Nexxera EA Robot by

3346 downloads / 301 views / Created: 28.06.2023
 Average Rating: 0

Indicator Description

works more or less as the smart money concept version 4 create by chat gtp

Comments

# Import required libraries import numpy as np import talib # Define Expert Advisor class class SmartMoneyExpertAdvisor: def __init__(self): # Initialize necessary variables self.is_position_open = False def calculate_indicator(self, prices): # Calculate the required indicators using TA-Lib or other libraries # Example: Calculate 20-day simple moving average (SMA) sma = talib.SMA(prices, timeperiod=20) # Add more indicators based on your strategy return sma def open_position(self, symbol, trade_type, volume): # Implement your position opening logic here # Example: Open a long (buy) position print(f"Opening {trade_type} position for {symbol} with volume {volume}") # Set the flag to indicate that a position is open self.is_position_open = True def close_position(self, symbol): # Implement your position closing logic here # Example: Close the position print(f"Closing position for {symbol}") # Reset the flag to indicate that no position is open self.is_position_open = False def on_new_tick(self, symbol, prices): # Calculate the required indicators indicator = self.calculate_indicator(prices) # Check for entry conditions if not self.is_position_open and prices[-1] > indicator[-1]: # Open a long position if conditions are met self.open_position(symbol, "long", 0.01) elif self.is_position_open and prices[-1] < indicator[-1]: # Close the position if conditions are met self.close_position(symbol)
# Import required libraries import numpy as np import talib # Define Expert Advisor class class SmartMoneyExpertAdvisor: def __init__(self): # Initialize necessary variables self.is_position_open = False def calculate_indicator(self, prices): # Calculate the required indicators using TA-Lib or other libraries # Example: Calculate 20-day simple moving average (SMA) sma = talib.SMA(prices, timeperiod=20) # Add more indicators based on your strategy return sma def open_position(self, symbol, trade_type, volume): # Implement your position opening logic here # Example: Open a long (buy) position print(f"Opening {trade_type} position for {symbol} with volume {volume}") # Set the flag to indicate that a position is open self.is_position_open = True def close_position(self, symbol): # Implement your position closing logic here # Example: Close the position print(f"Closing position for {symbol}") # Reset the flag to indicate that no position is open self.is_position_open = False def on_new_tick(self, symbol, prices): # Calculate the required indicators indicator = self.calculate_indicator(prices) # Check for entry conditions if not self.is_position_open and prices[-1] > indicator[-1]: # Open a long position if conditions are met self.open_position(symbol, "long", 0.01) elif self.is_position_open and prices[-1] < indicator[-1]: # Close the position if conditions are met self.close_position(symbol)
Risk warning: Forex, spread bets and CFD are leveraged products. They may not be suitable for you as they carry a high degree of risk to your capital and you can lose more than your initial investment. You should ensure you understand all of the risks.
Copyright © 2006 - 2024, Forex Software Ltd.;