Build Your Own Crypto Trading Bot – Course Repository

Welcome to the private repository for the "Build Your Own Crypto Trading Bot – Hands-On Course with Alex" by QuantJourney.

This repository contains materials, templates, and code samples used during the 6 live sessions held in June 2025.

⚠️ This repository is for registered participants only.

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Content Overview

Session 1: Foundations & Data Structures

• Set up Python, IDE, and required libraries
• Pandas basics for financial time series
• Understanding OHLCV format
• Create your first crypto DataFrame with sample data

Session 2: Data Acquisition & Exchange Connectivity

• WebSocket basics for real-time crypto feeds (Binance focus)
• Fail-safe reconnection logic and error handling
• Logging basics for live systems
• Build tools: order flow scanner, liquidation monitor, funding rate tracker

Session 3: Data Processing & Technical Analysis

• API access using CCXT
• Handle rate limits and API error scenarios
• Reconnect & retry mechanisms
• Use pandas-ta to compute SMA, EMA, RSI
• Create your own indicator pipeline

Session 4: Strategy Development & Backtesting

• Overview of strategy types (trend, mean reversion)
• Backtesting with backtesting.py
• Compute Sharpe ratio, drawdown, profit factor
• Add position sizing, SL/TP, and walk-forward logic
• Adjust for fees, slippage, and latency

Session 5: Bot Architecture & Implementation

• Bot system design: event-driven vs loop-based
• Core components: order manager, position tracker, error handler
• Risk constraints: daily limits, max size
• Logging & monitoring structure
• Write the engine core for your bot

Session 6: Live Trading & Deployment

• API keys and secure credential handling
• Deployment targets: local, VPS, cloud (e.g., Hetzner)
• Running 24/7: restart logic, alerting
• Final bot launch + testing in production
• Send alerts via Telegram or email

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🤖 AI-Enhanced Trading

Bonus section:

• Use ChatGPT/Claude for strategy suggestions
• Integrate AI-based filters or signal generation
• Let LLMs help you refactor and extend your logic

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📁 Repository Structure

/Session_01/      # Foundations & DataFrame Handling
/Session_02/      # WebSockets & Real-Time Feed Tools
/Session_03/      # Indicators & Analysis
/Session_04/      # Backtesting + Strategy Logic
/Session_05/      # Trading Bot Core Engine
/Session_06/      # Live Deployment and Monitoring
/templates/     # Starter and final bot code
/utils/         # Helper scripts for logging, reconnection, etc.
README.md       # You are here

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🛠 Requirements

• Python 3.10+
• Install dependencies per session in each folder or via a top-level requirements.txt (provided)

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📫 Support

You can reach Alex directly at alex@quantjourney.pro for post-course support (1 week included).

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⚠️ Disclaimer

This project is for educational use only. No financial advice. Always trade with caution and use proper risk management.

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Happy coding – and trade smart.

QuantJourney Team