The most expensive sentence in automated trading is I set it and forgot it. Bots do not get tired, but they also do not notice when the market changes, when an exchange API breaks, or when a strategy that worked for months starts bleeding money. Traders who lose the most to bots are rarely the ones whose bot had a bad day. They are the ones who did not look at it for three weeks and discovered the damage too late. Monitoring a bot takes ten minutes a day, and those ten minutes are the cheapest insurance in trading.

The daily check: five minutes that matter

Every day, open your bot dashboard and check five things. First, is the bot actually running, and is it connected to the exchange? Second, what trades did it make since yesterday, and do they match the strategy you chose? Third, what is the current profit or loss, after fees? Fourth, how much of your balance is currently invested versus sitting in open orders? Fifth, is there any error message, failed order or warning you have not seen before? If anything looks wrong — trades you cannot explain, repeated errors, or a balance that dropped sharply — pause the bot before you investigate, not after.

The weekly review: is the strategy still working?

Once a week, step back from individual trades and look at the pattern. How many trades did the bot make, and what was the win rate? How big were the average win and the average loss? Is the bot trading far more often than usual, which can mean it is churning in a choppy market and losing money to fees? Compare the bot's performance with simply holding the coin: if the bot is underperforming a basic buy-and-hold over several weeks, the strategy may not be adding value. Write down one sentence each week summarising what the bot did and whether you are happy with it. That habit alone prevents most slow-motion disasters.

Warning signs that mean pause or stop

Some warning signs demand immediate action. A sudden spike in trading frequency, especially dozens of trades in an hour, often means a bug or a broken strategy. A drawdown that passes your pre-set limit — say ten percent of the allocated capital — means the strategy is failing in current conditions. Repeated failed orders or API errors mean the bot is not properly connected and may be trading blind. And any trade in a coin you did not authorise, or at a size you did not set, means you should stop the bot and revoke its API key until you understand what happened. Do not wait for one more day of data when the warning sign is already clear.

Monthly maintenance: updates, fees and strategy fit

Once a month, do proper maintenance. Check whether the bot platform has released updates or changed its pricing. Review total fees paid versus total profit — many bots look profitable before fees and lose money after them. Ask whether the market regime has changed: a grid bot that thrived in a sideways market will struggle in a strong trend, and a trend bot will struggle in a range. Consider whether the strategy still fits, or whether it is time to switch it off, change its settings, or move the capital to a different approach. Monthly maintenance is also the time to withdraw profits, so your bot is not quietly compounding risk on money you meant to keep.

Tools that make monitoring easier

You do not have to watch your bot manually around the clock. Most platforms offer email or mobile alerts for errors, large trades and daily summaries — turn them on. Some traders use portfolio trackers that show all their bots and holdings in one place. A simple spreadsheet with the bot's weekly profit, fees and drawdown is often more useful than a fancy dashboard, because it forces you to look at the numbers yourself. Whatever tools you use, the principle is the same: the bot executes, but you remain responsible. Automation changes who clicks the buttons. It does not change who owns the outcome.

The mindset: supervisor, not passenger

Think of yourself as the supervisor of an employee who works fast, never sleeps and never asks questions. A good supervisor checks in regularly, gives clear limits, and steps in the moment something looks wrong. A bad supervisor hires someone, disappears, and blames them when things go wrong. Your bot is the employee. Your job is to set its limits, check its work, and pull the plug when it stops doing what you hired it to do. Ten minutes a day is a small price for keeping control of your money. The traders who treat bots as employees to manage, rather than magic boxes to trust, are the ones who still have accounts a year later. Trading involves substantial risk of loss; never trade with money you cannot afford to lose.