Machine Learning-Quant Trading – Loonycorn

Master Forex trading with the Master trading-forex-investing-haris-hayat/">Forex trading with the Machine Learning-Quant Trading – LoonycornMachine Learning-Quant Trading – Loonycorn course, available for just course, available for just $$339.00339.00 Original price was: $339.00.Original price was: $339.00.$$61.0061.00Current price is: $61.00.Current price is: $61.00. on on GripForex.comGripForex.com! Specializing in financial markets, we offer premium downloadable Forex courses in ! Specializing in financial markets, we offer premium downloadable Forex courses in Courses, Forex and TradingCourses, Forex and Trading. Learn strategies from experts, trade smarter, and save over 80%. Get a grip on your trading future!. Learn strategies from experts, trade smarter, and save over 80%. Get a grip on your trading future!

Salepage link: Salepage link: At HERE. Archive: http://archive.is/Gg4Vo

Video Description

Play the Markets Like a Pro by Integrating Machine Learning into Your Investment Strategies! This online training course takes a completely practical approach to applying Machine Learning techniques to Quant Trading. The focus is on practically applying Machine Learning techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL, to writing hundreds of lines of Python code, the focus is on doing from the get-go.Play the Markets Like a Pro by Integrating Machine Learning into Your Investment Strategies! This online training course takes a completely practical approach to applying Machine Learning techniques to Quant Trading. The focus is on practically applying Machine Learning techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL, to writing hundreds of lines of Python code, the focus is on doing from the get-go.

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This Quant Trading Using Machine Learning course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you will discover how to build sophisticated financial models that will better inform your investing decisions. Supplemental Material included!Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This Quant Trading Using Machine Learning course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you will discover how to build sophisticated financial models that will better inform your investing decisions. Supplemental Material included!

TABLE OF CONTENTSTABLE OF CONTENTS

1. INTRODUCTION1. INTRODUCTION

• You, This Course, and Us! 00:02:01You, This Course, and Us! 00:02:01

2. DEVELOPING TRADING STRATEGIES IN EXCEL2. DEVELOPING TRADING STRATEGIES IN EXCEL

• Are markets efficient or inefficient? 00:10:27Are markets efficient or inefficient? 00:10:27
• Momentum Investing 00:11:31Momentum Investing 00:11:31
• Mean Reversion 00:06:30Mean Reversion 00:06:30
• Evaluating Trading Strategies – Risk and Return 00:16:22Evaluating Trading Strategies – Risk and Return 00:16:22
• Evaluating Trading Strategies – The Sharpe Ratio 00:10:16Evaluating Trading Strategies – The Sharpe Ratio 00:10:16
• The 2 Step process – Modeling and Backtesting 00:03:49The 2 Step process – Modeling and Backtesting 00:03:49
• Developing a Trading Strategy in Excel 00:11:42Developing a Trading Strategy in Excel 00:11:42

3. SETTING UP YOUR DEVELOPMENT ENVIRONMENT3. SETTING UP YOUR DEVELOPMENT ENVIRONMENT

• Installing Anaconda for Python 00:09:00Installing Anaconda for Python 00:09:00
• Installing Pycharm – a Python IDE 00:03:55Installing Pycharm – a Python IDE 00:03:55
• MySQL Introduced and Installed – Mac OS X 00:07:04MySQL Introduced and Installed – Mac OS X 00:07:04
• MySQL Server Configuration and MySQL Workbench – Mac OS X 00:17:32MySQL Server Configuration and MySQL Workbench – Mac OS X 00:17:32
• MySQL Installation – Windows 00:06:32MySQL Installation – Windows 00:06:32
• For Linux-Mac OS Shell Newbies – Path and Other Environment Variables 00:08:26For Linux-Mac OS Shell Newbies – Path and Other Environment Variables 00:08:26

