took 8 days completely offline.
first time since 2020.
what I found was about managing algos during vacation.
the pre-vacation protocol #
T-5 days: stop opening new positions >5 DTE
T-3 days: close all winning positions >50% profit
T-1 day: close everything, go completely flat
why flat?
considered leaving algos running.
decided against it.
can’t monitor = can’t manage.
unexpected events happen. flash crashes. gap moves.
wasn’t willing to risk it for vacation peace of mind.
what I would do differently next time #
option 1: the auto-flatten approach
from datetime import datetime, timedelta
from typing import Optional
import asyncio
class VacationManager:
"""
Manages positions and trading during vacation periods
"""
def __init__(self, broker_client, vacation_start: datetime, vacation_end: datetime):
self.broker = broker_client
self.vacation_start = vacation_start
self.vacation_end = vacation_end
self.pre_vacation_days = 3
self.emergency_flatten_enabled = True
def is_pre_vacation_period(self) -> bool:
"""Check if we're in pre-vacation wind-down"""
days_until = (self.vacation_start - datetime.now()).days
return 0 < days_until <= self.pre_vacation_days
def is_vacation_period(self) -> bool:
"""Check if currently on vacation"""
now = datetime.now()
return self.vacation_start <= now <= self.vacation_end
def get_max_dte_allowed(self) -> int:
"""
Returns maximum DTE for new positions based on vacation proximity
"""
if self.is_vacation_period():
return 0 # no new positions
days_until = (self.vacation_start - datetime.now()).days
if days_until <= 1:
return 0 # no new positions
elif days_until <= 3:
return days_until - 1 # must expire before vacation
elif days_until <= 7:
return 5 # short-term only
else:
return 45 # normal max DTE
def should_close_position(self, position: dict) -> dict:
"""
Determine if position should be closed for vacation
"""
days_until = (self.vacation_start - datetime.now()).days
expiry = position.get('expiration_date')
pnl_pct = position.get('unrealized_pnl_pct', 0)
# T-5: Close winners >50%
if days_until <= 5 and pnl_pct > 0.5:
return {'close': True, 'reason': 'pre_vacation_profit_take'}
# T-3: Close all profitable
if days_until <= 3 and pnl_pct > 0:
return {'close': True, 'reason': 'pre_vacation_flatten'}
# T-1: Close everything
if days_until <= 1:
return {'close': True, 'reason': 'vacation_start'}
# Position expires during vacation
if expiry and self.vacation_start <= expiry <= self.vacation_end:
return {'close': True, 'reason': 'expires_during_vacation'}
return {'close': False, 'reason': None}
async def run_vacation_protocol(self):
"""
Execute vacation position management
"""
positions = await self.broker.get_positions()
for position in positions:
decision = self.should_close_position(position)
if decision['close']:
print(f"Closing {position['symbol']}: {decision['reason']}")
await self.broker.close_position(position['id'])
# Disable new trades during vacation
if self.is_vacation_period():
await self.broker.set_trading_enabled(False)
class EmergencyFlatten:
"""
Emergency position closer if things go wrong during vacation
Can be triggered remotely via simple webhook
"""
def __init__(self, broker_client):
self.broker = broker_client
self.flatten_triggered = False
async def flatten_all(self, reason: str = "emergency"):
"""
Close all positions immediately
"""
if self.flatten_triggered:
return {'status': 'already_triggered'}
positions = await self.broker.get_positions()
closed = []
for position in positions:
try:
await self.broker.close_position(
position['id'],
order_type='market' # immediate execution
)
closed.append(position['symbol'])
except Exception as e:
print(f"Failed to close {position['symbol']}: {e}")
self.flatten_triggered = True
return {
'status': 'flattened',
'positions_closed': len(closed),
'symbols': closed,
'reason': reason
}
option 2: reduced exposure approach
instead of fully flat, could run at 20% normal size.
smaller positions = smaller potential losses.
still capture some gains.
my choice: went fully flat. peace of mind > potential gains.
the cost-benefit analysis #
what I gave up:
~$2,000 in estimated missed gains
8 trading days of compounding
what I gained:
complete mental break
zero trading stress
best week with A. ever
relationship investment
position sizing for vacations #
normal month:
0.5% account risk per trade
pre-vacation (T-5 to T-3):
0.25% account risk (half size)
only high-confidence setups
pre-vacation (T-2 to T-1):
no new positions
close everything
during vacation:
0% (completely flat)
communication protocol #
before leaving:
told my broker contact I’d be unreachable
set up email auto-responder
disabled trading alerts (no point getting notifications I can’t act on)
emergency only:
gave A. the broker phone number
“only call them if the world is ending”
she never needed to.
the mental shift #
before vacation:
checking charts 10+ times daily
anxious about missing moves
couldn’t imagine 8 days away
after vacation:
realized markets don’t need me watching
my edge persists without constant monitoring
breaks are sustainable and healthy
implementing for future trips #
already planning next vacation:
maybe december. maybe january.
will use same protocol.
flat before leaving.
no wifi package.
complete disconnect.
the best part #
came back and markets were fine.
didn’t crash. didn’t moon.
just normal price action.
all that anxiety about missing things was unfounded.
tonight #
vacation algo management learnings. flat before leaving worked. missed ~$2k, worth it. pre-vacation protocol: T-5 stop new long DTE, T-3 close profitable, T-1 flatten everything. emergency webhook available but never used. mental shift: markets don’t need me watching constantly.
2:38am wednesday. vacation algo management post. went flat for 8 days. missed ~$2k. worth every penny for mental break. protocol documented for future trips. key insight: markets don’t need constant monitoring. will do this again.
-AK