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Book synopsis

Tired of trading manually while the market never sleeps? Do you dream of creating a system that trades for you 24 hours a day?
Algorithmic trading is no longer exclusive to large investment funds. With Python and this book, you too can build your own trading bots from scratch, even if you've never programmed before.
"Python for Algorithmic Trading" is a practical, step -by-step guide that will take you from your first line of code to a fully functional trading bot capable of:
Automatically analyze markets using real Yahoo data Finance
Generate buy and sell signals based on technical indicators (moving averages, RSI, etc.)
Execute operations in simulated mode ( paper trading) without risking real capital
Perform backtesting of strategies using historical data from years
Manage risk professionally with automatic stops and position control
Receive real-time alerts on your mobile via Telegram
Prepare for production deployment with logging and monitoring systems
What will you find in this book?
Chapters 1-2: Python Fundamentals Applied Specifically to Trading (Without Unnecessary Theory)
Chapter 3: Manipulating Financial Data with Pandas
Chapter 4: Professional Visualization of Japanese Candlestick Charts
: Connecting to broker APIs and downloading real data
Chapter 6: Building Your First Complete Trading Bot
Chapter 7: Backtesting and Strategy Optimization with VectorBT
Chapter 8: Professional risk management at the portfolio level
Chapter 9: Production readiness with alerts and logging system
Chapter 10: Task Automation and Beyond Trading
It includes free access to GitHub with all the book's code ready to download, run, and modify.
WARNING: This book is for educational purposes only. It does not constitute financial advice. Trading involves risks of capital loss. Always trade at your own risk.
Are you ready to make the leap from manual to automated trading? Your bot is waiting for you.

Book details

• Full title: PYTHON FOR ALGORITHMIC TRADING
• Author: TIRSO DIAZ DIAZ
• Language: English
• Binding: Paperback
• Number of pages: 216
• EAN: 9798185268254
• ID: 53200038
• Publisher: Independently published
• Weight: 269 g
• Dimensions: 229 × 152 × 14 mm
• Date of publishing: 02. July 2026

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