Welcome to the Alpaca Trading Algorithm, a Python package for easy algorithmic trading on Alpaca

This package allows one to check account status, make long orders, make short orders, run a custom momentum-based algorithm, and automatically calculate the best tickers to trade in the S&P500 based off of probability of returns and betas.

To run this package, you will need an IEX Finance key, as well as an Alpaca API key

To install the algorithm:

$ pip install alpaca-trading-algorithm

To pick a stock ticker:

from alpaca_trading_algorithm import tickerpicker

ticker = tickerpicker.tickerpicker()

To create a stock class:

from alpaca_trading_algorithm import trader

ticker = 'AAPL'

aapl = trader.stock(alpacaKey, alpacaSecretKey, iexKey, ticker)

Methods in the class:

aapl.position()
# output: Number of shares:  
#         Market Value: 
#         Profit/Loss: 

aapl.checkhours()
# output: The market is (open or close)

Returns maximum amount of shares that you can trade of the ticker based on market value of cash portfolio

aapl.max_shares()

Takes AAPL (or chosen ticker) long at the current market price and specified share amount

aapl.longmarket(shares)

Takes AAPL (or chosen ticker) long at the current close of the stock

aapl.longlimit(shares)

Takes AAPL (or chosen ticker) short at the current market price

aapl.short(shares)

Closes entire short or long position in AAPL (or chosen ticker) based on whether you specify "long" or "short" as the typetoclose

aapl.closeposition(typetoclose)

Runs a momentum algorithm ONE TIME based on volume and time&sales, will take a stock short, long, close position, re-position, and employs a custom stop-loss

aapl.algo()

Runs the same momentum algorithm CONTINUOUSLY for the set amount of minutes

aapl.trade(minutes)