# Nexxera EA Robotby zahir09

Average Rating: 0

## Indicator Description

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

# 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

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)

return sma

# 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.