Algorithmic_trading_book

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algorithmic_trading_book is an Open Source research and education tool that provides two books and related source codes for algorithmic trading. It offers resources for both successful and advanced algorithmic trading strategies.

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At a glance

Pricing

Open Source · Free

Free tier

Yes

API

Skill level

Technical

About

What is algorithmic_trading_book?

algorithmic_trading_book is a GitHub repository offering comprehensive resources for individuals interested in algorithmic trading. It includes two distinct books: 'Successful Algorithmic Trading' and 'Advanced Algorithmic Trading'. Each book is provided in PDF format and is accompanied by its corresponding source code, allowing users to study the theoretical concepts and immediately apply them through practical examples. The repository is designed to support learning and implementation of various algorithmic trading strategies, catering to both beginners looking to understand the fundamentals and more experienced traders seeking advanced techniques. All materials are open source, making them freely accessible for educational and development purposes.

Best used for

Ideal for individuals who need to learn the principles of algorithmic trading, study practical code examples, and implement their own trading strategies. Especially valuable for those seeking free, open-source educational materials in both foundational and advanced algorithmic trading.

Common actions

learn algorithmic trading

study trading strategies

access trading code

github copilot"AI Agents"open-sourcedeepfakelow-code/no-codeworkflowsface swappingautomated workflowcollaboration

Capabilities

Key features

Algorithmic trading books
Source code examples
Successful trading strategies
Advanced trading techniques
PDF format

Target Audience

algorithmic tradersdevelopersquantitative analysts

Integrations

Not yet documented

Pricing & Plans

Open Source · Free

Free

FAQs

What kind of content is included in the algorithmic_trading_book repository?

The repository contains two full books, 'Successful Algorithmic Trading' and 'Advanced Algorithmic Trading', both in PDF format. Each book is accompanied by its related source code, providing practical examples to complement the theoretical knowledge.

Is the source code provided in the repository ready to be used for live trading?

The source code is provided for educational and illustrative purposes, demonstrating algorithmic trading concepts. While it can be adapted, users should exercise caution and conduct thorough testing before using any code for live trading environments.

What programming languages are used in the source code examples?

Based on the repository's language breakdown, the source code examples are primarily written in Python (90.5%) and R (9.5%). This offers a good foundation for users familiar with these popular data science and financial programming languages.

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Subcategories trending in Research & Education

Academic Research Study Assistants Knowledge Management Scientific Computing Summarization Language Learning

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Coding & Development › Open Source & Models

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