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Trading Algorithms

Prasanna Tantri

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).

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What's inside

Syllabus

Module 1 - Introduction to Trading Strategies and Benchmarks

After completing this module you will be able to understand what market efficiency means. You will be able to list different types of market efficiencies.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on market efficiency, an essential concept in finance

Taught by Prasanna Tantri, an experienced investor and academic

Suitable for beginners looking to understand trading strategies

Covers F-Score and PEAD strategies from academic research

May require prior knowledge in finance or trading terminology

Limited to emerging markets, excluding developed markets

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Reviews summary

Introduction to research-based trading strategies

According to students, this course offers a unique focus on research-based trading strategies, specifically covering the Piotroski F-score and PEAD. Learners appreciate the module dedicated to reading academic papers, finding it a valuable skill. The course includes practical implementation, which many find helpful for applying concepts. However, some learners note that the material can be difficult without prior prerequisites in math, statistics, or coding. There are mixed opinions on the instructor's delivery, with some finding lectures dry or hard to follow. A few reviewers also expected more than just two strategies given the course title.

Useful module on academic papers

"The module on how to read academic papers was surprisingly useful; it demystifies them."

"I learned a lot from the segment on breaking down research papers."

"That section on reading papers alone was worth it for me."

Hands-on coding for strategies

"The coding exercises helped me see how to actually implement the F-score strategy..."

"Applying the PEAD strategy through the practical examples was very useful."

"I appreciated the hands-on part where we worked through the implementation details."

Strategies based on published research

"I found the focus on academic papers and research-backed strategies like F-score incredibly valuable..."

"Learning about the Piotroski F-score and PEAD from the original research perspective was a unique strength."

"It's great that the strategies taught here, like PEAD, are based on solid academic footing..."

Covers only two main strategies

"I expected more strategies than just F-score and PEAD based on the course title."

"While the two strategies are covered well, the course feels limited in scope."

"The course is good for what it covers, but I wish it included more trading algorithms."

Mixed views on instructor's delivery

"I found the lectures a bit dry and hard to stay engaged with at times."

"The instructor knows the material, but the delivery could be more dynamic."

"Some parts were explained very clearly, but others felt rushed or difficult to follow."

Challenging without prerequisites

"This course is quite challenging if you don't have a strong stats and coding background."

"I struggled a bit with the mathematical concepts presented."

"Make sure you have some programming skills before tackling this, it's not for absolute beginners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Trading Algorithms with these activities:

Review the course syllabus

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Review the course syllabus to better understand the different topics and expectations.

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Read through the course syllabus thoroughly.
Identify the key learning objectives for the course.
Take note of the required readings and assignments.

Refresh your knowledge of statistics and probability

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Reviewing statistics and probability will help you understand the behavior of financial markets and make better trading decisions.

Browse courses on Statistics

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Review your notes from a statistics and probability course.
Take a practice test or quiz to assess your knowledge.
Read a book or article on statistics and probability.

Read and summarize academic papers

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Reviewing books on trading strategies will help you understand the different approaches to trading and identify the ones that best suit your risk tolerance and investment goals.

View Financial Freedom with Super Trader EBOOK BUNDLE on Amazon

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Choose a book on trading strategies that interests you.
Read the book carefully, taking notes as you go.
Summarize the main points of the book in a short paper or presentation.

Six other activities

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Practice trading with a demo account

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Practicing trading with a demo account will help you refine your strategy and gain confidence in your trading skills.

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Open a demo account with a Forex broker.
Fund your demo account with virtual money.
Practice trading different currency pairs and strategies.
Keep a trading journal to track your progress.

Attend a trading workshop or seminar

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Attending a trading workshop or seminar will provide you with the opportunity to learn from experienced traders and network with other traders.

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Research different trading workshops and seminars.
Choose a workshop or seminar that interests you.
Register for the workshop or seminar.
Attend the workshop or seminar.

Form a study group with other traders

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Forming a study group with other traders will provide you with the opportunity to learn from others and share your own knowledge.

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Find other traders who are interested in forming a study group.
Choose a time and place to meet.
Develop a study plan.
Meet regularly to discuss trading strategies and market trends.

Create a collection of trading resources

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Creating a collection of trading resources will provide you with a valuable resource that you can use to learn about trading and develop your own strategies.

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Gather trading resources from different sources.
Organize the resources into a collection.
Share the collection with other traders.

Create a trading simulation

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Creating a trading simulation will allow you to test out different trading strategies in a risk-free environment and gain valuable experience.

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Choose a trading platform that offers a paper trading account.
Create a paper trading account and fund it with virtual money.
Develop a trading strategy.
Backtest your trading strategy on historical data.
Paper trade your strategy in the simulation account.

