A trader’s checklist for using Hunter AI’s automatic bot without handing over control

An automatic bot should do the repetitive work, not make the trade idea for you. If the setup, risk, and exit rules are vague, automation only makes the mistakes more consistent.

Start with the real job of an automation bot

A trading bot is most useful when you are not at the screen and still want the plan executed the same way each time. That means monitoring, entry, exit, and basic risk handling should already be decided before you switch it on.

The wrong assumption is that the bot will create edge for you. It will not. If the setup is unclear, the bot can only repeat an unclear decision faster.

Use the mini-app as the test bench

Treat the mini-app as the place to separate the quality of the signal from your own hesitation. You can see whether the rules behave cleanly before real size is involved, which is a better test than trying to judge the strategy while emotions are mixed in.

That matters because many bad results come from the trader, not the code. A bot cannot fix a playbook that changes halfway through the trade.

Use a short pre-trade checklist before you let the bot run

1) Identify the regime first

Start with regime: trend, range, or chop. The same entry logic does not belong in all three.

A trend trade wants momentum rules and a trailing exit. A range trade wants tighter invalidation and predefined profit targets. Chop is where size should usually come down, or the trade should be skipped entirely.

2) Match size to the volatility bucket

Before the order goes live, check whether volatility is low, mid, or high. The position that feels harmless in a quiet tape can become oversized the moment the market widens out.

The cleanest way to keep risk steady is to size off ATR (average true range, a measure of recent volatility). If ATR rises, the share size should fall so the dollar risk stays close to plan.

Say your account is $10,000 and you risk 1% per trade, or $100. If your stop is 2 ATRs away and the market is moving harder than usual, the bot should reduce size rather than keep the same contract count and hope the stop holds.

3) Choose the exit before entry

If it is a trend trade, decide in advance whether the setup is strong enough for a trailing stop or whether it is already tiring. Strong trend conditions favour a trail; weakening trend conditions usually work better with a TP ladder (taking profits in stages).

The point is simple: the bot should not have to make up the exit while price is moving. That decision belongs upstream.

4) Check the calendar before new risk goes on

Do not open fresh leverage right before a scheduled event. CPI, FOMC, jobs data, and major option expiries can all force a gap or a fast repricing that has little to do with your setup.

A practical rule is to cut active leverage roughly in half, avoid new positions inside the 30 minutes before the print, and wait for the first 4h candle after the event before restoring size. By then, the first shock has usually been absorbed or confirmed.

What the bot should do once a trade is live

In a strong trend, let the trail work

When the regime is trending and the move is still making higher highs or lower lows, the bot should keep the trade open with a trailing stop anchored to the most recent higher low or lower high. A small first partial at the prior swing high is enough in many cases.

Manual exits often take the rest of the trade off too early. The trail is there to keep you in while the structure is still intact.

In a fading trend or range, take profits in stages

When momentum is fading, use a ladder such as 30/30/40 around 1R, 1.7R, and 2.5R. After the second tier, move the stop to break-even.

That approach front-loads realized gains when the move is losing energy. It also reduces the chance of giving everything back on a sharp reversal.

Keep the entry tag and the exit logic aligned

The regime at entry should stay attached to the trade in your records. Over time, regime differences usually explain more than indicator differences.

That is why the bot should not use one generic exit for every long or every short. A trend long and a range long are not the same trade.

If the stop is hit early, check the setup first

If the stop gets tagged within the first few bars and price later moves in your favour, that is a warning about the setup, not proof that the bot is broken. The issue is usually upstream: the stop may have sat inside obvious liquidity, the volatility bucket may have been wrong, or the entry may have been taken too early.

Do not solve that by simply widening every stop. First ask whether the trade belonged in that regime at that size.

Decide what success looks like after the first batch of trades

Judge the bot on discipline first. Did it follow the plan, size correctly, and respect the exit rules? One winning trade does not prove much, and one losing trade does not disprove the process.

The more useful test is whether results differ by bucket.

Bucket takeaway

In the signal data for thin-liquidity 4h trend trades, performance varies by direction and volatility band:

• Long trades in high volatility show a 0.036R expectancy.
• Long trades in mid volatility rise to 0.219R.
• Short trades in high volatility show 0.234R.
• Short trades in mid volatility are negative at -0.060R.

The setup is not the same in every market state, even when the label looks similar.

That is why a useful review loop is narrow, not emotional:

• If premature stop-outs are common, widen the buffer or move the stop outside obvious liquidity.
• If volatility is higher, reduce size rather than forcing the same contract count.
• If a major event is close, cut leverage and wait for the post-print candle before restoring normal risk.

A simple same-day decision sequence

1. Identify the regime: trend, range, or chop.
2. Check volatility and size from ATR, not from habit.
3. Choose the exit model before the order is sent.
4. Check the calendar for scheduled risk.
5. Let the bot execute without changing the plan mid-trade.

If you want to test that process on live rules without handing over control too early, open your XT account and try Hunter AI’s automatic trading bot in the mini-app first. Start small, then scale only after the checklist is doing its job.