10最好的算法交易教程推荐

"This post includes affiliate links for which I may make a small commission at no extra cost to you should you make a purchase."

特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 算法交易 技能并获得 算法交易 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 算法交易 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的算法交易教程推荐

课程名 在校生（人数） 评论（计数）
1. Algorithmic Trading & Quantitative Analysis Using Python 我们的最佳选择 25151+ 3108+
2. Algorithmic Trading In Forex: Create Your First Forex Robot! 23760+ 3526+
3. “Algorithmic Trading A-Z with Python, Machine Learning & AWS” 17060+ 1468+
4. “Algorithmic Trading: Backtest, Optimize & Automate in Python” 16920+ 2403+
5. Forex Algorithmic Trading Course: Code a Forex Robot! 16152+ 3973+
6. Quantitative Finance & Algorithmic Trading in Python 10768+ 1201+
7. Python for Finance and Algorithmic Trading with QuantConnect 10116+ 921+
8. Algorithmic Trading on KiteConnect Platform 9576+ 1267+
9. Algorithmic Cryptocurrency Trading + Top 5 Robots in 2022 6293+ 623+
10. Algorithmic Trading using Interactive Broker’s Python API 6021+ 902+

1. Algorithmic Trading & Quantitative Analysis Using Python 经过 Mayank Rasu Udemy课程 我们的最佳选择

Build fully automated trading system and Implement quantitative trading strategies using Python

截至目前，超过 25151+ 人们已经注册了这门课程，而且已经结束了 3108+ 评论.

课程内容
Introduction
Getting Data
Web Scraping to Extract Financial Data
Basic Data Handling and Operations
Technical Indicators
Performance Measurement – KPIs
Backtest Your Strategies
Value Investing
Building Automated Trading System on a Shoestring Budget
Bonus Section: Running Your Algorithms in Cloud
Bonus Section: Sentiment Analysis
Archived Lectures

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

2. Algorithmic Trading In Forex: Create Your First Forex Robot! 经过 “Kirill Eremenko, ForexBoat Team” Udemy课程

Trading With Forex Robots: Learn MQL4 Programming By Doing! Create Your First Algorithmic Trading System in MetaTrader 4

截至目前，超过 23760+ 人们已经注册了这门课程，而且已经结束了 3526+ 评论.

课程内容
Introduction
Programming Core MQL4
System design and trading functions
Putting it all together
Course summary

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

3. “Algorithmic Trading A-Z with Python, Machine Learning & AWS” 经过 Alexander Hagmann Udemy课程

“Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.”

截至目前，超过 17060+ 人们已经注册了这门课程，而且已经结束了 1468+ 评论.

课程内容
“Getting Started
+++ PART 1: Day Trading, Online Brokers and APIs +++
Day Trading with OANDA A-Z: a Deep Dive
FOREX Day Trading with FXCM
Installing Python and Jupyter Notebooks
Excursus: How to avoid and debug Coding Errors (don´t skip!)
Trading with Python and OANDA/FXCM – an Introduction
Conclusion and Outlook
+++ PART 2: Pandas for Financial Data Analysis and Introduction to OOP +++
Introduction to Time Series Data in Pandas
Financial Data Analysis with Pandas – an Introduction
Advanced Topics
Object Oriented Programming (OOP): Creating a Financial Analysis Class
+++ PART 3: Defining and Testing Trading Strategies +++
Defining and Backtesting SMA Strategies
Defining and Backtesting simple Momentum/Contrarian Strategies
Defining and Backtesting Mean-Reversion Strategies (Bollinger)
Trading Strategies powered by Machine Learning – Regression
Trading Strategies powered by Machine Learning – Classification
Advanced Backtesting Techniques
+++ PART 4: Real-time Implementation and Automation of Strategies +++
Implementation and Automation with OANDA (UPDATED!)
Implementation and Automation with FXCM (Updated!)
Cloud Deployment (AWS) | Scheduling Trading Sessions | Full Automation
+++ PART 5: Expert Tips & Tricks, Case Studies and more +++
Trading Hours, Spreads and Granularity – control and limit Trading Costs!
Working with two or many Strategies (Combination)
A Machine Learning-powered Strategy A-Z (DNN)
Error Handling: How to make your Trading Bot more stable and reliable
+++ APPENDIX: Python Crash Course +++
Appendix 1: Python (& Finance) Basics
Appendix 2: User-defined Functions (required for OOP)
Appendix 3: Numpy, Pandas, Matplotlib and Seaborn Crash Course
What´s next? (outlook and additional resources)”

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

4. “Algorithmic Trading: Backtest, Optimize & Automate in Python” 经过 “Mohsen Hassan, Ilyass Tabiai, bloom team” Udemy课程

Learn How to Use and Manipulate Open Source Code in Python so You can Fully Automate a Cryptocurrency Trading Strategy.

截至目前，超过 16920+ 人们已经注册了这门课程，而且已经结束了 2403+ 评论.