Participate in a trading competition

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Participating in a trading competition will allow you to test your skills against other traders and win prizes.

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Research different trading competitions.
Choose a competition that interests you.
Register for the competition.
Develop a trading strategy for the competition.
Trade in the competition.

Career center

Learners who complete Trading Algorithms will develop knowledge and skills that may be useful to these careers:

Trader

A Trader is responsible for buying and selling financial instruments for a financial institution or a hedge fund. This course may be useful for Traders who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Traders who want to develop and implement trading strategies that can generate profits in emerging markets.

See salaries and explore the career path for Trader

Quantitative Analyst

A Quantitative Analyst is responsible for developing and using mathematical and statistical models to analyze financial data and make investment decisions. This course may be useful for Quantitative Analysts who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Quantitative Analysts who want to develop and implement quantitative trading strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Quantitative Analyst

Risk Manager

A Risk Manager is responsible for identifying and managing risks to an organization's financial assets. This course may be useful for Risk Managers who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Risk Managers who want to develop and implement risk management strategies that can protect an organization's financial assets from losses in emerging markets.

See salaries and explore the career path for Risk Manager

Research Analyst

A Research Analyst is responsible for providing research and analysis on companies and industries to help investors make informed decisions about their portfolios. This course may be useful for Research Analysts who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Research Analysts who want to develop and implement research-driven investment strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Research Analyst

Portfolio Manager

A Portfolio Manager is responsible for managing and investing a portfolio of financial assets for clients. This course may be useful for Portfolio Managers who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Portfolio Managers who want to identify and implement strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Portfolio Manager

Private Equity Analyst

A Private Equity Analyst is responsible for evaluating and investing in private equity opportunities. This course may be useful for Private Equity Analysts who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Private Equity Analysts who want to develop and implement investment strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Private Equity Analyst

Venture Capitalist

A Venture Capitalist is responsible for investing in early-stage companies. This course may be useful for Venture Capitalists who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Venture Capitalists who want to develop and implement investment strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Venture Capitalist

Asset Manager

An Asset Manager is responsible for managing and investing a portfolio of financial assets for clients. This course may be useful for Asset Managers who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Asset Managers who want to develop and implement investment strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Asset Manager

Data Analyst

A Data Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This course may be useful for Data Analysts who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Data Analysts who want to develop and implement data-driven investment strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Data Analyst

Investment Analyst

An Investment Analyst is responsible for providing research and analysis on stocks, bonds, and other financial instruments to help investors make informed decisions about their portfolios. This course may be useful for Investment Analysts who want to learn more about trading strategies that work in emerging markets.

See salaries and explore the career path for Investment Analyst

Financial Advisor

A Financial Advisor is responsible for providing financial advice and guidance to clients. This course may be useful for Financial Advisors who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Financial Advisors who want to develop and implement investment strategies that can help their clients achieve their financial goals in emerging markets.

See salaries and explore the career path for Financial Advisor

Corporate Finance Analyst

A Corporate Finance Analyst is responsible for providing financial advice and services to corporations. This course may be useful for Corporate Finance Analysts who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Corporate Finance Analysts who want to develop and implement financial strategies that can help their clients achieve their financial goals in emerging markets.

See salaries and explore the career path for Corporate Finance Analyst

Financial Planner

A Financial Planner is responsible for providing financial advice and guidance to clients. This course may be useful for Financial Planners who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Financial Planners who want to develop and implement investment strategies that can help their clients achieve their financial goals in emerging markets.

See salaries and explore the career path for Financial Planner

Investment Banker

An Investment Banker is responsible for providing financial advice and services to corporations and governments. This course may be useful for Investment Bankers who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Investment Bankers who want to develop and implement financial strategies that can help their clients achieve their financial goals in emerging markets.

See salaries and explore the career path for Investment Banker

Insurance Analyst

An Insurance Analyst is responsible for evaluating and investing in insurance products. This course may be useful for Insurance Analysts who want to learn more about trading strategies that work in emerging markets. In particular, the course's discussion of the Piotroski F Score and Post Earnings Announcement Drift (PEAD) strategies could be helpful for Insurance Analysts who want to develop and implement investment strategies that can generate alpha in emerging markets.

See salaries and explore the career path for Insurance Analyst

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Trading Algorithms.

Quantitative Momentum

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Provides a more comprehensive look at quantitative value investing techniques. Providing more advanced techniques and strategies to select and construct a portfolio beyond the Piotroski F-score strategy.

Quantitative Momentum: A Practitioner's Guide to...

Hardcover

(Deutsch) Momentum-Strategien für Stockpicker: So finden Sie...

Trading Algorithms

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Introduction to research-based trading strategies

Activities

Career center

Reading list

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