Trang chủ

Finance & Accounting

Investing & Trading

Quantitative Finance

Algorithmic Trading & Quantitative Analysis Using Python

Algorithmic Trading & Quantitative Analysis Using Python

Loại khoá học: Investing & Trading

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

50.000 VND

100 VND

Đầy Đủ Bài Giảng

Học Online Tiện Lợi

Kích Hoạt Nhanh 2-5 Phút

Thanh toán tự động

Được phép tải xuống

Mô tả

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.

You can expect to gain the following skills from this course

Extracting daily and intraday data for free using APIs and web-scraping
Working with JSON data
Incorporating technical indicators using python
Performing thorough quantitative analysis of fundamental data
Value investing using quantitative methods
Visualization of time series data
Measuring the performance of your trading strategies
Incorporating and backtesting your strategies using python
API integration of your trading script
FXCM and OANDA API
Sentiment Analysis

Bạn sẽ học được gì

Algorithmic trading and quantitative analysis using python

Carrying out both technical analysis and fundamental analysis programatically

API trading

Yêu cầu

Intermediate level expertise in python
high school level familiarity with mathematics and statistics
Basic understanding of equity/forex trading

Nội dung khoá học

12 sections

Introduction

6 lectures

What Is Covered in this Course?

04:31

Course Prerequisites

01:57

Is This For Me?

01:39

How To Get Help

02:42

Anaconda Distribution Intro

03:36

Creating Virtual Environment (Optional)

09:58

Getting Data

8 lectures

Data Gathering Intro

05:00

yfinance Overview

07:32

yfinance - Getting Data for Multiple Stocks

14:16

yahoofinancials Library and Parsing JSON Data

10:28

yahoofinancials - Getting Data for Multiple Stocks

13:51

Alpha Vantage Python Library Intro

07:53

Alpha Vantage - Getting Data for Multiple Tickers

16:48

Other Free Data Resources

00:30

Web Scraping to Extract Financial Data

8 lectures

Web Scraping Vs API Based Data Extraction

05:45

HTML Intro

11:52

Web Scraping Financial Data Using Python - I

19:17

Web Scraping Financial Data Using Python - II

22:55

Web Scraping Financial Data Using Python - III

11:25

A Major Drawback & Selenium Intro

09:39

Web Scraping Using Selenium

22:14

Advanced Web Scraping Using Selenium

10:03

Basic Data Handling and Operations

5 lectures

Handling NaN Values

17:00

Basic Statistics - Familiarize Yourself With Your Data

12:37

Rolling Operations - Data In Motion

10:17

Visualization Basics - I

13:03

Visualization Basics - II

10:36

Technical Indicators

16 lectures

Introduction to Technical Indicators

04:40

Introduction to Charting

11:00

MACD Overview

08:13

MACD Implementation in Python

18:20

ATR and Bollinger Bands Overview

09:39

ATR Implementation in Python

11:56

Bollinger Bands Implementation in Python

06:36

RSI Overview and Excel Implementation

10:27

RSI Implementation in Python

09:35

ADX Overview

04:14

ADX Implementation in Excel

12:46

ADX Implementation in Python

10:31

Renko Overview

07:31

Renko Implementation in Python

11:37

TA-Lib Introduction

04:23

TA-Lib Installation and Application

17:53

Performance Measurement - KPIs

9 lectures

Introduction to Performance Measurement

04:50

CAGR Overview

03:04

CAGR Implementation in Python

10:20

How to Measure Volatility

03:45

Volatility Measures' Python Implementation

02:57

Sharpe Ratio and Sortino Ratio

04:26

Sharpe and Sortino in Python

08:11

Maximum Drawdown and Calmar Ratio

03:38

Maximum Drawdown and Calmar Ratio in Python

08:12

Backtest Your Strategies

10 lectures

Why Should I Backtest My Strategies?