课程内容
“Welcome: Your Instructors, Course Content and the End Product
About Algorithmic Trading
Installations
Virtual Machine: Linux Environment
Python Primer
Installing Freqtrade
Configure And Run
Strategy Implementation
In Sample And Out Of Sample Testing
Assignment
Updates
Thank you
Bonus Lecture”

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

5. Forex Algorithmic Trading Course: Code a Forex Robot! 经过 “Mohsen Hassan, bloom team” Udemy课程

Build a Completely Automated Trading Robot (Expert Advisor) from scratch using MQL4 (MetaQuotes Language 4)!

截至目前，超过 16152+ 人们已经注册了这门课程，而且已经结束了 3973+ 评论.

课程内容
“Introduction
MetaQuotes and Expert Advisors
Programming Basics
Control Flow (Conditional Operators)
Functions, Preprocessor & Storage Classes
Arrays & For Loops
MQL4 Technical Indicators
Order Execution Functions
Risk Management
Expert Advisor
Backtesting
Coding Our Trading Strategy
Bonus Lecture”

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

6. Quantitative Finance & Algorithmic Trading in Python 经过 Holczer Balazs Udemy课程

“Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations”

截至目前，超过 10768+ 人们已经注册了这门课程，而且已经结束了 1201+ 评论.

课程内容
Introduction
Environment Setup
Stock Market Basics
Bonds Theory
Bonds Implementation
Modern Portfolio Theory (Markowitz-Model)
Markowitz-Model Implementation
Capital Asset Pricing Model (CAPM) Theory
Capital Asset Pricing Model (CAPM) Implementation
Derivatives Basics
Random Behavior in Finance
Black-Scholes Model
Black-Scholes Model Implementation
Value at Risk (VaR)
Collateralized Debt Obligations (CDOs) and the Financial Crisis
Interest Rate Modeling (Vasicek Model)
Pricing Bonds with Vasicek Model
Long-Term Investing
NEXT STEPS
APPENDIX – PYTHON PROGRAMMING CRASH COURSE
Appendix #1 – Python Basics
Appendix #2 – Functions
Appendix #3 – Data Structures in Python
Appendix #4 – Object Oriented Programming (OOP)
Appendix #5 – NumPy
Course Materials (DOWNLOADS)

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

7. Python for Finance and Algorithmic Trading with QuantConnect 经过 Jose Portilla Udemy课程

“Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading”

截至目前，超过 10116+ 人们已经注册了这门课程，而且已经结束了 921+ 评论.

课程内容
“Course Welcome and Overview
Python Crash Course
NumPy
Core Pandas
Matplotlib
Pandas and Finance
Financial Concepts with Python
Stock Market Analysis Capstone Project
Algorithmic Trading Basics with QuantConnect
QuantConnect Research, Plotting, Universe Selection
Derivative Contracts”

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

8. Algorithmic Trading on KiteConnect Platform 经过 Mayank Rasu Udemy课程

Implement algorithmic trading strategies on KiteConnect platform

截至目前，超过 9576+ 人们已经注册了这门课程，而且已经结束了 1267+ 评论.

课程内容
Introduction to Zerodha Kiteconnect
Setting up Trading App and Establishing Connection
Key API Calls
Coding Technical Indicators
Price Action Concepts
Building a Candlestick Pattern Scanner
Designing & Deploying Strategy on Zerodha Platform
Handling Streaming Tick Data
Streaming Tick Data Based Strategies
Deploying Strategies on Cloud

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

9. Algorithmic Cryptocurrency Trading + Top 5 Robots in 2022 经过 Petko Zhivkov Aleksandrov Udemy课程

Learn the Top 5 Strategies for Algorithmic Cryptocurrency Trading in 2021 + 5 Robots Included

截至目前，超过 6293+ 人们已经注册了这门课程，而且已经结束了 623+ 评论.

课程内容
Introduction
Section For The Beginner Traders
The Trading Strategies
Automated Trading With The Same Strategies
Results From The Trading
Conclusion

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

10. Algorithmic Trading using Interactive Broker’s Python API 经过 “Mayank Rasu, RASUQUANT LTD” Udemy课程

Implement algorithmic trading strategies on Interactive Broker’s platform

截至目前，超过 6021+ 人们已经注册了这门课程，而且已经结束了 902+ 评论.

课程内容
Introduction to Interactive Brokers & its API
Advanced Python Concepts
Understanding IB API Python Wrapper
Historical Data
Order Management
Other Important API Calls
Technical Indicators in IB
Backtesting Strategies
Designing & Deploying Strategies on IB
Streaming Market Data
Extracting Fundamental Data

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

下面是一些关于学习的常见问题算法交易

学习算法交易需要多长时间？

“学习算法交易需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 算法交易 是为了什么？你的出发点在哪里？您是初学者还是有使用 算法交易 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 算法交易.

算法交易 学起来容易还是难？

不，学习 算法交易 对大多数人来说并不难。检查这个 关于如何学习的课程 算法交易 立刻！

如何快速学习算法交易？

学习 算法交易 最快的方法是先得到这个 算法交易 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 算法交易？

如果您想探索和学习 算法交易，那么 Udemy 为您提供了学习 算法交易 的最佳平台。查看此 关于如何学习的课程 算法交易 立刻！