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import random
class TradingBot:
def __init__(self, balance, stake, stop_loss, take_profit, martingale_factor):
self.balance = balance
self.stake = stake
self.stop_loss = stop_loss
self.take_profit = take_profit
self.martingale_factor = martingale_factor
self.initial_stake = stake
def analyze_market(self):
# Placeholder for market analysis logic
return random.choice(['up', 'down'])
def trade(self, prediction):
if self.balance <= self.stop_loss:
print("Stop loss triggered. Trading halted.")
return
if self.balance >= self.take_profit:
print("Take profit reached. Trading halted.")
return
# Placeholder for trade execution logic
print(f"Executing trade for {self.stake} based on prediction: {prediction}")
def update_balance(self, result):
if result == 'win':
self.balance += self.stake
self.stake = self.initial_stake # Reset stake after a win
elif result == 'loss':
self.balance -= self.stake
self.stake *= self.martingale_factor # Apply Martingale strategy
def run(self):
while self.balance > self.stop_loss and self.balance < self.take_profit:
market_prediction = self.analyze_market()
self.trade(market_prediction)
# Simulate trade result
trade_result = random.choice(['win', 'loss'])
self.update_balance(trade_result)
print(f"New balance: {self.balance}")
# Example usage
bot = TradingBot(
balance=1000,
stake=10,
stop_loss=500,
take_profit=1500,
martingale_factor=2
)
bot.run()
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import random
class TradingBot:
def init(self, balance, stake, stop_loss, take_profit, martingale_factor):
self.balance = balance
self.stake = stake
self.stop_loss = stop_loss
self.take_profit = take_profit
self.martingale_factor = martingale_factor
self.initial_stake = stake
Example usage
bot = TradingBot(
balance=1000,
stake=10,
stop_loss=500,
take_profit=1500,
martingale_factor=2
)
bot.run()