Claude AI Trading Bot Guide

@sufyand1

Hello there, I can build a practical, step-by-step trading framework for Claude AI with Binance, Zerodha, and HyperLiquid integration, focused on fast execution, clean architecture, and safe automation on Ubuntu 22.04. The guide will include authenticated REST/WebSocket setup, prompt-engineering flow for real-time trading decisions, trigger logic, order execution, risk controls, and lightweight backtesting with fully runnable sample code. I’ll also provide reproducible setup instructions, .env structure, and verified testnet examples that place dummy orders and return order IDs so you can get everything running confidently this weekend.

@loxtic

Hi, how are you doing? I’ve built and tested automated trading setups that connect to crypto and traditional exchanges, with focused modules for data feed, decision logic, and order execution. I can deliver a concise guide plus runnable samples for Binance, Zerodha, and Hyper Liquid testnets, including secure key handling, back-testing basics, and safety nets, all in a clear README and small repo you can run this weekend. I’ll keep the code straightforward and easy to follow, with setup notes and a minimal PDN for env and Claude usage. Let me know further if interested

@adriank06

Hello, One of the main challenges in this project is building a reliable system that connects multiple exchanges (Binance, Zerodha, and Hyperliquid) while handling authentication, real-time market data, and order execution without delays or inconsistencies. Another key challenge is safely integrating Claude AI decision-making into a live trading loop without creating over-trading behavior, latency issues, or unsafe execution in volatile markets. I would handle this by designing a modular trading framework where each exchange is isolated behind a clean API layer, with secure key management using environment variables. Real-time price feeds would be processed through WebSockets, and a structured prompt pipeline would be used to feed normalized market data into Claude for decision-making. Execution logic would be separated from AI logic, so Claude only generates signals while a controlled risk layer handles order validation, rate limits, position sizing, and fail-safes before sending orders. For testing, I would implement a replay/backtesting module that feeds historical market data through the same decision pipeline to validate behavior before any live deployment. All trades and decisions would be logged for auditability and debugging. I have experience working with Python-based automation systems, API integrations, and building structured data pipelines with real-time processing constraints. I focus on keeping systems stable, modular, and safe for execution in production environments. Best regards,

@craigd43

Having gone through the project description, I am confident I am the perfect fit for your Claude AI Trading Bot Guide. With my versatile skill set encompassing Python, REST API integration, and extensive experience in financial and trading systems, I'm well-equipped to help you integrate Claude AI into live trading on Binance, Zerodha, and Hyper Liquid. Throughout my career, I have not only been hands-on with financial APIs and data streaming but also with building robust and efficient systems capable of real-time trading. This is evidenced by my strong background in PHP, Node.js and C# programming which are languages commonly used in high frequency and algorithmic trading environments. Going further, my proficiency in system design ensures that security measures will be properly implemented to handle secure key handling as well as rate-limit management. As you mentioned the importance of delivering high-quality code within strict deadlines; these have always been the cornerstones of my work ethic. You can trust that my approach to this project will be practical, efficient and focused on your specific needs. Let us take your Claude AI bot from a great idea to a fully functional reality this weekend!

@toqeer74

Achieving seamless integration of Claude AI with Binance, Zerodha, and Hyper Liquid necessitates a meticulous approach to authenticated REST/WebSocket connections and secure key handling. Your guide will provide clear, executable code for each exchange's testnet, demonstrating the complete order process, including confirmation and logging. I will ensure that the prompt design incorporates real-time data for accurate trading decisions, while also implementing rate-limit management and error handling to maintain bot reliability. The initial deliverable will be ready in 7 days after we start. When can we start? I can have something to show you within 24 hours.

@rakeshk322

Hello, I can create a practical, weekend-ready guide and framework for integrating Claude AI with Binance, Zerodha, and Hyperliquid for automated trading workflows. I have experience with exchange APIs, real-time market data handling, AI-assisted decision systems, WebSocket integrations, and automated order execution using Python. A few questions before we proceed: Which Claude model/API version are you planning to use? Should the framework support paper trading alongside testnet mode? Do you already have API access enabled for all three exchanges and environments?

@aae53

Yo, this is easy money.\n\nI've built trading bots before — Python + exchange APIs (Binance included) is my bread and butter. Claude API integration? Done it. REST/WebSocket connections? Done it a hundred times.\n\nHere's the deal:\n- Full walkthrough: exchange auth, prompt design, trigger logic, order execution\n- Working sample code that connects to testnet and places dummy orders\n- Markdown guide + runnable Python scripts — ready this weekend\n- €20. Fair price for something that actually works.\n\nHit me up if you wanna get this done.

@vijaydogra03

Hello Client, I can build a practical Claude-powered trading framework for Binance, Zerodha, and HyperLiquid with live/testnet execution, WebSocket market feeds, automated triggers, and risk-managed order handling. What I’ll deliver: Secure multi-exchange integration (REST + WebSocket) Claude AI decision engine with structured prompts & context memory Automated buy/sell trigger system Fast market/limit order execution with logging Risk controls, retry handling, and rate-limit protection Lightweight backtesting module for replay testing Ubuntu 22.04 setup guide with .env configuration Runnable sample code for all 3 exchanges including dummy/testnet orders returning order IDs Tech stack: Python (asyncio, ccxt/websockets, FastAPI optional) Anthropic Claude API Binance Testnet + Zerodha Kite + HyperLiquid APIs I can keep the framework lightweight, production-oriented, and ready to run this weekend.