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Collection of practical examples and code snippets for BinomoAPI.
import asyncio
from BinomoAPI import BinomoAPI, AuthenticationError
async def simple_trading_bot():
try:
# Login
login_response = BinomoAPI.login(
"your_email@example.com",
"your_password"
)
async with BinomoAPI(
auth_token=login_response.authtoken,
device_id=login_response.user_id,
demo=True
) as api:
# Check balance
balance = await api.get_balance()
print(f"Starting balance: ${balance.amount}")
# Place a trade
if balance.amount >= 1.0:
result = await api.place_call_option(
asset="EUR/USD",
duration_seconds=60,
amount=1.0
)
print(f"Trade result: {result}")
except AuthenticationError as e:
print(f"Login failed: {e}")
if __name__ == "__main__":
asyncio.run(simple_trading_bot())
import asyncio
import logging
from BinomoAPI import BinomoAPI
async def monitor_multiple_assets():
login_response = BinomoAPI.login(
"your_email@example.com",
"your_password"
)
async with BinomoAPI(
auth_token=login_response.authtoken,
device_id=login_response.user_id,
demo=True,
enable_logging=True
) as api:
# Get all assets
assets = api.get_available_assets()
# Monitor specific pairs
target_pairs = ["EUR/USD", "GBP/USD", "USD/JPY"]
for asset in assets:
if asset.name in target_pairs and asset.is_active:
print(f"Monitoring {asset.name}")
# Add your monitoring logic here
if __name__ == "__main__":
asyncio.run(monitor_multiple_assets())
import asyncio
import logging
from datetime import datetime
from BinomoAPI import BinomoAPI
from BinomoAPI.exceptions import (
AuthenticationError,
TradeError,
InsufficientBalanceError
)
class TradingBot:
def __init__(self, email: str, password: str):
self.email = email
self.password = password
self.setup_logging()
def setup_logging(self):
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('trading_bot.log'),
logging.StreamHandler()
]
)
async def initialize_api(self):
try:
login_response = BinomoAPI.login(
self.email,
self.password
)
logging.info("Login successful")
return BinomoAPI(
auth_token=login_response.authtoken,
device_id=login_response.user_id,
demo=True,
enable_logging=True
)
except AuthenticationError as e:
logging.error(f"Login failed: {e}")
raise
async def check_trading_conditions(self, api: BinomoAPI):
# Get balance
balance = await api.get_balance()
logging.info(f"Current balance: ${balance.amount}")
# Check if we can trade
if balance.amount < 1.0:
raise InsufficientBalanceError(
"Balance too low for trading"
)
# Get asset status
assets = api.get_available_assets()
target_asset = next(
(a for a in assets if a.name == "EUR/USD"),
None
)
if not target_asset or not target_asset.is_active:
raise TradeError("Target asset not available")
return True
async def execute_trade_strategy(self, api: BinomoAPI):
try:
# Validate conditions
await self.check_trading_conditions(api)
# Place trade
result = await api.place_call_option(
asset="EUR/USD",
duration_seconds=60,
amount=1.0
)
logging.info(f"Trade executed: {result}")
return result
except InsufficientBalanceError as e:
logging.error(f"Balance error: {e}")
except TradeError as e:
logging.error(f"Trade error: {e}")
except Exception as e:
logging.error(f"Unexpected error: {e}")
async def run(self):
try:
async with await self.initialize_api() as api:
while True:
current_time = datetime.now().strftime(
"%H:%M:%S"
)
logging.info(
f"Running trading cycle at {current_time}"
)
await self.execute_trade_strategy(api)
# Wait before next cycle
await asyncio.sleep(60)
except KeyboardInterrupt:
logging.info("Bot stopped by user")
except Exception as e:
logging.error(f"Bot error: {e}")
if __name__ == "__main__":
bot = TradingBot(
email="your_email@example.com",
password="your_password"
)
asyncio.run(bot.run())
import asyncio
import logging
from typing import Dict, List
from BinomoAPI import BinomoAPI
class MarketAnalyzer:
def __init__(self, api: BinomoAPI):
self.api = api
self.assets: List[str] = [
"EUR/USD",
"GBP/USD",
"USD/JPY"
]
self.analysis: Dict = {}
async def analyze_asset(self, asset: str):
"""
Implement your market analysis logic here.
This is a placeholder implementation.
"""
# Get asset data
ric = self.api.get_asset_ric(asset)
# Your analysis logic here
analysis_result = {
"asset": asset,
"ric": ric,
"timestamp": datetime.now().isoformat(),
"signal": "NEUTRAL"
}
self.analysis[asset] = analysis_result
return analysis_result
async def analyze_all_assets(self):
tasks = []
for asset in self.assets:
tasks.append(self.analyze_asset(asset))
results = await asyncio.gather(*tasks)
return results
async def run_market_analysis():
login_response = BinomoAPI.login(
"your_email@example.com",
"your_password"
)
async with BinomoAPI(
auth_token=login_response.authtoken,
device_id=login_response.user_id,
demo=True
) as api:
analyzer = MarketAnalyzer(api)
results = await analyzer.analyze_all_assets()
for result in results:
print(f"Analysis for {result['asset']}: {result}")
if __name__ == "__main__":
asyncio.run(run_market_analysis())
import asyncio
import pandas as pd
from BinomoAPI import BinomoAPI
async def analyze_historical_data():
login_response = BinomoAPI.login(
"your_email@example.com",
"your_password"
)
async with BinomoAPI(
auth_token=login_response.authtoken,
device_id=login_response.user_id,
demo=True
) as api:
# Get historical data
data = await api.get_historical_data(
asset="EUR/USD",
timeframe="1h",
count=100
)
# Convert to pandas DataFrame
df = pd.DataFrame(data)
# Calculate indicators
df['SMA20'] = df['close'].rolling(window=20).mean()
df['SMA50'] = df['close'].rolling(window=50).mean()
# Print analysis
print(df.tail())
if __name__ == "__main__":
asyncio.run(analyze_historical_data())
import asyncio
from BinomoAPI import BinomoAPI
async def analyze_realtime_data():
login_response = BinomoAPI.login(
"your_email@example.com",
"your_password"
)
async with BinomoAPI(
auth_token=login_response.authtoken,
device_id=login_response.user_id,
demo=True
) as api:
async def on_price_update(data):
# Implement your real-time analysis here
print(f"New price data: {data}")
# Subscribe to price updates
await api.ws_client.subscribe(["price_feed"])
api.ws_client.on_price_update = on_price_update
# Keep running
while True:
await asyncio.sleep(1)
if __name__ == "__main__":
asyncio.run(analyze_realtime_data())
from BinomoAPI.config_manager import get_config
def setup_trading_config():
config = get_config()
# Set trading parameters
config.set("trading", "max_trade_amount", 100.0)
config.set("trading", "risk_percentage", 2.0)
# Set technical parameters
config.set("technical", "ma_period", 14)
config.set("technical", "rsi_period", 14)
# Save configuration
config.save()
if __name__ == "__main__":
setup_trading_config()
import logging
def setup_trading_logs():
# Create formatters
detailed_formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
# File handler
file_handler = logging.FileHandler('trading.log')
file_handler.setFormatter(detailed_formatter)
# Error 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)
if __name__ == "__main__":
setup_trading_logs()
Remember to replace the email/password placeholders with your actual credentials and always test on a demo account first!