Algorithmic Trading 10 free & low cost courses with certificates

2. Trading Algorithms (Coursera)
5. Algorithms, Part I (Coursera)

The term algorithmic trading is often used synonymously with automated trading system. These encompass a variety of trading strategies, some of which are based on formulas and results from mathematical finance, and often rely on specialized software.Algorithmic trading is mainly used by institutional investors and big brokerage houses to cut down on costs associated with trading.

Algorithmic trading also allows for faster and easier execution of orders, making it attractive for exchanges.


Best Algorithmic Trading online courses with certificates, trainings, Tutorial programs - Algorithmic Trading

1. Algorithmic Trading In Forex: Create Your First Forex Robot! (Udemy).

★ 4.8 Rating (3,323+ ratings) | 22,241+ students | 6.5 hours to complete | Earn a Certificate upon completion | 3 articles | Full lifetime access | 30-Day Money-Back Guarantee.

Learn to program in MQL4 and develop, test, and optimize your own algorithmic trading systems. This course assumes no prior programming or Forex knowledge, just a desire to learn and be successfulIn the first section of this course we will install MetaTrader 4, open a free demo account, and learn the essential theory behind algorithmic trading. The second section focuses on fundamentals of programming. Even if you have never programmed before, this part of the course will quickly bring you up to speed. Moreover, MQL4 is a C-based programming language and everything you learn in this section will also be applicable in languages like C / C++ / C# / Java / etc. Section three introduces trading system design and gradually blends it with the programming knowledge you developed in section two. Here you will learn how to open your first order through a program also created by you, and how to then work with that order to modify or close it at your discretion.

In this 'Algorithmic Trading In Forex: Create Your First Forex Robot' course you will learn:

Finally, everything is put together in the fourth section of the course, where we will come up with a unique trading strategy idea and turn it into a holistic Algorithmic Trading system. Also, I will briefly show you how to test and optimize your Forex Robot in the MetaTrader 4 strategy tester.Enrol today and kick-start your Algorithmic Trading journey!



2. Algorithmic Trading & Quantitative Analysis Using Python (Udemy).

★ 4.6 Rating (2,574+ ratings) | 20,093+ students | 18.5 hours to complete | Earn a Certificate upon completion | 5 articles | 14 downloadable resources | Full lifetime access | 30-Day Money-Back Guarantee.

Build a fully automated trading bot on a shoestring budget. Learn quantitative analysis of financial data using python. Automate steps like extracting data, performing technical and fundamental analysis, generating signals, backtesting, API integration etc. You will learn how to code and back test trading strategies using python. The course will also give an introduction to relevant python libraries required to perform quantitative analysis. The USP of this course is delving into API trading and familiarizing students with how to fully automate their trading strategies.

In this 'Algorithmic Trading & Quantitative Analysis Using Python' course you will learn:

This course is for traders looking to automate strategies and building automated trading stations, data scientists seeking to work with financial data, anyone curious about quantitative analysis.



3. Algorithmic Trading & Time Series Analysis in Python and R (Udemy).

★ 4.5 Rating (257+ ratings) | 3,317+ students | 17.5 hours to complete | Earn a Certificate upon completion | 27 articles | Full lifetime access | 30-Day Money-Back Guarantee.

This course is about the fundamental basics of algorithmic trading. First of all you will learn about stocks, bonds and the fundamental basic of stock market and the FOREX. The main reason of this course is to get a better understanding of mathematical models concerning algorithmic trading and finance in the main.We will use Python and R as programming languages during the lectures

In this 'Algorithmic Trading & Time Series Analysis in Python and R' course you will learn:



4. Trading Algorithms (Coursera).

★ 4.6 Rating (989+ ratings) | 40,412+ students | Approx. 12 hours to complete | Earn a Certificate upon completion. | Intermediate Level | Flexible deadlines | Offered By : ISB.

This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company. In the first part of the course, you will learn how to read an academic paper. What parts to pay attention to and what parts to skim through will be discussed here. For every strategy, first you will be introduced to the original research and then how to implement the strategy.The first strategy, Piotroski F -score will be discussed in detail. You will be taught how to calculate the F - Score and how to use this score in a strategy. This is followed by the next strategy, Post earnings announcement drift (PEAD).

In this 'Trading Algorithms' course you will learn:

A very good course for beginners as well as someone with intermediate knowledge in marketing. Thoroughly explained and brilliant, sensible questions providing insight to the course.



5. Algorithms, Part I (Coursera).

★ 4.9 Rating (8,782+ ratings) | 869,040+ students | Approx. 54 hours to complete | Earn a Certificate upon completion | Intermediate Level | Flexible deadlines | Offered By: Princeton University.

