webull VS lumibot

Compare webull vs lumibot and see what are their differences.

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webull lumibot
6 44
588 682
- 8.7%
0.0 9.7
about 1 month ago 7 days ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

webull

Posts with mentions or reviews of webull. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-06.
  • Hello World Programs for API Stock Trading
    1 project | /r/Python | 21 Jan 2023
    ### Alpaca #### # pip install alpaca_trade_api # Import Alpaca Package import alpaca_trade_api as tradeapi # Set API Keys api_key = '' secret_key = 'ENTER ALPACA SECRET KEY HERE' # Initialize Alpaca Trading Object alpaca_client = tradeapi.REST(api_key, secret_key, raw_data=True) # Validate Client Object Works print(alpaca_client.get_account()) # Submit a fractional trade (market order only) orderNumber = alpaca_client.submit_order(symbol='AAPL', qty=0.1234, side='buy', type='market', time_in_force='day')['client_order_id'] # Submit a limit order (fractional shares not allowed) orderNumber = alpaca_client.submit_order(symbol='AAPL', qty=5, side='sell', type='limit', limit_price='138.00', time_in_force='gtc')['client_order_id'] ### Tradier ### # pip install tradier-python # Import Tradier Package from tradier_python import TradierAPI # Set API Keys account_id = '' access_token = 'ENTER TRADIER ACCESS TOKEN HERE' # Initialize Tradier Trading Object tradier_client = TradierAPI(token=access_token, default_account_id=account_id, endpoint='https://api.tradier.com/') # Validate Client Object Works print(tradier_client.get_profile()) # Submit a limit order (fractional shares not allowed) orderNumber = order_number = tradier_client.order_equity(symbol='IBM', side='buy', quantity='10', order_type='limit', limit_price='138.00', duration='day' )['id'] ### Ally ### # pip install AllyInvestPy # Import Ally Package from ally import * # Set API Keys account_id = '' token_secret = 'ENTER ALLY TOKEN SECRET HERE' token_key = 'ENTER ALLY TOKEN KEY HERE' api_key = 'ENTER ALLY API KEY HERE' # Initialize Ally Trading Object ally_client = AllyAPI(account_id, token_secret, token_key, api_key, response_format="json") # Validate Client Object Works print(ally_client.get_account(id=account_id)) # Submit a limit order (fractional shares not allowed) orderInfo = ally_client.order_common_stock(ticker='APPL', shares=10, type='Limit', price='138.00', account_nbr=account_id, side='Buy') ### Webull ### # pip install webull # Import Webull Package from webull import webull # It's necessary to get and create below webull credentials file # Follow steps in this URL: https://github.com/tedchou12/webull/wiki/Workaround-for-Login # Tip: You need to enter trade token and do a search for "refreshToken" in order to locate and retrieve extInfo response fh = open('c:/temp/webull_credentials.json', 'r') credential_data = json.load(fh) fh.close() print(credential_data) print(credential_data['refreshToken']) print(credential_data['accessToken']) print(credential_data['tokenExpireTime']) print(credential_data['uuid']) # Initialize Webull Trading Object webull_client = webull() # Set Webull Tokens webull_client._refresh_token = credential_data['refreshToken'] webull_client._access_token = credential_data['accessToken'] webull_client._token_expire = credential_data['tokenExpireTime'] webull_client._uuid = credential_data['uuid'] # Refresh Webull Token to Extend Expiration for 1 Week n_data = webull_client.refresh_login() credential_data['refreshToken'] = n_data['refreshToken'] credential_data['accessToken'] = n_data['accessToken'] credential_data['tokenExpireTime'] = n_data['tokenExpireTime'] # Update credentials file with new values file = open('c:/temp/webull_credentials.json', 'w') json.dump(credential_data, file) file.close() # Validate Client Object Works print(webull_client.get_account_id()) # Submit Order (Fractional Shares Not Allowed) # Enter phone number, password, and trade token information webull_client.login('+1-2125551234', '') webull_client.get_trade_token('123456') # It's annoying but the two lines above, login() and get_trade_token() functions must be executed before EACH trade is placed orderNumber = webull_client.place_order(stock='AAPL', action='BUY', orderType='LMT', quant=10.0, price='138.00')['data']['orderId']
  • The Naked Smoking Gun
    1 project | /r/AMCSTOCKS | 8 Dec 2021
  • Broker for swing trading
    1 project | /r/swingtrading | 6 Aug 2021
    WeBull. No commissions. $5 minimum for fractional shares. 1am ET start of trading APIs here. Caveat is phone app has better UI than the desktop app, imo.
  • Where is the official docs for the webull api?
    2 projects | /r/learnpython | 6 May 2021
    Apart from their wiki, they don't seem to have official documentation!
  • Where to get pre-market prices?
    2 projects | /r/algotrading | 3 Feb 2021
    webull - GitHub - tedchou12/webull: Unofficial APIs for Webull.

lumibot

Posts with mentions or reviews of lumibot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-05.

What are some alternatives?

When comparing webull and lumibot you can also consider the following projects:

degiro-api - Unofficial DeGiro stock broker API. See your portfolio and set up orders in the market like wall street

algobot - Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.

backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

blankly - 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

pyrh - Python Framework to make trades with the unofficial Robinhood API

pybroker - Algorithmic Trading in Python with Machine Learning

waldur-mastermind - Waldur MasterMind is a hybrid cloud orchestrator.

LiuAlgoTrader - Framework for algorithmic trading

example-hftish - Example Order Book Imbalance Algorithm

sc-trade-tools - Issues repository for SC Trade Tools