5 Common IBridgePy Mistakes and How to Fix Them
Avoid These Pitfalls in Your Python Trading Strategy
After helping thousands of traders deploy algorithmic trading strategies with Interactive Brokers, we have compiled the most common mistakes that IBridgePy users encounter. Each issue below includes the wrong approach, why it fails, and the correct solution.
Mistake #1: Using time.sleep() to Wait for Order Fills
The wrong way:
order_id = order(symbol('AAPL'), 100)
time.sleep(5) # Hope it fills in 5 seconds
fill_price = get_order(order_id).avgFillPrice # Often returns None
Why it fails: time.sleep() blocks the thread without processing incoming IB messages. The fill confirmation sits unprocessed in the message queue.
The fix:
order_id = order(symbol('AAPL'), 100)
order_status_monitor(order_id, 'Filled', waitingTimeInSeconds=30)
fill_price = get_order(order_id).avgFillPrice # Always populated
Mistake #2: Placing Orders in initialize()
The wrong way:
def initialize(context):
order(symbol('AAPL'), 100) # Fails silently
Why it fails: The initialize() function runs before the connection to IB is fully established. Orders must be placed in handle_data() or in a scheduled function.
The fix:
def initialize(context):
context.ordered = False
def handle_data(context, data):
if not context.ordered:
order(symbol('AAPL'), 100)
context.ordered = True
Mistake #3: Not Handling the "Filled" Status for Market Orders
The wrong way:
order_id = order(symbol('AAPL'), 100)
order_status_monitor(order_id, 'Submitted', waitingTimeInSeconds=30)
# Proceeds without knowing if order actually filled
Why it fails: For market orders, "Submitted" means the order reached IB, not that it executed. A fast-moving market could leave your strategy in an uncertain state.
The fix:
order_id = order(symbol('AAPL'), 100)
order_status_monitor(order_id, 'Filled', waitingTimeInSeconds=30)
# Now guaranteed to be filled
For limit orders that may not fill immediately, monitor multiple statuses:
order_status_monitor(order_id, ['Filled', 'Submitted'], waitingTimeInSeconds=30)
Mistake #4: Using get_open_orders() to Check if a Position Was Entered
The wrong way:
# Check if my order filled
open_orders = get_open_orders()
if my_order_id not in open_orders:
print('Must have filled!') # Not necessarily true
Why it fails: An order can be absent from get_open_orders() for multiple reasons: it could be filled, cancelled, or rejected. Absence does not confirm a fill.
The fix:
order_obj = get_order(my_order_id)
if order_obj.status == 'Filled':
print(f'Filled at {order_obj.avgFillPrice}')
elif order_obj.status == 'Cancelled':
print('Order was cancelled')
Mistake #5: Running Heavy Computation Inside handle_data()
The wrong way:
def handle_data(context, data):
# This blocks IB message processing for 30 seconds
result = run_ml_model_on_5000_tickers()
if result.signal:
order(symbol('AAPL'), 100)
Why it fails: While handle_data() is blocked by heavy computation, IB callbacks are not being processed. This can cause missed price updates, stale data, and connection timeouts.
The fix: Pre-compute signals before market hours using schedule_function(), or move heavy computation to a separate process and communicate via a file or database:
def initialize(context):
schedule_function(compute_signals,
time_rule=time_rules.spot_time(hour=9, minute=25))
def compute_signals(context):
# Run before market open
context.signal = run_ml_model_on_5000_tickers()
def handle_data(context, data):
if context.signal:
order(symbol('AAPL'), 100)
Bonus: Enabling Debug Logging
When troubleshooting any issue, enable IBridgePy's debug output by setting the log level in your settings.py:
logLevel = 'DEBUG'
This reveals the raw IB callback messages and helps identify exactly where communication breaks down.
For more examples and best practices, visit our tutorials page or check the API documentation.
