2018kguo

import robin_stocks as r

#Log in to Robinhood
#Put your username and password in a config.py file in the same directory (see sample file)
login = r.login(rh_username,rh_password)

def get_watchlist_symbols():
    """
    Returns: the symbol for each stock in your watchlist as a list of strings
    """

2018kguo

def get_last_crossing(df, days, symbol="", direction=""):
    """Searches for a crossing between two indicators for a given stock
    Args:
        df(pandas.core.frame.DataFrame): Pandas dataframe with columns containing the stock's prices, both indicators, and the dates
        days(int): Specifies the maximum number of days that the cross can occur by
        symbol(str): Symbol of the stock we're querying. Optional, used for printing purposes
        direction(str): "above" if we are searching for an upwards cross, "below" if we are searching for a downwaords cross. Optional, used for printing purposes
    Returns:
        1 if the short-term indicator crosses above the long-term one
        0 if there is no cross between the indicators

2018kguo

def sell_holdings(symbol, holdings_data):
    """ Place an order to sell all holdings of a stock.

    Args:
        symbol(str): Symbol of the stock we want to sell
        holdings_data(dict): dict obtained from get_modified_holdings() method
    """
    shares_owned = int(float(positions_data[symbol].get("quantity")))
    r.order_sell_market(symbol, shares_owned)
    print("####### Selling " + str(shares_owned) + " shares of " + symbol + " #######")

2018kguo

def buy_holdings(potential_buys, profile_data, holdings_data):
    """ Places orders to buy holdings of stocks. This method will try to order
        an appropriate amount of shares such that your holdings of the stock will
        roughly match the average for the rest of your portfoilio. If the share
        price is too high considering the rest of your holdings and the amount of
        buying power in your account, it will not order any shares.

    Args:
        potential_buys(list): List of strings, the strings are the symbols of stocks we want to buy
        symbol(str): Symbol of the stock we want to sell

2018kguo

<style>
  /*!
 * Bootstrap v4.3.1 (https://getbootstrap.com/)
 * Copyright 2011-2019 The Bootstrap Authors
 * Copyright 2011-2019 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
 */
  #test1 {
    width: 45vw;
  }

2018kguo

# This workflow to automatically build and deploy to GitHub Pages (master branch)
# when code is pushed to the dev branch
name: CI

# Controls when the action will run. 
on:
  # Triggers the workflow on push events but only for the dev branch
  push:
    branches: [ dev ]

2018kguo

plugins: [
    {
      resolve: `gatsby-plugin-gtag`,
      options: {
        // your google analytics tracking id
        trackingId: process.env.GOOGLE_ANALYTICS_ID,
        // Puts tracking script in the head instead of the body
        head: false,
        // enable ip anonymization
        anonymize: true,

2018kguo

import Social from "../components/social";

Hey there, I'm Kevin!

<Social email="mailto: kev.guo123@gmail.com" github="https://www.github.com/2018kguo" linkedin="https://www.linkedin.com/in/2018kguo/" medium="https://medium.com/@kev.guo123" >

2018kguo

github:
  enabled: true
  repoURL: "https://github.com/pittcsc/Summer2022-Internships"
linkedIn:
  enabled: true
  timespan: "day"
  queries: 
    - "software engineer intern"
    - "software engineering internship"
    - "software development intern"

2018kguo

async def fetchHTML(self, url: str, session: ClientSession) -> str:
        resp = await session.request(method="GET", url=url)
        html = await resp.text()
        if(len(html) == 0):
            print("Hit rate limit for LinkedIn requests")
        return html
     
 async def gatherTopLevelSearchForLocations(self) -> List[str]:
        htmlList = []
        async with aiohttp.ClientSession() as session: