This page contains a list of the external resources, articles, and documentation that have informed the design and architecture of CryptoPulse AI.
- Building a Multimodal AI Trading Assistant for Cryptocurrency — A Manus AI-Inspired Framework
- How Should You Store and Access API Keys in Your Application?
- Error and Performance Monitoring for React | Sentry
- Python Error Tracking and Performance Monitoring | Sentry
- Architecture | Supabase Docs
- Crypto Trading Bot: Architecture and Roadmap
- How to Day Trade Crypto With Google Gemini AI
- Cryptocurrency Security Threat Modeling: Beyond Vulnerabilities
- Crypto Trading Bot Market to Surpass USD 200.1 Bn by 2035
- Architecture - Hummingbot
- AI Trading: Are Trading Bots Legal? The Legality of Using AI in 2025 - SabioTrade
- Secure your trading algorithms and servers - General Guide - AlgoTrading101 Blog
- What You Need to Build an Automated AI Crypto Trading Bot - DEV Community
- Key Management Best Practices for Crypto API Services
- Continuous Deployment with Fly.io and GitHub Actions · Fly Docs
- Deploy app servers close to your users · Fly
- Ollama Docs
- Supabase AI & LangChain Guide
- LangChain + Supabase Vector Store Guide
- Coinbase Wallet SDK Repo
- Coinbase Wallet SDK Docs
- Ollama Python Client
- Gemini API Docs
- Model Context Protocol
- Smithery
- Claude-MCP Playwright Real-World Example
- Kapa.ai MCP Tutorial
- Supabase MCP Community Repo
- Pydantic AI Guide
- Getting Started with AI Agents in Python: A Beginner's Guide to Pydantic
- Using PydanticAI to Build AI Agents for Data Analysis
- Building a Bank Support Agent Using PydanticAI
- LeewayHertz Case Studies
- Zod vs. Pydantic
- Pydantic AI MCP Overview
- Model Context Protocol Tutorial
- Building a Supabase and FastAPI Project: A Modern Backend Stack
- YouTube: Building a Supabase and FastAPI Project
- Pydantic AI + FastAPI Inspired Framework for Reliable LLM
- Sentry Customer Story: Forethought
- RAG with Descope, Supabase, and pgvector