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.All the features of this course are available for free. It does not offer a certificate upon completion.

In this 'Algorithms, Part I' course you will learn:

The course focuses on Java specific implementations of algorithms, so if you're not from a Java background, you would have a little difficulty with the assignments.The course content however is great.



6. Advanced Trading Algorithms (Coursera).

★ 4.6 Rating (492+ ratings) | 492+ students | Approx. 11 hours to complete | Earn a Certificate upon completion | Intermediate Level | Flexible deadlines.

This course will provide back test results for all the strategies in developed and emerging markets. The learner will also be taught scientific ways of back testing without succumbing to either look ahead (or) survival bias.You will learn various methods of building a robust back testing system for the strategies discussed in the previous course. You will be taught how to differentiate between mere data mining and results based on solid empirical or theoretical foundation. Next, you will learn the ways and means of back testing the results and subjecting the back test results to stress tests. After which, you will learn the various ways in which transaction costs and other frictions could be incorporated in the back testing algorithm. Finally, you will learn techniques for measuring a strategies' performance and the concept of risk adjusted return. You will use some of the famous measures for risk adjusted returns such as Sharpe ratio, Treynor's Ratio and Jenson's Alpha. You will see how to pick an appropriate benchmark for a proposed fund.

In this 'Advanced Trading Algorithms' course you will learn:

Wonderful course for those who do not have any academic background of finance and are interested in learning trading strategies through research papers.



7. Algorithmic Trading Using Python - Full Course (Youtube).

(30k+ likes) | 949,672+ views | 4 hours and 30 minutes to complete.

Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions. Computer algorithms can make trades at a speed and frequency that is not possible by a human.After learning the basics of algorithmic trading, you will learn how to build three algorithmic trading projects.

Course content:

Note that this course is meant for educational purposes only. The data and information presented in this video is not investment advice. One benefit of this course is that you get access to unlimited scrambled test data (rather than live production data), so that you can experiment as much as you want without risking any money or paying any fees.This course is original content created by freeCodeCamp. This content was created using data and a grant provided by IEX Cloud. You can learn more about IEX Cloud here: opinions or assertions contained herein do not represent the opinions or beliefs of IEX Cloud, its third-party data providers, or any of its affiliates or employees.



8. Introduction to algorithmic trading with Streak (Youtube).

(1.8k+ likes) | 140,458+ views | 1 hour and 14 minutes to complete.

Streak is trying to make trading easier for daily retail traders. From implementing trading ideas and strategies to validating strategies and monitoring multiple securities in the stock market. It is impossible to track stocks manually by staying chained to your desk. To overcome this, Streak provides the ability to monitor over 100 securities at a time, on the go.Applying trading strategies is a click away with Streak's new "ASSIST" feature. Anyone can now backtest trading strategies with a lookback of up to 5 years on different time frames and intervals.

In this 'Introduction to algorithmic trading with Streak' course you will learn:




Technology development across global markets has necessitated a multidimensional approach for understanding the Importance of Algorithmic Trading. This course encompasses trading in various asset classes with special focus on Equity Index Futures, Options, and Commodities

In this 'ALGORITHMIC TRADING MODULE' course you will learn:



10. Executive Programme in Algorithmic Trading - EPAT (QuantInsti).

World-Class Faculty | 6 months to complete | Dedicated Support | Project work opportunity | Scholarships and Financial Aid | Verified Certification | Lifetime access to latest course content.

EPAT is one of the best algo trading courses. Are you looking to get a new job, start your own trading desk, or get better opportunities in your current organization? This quantitative trading course is designed for professionals looking to grow in the field of algorithmic and quantitative trading.Get access to the most comprehensive quant trading curriculum in the industry. Learn from a world-class faculty pool. Experience personalised learning with best-in-class support. Complete specialisation in desired asset classes and trading strategy paradigms with live project mentorship.

In this 'Executive Programme in Algorithmic Trading - EPAT' course you will learn:

Although, the course duration is of six months, you get more time for self-study and prepare for the course if you enroll early.The enrollment for a batch starts around four months prior to the actual programme start date. As soon as you enroll successfully, you are provided with access to the student portal where you start with the primer content. You prepare on topics like Statistics, Econometrics, Options, Financial markets basics, Excel computation and Python programming.From the batch starting date till batch closing date, you will get a period of six months to attend lectures, complete assignments, tests, project work and take the final examination.



Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume.This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. It is widely used by investment banks, pension funds, mutual funds, and hedge funds that may need to spread out the execution of a larger order or perform trades too fast for human traders to react to. A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than humans.