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Comprehensive guide for advanced features and professional trading with BinomoAPI.
import asyncio
import logging
from BinomoAPI import BinomoAPI, TradeError
from BinomoAPI.config_manager import get_config
# Configure professional logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('trading.log'),
logging.StreamHandler()
]
)
async def setup_trading_environment(auth_token: str, device_id: str):
# Initialize with all professional features
return BinomoAPI(
auth_token=auth_token,
device_id=device_id,
demo=True,
enable_logging=True,
log_level=logging.INFO
)
async def execute_trade_strategy(api: BinomoAPI):
try:
balance = await api.get_balance()
if balance.amount >= 5.0:
result = await api.place_call_option(
asset="EUR/USD",
duration_seconds=60,
amount=5.0
)
logging.info(f"Trade executed: {result}")
except TradeError as e:
logging.error(f"Trade failed: {e}")
async def manage_accounts(api: BinomoAPI):
# Check both account types
demo_balance = await api.get_balance("demo")
real_balance = await api.get_balance("real")
# Log balances
logging.info(f"Demo balance: ${demo_balance.amount}")
logging.info(f"Real balance: ${real_balance.amount}")
# Trade on specific account
if demo_balance.amount >= 10.0:
await api.place_call_option(
asset="EUR/USD",
duration_seconds=60,
amount=10.0,
use_demo=True # Explicitly use demo account
)
async def monitor_assets(api: BinomoAPI):
# Get all available assets
assets = api.get_available_assets()
# Filter active assets
active_assets = [
asset for asset in assets
if asset.is_active
]
# Monitor specific assets
target_assets = [
"EUR/USD", "GBP/USD", "USD/JPY"
]
for asset in active_assets:
if asset.name in target_assets:
ric = api.get_asset_ric(asset.name)
logging.info(f"Monitoring {asset.name} (RIC: {ric})")
def setup_trading_config():
config = get_config()
# Trading parameters
config.set("trading", "max_trade_amount", 100.0)
config.set("trading", "risk_percentage", 2.0)
config.set("trading", "default_duration", 60)
# Technical parameters
config.set("technical", "ma_period", 14)
config.set("technical", "rsi_period", 14)
config.set("technical", "bollinger_period", 20)
# Save configuration
config.save()
async def handle_realtime_data(api: BinomoAPI):
async def on_price_update(data):
logging.info(f"Price update: {data}")
async def on_trade_update(data):
logging.info(f"Trade update: {data}")
# Subscribe to WebSocket feeds
await api.ws_client.subscribe([
"price_feed",
"trade_feed"
])
# Set up handlers
api.ws_client.on_price_update = on_price_update
api.ws_client.on_trade_update = on_trade_update
from BinomoAPI.exceptions import (
AuthenticationError,
ConnectionError,
TradeError,
InsufficientBalanceError
)
async def handle_trading_errors(api: BinomoAPI):
try:
# Attempt trade
result = await api.place_call_option(
asset="EUR/USD",
duration_seconds=60,
amount=5.0
)
except AuthenticationError as e:
logging.error(f"Authentication failed: {e}")
# Attempt reauthorization
except ConnectionError as e:
logging.error(f"Connection failed: {e}")
# Implement retry logic
except InsufficientBalanceError as e:
logging.error(f"Insufficient funds: {e}")
# Adjust trade amount or notify
except TradeError as e:
logging.error(f"Trade failed: {e}")
# Analyze failure and adjust strategy
class TradingStrategy:
def __init__(self, api: BinomoAPI):
self.api = api
self.config = get_config()
async def analyze_market(self, asset: str):
# Implement market analysis
pass
async def execute_trade(self, analysis_result: dict):
if analysis_result["signal"] == "CALL":
await self.api.place_call_option(
asset=analysis_result["asset"],
duration_seconds=60,
amount=self.calculate_position_size()
)
def calculate_position_size(self) -> float:
balance = await self.api.get_balance()
risk_percentage = self.config.get(
"trading",
"risk_percentage"
)
return balance.amount * (risk_percentage / 100)
def setup_advanced_logging():
# Create formatters
detailed_formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
# File handler for all logs
file_handler = logging.FileHandler('trading.log')
file_handler.setFormatter(detailed_formatter)
# Error-specific handler
error_handler = logging.FileHandler('errors.log')
error_handler.setLevel(logging.ERROR)
error_handler.setFormatter(detailed_formatter)
# Configure root logger
logger = logging.getLogger()
logger.setLevel(logging.INFO)
logger.addHandler(file_handler)
logger.addHandler(error_handler)
async def run_professional_trading():
# Initialize everything
setup_advanced_logging()
setup_trading_config()
# Login
login_response = BinomoAPI.login(
os.getenv("BINOMO_EMAIL"),
os.getenv("BINOMO_PASSWORD")
)
async with await setup_trading_environment(
login_response.authtoken,
login_response.user_id
) as api:
# Initialize strategy
strategy = TradingStrategy(api)
# Monitor assets
await monitor_assets(api)
# Start real-time data handling
await handle_realtime_data(api)
# Execute trading strategy
while True:
try:
analysis = await strategy.analyze_market("EUR/USD")
await strategy.execute_trade(analysis)
await asyncio.sleep(1) # Rate limiting
except Exception as e:
logging.error(f"Strategy error: {e}")
await asyncio.sleep(5) # Error cooldown
if __name__ == "__main__":
asyncio.run(run_professional_trading())
Remember to always test strategies on a demo account first and implement proper risk management!