McKlayne

import pandas as pd
import matplotlib.pyplot as plt 
import pytz
import datetime as dt
from datetime import date
import streamlit as st
#st.set_option('deprecation.showPyplotGlobalUse', False)
import numpy as np
import os
import alpaca_trade_api as tradeapi

McKlayne

import os
import alpaca_trade_api as tradeapi
import requests

api_key = 'your_api_key'
api_secret = 'your_api_secret'
os.environ["APCA_API_BASE_URL"] = "https://paper-api.alpaca.markets"
api = tradeapi.REST(api_key, api_secret, api_version='v2') # or use ENV Vars shown below
#portfolio of stocks
symbols = ['FB','AMZN','AAPL','NFLX','GOOG']

McKlayne

def fractional_shares_order(symbol, side, notional, amount, api_key, api_secret, endpoint):
    """ 
        A function to programatically purchase fractional shares leveraging the alpaca api

        Parameters
        ----------
        symbol : str, required
        side: str, 'buy' or "sell"
        notional: boolean, if True = notional, if False = fractional of a qty
        amount: str, If notional is true, a dollar amount. If notional is false, a fraction of a qty

McKlayne

import requests

endpoint =  'https://paper-api.alpaca.markets/v2/orders'
order = {
    "symbol":symbol,
    "notional":amount,
    "side":side,
    "type":"market",
    "time_in_force":"day"
}

McKlayne

os.environ["APCA_API_BASE_URL"] = "https://paper-api.alpaca.markets"
api = tradeapi.REST('{YOUR_ALPACA_API_KEY}','{YOUR_ALPACA_KEY_SECRET}', api_version='v2')

for ticker in top_movers.ticker.head(10):
    try:
        # Submit a market order to buy an amount of each ticker that was pulled from the top mover list
        api.submit_order(
            symbol=ticker,
            qty=1,
            side='buy',

McKlayne

import json
import pandas as pd
from datetime import datetime
import pytz
#!/usr/bin/env python
try:
    # For Python 3.0 and later
    from urllib.request import urlopen
except ImportError:
    # Fall back to Python 2's urllib2

McKlayne

#import packages
import streamlit as st
import os
import alpaca_trade_api as tradeapi
import pandas as pd 
import matplotlib.pyplot as plt 
import requests
import math
from termcolor import colored as cl 
import numpy as np

McKlayne

from io import BytesIO
import requests
import time
import pandas as pd

def earnings_history_api(api_key, symbol):
    assert symbol is not None
    symbol = symbol.strip().upper()

    url = f"{BASE_URL}function=EARNINGS&symbol={symbol}&apikey={api_key}"

McKlayne

from io import BytesIO
import requests
import time
import pandas as pd

def earnings_calendar_api(api_key, horizon, symbol=None):
    if symbol is not None:
        url = f'{BASE_URL}function=EARNINGS_CALENDAR&symbol={symbol}&horizon={horizon}&apikey={api_key}'
        response = requests.get(url)
    else:

McKlayne

def arbitrage_scan(graph):
    arb_checks = []

    for c1, c2 in combinations(graph.nodes, 2):
    #     print('paths from ', c1, 'to ', c2)
        for path in nx.all_simple_paths(graph, c1, c2):

            path_weight1 = 1
            for i in range(len(path) - 1):
    #             print(g[path[i]][path[i+1]]['weight'])