def test_quotes(self):
quote = r.get_quotes(self.single_stock, info=None)
assert (len(quote) == 1)
quote = quote[0]
assert (quote['symbol'] == self.single_stock)
assert ('ask_price' in quote)
assert ('ask_size' in quote)
assert ('bid_price' in quote)
assert ('bid_size' in quote)
assert ('last_trade_price' in quote)
assert ('last_extended_hours_trade_price' in quote)
assert ('previous_close' in quote)
assert ('adjusted_previous_close' in quote)
assert ('previous_close_date' in quote)
assert ('symbol' in quote)
assert ('trading_halted' in quote)
assert ('has_traded' in quote)
assert ('last_trade_price_source' in quote)
assert ('updated_at' in quote)
assert ('instrument' in quote)
#
more_quotes = r.get_quotes(self.list_stocks, info=None)
assert (len(more_quotes) == len(self.list_stocks))
#
fake_quotes = r.get_quotes(self.fake_stocks, info=None)
assert (len(fake_quotes) == 1)
assert (fake_quotes[0] == None)
def tracker():
f = open("ticks.txt", "r")
d = open("shares.txt", "r")
share = 0
total = 0
price = 0
share = d.readline()
time.sleep(5)
while share != '':
currentTick = f.readline()
price = str(r.get_quotes(currentTick, info='bid_price'))
price = price.replace("['", "")
price = price.replace("']", "")
total = total + float(share) * float(price)
share = d.readline()
share = share.replace("\n", "")
share = share.replace(" ", "")
print(total)
f.close()
d.close()
def buyer():
f = open("prices.txt", "w")
f.close()
d = open("shares.txt", "w")
d.close()
x=0
totalcash = 1000.00
price = 0.0
z = open("ticks.txt", "r")
tick = z.readline()
while tick != '':
currentbuy = str(r.get_quotes(tick, info='ask_price'))
f = open("prices.txt", "a")
currentbuy = currentbuy.replace("['", "")
currentbuy = currentbuy.replace("']", "")
f.write(currentbuy + "\n")
tick = z.readline()
x=x+1
z.close()
f.close()
f = open("prices.txt", "r")
d = open("shares.txt", "a")
price = (f.readline())
price = price.replace("\n", "")
price = price.replace(' ', "")
price = (price)
coun = x
while coun > 0:
share = ((totalcash / x) / float(price))
print(share)
price = (f.readline())
d.write(str(share) + "\n")
price = price.replace("\n", "")
price = price.replace(' ', "")
price = (price)
coun = coun - 1
d.close()
f.close()
password = ''
#!!!
login = r.login(username, password)
# Query your positions
positions = r.get_open_stock_positions()
# Get Ticker symbols
tickers = [r.get_symbol_by_url(item["instrument"]) for item in positions]
# Get your quantities
quantities = [float(item["quantity"]) for item in positions]
# Query previous close price for each stock ticker
prevClose = r.get_quotes(tickers, "previous_close")
# Query last trading price for each stock ticker
lastPrice = r.get_quotes(tickers, "last_trade_price")
# Calculate the profit per share
profitPerShare = [
float(lastPrice[i]) - float(prevClose[i]) for i in range(len(tickers))
]
# Calculate the percent change for each stock ticker
percentChange = [
100.0 * profitPerShare[i] / float(prevClose[i])
for i in range(len(tickers))
]
def collect_stock_info(myStocks):
# This is created to hold all of the created tuples for my stocks
collected_stock_info = []
# This is creating a tuple for one stock
CurStock = namedtuple("CurStock", [
"symbol", "sector", "price", "average_buy_price", "quantity",
"amount_spent", "closing_price", "previous_close_date",
"fifty_day_avg", "twohundred_day_avg"
])
# This will iterate through all of my stocks, grab the needed data and create a tuple for each stock
avgCost = rb.account.get_open_stock_positions(info="average_buy_price")
quantity = rb.account.get_open_stock_positions(info="quantity")
