Mabye trading robot 1
user_0645964
plain_text
a year ago
1.8 kB
4
Indexable
import random class TradingBot: def __init__(self, initial_balance=10000): self.balance = initial_balance self.stock = 0 self.rsi_period = 14 # RSI calculation period self.buy_threshold = 30 self.sell_threshold = 70 self.prices = [] # Historical prices (mock data for demonstration) def calculate_rsi(self): # Replace with actual RSI calculation logic # This is just a mock function if len(self.prices) < self.rsi_period: return random.randint(1, 100) else: return random.randint(1, 100) def buy_stock(self): if self.calculate_rsi() <= self.buy_threshold: # Buy stocks using available balance # Replace with actual buy logic (e.g., API call) self.stock += 1 self.balance -= self.prices[-1] # Assuming last price for simplicity print(f"Bought 1 stock at {self.prices[-1]}") def sell_stock(self): if self.calculate_rsi() >= self.sell_threshold and self.stock > 0: # Sell all stocks # Replace with actual sell logic (e.g., API call) self.balance += self.stock * self.prices[-1] # Assuming last price for simplicity print(f"Sold {self.stock} stocks at {self.prices[-1]}") self.stock = 0 def run_strategy(self): # Replace with actual price fetching and streaming logic # For simplicity, we generate random prices here for _ in range(100): self.prices.append(random.randint(50, 150)) self.buy_stock() self.sell_stock() print(f"Current Balance: {self.balance}, Stocks Owned: {self.stock}") # Example usage if __name__ == "__main__": bot = TradingBot() bot.run_strategy()
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