Beta 2.0 Working

This commit is contained in:
Logan Laptop 2022-01-25 20:33:45 -06:00
parent 21a2c383b8
commit 3ec5857946
14 changed files with 284 additions and 161 deletions

3
.idea/.gitignore vendored Normal file
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# Default ignored files
/shelf/
/workspace.xml

8
.idea/StocksGame.iml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

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<component name="InspectionProjectProfileManager">
<profile version="1.0">
<option name="myName" value="Project Default" />
<inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
<option name="ignoredErrors">
<list>
<option value="N801" />
</list>
</option>
</inspection_tool>
</profile>
</component>

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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

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.idea/misc.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8" project-jdk-type="Python SDK" />
</project>

8
.idea/modules.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/StocksGame.iml" filepath="$PROJECT_DIR$/.idea/StocksGame.iml" />
</modules>
</component>
</project>

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.idea/vcs.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$" vcs="Git" />
</component>
</project>

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@ -6,21 +6,4 @@ if __name__ == "__main__":
trader = TradingBot()
while True:
_in = input("> ")
words = _in.split(" ")
if len(words) == 0:
continue
cmd = words.pop(0)
args = []
kwargs = {}
for w in words:
components = w.split("=")
if len(components) == 1:
args.append(w)
elif len(components) == 2:
kwargs[components[0]] = components[1]
else:
print("Invalid parameter: " + w)
continue
trader.interpret_command(cmd, *args, **kwargs)
# trader.buy("GOOG", 1)
trader.interpret_command(_in.lower())

79
src/picker.py Normal file
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import mechanicalsoup
from stock import StockList
class StockAnalyzer(mechanicalsoup.StatefulBrowser):
yahoo_52wk_low = "https://finance.yahoo.com/u/yahoo-finance/watchlists/fiftytwo-wk-low"
yahoo_52wk_high = "https://finance.yahoo.com/u/yahoo-finance/watchlists/fiftytwo-wk-high"
yahoo_most_added = "https://finance.yahoo.com/u/yahoo-finance/watchlists/most-added"
yahoo_active_spacs = "https://finance.yahoo.com/u/yahoo-finance/watchlists/most-active-spacs"
yahoo_covid = "https://finance.yahoo.com/u/trea/watchlists/the-fight-against-covid19"
yahoo_small_cap = "https://finance.yahoo.com/u/yahoo-finance/watchlists/most-active-small-cap-stocks"
def __init__(self):
super().__init__(user_agent="Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:47.0) Gecko/20100101 Firefox/47.0")
def get_prediction(self, symbol: str):
status = self.open("https://finance.yahoo.com/quote/" + symbol)
if not status.ok:
print("Invalid symbol: " + symbol)
return "invalid"
element = self.page.find("div", {"Fw(b) Fl(end)--m Fz(s) C($primaryColor"})
if element is None:
return "same"
value = element.get_text()
if value is None:
return "same"
if value == "Near Fair Value":
return "same"
if value == "Overvalued":
return "down"
if value == "Undervalued":
return "up"
def grab_yahoo_watchlist(self, link):
self.open(link)
table = self.page.find("table", {"class": "cwl-symbols W(100%)"})
data = []
for item in table.find_all("td"):
data.append(item.get_text())
count = len(data) / 9
companies = StockList()
for i in range(int(count)):
start = i * 9
# WHY TF ARE THERE 2 SYMBOLS FOR GOOGLE?????
if data[start + 1] == "GOOGL":
data[start + 1] = "GOOG"
company = [
data[start + 0],
data[start + 1],
data[start + 2],
data[start + 3],
data[start + 4],
data[start + 8],
1,
self.get_prediction(data[start + 0])
]
companies.add_stock(company)
return companies
def recommend_buy(self, budget):
print("Scanning largest 52 week losses...")
companies = self.grab_yahoo_watchlist(self.yahoo_52wk_low)
print("Scanning largest 52 week gains...")
companies.concat(self.grab_yahoo_watchlist(self.yahoo_52wk_high), False)
print("Scanning most watched stocks...")
companies.concat(self.grab_yahoo_watchlist(self.yahoo_most_added), False)
print("Scanning most active SPAC's...")
companies.concat(self.grab_yahoo_watchlist(self.yahoo_active_spacs), False)
print("Scanning COVID-19 related stocks...")
companies.concat(self.grab_yahoo_watchlist(self.yahoo_covid), False)
print("Scanning small market cap stocks...")
companies.concat(self.grab_yahoo_watchlist(self.yahoo_small_cap), False)
print("Sorting results...")
companies.keep_recommended()
print("Budgeting...")
companies.budget(int(budget))
return companies

