Why I always blow up in trading: the brain and chasing losses

You don't blow up at the moment of a bad entry. The blow-up starts when the brain decides to rescue a trade that is already lost.

Price moves against the position, the stop gets closer, and an urgent-action mode switches on. You want to add size, push the stop farther, find one more argument for a reversal. It feels like you're fighting for money. More often you're fighting for the right not to admit the mistake.

I've seen a normal loss inside the plan turn into a problem because of one thought alone: “I'll just hold a bit longer.” That is usually where loss chasing begins.

Why the brain treats a loss as a threat

For the terminal, a minus is just a number. For a person it is a loss of money, control, and the feeling of being right.

The brain struggles to calmly accept a situation where an action didn't produce the expected result. It wants to fix something immediately. So after a move against the position, passively honoring the stop feels almost like weakness, and adding more size feels like a way to take control back.

This is where the conflict appears. A good trader sometimes needs to do nothing: let the stop close the trade and accept a small hit. Instinct pushes the opposite — amplify action exactly when the situation is already getting worse.

For me the best image is a prehistoric hunter. Prey runs away — he speeds up, spends more energy, keeps chasing, because quitting may mean hunger. But the market is not prey. The longer you chase a loss, the more capital you hand to a move that doesn't have to reverse for you.

That's why in the three trader roles the psychologist comes before the executor: first you need to notice that emotion is already making the decision, not the plan.

How loss chasing starts

It almost never looks like madness from the first second. It starts with a small concession to yourself.

Say a trader opens a SHORT on BTC from 68,000 with a stop at 68,500. Planned risk — 1% of the account. Price rises to 68,450, and instead of exiting he moves the stop to 68,800: “there's a stronger level there.” Then he adds another piece, because the entry now feels cheaper.

BTC reaches 69,200. The loss is already several times the original one, but closing feels even harder. A new goal appears in the head — not to make money, but to get out at breakeven at least.

Then the familiar script:

• the first stop is cancelled, because you don't want to lock in the mistake;
• size grows while the trade idea gets weaker;
• leverage speeds up the damage;
• every new minus makes exiting emotionally harder;
• the position closes not by plan, but when fear finally beats hope.

Leverage increases position size with exchange funds. It doesn't fix a bad entry. It only makes every move more visible and brings liquidation closer — a forced close when margin is no longer enough.

Averaging into a loser is not the same as a planned scale-in

Adding in parts is fine. But only if those parts were written before the first entry.

For example, a trader decides to build a LONG with three limit orders in a range and put one shared stop below the zone. He sized each piece so that a full fill still risks no more than 1% of the account. That's a planned scale-in.

Averaging into a loser looks different: a new piece appears after price already moved against the trade and the original scenario is breaking. Nobody recalculates total risk. The reason for adding doesn't sound like a system condition — it sounds like hope: “it went too far,” “it has to bounce,” “now the price is really good.”

I check myself with one question: was this extra entry written before the first piece opened? If not, for me it isn't position management — it's an emotional attempt to save it.

Why a small loss turns into revenge trading

Emotions rarely jump from calm to panic in one step. They build in stages.

First comes irritation: the trade didn't go as expected again. Then anger: the market somehow picked you off on purpose. After a big minus, revenge switches on — the urge to open a new position faster, raise leverage, and win it all back in one move.

At that moment the chart is only an excuse. The trader doesn't see the market — he sees a way to relieve internal pressure.

My main warning signal is hurry. If after a stop I want to find the next entry immediately, I don't try to analyze better. I close the terminal for at least a short pause, because decision quality has already dropped.

A trade journal should record more than price

A normal journal shows where the entry was and what the result was. That isn't enough if the problem repeats in behavior.

After a trade I would also write four things:

• state before entry: calm, tired, angry, fear of missing the move;
• the first emotion after price moved against the position;
• the thought that pushed you to change the stop or size;
• the action: the rule was kept or rewritten mid-trade.

A short example: “SHORT BTC 68,000, stop 68,500. Calm before entry. Near the stop I wanted to hold longer. Didn't move the stop. Result −1R.” R is a risk unit: if planned loss is $20, then −1R means −$20.

After a few weeks the journal starts showing repeating triggers. One trader averages into losers after two green days because he feels invincible. Another breaks the stop only in the last trade of the evening, when he wants to finish green. With a concrete trigger you can already work.

In your profile you can review all your BingX trades through my internal journal — without copying them by hand from the exchange. The facts are already there; you just add the emotion, the thought at the stop, and whether a rule was broken.

Which limits stop the chase

Willpower inside an open position is unreliable. You need rules that fire before emotions do.

A practical minimum looks like this:

• risk per trade — a fixed share of the account, for example 0.5–1%;
• daily loss limit — 1–2%, then trading stops;
• after two losing trades in a row — a mandatory pause;
• adding to a loser only as part of a written plan;
• the stop must not be moved farther from the invalidation point.

Test reactions in stages: demo first, then tiny real size, and only then working size. Demo shows technical mistakes. A minimal live account shows real emotions, but the tuition stays controlled.

I don't try to beat my own brain in every trade. I build a process where it has fewer ways to steal the decision from me.