Binance Futures Trading with Python | Build a Market Maker

Unlock the power of automated trading with Binance Futures and Python. Maximize profits with tech & expertise in trading

4.65 (122 reviews)

Udemy

platform

English

language

Cryptocurrency & Blockch

What you will learn

Instaling Pyhon and Setting up the IDE (PyCharm)

Learn the Fundamentals of Python (Variables and Data Types, Operators, For Loops, While Loops, Objects and Classes etc )

Data Analysis With Pandas Library in Python

Introduction to Binance Futures Testnet

Fundamentals of Algorithmic Trading

Fundamentals of Binance Futures Algorithmic Trading with Python

Connecting Binance with Python Using Python-Binance Library and Placing Different Types of Orders

Calculating Profit, Market Deviation, Quantity ect with Python and Pandas

Building Market Making Strategy Using Psudo Code and Converting into Python Code

Creating Multiple Trading Bots Using Classes and Objects and Run Them Parallelly with Multi Processing

Selecting Suitable Market Conditions for Market Making Strategy

Course Gallery

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Binance Futures Trading with Python | Build a Market Maker – Screenshot 4 — Screenshot 4 – Binance Futures Trading with Python | Build a Market Maker

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Comidoc Review

Our Verdict

This Binance Futures Trading with Python course stands out as a gem in the world of cryptocurrency trading education, specifically tailored for aspiring market makers. Though it could benefit from longer content and more emphasis on risk management strategies, its hands-on approach and meticulously curated content make it an excellent resource for gaining valuable insights into trading on the Binance Futures platform with Python.

What We Liked

The course offers a comprehensive guide on using Python to create market-making strategies on the Binance Futures platform, making it an invaluable investment for those wanting to take their crypto trading to the next level.
It covers everything from the basics of futures trading to advanced strategies and risk management, ensuring both beginners and experienced traders can grasp the fundamentals and more.
The course features practical examples, hands-on exercises, and multiple guides, which enhance the learning experience and solidify understanding of complex concepts.
Course content is meticulously curated and structured impeccably, offering a well-rounded education for traders of all levels, from foundational concepts to market dynamics, risk mitigation strategies, and backtesting.

Potential Drawbacks

Some users might find the course length (2.5 hours) relatively short, leaving them wanting more in-depth coverage of certain topics or a deeper dive into risk management strategies.
Given that market conditions constantly change, backtesting results may not always translate to real-world profitability, meaning students must stay informed on current trends and adapt their strategies accordingly.
As the course focuses primarily on Binance Futures and Python, users interested in learning about other trading platforms or programming languages might need to seek additional resources for a more comprehensive education.
Python, while popular and versatile, has its limitations. Students solely focused on using different programming languages for algorithmic trading or market-making strategies may find this course too specialized.