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src/stock.py Normal file
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class StockList:
def __init__(self):
self.symbol = []
self.name = []
self.price = []
self.change_absolute = []
self.change_relative = []
self.market_cap = []
self.amount = []
self.prediction = []
def sanity_check(self):
# debug
assert len(self.symbol) == len(self.name)
assert len(self.name) == len(self.price)
assert len(self.price) == len(self.change_absolute)
assert len(self.change_absolute) == len(self.change_relative)
assert len(self.change_relative) == len(self.market_cap)
assert len(self.market_cap) == len(self.amount)
assert len(self.amount) == len(self.prediction)
def count(self):
self.sanity_check()
return len(self.symbol)
def total(self):
total = 0
for i in range(self.count()):
total += self.price[i] * self.amount[i]
return total
def add_stock(self, data, allow_duplicates=True):
dupe = data[0] in self.symbol
if dupe and not allow_duplicates:
index = self.symbol.index(data[0])
self.amount[index] += int(data[6])
return
self.symbol += [str(data[0])]
self.name += [str(data[1])]
self.price += [float(data[2])]
self.change_absolute += [str(data[3])]
self.change_relative += [str(data[4])]
self.market_cap += [str(data[5])]
self.amount += [int(data[6])]
self.prediction += [str(data[7])]
self.sanity_check()
def concat(self, stocks, allow_duplicates=True):
for i in range(stocks.count()):
self.add_stock(stocks.get_stock(i), allow_duplicates)
def remove_stock(self, index):
if self.count() <= index:
print("Out of range")
return
self.symbol.pop(index)
self.name.pop(index)
self.price.pop(index)
self.change_absolute.pop(index)
self.change_relative.pop(index)
self.market_cap.pop(index)
self.amount.pop(index)
self.prediction.pop(index)
def get_stock(self, index):
return [
self.symbol[index],
self.name[index],
self.price[index],
self.change_absolute[index],
self.change_relative[index],
self.market_cap[index],
self.amount[index],
self.prediction[index]
]
def most_expensive(self):
index = 0
highest = 0
for i in range(self.count()):
if self.price[i] >= highest:
index = i
highest = self.price[i]
return index
def least_expensive(self):
smallest = 9999999999
index = 0
for s in range(self.count()):
if self.price[s] <= smallest:
smallest = self.price[s]
index = s
return index
def budget(self, budget):
total = self.total()
while total > budget:
i = self.most_expensive()
self.remove_stock(i)
total = self.total()
print(self.name)
if self.count() == 0:
print("No stocks found")
return
while total + self.price[self.least_expensive()] < budget:
for stock in range(self.count()):
if total + self.price[stock] <= budget:
self.amount[stock] += 1
total = self.total()
def keep_recommended(self):
i = 0
size = self.count()
while i < size:
while i < size and self.prediction[i] != "up":
self.remove_stock(i)
size = self.count()
i += 1

