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Update Free Digit Socail Bot.xml#1

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Neolnyt wants to merge 1 commit intoDerivBots:mainfrom
Neolnyt:patch-1
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Update Free Digit Socail Bot.xml#1
Neolnyt wants to merge 1 commit intoDerivBots:mainfrom
Neolnyt:patch-1

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@Neolnyt Neolnyt commented May 2, 2024

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()

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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