentiment Analyzation

Tracks live crypto trends and community sentiment from X (Twitter)

Traders actively update trading information on X‼️
Use X API to fetch all tweets related to a coin
Integrate xAI’s Sentiment Model to classify emotions: BULLISH, NEUTRAL, or BEARISH

⇒ Help users spot emerging trends before price movements

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What It Does? - Backend Transaction

Enables users to BUY, SELL, and CONVERT coins seamlessly through a unified panel

Sell API completed! Frontend integration in progress 🥲
Frontend automatically fetches updated balances instantly using React and Snowflake queries

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What It Does? - Transaction History Log

Automatically records every BUY, SELL, and CONVERT transaction with timestamp and profit/loss
Displays a real-time transaction feed powered by Snowflake (always up to date after each trade)

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What It Does? - Prompt Engineering

AI Chat Assistant (“Ask Grok”)

Embedded everywhere in CoinCard from Home to Trade tabs

Use xAI API (Grok) with custom Prompt Engineering to give users more understanding of a specific coin

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What It Does? - Multi-Agent AI

Strategic Lab

Orchestrate multiple agents (News, Sentiment, Behavioral, Analysis) using LangGraph

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What It Does? - Retrieval-Augmented Generation (RAG)

Style Match

Use RAG to learn user’s investing style from

coins they’ve bought
coins they’ve asked the chatbot about
past portfolio performance and preferences

Calculates a Relevance Score (0–1) to measure how well coin matches user’s trading style

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What It Does? - Anomaly Detection

Automatically triggers an alert box when user’s matched-style coin has an unusual price change
Powered by Snowflake Cortex Anomaly Detection, trained directly on live crypto price data.
Utilizes Snowflake Streams & Tasks to monitor new records and flag anomalies each 5 minutes
Fully automated data flow: CoinGecko → Snowflake → FastAPI → React UI
No manual requests required ‼️

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What It Does? - Action Agent

Live Trading

Control VibeTrade agent to reason current data and display recommendation on whether to Trade or Hold
Recommendation can be refreshed and re-generated each about 2 minutes

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Technologies Used

Python, FastAPI, hashlib → handle API routes and ETL pipelines
SQL → manage structured crypto data and portfolio analytics
React, TypeScript → frontend display
Snowflake API

Snowflake Database → store crypto prices, volume, user portfolio, and transaction logs
snowflake.connector → connect backend FastAPI to Snowflake securely without local storage, transfer SQL queries to Snowflake instead of retrieving its data to local
snowpark → creates Python UDFs for smarter SQL queries and AI-powered transformations
Snowflake Cortex Anomaly Detection → detect abnormal price changes automatically
Snowflake Streams & Tasks → monitor data changes and triggers anomaly workflows

X API → collect trending tweets and news related to selected coins
xAI API (Grok) → provide natural-language reasoning and personalized chat insights
LangGraph, RAG → orchestrate agents and retrieve user-specific trading data
CoinGecko API

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TRACKS APPLIED FOR

Best Overall Hack

Business and Enterprise

Best Practical AI Innovation

Best Financial Hack

YC x HackPrinceton Challenge

Most Impactful Use of the X API

Best Use of Grok for Real-Time Data/Signal Analysis

Exploring Hybrid Intelligence

Best Predictive Intelligence

Best Use of Snowflake API

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THANK YOU