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@ -1,113 +1,6 @@
import mechanicalsoup
import getpass
import bs4
import selenium
def _convert_symbol(dec: str):
mult = 1
if dec.find("M") != -1:
mult = 1000000
elif dec.find("B") != -1:
mult = 1000000000
dec = dec.replace("M", "")
dec = dec.replace("B", "")
dec = dec.replace(",", "")
return float(dec) * mult
def _convert_decimal(dec: str):
dec = dec.replace("%", "")
return float(dec) / 100
def _sum_total(stocks: list[dict]):
ret = 0
for s in stocks:
ret += s["price"] * s["amount"]
return ret
def _most_expensive(stocks: list[dict]):
if len(stocks) == 0:
return 0
largest = 0
index = 0
for s in range(len(stocks)):
if stocks[s]["price"] >= largest:
largest = stocks[s]["price"]
index = s
return index
def _least_expensive(stocks: list[dict]):
if len(stocks) == 0:
return 0
smallest = 9999999999
index = 0
for s in range(len(stocks)):
if stocks[s]["price"] <= smallest:
smallest = stocks[s]["price"]
index = s
return index
class StockAnalyzer(mechanicalsoup.StatefulBrowser):
def __init__(self):
super().__init__(user_agent="Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:47.0) Gecko/20100101 Firefox/47.0")
def recommend_buy(self, budget):
budget = float(budget)
data = []
self.open("https://finance.yahoo.com/u/yahoo-finance/watchlists/fiftytwo-wk-low")
table = self.page.find("table", {"class": "cwl-symbols W(100%)"})
for item in table.find_all("td"):
data.append(item.get_text())
count = len(data) / 9
companies = []
cart = []
for i in range(int(count)):
start = i * 9
company = {
"symbol": data[start + 0],
"name": data[start + 1],
"price": float(data[start + 2]),
"change-absolute": float(data[start + 3]),
"change-relative": _convert_decimal(data[start + 4]),
"market-cap": _convert_symbol(data[start + 8]),
"amount": 1
}
if company["price"] >= budget / 2:
continue
companies.append(company)
prediction = self.get_prediction(company["symbol"])
if prediction == "up":
cart.append(company)
total = _sum_total(cart)
while total > budget:
i = _most_expensive(cart)
cart.pop(i)
total = _sum_total(cart)
while total + cart[_least_expensive(cart)]["price"] < budget:
for stock in cart:
if total + stock["price"] <= budget:
stock["amount"] += 1
total = _sum_total(cart)
return cart
def get_prediction(self, symbol: str):
status = self.open("https://finance.yahoo.com/quote/" + symbol)
if not status.ok:
print("Invalid symbol: " + symbol)
return "invalid"
value = self.page.find("div", {"Fw(b) Fl(end)--m Fz(s) C($primaryColor"}).get_text()
if value == "Near Fair Value":
return "same"
if value == "Overvalued":
return "down"
if value == "Undervalued":
return "up"
from picker import StockAnalyzer
class TradingBot(mechanicalsoup.StatefulBrowser):
@ -115,7 +8,6 @@ class TradingBot(mechanicalsoup.StatefulBrowser):
super().__init__(user_agent="Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:47.0) Gecko/20100101 Firefox/47.0")
self.logged_in = False
self.commands = {
"help": self.help,
"quit": quit,
"login": self.login,
"buy": self.buy,
@ -124,37 +16,26 @@ class TradingBot(mechanicalsoup.StatefulBrowser):
}
self.analyzer = StockAnalyzer()
def help(self):
print("Unimplemented")
def interpret_command(self, cmd, *args, **kwargs):
cmd = cmd.lower()
def interpret_command(self, cmd):
if cmd not in self.commands.keys():
print("Invalid command " + cmd + ", type help for more info")
return
return self.commands[cmd](*args, **kwargs)
return self.commands[cmd]()
def login(self, *args, **kwargs):
def login(self, _username="", _password=""):
# Navigate to login page
self.open("https://www.howthemarketworks.com/login")
self.select_form('form[action="/login"]')