index = 0
for stock in myStocks:
# Grabbing the neccessary data
curSymbol = rb.get_quotes(stock, info="symbol")[0]
curStockSector = rb.stocks.get_fundamentals(stock, info="sector")[0]
curStockPrice = float(rb.stocks.get_latest_price(stock)[0])
curStockAvgCost = float(avgCost[index])
curStockQuantity = float(quantity[index])
curStockAmountSpent = (curStockAvgCost * curStockQuantity)
curPreviousClose = float(
rb.get_quotes(stock, info="previous_close")[0])
curPreviousCloseDate = rb.get_quotes(stock,
info="previous_close_date")[0]
curStock50DayAvg = "none"
curStock200DayAvg = "none"
index = index + 1
# This is getting the 50 Day and 200 Day moving Avg
# If there is an error it will try to use a different website to get the needed info
try:
headers = {
'User-Agent':
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'
}
html = "https://financhill.com/stock-price-chart/" + curSymbol + "-technical-analysis"
html_text = requests.get(html, headers=headers)
soup = BeautifulSoup(html_text.text, "lxml")
prevTd = soup.find("td", string="50-day Simple Moving Average:")
curStock50DayAvg = float(prevTd.find_next_sibling("td").text)
prevTd = soup.find("td", string="200-day Simple Moving Average:")
curStock200DayAvg = float(prevTd.find_next_sibling("td").text)
except:
print(
"Could not find using financhill website. Trying stockanalysis website"
)
headers = {
'User-Agent':
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'
}
html = "https://stockanalysis.com/stocks/" + curSymbol + "/statistics/"
html_text = requests.get(html, headers=headers)
soup = BeautifulSoup(html_text.text, "lxml")
prevTd = soup.find("span", string="50-Day Moving Average")
curStock50DayAvg = float(prevTd.find_next("td").text)
prevTd = soup.find("td", string="200-Day Moving Average")
curStock200DayAvg = float(prevTd.find_next("td").text)
curStock = CurStock(symbol=curSymbol,
sector=curStockSector,
price=curStockPrice,
average_buy_price=curStockAvgCost,
quantity=curStockQuantity,
amount_spent=curStockAmountSpent,
closing_price=curPreviousClose,
previous_close_date=curPreviousCloseDate,
fifty_day_avg=curStock50DayAvg,
twohundred_day_avg=curStock200DayAvg)
# Add created stock tuple to the collection of all stock tuples
collected_stock_info.append(curStock)
return collected_stock_info
def getticks():
res = requests.get(
'https://www.tradingview.com/markets/stocks-usa/market-movers-gainers/')
soup = BeautifulSoup(res.text, "html.parser")
all_td_tags = []
# Set all_h1_tags to all h1 tags of the soup
for element in soup.select('td'):
all_td_tags.append(element.text)
# Create seventh_p_text and set it to 7th p element text of the page
x=0
tick = ""
f = open("ticks.txt", "w")
f.close()
f = open("ticks.txt", "a")
while (x < 1100): #1100 for entire list
s = soup.select('td')[x].text
s = s.replace("\n", "|")
s = s.replace("\t", "|")
if x%11 == 0:
ress = ''
for i in range(0, len(s)):
if i>3 and i<10:
ress = ress + s[i]
s=ress
s = s.replace("|", "")
tick = s
percent = soup.select('td')[x + 2].text
percent = percent.replace("%", "")
percent = float(percent)
if "/" not in s:
if "." not in s:
if soup.select('td')[x + 4].text == "Buy" or soup.select('td')[x + 4].text == "Strong Buy":
if percent < 30.00:
f.write(tick + "\n")
s = s.replace("|", "")
if x%11 == 2:
s = s.replace("%", "")
s = float(s)
if x%11 == 0 or x % 11 == 2 or x % 11 == 4:
print(s)
if x%11 == 5:
print()
x = x+1
f.close()
current = r.get_quotes(tick, info='ask_price')
print(current)
cash = str(r.load_phoenix_account(info='account_buying_power'))
print(cash)
print(current)