#Optionstrader The name is not final. This project will one day be used to analyze the stock market in an open source fashion, so it will need to have a name which allows for the analysis of many markets.

Background The purpose of this project is to make 1 million dollars. We will make 1 million dollars distributed into 100 separate accounts each held by different people for the purpose of testing a privatized Universal Basic Income. Each person should invest between $100 and $20,000 and they will be provided with a recommended option chain to purchase, if they so choose, at differing intervals such as: "As fast as possible (~ Continuously)", "Minutely", "Hourly", "Daily", "Weekly", "Monthly". The average amount of money in all of the accounts must be within a 100% margin of the lowest amount of money invested on the platform. The reason for this is because we want to ensure that everyone gets a nice slice of the pie, before anyone goes in for seconds.

Example: If the first of two investors (1/2) invests $100, then the second of two investors (2/2) will only be able to invest up to $200 (which is 100% of the current average investment [2x]). If the first investor has a net increase in their investment, then the second investor would be able to invest more money into the system.

Tradier Developer Documentation: https://developer.tradier.com/documentation

Steps:

1. Extract the option chains available on the major exchanges.
2. Analyze the option chains

• Magic number for all strike points
• Store analysis on MySQL server

3. Draw charts
4. Get recommendation on which options to purchase
5. Manual confirmation of the options to purchase
6. Automatic trading system (Near/~ Continuously Trading)

Other things required to complete:

1. Paper trading API (Accounts)
2. Core engine (Eve Module? / REST API module)
3. Webservice (Flask/Django API)
4. Web server (HTML/JS/CSS- Use an automated tool)

Installation

1. run pip install requirements.txt
2. configure config_data_Dev.json with MySQL database connection Information and Tradier OAuth credentials
3. run the following to set up the database:

import optionstrader
db = optionstrader.Database()
db.configure_database()

4. Obtain an Oauth access token from the Traider Developer web portal and add the oauth_access_token to config_data_Dev.json
5. Start the stock scan with the following code:

scanner = optionstrader.Scanner()
scanner.start_stock_scan()

6. After the stock data is finished, you can start the option chain scan with the following:

scanner.start_option_chain_scan(number_of_weeks=4, scan_type='inside_out',
        query_type='default', ticker_array=None)

TESTING To run the unittests, cd into the /tests/optionstrader folder and run the following command:

python unittest -m discover