# Get login info
_username = args[0] if len(args) > 0 else ""
_password = args[1] if len(args) > 1 else ""
for key in kwargs.keys():
key = key.lower()
if key == "username" or key == "user":
_username = kwargs[key]
if key == "password" or key == "pass":
_password = kwargs[key]
if _username == "":
_username = input("Username: ")
if _password == "":
_password = getpass.getpass(prompt="Password: ")
# Submit form and get result
self.select_form('form[action="/login"]')
self.__setitem__("UserName", _username)
self.__setitem__("Password", _password)
result = self.submit_selected()
self.logged_in = result.ok and self.url == "https://www.howthemarketworks.com/accounting/dashboard"
if self.logged_in:
print("Log-in successful")
@ -162,32 +43,34 @@ class TradingBot(mechanicalsoup.StatefulBrowser):
print("Log-in failed")
return result
def buy(self, *args, **kwargs):
def buy(self, symbol="", quantity="", t="", stop=0):
if not self.logged_in:
print("Not logged in")
return None
symbol = args[0] if len(args) > 0 else ""
quantity = args[1] if len(args) > 1 else ""
for key in kwargs.keys():
key = key.lower()
if key == "sym" or key == "symbol":
symbol = kwargs[key]
if key == "quantity" or key == "q":
quantity = kwargs[key]
stop = float(stop)
if symbol == "":
symbol = input("Stock Symbol: ")
if quantity == "":
quantity = input("Quantity: ")
if t == "":
trailing = input("Make order trailing stop? Y/N - ")
if trailing:
t = "Trailing Stop %"
stop = input("What percent of price to stop? __/100 - ")
else:
t = "Market"
self.open("https://www.howthemarketworks.com/trading/equities")
self.select_form()
self.__setitem__("Symbol", symbol)
self.__setitem__("Quantity", quantity)
self.__setitem__("OrderType", t)
if t == "Trailing Stop %":
self.__setitem__("Price", stop)
result = self.submit_selected()
if result.ok:
print("Successfully bought " + str(quantity) + " shares of " + symbol)
print("Successfully bought " + str(quantity) + " shares of " + symbol + " with type " + t)
else:
print("Failed to purchase " + symbol + ". Check that the symbol is correct and funds are sufficient")
return result
@ -199,23 +82,35 @@ class TradingBot(mechanicalsoup.StatefulBrowser):
self.open("https://www.howthemarketworks.com/accounting/accountbalance")
self.launch_browser()
def autobuy(self, budget=1000):
def autobuy(self, budget=0):
if budget == 0:
budget = input("Budget for autobuy: ")
print("Analyzing market, this may take time")
stocks = self.analyzer.recommend_buy(budget)
total = _sum_total(stocks)
total = stocks.total()
symbols = []
print("The following stocks have been selected:")
for s in stocks:
symbols.append(s["symbol"])
print(s["name"] + " (" + s["symbol"] + ") ---- " + str(s["amount"]) + " share(s) totalling: $" + str(round(s["amount"] * s["price"], 2)))
for s in range(stocks.count()):
symbols.append(stocks.symbol[s])
print(stocks.name[s] + " (" + stocks.symbol[s] + ") ---- " + str(stocks.amount[s]) +
" share(s) totalling: $" + str(round(stocks.amount[s] * stocks.price[s], 2)))
print("Purchase will total $" + str(round(total, 2)))
order_type = "Market"
percent = 0
trailing = input("Add trailing stop? Y/N - ")
if trailing.lower() == "y":
order_type = "Trailing Stop %"
percent = input("What percent to put the stop? __/100 - ")
print("Make sure you have sufficient funds before continuing")
decision = input("Finalize purchase? Y/N - ")
if decision.lower() != "y":
print("Cancelled order")
return
for s in stocks:
self.buy(s["symbol"], s["amount"])
for s in range(stocks.count()):
if order_type == "Market":
self.buy(stocks.symbol[s], str(stocks.amount[s]), order_type)
else:
self.buy(stocks.symbol[s], str(stocks.amount[s]), order_type, percent)
if __name__ == "__main__":