File Name  ↓ File Size  ↓ Date  ↓ 
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13 Advanced Quantopian and Trading Algorithms -..>408 B2018-Jul-08 23:07
10 Time Series Analysis - 074 Discussion on cho..>416 B2018-Jul-08 23:07
01 Course Introduction - 003 Did you skip the l..>1.0 KiB2018-Jul-08 23:06
02 Course Materials and Set-up - 005 Course Ins..>1.4 KiB2018-Jul-08 23:07
01 Course Introduction - 004 Course FAQ.html2.1 KiB2018-Jul-08 23:06
08 Pandas with Time Series Data - 048 Welcome t..>506.7 KiB2018-Jul-08 23:07
03 Python Crash Course - 007 Welcome to the Pyt..>745.6 KiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>897.3 KiB2018-Jul-08 23:07
05 General Pandas Overview - 021 Welcome to Pan..>902.7 KiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>935.0 KiB2018-Jul-08 23:07
04 NumPy - 014 Welcome to NumPy.mp4952.3 KiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 076 Introducti..>963.2 KiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>986.3 KiB2018-Jul-08 23:07
08 Pandas with Time Series Data - 049 Introduct..>1.1 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 084 Key Financ..>1.2 MiB2018-Jul-08 23:07
09 Capstone Stock Market Analysis Project - 054..>1.2 MiB2018-Jul-08 23:06
10 Time Series Analysis - 060 Welcome to Time S..>1.4 MiB2018-Jul-08 23:07
03 Python Crash Course - 008 Introduction to Cr..>1.4 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 075 Welcome to..>1.4 MiB2018-Jul-08 23:07
07 Data Sources - 045 Introduction to Data Sour..>1.5 MiB2018-Jul-08 23:07
04 NumPy - 015 Introduction to NumPy.mp41.8 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>2.0 MiB2018-Jul-08 23:06
11 Python Finance Fundamentals - 091 EMH.mp42.3 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 087 Short Sell..>2.8 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>2.9 MiB2018-Jul-08 23:06
05 General Pandas Overview - 022 Introduction t..>3.0 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>3.0 MiB2018-Jul-08 23:07
10 Time Series Analysis - 065 EWMA Theory.mp43.1 MiB2018-Jul-08 23:07
10 Time Series Analysis - 061 Introduction to T..>3.2 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 090 Stock Spli..>3.8 MiB2018-Jul-08 23:07
01 Course Introduction - 001 Introduction to Co..>3.9 MiB2018-Jul-08 23:07
10 Time Series Analysis - 062 Time Series Basic..>4.1 MiB2018-Jul-08 23:07
01 Course Introduction - 002 Course Overview Le..>4.5 MiB2018-Jul-08 23:06
10 Time Series Analysis - 064 ETS Theory.mp44.7 MiB2018-Jul-08 23:07
05 General Pandas Overview - 032 General Pandas..>4.7 MiB2018-Jul-08 23:07
07 Data Sources - 046 Pandas DataReader.mp45.3 MiB2018-Jul-08 23:07
04 NumPy - 017 Numpy Operations.mp45.3 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>5.4 MiB2018-Jul-08 23:06
06 Visualization with Matplotlib and Pandas - 0..>5.6 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 080 Portfolio ..>5.7 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 088 CAPM - Cap..>5.9 MiB2018-Jul-08 23:06
03 Python Crash Course - 012 Python Crash Cours..>6.6 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 085 Types of F..>6.9 MiB2018-Jul-08 23:07
10 Time Series Analysis - 069 ACF and PACF.mp47.1 MiB2018-Jul-08 23:07
05 General Pandas Overview - 027 Missing Data.mp47.1 MiB2018-Jul-08 23:07
04 NumPy - 019 NumPy Review Exercise.mp47.8 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 079 Portfolio ..>8.1 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 077 Sharpe Rat..>8.2 MiB2018-Jul-08 23:07
10 Time Series Analysis - 067 ETS Code Along.mp48.3 MiB2018-Jul-08 23:06
10 Time Series Analysis - 072 ARIMA Code Part T..>8.4 MiB2018-Jul-08 23:06
05 General Pandas Overview - 023 Series.mp48.5 MiB2018-Jul-08 23:06
05 General Pandas Overview - 028 Group By with ..>8.6 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>8.8 MiB2018-Jul-08 23:07
08 Pandas with Time Series Data - 052 Time Shif..>9.1 MiB2018-Jul-08 23:06
11 Python Finance Fundamentals - 082 Portfolio ..>10.0 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>10.2 MiB2018-Jul-08 23:07
08 Pandas with Time Series Data - 050 Datetime ..>10.6 MiB2018-Jul-08 23:07
10 Time Series Analysis - 068 ARIMA Theory.mp410.6 MiB2018-Jul-08 23:06
02 Course Materials and Set-up - 006 Course Ins..>11.1 MiB2018-Jul-08 23:07
05 General Pandas Overview - 026 DataFrames Par..>11.1 MiB2018-Jul-08 23:07
09 Capstone Stock Market Analysis Project - 059..>11.5 MiB2018-Jul-08 23:07
