Python Quantitative Finance Course: Free Udemy Coupon

Python Quantitative Finance Course: Free Udemy Coupon - Feature Image

COURSE AUTHOR –
Raj Chhabria

Last Updated on November 5, 2023 by GeeksGod

Course : Quantitative Finance with Python

Free Udemy Coupon: Python Quantitative Finance

Interested in a lucrative and rewarding position in quantitative finance? Are you a professional working in finance or an individual working in Data Science and want to bridge the gap between Finance and Data Science and become a full-on quant?

The role of a quantitative analyst in an investment bank, hedge fund, or financial company is an attractive career option for many quantitatively skilled professionals working in finance or other fields like data science, technology, or engineering. If this describes you, what you need to move to the next level is a gateway to the quantitative finance knowledge required for this role that builds on the technical foundations you have already mastered.

Become a Master of Quantitative Finance

This course is designed to be exactly such a gateway into the quant world. If you succeed in this course, you will become a master of quantitative finance and financial engineering. This course covers a variety of topics including:

1. Stock Markets

Understanding the functioning of stock markets is essential for any quantitative analyst. Gain in-depth knowledge of how stock markets operate and the various factors that influence stock prices.

2. Commodity Market

Explore the world of commodity trading and learn how to analyze and predict the price movements of commodities.

3. Forex Trading

Master the art of forex trading by understanding the intricacies of currency exchange rates and the factors affecting them.

4. Cryptocurrency

Stay ahead of the game by learning about the booming field of cryptocurrency trading and the underlying blockchain technology.

5. Technical Analysis

Discover the power of technical analysis in predicting stock price movements by analyzing historical market data and chart patterns.

6. Financial Derivatives

Dive deep into the world of financial derivatives and learn about options, futures, and other complex financial instruments.

7. Time Value of Money

Understand the concept of time value of money and its importance in financial decision-making.

8. Modern Portfolio Theory

Learn how to build an efficient investment portfolio using the principles of modern portfolio theory.

9. Efficient Market Hypothesis

Explore the efficient market hypothesis and its implications for investment strategies.

10. Stock Price Prediction using Machine Learning

Utilize machine learning algorithms to predict stock prices and make informed investment decisions.

11. Stock Price Prediction using LSTM Neural Networks (Deep Learning)

Take your stock price prediction skills to the next level by applying deep learning techniques using LSTM neural networks.

12. Gold Price Prediction using Machine Learning

Learn how to predict the price movements of gold using machine learning algorithms.

13. Develop and Backtest Trading Strategies in Python

Gain hands-on experience in developing and backtesting trading strategies using Python.

14. Technical Indicators like Moving Averages and RSI

Learn about popular technical indicators like moving averages and relative strength index (RSI) and how to use them in your trading strategies.

15. Algorithmic Trading

Discover the world of algorithmic trading and learn how to automate your trading strategies using programming.

16. Advanced Trading Methodologies like Arbitrage and Pair Trading

Explore advanced trading methodologies such as arbitrage and pair trading to capitalize on market inefficiencies.

17. Random Walk Theory

Understand the concept of random walk theory and its implications for stock price movements.

18. Capital Asset Pricing Model

Learn about the capital asset pricing model (CAPM) and its significance in determining the expected return of an investment.

19. Sharpe Ratio

Discover how to measure the risk-adjusted performance of an investment using the Sharpe ratio.

20. Python for Finance

Master the Python programming language and its applications in the field of finance.

21. Correlation between different stocks and asset classes

Understand the concept of correlation and its importance in portfolio diversification and risk management.

22. Candle Stick Charts

Learn how to interpret candlestick charts and use them to make trading decisions.

23. Working with Financial and OHLC Data for stocks

Get hands-on experience in working with financial and Open-High-Low-Close (OHLC) data for stocks.

24. Optimal Position Sizing using Kelly Criterion

Discover the Kelly criterion and how it can be used to determine the optimal position size for a trade.

25. Diversification and Risk Management

Learn the importance of diversification and effective risk management strategies in investment portfolios.

If you are looking to enhance your career prospects in quantitative finance, this course is the perfect choice. By mastering the concepts and techniques covered in this course, you will be equipped with the knowledge and skills to excel in the field of quantitative finance.

Don’t miss out on this opportunity to learn from industry experts and take your career to new heights. Enroll in this course today and get started on your journey to becoming an ace quantitative analyst!

Free Udemy Coupon: Python Quantitative Finance

Interested in a lucrative and rewarding position in quantitative finance? Are you a professional working in finance or an individual working in Data Science and want to bridge the gap between Finance and Data Science and become a full-on quant?

