tradebot 0.2.0

A Python wrapper around the TDAmeritrade API

Tradebot

A Python wrapper around the TDAmeritrade API

The only thing that needs to be manually configured by the user is the config file. As of right now, this needs to be a json file with the following format:

{
  "access_token": "oMLcWUb4GFRnSRCztRGy...",
  "refresh_token": "7GWdTz2AdBAz1IEtsErLM...",
  "scope": "PlaceTrades AccountAccess MoveMoney",
  "expires_in": 1800,
  "refresh_token_expires_in": 7776000,
  "token_type": "Bearer",
  "consumer_key": "5SMAF9JAZYKKPIPL5E6IZUQCAKZOV5D7",
  "account_number": "495909744"
}

You must make a developer account with TDAmeritrade to get your consumer/api key.

Follow the official TDAmeritrade API documentation for instructions on generating the refresh token. Following those instructions will provide you with the initial json you need; copy this into a json file in your source code directory. This is the central point of truth for your api configurations.

The access_token is essential for all requests and must be kept up-to-date. This expires every 30 minutes, but the user does not have to manually create a new one. Use the following snippet as an example of how to update the access token with the update_access_token utility function. This will automatically update the source json file.

from pathlib import Path
from tradebot.configs.utils import update_access_token

config_file = Path(__file__).parent / "configs.json"
configs = TradebotConfigs(config_file)
update_access_token(configs)

The refresh_token is what is used to get a new access token. The user must follow the same process as before to get a new refresh token. Thankfully, this only expires every 90 days. Work is in progress to automate this with Chromium drivers.

The account_number refers to the account number of your TDAmeritrade brokerage account and is only useful if you wish to see account info (positions, balances, etc). It is not necessary to perform the other stock related functions of Tradebot.

Here are some code snippets to get started.

Requesting fundamental data for a given ticker:

from pathlib import Path
from tradebot.configs import TradebotConfigs
from tradebot.backend import Tradebot
from tradebot.requests import TradebotRequests

file = Path(__file__).parent / "configs.json"
configs = TradebotConfigs(file)
requests = TradebotRequests(configs)
bot = Tradebot(configs, requests)

msft_fundamentals = bot.fundamentals("MSFT")

Requesting price history:

from tradebot.backend.enums import CandlePeriodType, CandleFrequencyType

file = Path(__file__).parent / "configs.json"
configs = TradebotConfigs(file)
requests = TradebotRequests(configs)
bot = Tradebot(configs, requests)

aapl_price_history = bot.price_history(
    "AAPL",
    period_type=CandlePeriodType.DAY,
    period=2,
    frequency_type=CandleFrequencyType.MINUTE,
    frequency=1
)