def get_portfolio_value(self): total = self.balance for item, qty in self.inventory.items(): total += qty * self.prices[item] return total
import random import time class PopItTrader: def (self, starting_balance=1000): self.balance = starting_balance self.inventory = "Rainbow Pop": 0, "Neon Pop": 0, "Glow Pop": 0 self.prices = "Rainbow Pop": 10, "Neon Pop": 15, "Glow Pop": 20
def sell(self, item, quantity): if item not in self.inventory: print("❌ Invalid item.") return if quantity > self.inventory[item]: print(f"❌ You only have self.inventory[item] pcs of item") return revenue = self.prices[item] * quantity self.balance += revenue self.inventory[item] -= quantity print(f"✅ Sold quantity x item for $revenue:.2f") Pop It Trading Script
self.price_history = item: [price] for item, price in self.prices.items()
You can run this in (Jupyter Notebook / terminal). It simulates buying/selling virtual "Pop It" items with changing market prices. def get_portfolio_value(self): total = self
> market 📈 New market prices: Rainbow Pop: $12.45 Neon Pop: $13.20 Glow Pop: $21.50
def simulate_market(self): """Random price fluctuations""" for item in self.prices: change = random.uniform(-0.10, 0.15) # -10% to +15% self.prices[item] = max(0.5, round(self.prices[item] * (1 + change), 2)) self.price_history[item].append(self.prices[item]) Need $cost:
def buy(self, item, quantity): if item not in self.prices: print("❌ Invalid item.") return cost = self.prices[item] * quantity if cost > self.balance: print(f"❌ Not enough money. Need $cost:.2f, have $self.balance:.2f") return self.balance -= cost self.inventory[item] += quantity print(f"✅ Bought quantity x item for $cost:.2f")
> suggest 🔔 BUY signal for Glow Pop (near low: $18.75)
def show_status(self): print("\n" + "="*40) print(f"💰 Balance: $self.balance:.2f") print("📦 Inventory:") for item, qty in self.inventory.items(): print(f" item: qty pcs (current price: $self.prices[item]:.2f)") print("="*40)
> sell Rainbow Pop 10 ✅ Sold 10 x Rainbow Pop for $124.50