A python client lirbary for the TD Ameritrade API.
Unofficial TD Ameritrade Python API Library
Table of Contents
- What's in the API
- API Key & Credentials
- Documentation & Resources
- Support These Projects
- Authentication Workflow
Current Version: 0.3.1
The unofficial Python API client library for TD Ameritrade allows individuals with TD Ameritrade accounts to manage trades, pull historical and real-time data, manage their accounts, create and modify orders all using the Python programming language.
To learn more about the TD Ameritrade API, please refer to the official documentation.
What's in the API
- Authentication - access tokens, refresh tokens, request authentication.
- Accounts & Trading
- Market Hours
- Option Chains
- Price History
- Transaction History
- User Info & Preferences
The following requirements must be met to use this API:
- A TD Ameritrade account, you'll need your account password and account number to use the API.
- A TD Ameritrade Developer Account
- A TD Ameritrade Developer API Key
- A Consumer ID
- A Redirect URI, sometimes called Redirect URL
- Python 3.7 or later.
API Key and Credentials
Each TD Ameritrade API request requires a TD Ameritrade Developer API Key, a consumer ID, an account password, an account number, and a redirect URI. API Keys, consumer IDs, and redirect URIs are generated from the TD Ameritrade developer portal. To set up and create your TD Ameritrade developer account, please refer to the official documentation.
Additionally, to authenticate yourself using this library, you will need to provide your account number and password for your main TD Ameritrade account.
Important: Your account number, an account password, consumer ID, and API key should be kept secret.
The project can be found at PyPI, if you'd like to view the project please use this link.
pip install td-ameritrade-python-api
To upgrade the library run the following command:
pip install --upgrade td-ameritrade-python-api
This example demonstrates how to login to the API and demonstrates sending a request using the
get_quotes endpoint, using your API key.
# Import the client from td.client import TDClient # Create a new session, credentials path is optional. TDSession = TDClient( client_id='<CLIENT_ID>', redirect_uri='<REDIRECT_URI>', credentials_path='<PATH_TO_CREDENTIALS_FILE>' ) # Login to the session TDSession.login() # Grab real-time quotes for 'MSFT' (Microsoft) msft_quotes = TDSession.get_quotes(instruments=['MSFT']) # Grab real-time quotes for 'AMZN' (Amazon) and 'SQ' (Square) multiple_quotes = TDSession.get_quotes(instruments=['AMZN','SQ'])
Authentication Workflow Support
Automatically will handle the authentication workflow for new users, returning users, and users with expired tokens (refresh token or access token).
For certain requests, in a limited fashion, it will help validate your request when possible. For example, when using the
get_movers endpoint, it will automatically validate that the market you're requesting data from is one of the valid options.
Customized Objects for Watchlists, Orders, and Option Chains
Requests for saved orders, regular orders, watchlists, and option chains can be a challenging process that has multiple opportunities to make mistakes. This library has built-in objects that will allow you to quickly build your request and then validate certain portions of your request when possible.
The following requirements must be met before being able to use the TD Ameritrade Python API library.
- You must have a TD Ameritrade Account.
- You must have a TD Ameritrade Developer Account. Please go to following folder for instructions on how to create a Developer account.
Documentation and Resources
Official API Documentation
Support these Projects
Patreon: Help support this project and future projects by donating to my Patreon Page. I'm always looking to add more content for individuals like yourself, unfortuantely some of the APIs I would require me to pay monthly fees.
YouTube: If you'd like to watch more of my content, feel free to visit my YouTube channel Sigma Coding.
Step 1 - Start the Script:
While in Visual Studio Code, right click anywhere in the code editor while in the file that contains your code. The following dropdown will appear:
From the dropdown, click
Run Python file in Terminal, this will start the python script.
Step 2 - Go to Redirect URL:
The TD Library will automatically generate the redirect URL that will navigate you to the TD website for for you authentication. You can either copy the link and paste it into a browser manually or if you're using Visual Studio Code you can press
CTRL + Click to have Visual Studio Code navigate you to the URL immeditately.
Step 3 - Login to the TD API:
Once you've arrived at the login screen, you'll need to provide your credentials to authenticate the session. Please provide your Account Username and Account Password in the userform and then press enter. As a reminder these, are the same username/password combination you use to login to your regular TD Account.
Step 4 - Accept the Terms:
Accept the Terms of the API by clicking
Allow, this will redirect you.
Step 5 - Copy the Authorization Code:
After accepting the terms, you'll be taken to the URL that you provided as your
redirect URI. However, at the end of that URL will be
authorization code. To complete the authentication workflow, copy the URL as it appears below. Don't worry if the numbers don't match, as you will have a different code.
Step 6 - Paste the Authorization Code in the Terminal:
Take the URL and copy it into the Terminal, after you have pasted it, press
Enter. The authentication workflow will complete and the script will start running. At this stage, we are exchanging your authorization code for an access token. That access token is valid only for 30 minutes. However, a refresh token is also stored that will refresh your access token when it expires.
After, that the script should run. Additionally, inside the
td folder you'll notice a new JSON file called
td_state.json. This file contains all the info used during a session. Please DO NOT DELETE THIS FILE OR ELSE YOU WILL NEED TO GO THROUGH THE STEPS ABOVE.
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