Mabye trading robot 1
user_0645964
plain_text
a year ago
1.8 kB
7
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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