| 1 - Algorithmic Trading Principles & History.mp4 | 89.8 MB | ||
| 1 - Course Introduction.mp4 | 29.6 MB | ||
| 1 - Credit Spreads - Convexity.pdf | 410.3 KB | ||
| 1 - Credit Spreads - OKane CDS valuation.pdf | 393.5 KB | ||
| 1 - Credit Spreads - OKane_2004_CreditSpreadsExplained.pdf | 469.5 KB | ||
| 1 - Credit Spreads.mp4 | 95.6 MB | ||
| 1 - Debt Markets.mp4 | 114 MB | ||
| 1 - Financial Maths.mp4 | 56.6 MB | ||
| 1 - Pairs Trading Statistical Theory.mp4 | 327.7 MB | ||
| 1 - Python Basics - python_cheat_sheet.pdf | 315.1 KB | ||
| 1 - Python Basics.mp4 | 126.4 MB | ||
| 1 - Swaps & Forwards - DerivativeSecurities7.pdf | 568 KB | ||
| 1 - Swaps & Forwards.mp4 | 157.7 MB | ||
| 1 - Trading Algorithm Outline.mp4 | 166.6 MB | ||
| 2 - Bond Valuation - bond_valuation.pdf | 172 KB | ||
| 2 - Bond Valuation.mp4 | 59.1 MB | ||
| 2 - Introduction to Global Markets.mp4 | 36.1 MB | ||
| 2 - Python OOP Programming.mp4 | 64.2 MB | ||
| 2 - Trading Algorithm Code - Bond Pairs Trading.ipynb | 16.8 MB | ||
| 2 - Trading Algorithm Code - Data Collection.pdf | 852.8 KB | ||
| 2 - Trading Algorithm Code.mp4 | 206.6 MB | ||
| 3 - Backtesting.mp4 | 220.6 MB | ||
| 3 - Key Python Packages - pandas.pdf | 15.3 MB | ||
| 3 - Key Python Packages.mp4 | 127.3 MB | ||
| 3 - Roles within Global Markets.mp4 | 93.4 MB | ||
| 4 - Algo Trading Results.mp4 | 57.4 MB | ||
| 4 - Software Engineering Principles.mp4 | 79.6 MB | ||
| 4 - Trading Position Management.mp4 | 28.6 MB | ||
| 5 - Order Books.mp4 | 31.5 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 31 total files | |||
Fixed Income Algorithmic Trading
https://WebToolTip.com
Published 10/2025
Created by Johann Power
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 20 Lectures ( 5h 13m ) | Size: 2.2 GB
Learn the core principles of algorithmic trading and how to build your own bond trading algorithm in Python.
What you'll learn
Understand what algorithmic trading is.
Gain a working knowledge of financial markets, statistics and python coding.
Use machine learning techniques to improve trading algorithm performance.
Be able to build and backtest your own trading algorithms.
Requirements
No background experience is necessary as you will be taught everything you need to know.
Some familiarity with coding will help you progress through the course quicker.
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