4. SETTING UP A PRICE DATABASE4. SETTING UP A PRICE DATABASE

• Programmatically Downloading Historical Price Data 00:06:24Programmatically Downloading Historical Price Data 00:06:24
• Code Along – Downloading Price Data from Yahoo Finance 00:14:40Code Along – Downloading Price Data from Yahoo Finance 00:14:40
• Code Along – Downloading a URL in Python 00:07:39Code Along – Downloading a URL in Python 00:07:39
• Code Along – Downloading Price Data from the NSE 00:13:55Code Along – Downloading Price Data from the NSE 00:13:55
• Code Along – Unzip and Process the Downloaded Files 00:05:22Code Along – Unzip and Process the Downloaded Files 00:05:22
• Manually download data for 10 years 00:01:00Manually download data for 10 years 00:01:00
• Code Along – Download Historical Data for 10 years 00:06:26Code Along – Download Historical Data for 10 years 00:06:26
• Inserting the Downloaded Files into a Database 00:10:11Inserting the Downloaded Files into a Database 00:10:11
• Code Along – Bulk Loading Downloaded Files into MySQL Tables 00:15:13Code Along – Bulk Loading Downloaded Files into MySQL Tables 00:15:13
• Data Preparation 00:04:16Data Preparation 00:04:16
• Code Along – Data Preparation 00:12:43Code Along – Data Preparation 00:12:43
• Adjusting for Corporate Actions 00:08:41Adjusting for Corporate Actions 00:08:41
• Code Along – Adjusting for Corporate Actions 1 00:15:29Code Along – Adjusting for Corporate Actions 1 00:15:29
• Code Along – Adjusting for Corporate Actions 2 00:08:47Code Along – Adjusting for Corporate Actions 2 00:08:47
• Code Along – Inserting Index Prices into MySQL 00:05:41Code Along – Inserting Index Prices into MySQL 00:05:41
• Code Along – Constructing a Calendar Features Table in MySQL 00:06:54Code Along – Constructing a Calendar Features Table in MySQL 00:06:54

5. DECISION TREES, ENSEMBLE LEARNING AND RANDOM FORESTS5. DECISION TREES, ENSEMBLE LEARNING AND RANDOM FORESTS

• Planting the seed – What are Decision Trees 00:17:02Planting the seed – What are Decision Trees 00:17:02
• Growing the Tree – Decision Tree Learning 00:18:04Growing the Tree – Decision Tree Learning 00:18:04
• Branching out – Information Gain 00:18:51Branching out – Information Gain 00:18:51
• Decision Tree Algorithms 00:07:51Decision Tree Algorithms 00:07:51
• Overfitting – The Bane of Machine Learning 00:19:04Overfitting – The Bane of Machine Learning 00:19:04
• Overfitting Continued 00:11:20Overfitting Continued 00:11:20
• Cross-Validation 00:18:55Cross-Validation 00:18:55
• Regularization 00:07:18Regularization 00:07:18
• The Wisdom of Crowds – Ensemble Learning 00:16:39The Wisdom of Crowds – Ensemble Learning 00:16:39
• Ensemble Learning continued – Bagging, Boosting and Stacking 00:18:03Ensemble Learning continued – Bagging, Boosting and Stacking 00:18:03
• Random Forests – Much More Than Trees 00:12:28Random Forests – Much More Than Trees 00:12:28

6. A TRADING STRATEGY AS MACHINE LEARNING CLASSIFICATION6. A TRADING STRATEGY AS MACHINE LEARNING CLASSIFICATION

• Defining the Problem – Machine Learning Classification 00:15:51Defining the Problem – Machine Learning Classification 00:15:51

7. FEATURE ENGINEERING7. FEATURE ENGINEERING

• Know the basics – A Pandas tutorial 00:11:42Know the basics – A Pandas tutorial 00:11:42
• Code Along – Fetching Data from MySQL 00:18:35Code Along – Fetching Data from MySQL 00:18:35
• Code Along – Constructing Some Simple Features 00:07:28Code Along – Constructing Some Simple Features 00:07:28
• Code Along – Constructing a Momentum Feature 00:08:42Code Along – Constructing a Momentum Feature 00:08:42
• Code Along – Constructing a Jump Feature 00:05:52Code Along – Constructing a Jump Feature 00:05:52
• Code Along – Assigning Labels 00:03:13Code Along – Assigning Labels 00:03:13
• Code Along – Putting It All Together 00:18:08Code Along – Putting It All Together 00:18:08
• Code Along – Include Support Features from Other Tickers 00:06:34Code Along – Include Support Features from Other Tickers 00:06:34