The role of a quantitative analyst in an investment bank, hedge fund, or financial company is an attractive career option for many quantitatively skilled professionals working in finance or other fields like data science, technology, or engineering. If this describes you, what you need to move to the next level is a gateway to the quantitative finance knowledge required for this role that builds on the technical foundations you have already mastered.

Become a Master of Quantitative Finance

This course is designed to be exactly such a gateway into the quant world. If you succeed in this course, you will become a master of quantitative finance and financial engineering. This course covers a variety of topics including:

1. Stock Markets

Understanding the functioning of stock markets is essential for any quantitative analyst. Gain in-depth knowledge of how stock markets operate and the various factors that influence stock prices.

2. Commodity Market

Explore the world of commodity trading and learn how to analyze and predict the price movements of commodities.

3. Forex Trading

Master the art of forex trading by understanding the intricacies of currency exchange rates and the factors affecting them.

4. Cryptocurrency

Stay ahead of the game by learning about the booming field of cryptocurrency trading and the underlying blockchain technology.

5. Technical Analysis

Discover the power of technical analysis in predicting stock price movements by analyzing historical market data and chart patterns.

6. Financial Derivatives

Dive deep into the world of financial derivatives and learn about options, futures, and other complex financial instruments.

7. Time Value of Money

Understand the concept of time value of money and its importance in financial decision-making.

8. Modern Portfolio Theory

Learn how to build an efficient investment portfolio using the principles of modern portfolio theory.

9. Efficient Market Hypothesis

Explore the efficient market hypothesis and its implications for investment strategies.

10. Stock Price Prediction using Machine Learning

Utilize machine learning algorithms to predict stock prices and make informed investment decisions.

11. Stock Price Prediction using LSTM Neural Networks (Deep Learning)

Take your stock price prediction skills to the next level by applying deep learning techniques using LSTM neural networks.

12. Gold Price Prediction using Machine Learning

Learn how to predict the price movements of gold using machine learning algorithms.

13. Develop and Backtest Trading Strategies in Python

Gain hands-on experience in developing and backtesting trading strategies using Python.

14. Technical Indicators like Moving Averages and RSI

Learn about popular technical indicators like moving averages and relative strength index (RSI) and how to use them in your trading strategies.

15. Algorithmic Trading

Discover the world of algorithmic trading and learn how to automate your trading strategies using programming.

16. Advanced Trading Methodologies like Arbitrage and Pair Trading

Explore advanced trading methodologies such as arbitrage and pair trading to capitalize on market inefficiencies.

17. Random Walk Theory

Understand the concept of random walk theory and its implications for stock price movements.

18. Capital Asset Pricing Model

Learn about the capital asset pricing model (CAPM) and its significance in determining the expected return of an investment.

19. Sharpe Ratio

Discover how to measure the risk-adjusted performance of an investment using the Sharpe ratio.

20. Python for Finance

Master the Python programming language and its applications in the field of finance.

21. Correlation between different stocks and asset classes

Understand the concept of correlation and its importance in portfolio diversification and risk management.

22. Candle Stick Charts

Learn how to interpret candlestick charts and use them to make trading decisions.

23. Working with Financial and OHLC Data for stocks

Get hands-on experience in working with financial and Open-High-Low-Close (OHLC) data for stocks.

24. Optimal Position Sizing using Kelly Criterion

Discover the Kelly criterion and how it can be used to determine the optimal position size for a trade.

25. Diversification and Risk Management

Learn the importance of diversification and effective risk management strategies in investment portfolios.

If you are looking to enhance your career prospects in quantitative finance, this course is the perfect choice. By mastering the concepts and techniques covered in this course, you will be equipped with the knowledge and skills to excel in the field of quantitative finance.

Don’t miss out on this opportunity to learn from industry experts and take your career to new heights. Enroll in this course today and get started on your journey to becoming an ace quantitative analyst!

Udemy Coupon :

FE50FF78F8B6D5868EF6

What you will learn :

1. Develop a solid understanding about different Financial Markets like Stock Market, Forex Market, Bond Market and Commodity market.
2. Learn to Predict Stock Prices and Market Trends using Machine Learning.
3. You will learn to analyze different Financial Assets using the tools and concepts of Technical Analysis like support, resistance and moving averages.
4. Manage Risk and learn the art of optimal money management and portfolio diversification using Kelly Criterion.
5. This course will teach you about different Financial Theories like Efficient Market Hypothesis, Random Walk Theory and Modern Portfolio Theory.
6. Learn to Evaluate the risk and volatility adjusted return of a portfolio using Sharpe Ratio.
7. Learn to Predict Stock Prices using LSTM Neural Network.
8. Learn the complex concepts of Financial Derivatives like Futures and Options in a simplified manner.
9. Learn to develop and backtest trading strategies in python.
10. This course will explain the advanced concepts of pair trading, arbitrage and algorithmic trading in a simple manner.

100% off Coupon

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