webull
Unofficial APIs for Webull. (by tedchou12)
finta
Common financial technical indicators implemented in Pandas. (by peerchemist)
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webull | finta | |
---|---|---|
6 | 5 | |
588 | 1,728 | |
- | - | |
0.0 | 2.7 | |
about 1 month ago | over 1 year ago | |
Python | Python | |
MIT License | GNU Lesser 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.
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.
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Hello World Programs for API Stock Trading
### 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
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Broker for swing trading
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.
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Where is the official docs for the webull api?
Apart from their wiki, they don't seem to have official documentation!
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Where to get pre-market prices?
webull - GitHub - tedchou12/webull: Unofficial APIs for Webull.
finta
Posts with mentions or reviews of finta.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-17.
- looking for a python lib
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How It's Made! // Building A Crypto Trading Bot Network - A Tutorial (Part 1) // Whew, this was a tough one guys. It took 10x longer to put this together than I imagined. This is an in-depth review of my Bots and their parent system. Please let me know what you think and if I should continue.
Have you thought about using the FinTA package for trading signals and also ratelimit to help with some of those weird things that can pop up with dealing with external APIs
- Yesterday I came across Awesome-Quant repository and it was great. I went ahead and dig through all the backtesting & AI repos from Python and created a list of repo which are most updated & maintained. Let me know if I missed your favorite.
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Important python libraries?
I'm also going to shamelessly plug fast-trade, which is a backtesting library where you write strategies as objects instead of actual code. It's also built on a couple of pretty wonderful libraries including pandas and FinTa, which has a lot of indicators and it's really simple to use.
- Why use ta_lib when you can use FinTA?