06:53

Strategy I - Portfolio Rebalancing

07:03

Strategy I in Python

28:20

Strategy II - Resistance Breakout

08:27

Strategy II in Python -I

18:41

Strategy II in Python -II

28:05

Strategy III - Renko and OBV

04:34

Strategy III in Python

21:24

Strategy IV - Renko and MACD

05:19

Strategy IV in Python

12:54

Value Investing

7 lectures

Value Investing Overview

04:56

Introduction to Magic Formula

06:02

Magic Formula Implementation in Python

24:16

Updated Python Code - Yahoo-Finance Webpage Changes

00:56

Introduction to Piotroski F-Score

07:20

Piotroski F-Score Implementation in Python

27:08

Updated Python Code - Yahoo-Finance Webpage Changes

00:51

Building Automated Trading System on a Shoestring Budget

12 lectures

Automated/Algorithmic Trading Overview

13:48

Using Time Module in Python

12:44

MetaTrader5 Overview

04:52

MT5 Terminal Intro

19:09

Connecting to MT5 Terminal Using Python API

14:57

Getting Historical Data Using MT5 Python API

09:16

Placing Orders Using MT5 Python API

20:01

Other Important MT5 Python API Calls

11:58

Implementing Strategy on MT5 Intro

06:03

Strategy Implementation Details

00:07

Darwinex Platform Webinar

02:37

Darwinex Webinar Recording

44:48

Bonus Section: Running Your Algorithms in Cloud

9 lectures

Why Cloud

04:54

Launching AWS EC2 Instance

19:57

Connecting To The EC2 Instance I

15:11

Connecting To The EC2 Instance II

07:48

Transferring Files to EC2 Instance

12:11

Scheduling/Automating Your Scripts Using Crontab

15:15

Keeping Track of Running Processes

10:32

Using Screen Command with Crontab

07:35

Shutting Down/Deleting EC2 Instance

03:41

Bonus Section: Sentiment Analysis

14 lectures

Why Sentiment Analysis

06:00

Sentiment Analysis - Intuition

08:09

Natural Language Processing Basics

17:16

Lexicon Based Sentiment Analysis

06:36

VADER Introduction

11:35

Textblob Introduction

07:41

Building a Sentiment Analyzer using VADER - Part I

10:35

Building a Sentiment Analyzer using VADER - Part II

18:21

Machine Learning Based Sentiment Analysis

13:59

ML Feature Matrix & TF-IDF Introduction

09:50

Building ML Based Sentiment Analyzer - Part I

03:16

Building a ML Based Sentiment Analyzer - Part II

16:59

Building a ML Based Sentiment Analyzer - Part III

06:31

Sentiment Analysis Application - Opportunities & Challenges

04:56

Archived Lectures

22 lectures

Archived Lectures - Important Note

00:31

Pandas Datareader Overview

09:23

Getting Data Using Pandas Datareader

11:40

OBV Overview and Excel Implementation

06:36

OBV Implementation in Python

03:07

Slope in a Chart

04:12

Slope Implementation in Python

23:03

Web Scraping Intro

09:23

Important Note - Yahoo Finance Web Scraping

00:20

Using Web Scraping to Extract Stock Fundamental Data - I

16:02

Using Web Scraping to Extract Stock Fundamental Data - II

23:43

Updated Web-Scraping Code - Yahoo-Finance Webpage Changes

12:35

FXCM Overview

07:01

Introduction to FXCM Terminal

12:34

FXCM API

22:06

Building an Automated Trading System - part I

08:08

Building an Automated Trading System - part II

11:14

Building an Automated Trading System - part III

11:23

Building an Automated Trading System - part IV

10:50

OANDA Overview

06:56

OANDA API

25:57

SMA Crossover Strategy using OANDA API

19:19

Đánh giá của học viên

Chưa có đánh giá

Course Rating

5

0%

4

0%

3

0%

2

0%

1

0%

Bình luận khách hàng

Viết Bình Luận

Bạn đánh giá khoá học này thế nào?

Email

Nội dung

Khoá học liên quan

Automated Trading Bot (Python hands-on bootcamp)

Automated Trading Bot (Python hands-on bootcamp)

MQL5 ADVANCED: Multi-Strategy & Multi-Symbol Expert advisors

MQL5 ADVANCED: Multi-Strategy & Multi-Symbol Expert advisors

MQL5 PROJECTS: Code the Black Swan Trading Strategy in MQL5

MQL5 PROJECTS: Code the Black Swan Trading Strategy in MQL5

MQL5 ADVANCED:Code Machine learning EAs with Neural Networks

MQL5 ADVANCED:Code Machine learning EAs with Neural Networks

MQL5 PROJECTS: Code the White Fairy Pyramiding strategy

MQL5 PROJECTS: Code the White Fairy Pyramiding strategy

Investing In Stocks The Complete Course! (17+ Hours)

Investing In Stocks The Complete Course! (17+ Hours)

MQL5 PROJECTS: Code the Sure Fire Hedging strategy with MQL5

MQL5 PROJECTS: Code the Sure Fire Hedging strategy with MQL5

CFA Level 1 Certification - Complete Exam Prep Course Bundle

CFA Level 1 Certification - Complete Exam Prep Course Bundle

Khóa Học Đầu Tư Chứng Khoán Phái Sinh (Phần 2)

Khóa Học Đầu Tư Chứng Khoán Phái Sinh (Phần 2)

Complete algorithmic forex trading and back testing system

Complete algorithmic forex trading and back testing system

Performance Optimization and Risk Management for Trading

Performance Optimization and Risk Management for Trading

Forex Algorithmic Trading with Python : Build a Grid Bot

Forex Algorithmic Trading with Python : Build a Grid Bot

Algorithmic Trading & Quantitative Analysis Using Python

Algorithmic Trading & Quantitative Analysis Using Python

The complete trading course Key Level and Market structure

The complete trading course Key Level and Market structure

Spread Trader's Crash Course - Trading Commodity Futures

Spread Trader's Crash Course - Trading Commodity Futures

Level 1 CFA® Exam Prep Bootcamp (Part 2/2)

Level 1 CFA® Exam Prep Bootcamp (Part 2/2)

Đăng ký get khoá học Udemy - Unica - Gitiho giá chỉ 50k!

Get khoá học giá rẻ ngay trước khi bị fix.

Get khoá học cho tôi