A Python script that can download historical stock data, 10-K & 10-Q filings, and simulate intraday data.

This python script was used to download and simulate the data for the Bridge Jump Portfolio Management game.

Please feel free to request any features. Code contributions are always welcome!

Bitbucket | Github

$ git clone https://github.com/bridge-usa/financier.git

Included with the Python script are four example configuration files.

When looking for historical stock data, the script first looks at Yahoo Finance data for the stock. If that fails, it turns to Google Finance. The data is then saved as a CSV.

Intraday data is crudely randomized by taking the standard deviation of all the returns and creating a variance out of that data. The data is then applied to create ticks that create some kind of a curve between the opening and closing for each day.

Filings are scraped directly from http://www.sec.gov. The script first tries to find documents by using the stock ticker. If this fails, it uses the company name to identify a (hopefully) matching CIK. The documents are then located using CIK.

$ python stock-miner.py

The script will then walk you through the steps for loading the list of stocks to download data about, as well as "cleaning" the list and repairing old data.

All files are downloaded to a DATA directory and sorted into the subdirectories Historical, Daily, Intraday, Filings.

Before downloading, there are several flags that can be used to customize the data mining:

• -f - Download 10-K & 10-Q filings.
• -h - Download specific historical dates.
• -d - Download a range of daily data.
• -i - Simulate intraday data from the daily data.

GOAL: I hope to take out this hard coded configuration, and replace it with its own configuration file.

In the method mine() are three configuration variables:

The date dictionary determines the duration for which Daily data will be downloaded. This will also affect the duration of the Intraday data.

The default date configuration:

date = {
    'startDay'   : 1,
    'startMonth' : 9,
    'startYear'  : 1997,
    'endDay'     : 30,
    'endMonth'   : 11,
    'endYear'    : 1997
}

startYear-startMonth-startDay to endDay-endMonth-endYear translates to 1997-09-01 to 1997-11-30.

The history list is simply a list of historical dates that should be downloaded as well as the dates in the date range. Each date should be a dictionary with day, month, and year keys.

The default history configuration:

history = [
    { 'day' : 29, 'month' : 8, 'year' : 1997 },
    { 'day' : 1, 'month' : 8, 'year' : 1997 },
    { 'day' : 1, 'month' : 7, 'year' : 1997 },
    { 'day' : 2, 'month' : 6, 'year' : 1997 },
    { 'day' : 1, 'month' : 5, 'year' : 1997 },
    { 'day' : 1, 'month' : 4, 'year' : 1997 },
    { 'day' : 3, 'month' : 3, 'year' : 1997 },
    { 'day' : 3, 'month' : 2, 'year' : 1997 },
    { 'day' : 2, 'month' : 1, 'year' : 1997 },

    { 'day' : 1, 'month' : 11, 'year' : 1996 },
    { 'day' : 1, 'month' : 10, 'year' : 1996 },
    { 'day' : 3, 'month' : 9, 'year' : 1996 },

    { 'day' : 2, 'month' : 11, 'year' : 1992 },
    { 'day' : 1, 'month' : 10, 'year' : 1992 },
    { 'day' : 1, 'month' : 9, 'year' : 1992 }
]

The filing string should be the threshold date for finding 10-Ks and 10-Qs. The formate should be "YYYYMMDD". Documents filed after this date will not be downloaded.

The default filing configuration:

filing = "19970901"

In the method censor() is a regex substitution that replaces any designated year format with "[YR]".

The default censor() configuration:

def censor(f):
    return re.sub(r'19\d\d', '[YR'], f)

This text file should include the tickers for any stocks you wish to download information about. Tickers should be separated by a carriage return (\r). The tickers should be in the same order as the company names in name-list.txt.

This file includes the list of official registered names for the companies. The list should be in the same order as the ticker symbols in stock-list.txt.

When pulling stocks from Bloomberg Terminals, stocks that no longer exist have random ID numbers as opposed to their original tickers. Include those ID numbers in this list to be replaced with the old tickers. This list should be in the same order as the ticker symbols in fix-list.txt.

This list should contain old stock tickers for no longer existing companies. The order of stock tickers should be in the same order as the ID numbers in rep-list.txt.