04 NumPy - 018 Numpy Indexing.mp411.6 MiB2018-Jul-08 23:07
03 Python Crash Course - 013 Python Crash Cours..>12.4 MiB2018-Jul-08 23:07
03 Python Crash Course - 010 Python Crash Cours..>13.9 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>14.0 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>14.2 MiB2018-Jul-08 23:07
09 Capstone Stock Market Analysis Project - 055..>14.3 MiB2018-Jul-08 23:07
05 General Pandas Overview - 030 Pandas Common ..>14.3 MiB2018-Jul-08 23:07
10 Time Series Analysis - 070 ARIMA with Statsm..>14.9 MiB2018-Jul-08 23:07
07 Data Sources - 047 Quandl.mp415.0 MiB2018-Jul-08 23:07
05 General Pandas Overview - 029 Merging Joinin..>15.1 MiB2018-Jul-08 23:07
04 NumPy - 020 Numpy Exercise Solutions.mp415.1 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>15.4 MiB2018-Jul-08 23:07
09 Capstone Stock Market Analysis Project - 057..>15.4 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 089 CAPM Code ..>15.6 MiB2018-Jul-08 23:06
11 Python Finance Fundamentals - 086 Order Book..>15.9 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>16.0 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>16.0 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>16.2 MiB2018-Jul-08 23:07
03 Python Crash Course - 011 Python Crash Cours..>16.3 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>16.7 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>16.7 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>16.9 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>17.2 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>17.7 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 081 Portfolio ..>18.1 MiB2018-Jul-08 23:07
04 NumPy - 016 NumPy Arrays.mp418.2 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>18.5 MiB2018-Jul-08 23:06
10 Time Series Analysis - 071 ARIMA Code Part T..>18.7 MiB2018-Jul-08 23:07
05 General Pandas Overview - 033 General Pandas..>18.8 MiB2018-Jul-08 23:07
08 Pandas with Time Series Data - 051 Time Resa..>19.3 MiB2018-Jul-08 23:06
05 General Pandas Overview - 031 Data Input and..>19.5 MiB2018-Jul-08 23:07
10 Time Series Analysis - 073 ARIMA Code Part F..>19.6 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>19.6 MiB2018-Jul-08 23:07
10 Time Series Analysis - 066 EWMA Code Along.mp419.7 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>20.2 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>20.5 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>20.6 MiB2018-Jul-08 23:06
12 Basics of Algorithmic Trading with Quantopia..>20.6 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>20.6 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>21.0 MiB2018-Jul-08 23:07
03 Python Crash Course - 009 Python Crash Cours..>21.1 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>21.4 MiB2018-Jul-08 23:07
10 Time Series Analysis - 063 Introduction to S..>21.5 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 078 Portfolio ..>21.9 MiB2018-Jul-08 23:07
12 Basics of Algorithmic Trading with Quantopia..>21.9 MiB2018-Jul-08 23:07
06 Visualization with Matplotlib and Pandas - 0..>22.2 MiB2018-Jul-08 23:07
08 Pandas with Time Series Data - 053 Pandas Ro..>22.6 MiB2018-Jul-08 23:06
06 Visualization with Matplotlib and Pandas - 0..>22.8 MiB2018-Jul-08 23:06
05 General Pandas Overview - 024 DataFrames.mp422.9 MiB2018-Jul-08 23:07
05 General Pandas Overview - 025 DataFrames Par..>24.4 MiB2018-Jul-08 23:07
11 Python Finance Fundamentals - 083 Portfolio ..>25.9 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>26.5 MiB2018-Jul-08 23:07
13 Advanced Quantopian and Trading Algorithms -..>26.6 MiB2018-Jul-08 23:07
09 Capstone Stock Market Analysis Project - 058..>29.8 MiB2018-Jul-08 23:06
13 Advanced Quantopian and Trading Algorithms -..>33.3 MiB2018-Jul-08 23:07
09 Capstone Stock Market Analysis Project - 056..>35.3 MiB2018-Jul-08 23:07
To Download Entire Folder - Windows
  • Download wget
  • Browse to the directory you saved wget to, copy it to C:\Users\{username}\AppData\Local\Microsoft\WindowsApps
  • Open PowerShell or CMD
  • In the terminal window, paste in: wget -rnp then paste in the link of the directory from the site and hit Enter
  • A folder called files.scallawag.ca should appear in your user profile folder C:\Users\{username}
To Download Entire Folder - Linux
  • wget -r --no-parent "https://files.scallawag.ca/{directory}

Testing 123

Testing 123

Testing 123