diff --git a/src/__pycache__/trading.cpython-310.pyc b/src/__pycache__/trading.cpython-310.pyc
new file mode 100644
index 0000000..df4487a
Binary files /dev/null and b/src/__pycache__/trading.cpython-310.pyc differ
diff --git a/src/main.py b/src/main.py
new file mode 100644
index 0000000..6087b9b
--- /dev/null
+++ b/src/main.py
@@ -0,0 +1,26 @@
+from trading import TradingBot
+
+
+if __name__ == "__main__":
+    print("*-*-* Logan's Trading Bot *-*-*")
+    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)
diff --git a/src/trading.py b/src/trading.py
new file mode 100644
index 0000000..a27a5b3
--- /dev/null
+++ b/src/trading.py
@@ -0,0 +1,224 @@
+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"
+
+
+class TradingBot(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")
+        self.logged_in = False
+        self.commands = {
+            "help": self.help,
+            "quit": quit,
+            "login": self.login,
+            "buy": self.buy,
+            "info": self.info,
+            "autobuy": self.autobuy
+        }
+        self.analyzer = StockAnalyzer()
+
+    def help(self):
+        print("Unimplemented")
+
+    def interpret_command(self, cmd, *args, **kwargs):
+        cmd = cmd.lower()
+        if cmd not in self.commands.keys():
+            print("Invalid command " + cmd + ", type help for more info")
+            return
+        return self.commands[cmd](*args, **kwargs)
+
+    def login(self, *args, **kwargs):
+        # 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.__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")
+        else:
+            print("Log-in failed")
+        return result
+
+    def buy(self, *args, **kwargs):
+        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]
+
+        if symbol == "":
+            symbol = input("Stock Symbol: ")
+        if quantity == "":
+            quantity = input("Quantity: ")
+
+        self.open("https://www.howthemarketworks.com/trading/equities")
+        self.select_form()
+        self.__setitem__("Symbol", symbol)
+        self.__setitem__("Quantity", quantity)
+        result = self.submit_selected()
+        if result.ok:
+            print("Successfully bought " + str(quantity) + " shares of " + symbol)
+        else:
+            print("Failed to purchase " + symbol + ". Check that the symbol is correct and funds are sufficient")
+        return result
+
+    def info(self):
+        if not self.logged_in:
+            print("Not logged in")
+            return None
+        self.open("https://www.howthemarketworks.com/accounting/accountbalance")
+        self.launch_browser()
+
+    def autobuy(self, budget=1000):
+        print("Analyzing market, this may take time")
+        stocks = self.analyzer.recommend_buy(budget)
+        total = _sum_total(stocks)
+        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)))
+        print("Purchase will total $" + str(round(total, 2)))
+        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"])
+
+
+if __name__ == "__main__":
+    ana = StockAnalyzer()
+    stonks = ana.recommend_buy(999999)
+    print(stonks)