8. ENGINEERING A COMPLEX FEATURE – A CATEGORICAL VARIABLE WITH PAST TRENDS8. ENGINEERING A COMPLEX FEATURE – A CATEGORICAL VARIABLE WITH PAST TRENDS

• Engineering a Categorical Variable 00:03:49Engineering a Categorical Variable 00:03:49
• Code Along – Engineering a Categorical Variable 00:06:47Code Along – Engineering a Categorical Variable 00:06:47

9. BUILDING A MACHINE LEARNING CLASSIFIER IN PYTHON9. BUILDING A MACHINE LEARNING CLASSIFIER IN PYTHON

• Introducing Scikit-Learn 00:03:33Introducing Scikit-Learn 00:03:33
• Introducing RandomForestClassifier 00:09:26Introducing RandomForestClassifier 00:09:26
• Training and Testing a Machine Learning Classifier 00:15:01Training and Testing a Machine Learning Classifier 00:15:01
• Compare Results from Different Strategies 00:05:45Compare Results from Different Strategies 00:05:45
• Using Class Probabilities for Predictions 00:03:11Using Class Probabilities for Predictions 00:03:11

10. NEAREST NEIGHBORS CLASSIFIER10. NEAREST NEIGHBORS CLASSIFIER

• A Nearest Neighbors Classifier 00:06:50A Nearest Neighbors Classifier 00:06:50
• Code Along – A Nearest Neighbors Classifier 00:04:16Code Along – A Nearest Neighbors Classifier 00:04:16

11. GRADIENT BOOSTED TREES11. GRADIENT BOOSTED TREES

• What are Gradient Boosted Trees 00:12:38What are Gradient Boosted Trees 00:12:38
• Introducing XGBoost – A Python Library for GBT 00:11:51Introducing XGBoost – A Python Library for GBT 00:11:51
• Code Along – Parameter Tuning for Gradient Boosted Classifiers 00:09:21Code Along – Parameter Tuning for Gradient Boosted Classifiers 00:09:21

12. INTRODUCTION TO QUANT TRADING12. INTRODUCTION TO QUANT TRADING

• Financial Markets – Who Are the Players 00:16:38Financial Markets – Who Are the Players 00:16:38
• What is a Stock Market Index 00:03:14What is a Stock Market Index 00:03:14
• The Mechanics of Trading – Long Vs Short Positions 00:11:56The Mechanics of Trading – Long Vs Short Positions 00:11:56
• Futures Contracts 00:14:26Futures Contracts 00:14:26

Strengthen your trading skills with the Strengthen your trading skills with the Machine Learning-Quant Trading – LoonycornMachine Learning-Quant Trading – Loonycorn course at course at GripForex.comGripForex.com! Gain lifetime access to expert-led Forex content, designed to enhance your market understanding and profitability.! Gain lifetime access to expert-led Forex content, designed to enhance your market understanding and profitability.

• Lifetime Access:Lifetime Access: Unlimited, permanent access to your Forex trading courses. Unlimited, permanent access to your Forex trading courses.
• Significant Savings:Significant Savings: Enjoy prices up to 80% lower than retail. Enjoy prices up to 80% lower than retail.
• Secure Transactions:Secure Transactions: Your financial details are protected during payment. Your financial details are protected during payment.
• Practical Trading Skills:Practical Trading Skills: Acquire actionable strategies for real-world Forex markets. Acquire actionable strategies for real-world Forex markets.
• Instant Access:Instant Access: Begin your trading education immediately after purchase. Begin your trading education immediately after purchase.
• Learn Anywhere:Learn Anywhere: Access your Forex courses on any device. Access your Forex courses on any device.

Take control of your trading with GripForex.com!Take control of your trading with GripForex.com!