THE TRADING BIBLE: Algorithmic
From strategy to bot: how to design, test and automate trading systems with Python, MetaTrader and Artificial Intelligence
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Do you want to turn your trading strategies into automated systems, but don’t know where to start? Are you interested in trading bots, Python, MetaTrader, and Artificial Intelligence, but worried that programming may be too complex?
The Bible of Algorithmic Trading is a complete and practical guide that takes you step by step from a simple trading idea to the creation of a real algorithmic trading system.
Written by Dr. Vincenzo Petrarca, trader, educator, and founder of Scuola di Trading, this book does not promise miracle robots or automatic profits. Its goal is far more practical: to teach you how to think like a trading system designer.
Starting from the fundamentals, you will learn how to turn an idea into precise rules, translate those rules into code, test them on historical data, assess their robustness, and prepare them for real-market conditions. The journey uses tools such as Python, MetaTrader 5, MQL5, TradingView, Pine Script, and Artificial Intelligence.
What you will find in this book:
Foundations of Algorithmic Trading: how automated systems really work, including their advantages and limitations.
From Idea to Strategy: transform insights and discretionary trading strategies into objective, programmable rules.
Building Your First Trading Bot: take your first steps with Python, MetaTrader 5, MQL5, and Pine Script.
Backtesting and Validation: learn how to test a strategy while avoiding mistakes, biases, and misleading results.
Overfitting, Out-of-Sample Testing, and Walk-Forward Analysis: discover whether a strategy is truly robust.
Monte Carlo and Stress Testing: evaluate how your system may behave under difficult market conditions.
Risk Management and Position Sizing: control drawdown, risk per trade, and overall exposure.
From Backtest to Live Trading: move gradually from the laboratory to paper trading and then to live trading.
Portfolio of Systems: combine multiple strategies to reduce dependence on a single approach.
Artificial Intelligence Applied to Trading: use AI to develop code, analyze strategies, identify errors, and interpret reports.
The PETRARCA Method: a structured framework for designing, testing, building, monitoring, and adapting a trading system over time.
Final Project: build a trading bot from scratch by applying everything you have learned.
Why is this book different?
Because it does not simply teach you how to use a bot: it teaches you how to understand it, build it, test it, and evaluate it.
An algorithm does not automatically turn a mediocre strategy into a winning one. A positive backtest does not guarantee future results. That is why this book places strong emphasis on robustness, statistics, risk management, and result validation.
You will learn to ask yourself not only:
“How much can this strategy make?”
but also:
“How robust is it?”
“How much am I risking?”
“Does it work out of sample?”
“What happens if the market changes?”
Don’t know how to code? That’s not a problem.
This book has also been designed for complete beginners. Programming is only a tool: the real skill lies in describing precisely what you want the system to do and in being able to critically evaluate the results.
From strategy to bot. From bot to system. From system to process.
If you want to enter the world of algorithmic trading with a serious, structured, and professional approach, The Bible of Algorithmic Trading can become your operational manual.
Start your journey today and go from being a trader to becoming a true trading system designer.