Algorithmic Trading: A Complete Guide to Building and Deploying Automated Trading Systems

This is a roadmap, not a code library. It takes about an hour to read, and it maps the whole path from "I want to automate my trading" to "I know exactly what to build, in what order, and why."

What's inside

• The three pillars every trading algorithm needs, and why most people only build one of them
• How to choose your stack, and specifically why TradingView, Alpaca and Python fit together
• The 2% rule and the position sizing formula, written out
• Daily loss limits, and the metrics that tell you when paper trading is actually finished
• Backtesting done honestly: the signs of overfitting, the walk-forward method, and the numbers that matter more than net profit
• Trading psychology, because the most common way an automated system fails is the human overriding it
• A 30-day action plan broken into weeks

What this is not

This book does not contain source code. There is no Pine Script to copy, no Flask server to paste, no finished dashboard. It tells you what to build and why each piece exists. It does not type it for you.

If you want a working bot handed to you, this is not that, and you will be annoyed. If you want to understand the whole system before you start writing it, this is exactly that.

If it is the code you want

The piece most people stall on is getting a signal from a chart to a broker exactly once. That part is built, tested and sold separately: The Alert-to-Broker Bridge, $9. Read this first if you want the map. Start there if you already know what you are building.