Trading Psychology · Lesson 17 · Beginner
Why You Lost: the 8 Causes
You honestly diagnose which of the eight typical causes cost you your account, and for each one you know which lesson fixes it.
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Diagnosis first, then therapy
You lost money, and you want to understand why. Good. The honest news first: the majority of leveraged retail day traders lose, that is the norm. The second piece of news is better. Almost every loss can be traced back to a small number of concrete behavior patterns, and all of them are fixable.
Elder says: the first step is to take responsibility for your own losses. Not as self-reproach, but because that is the only way you have something to learn. Whoever blames the market, the broker or the whale repeats the mistake endlessly. Go through the following eight causes honestly and mark the ones you recognize in yourself.
1. Overtrading and revenge trades
How you spot it: you make more trades on bad days than on good ones. After a loss you want to win it back immediately and click the next trade without waiting for a clean setup. You sit at the screen all day looking for action.
What is behind it: the study Trading Is Hazardous to Your Wealth shows that the most active traders had the worst results. Fees, slippage and funding tilt the field further against you with every click. After a loss the next trade becomes pain avoidance instead of an opportunity. Fixed in: Tilt and Revenge Trading, Overconfidence and Overtrading.
2. Position too large and too much leverage
How you spot it: at entry you first chose the leverage (10x, 25x), not the loss. A single trade could move your account noticeably. Every counter-move made you queasy.
What is behind it: the classic thinking error. Leverage does not determine your position size, it only determines the bound margin and the distance to liquidation. A position that is too large turns every decision into panic, because the maximum loss no longer feels irrelevant. Fixed in: Leverage Exposed, Position Sizing from a Psychology View.
3. No stop
How you spot it: you went into trades without a hard stop set in advance, or only with a mental stop in your head. A trade once ran deep into the red because you had no order in the market.
What is behind it: without a stop placed in the market you become a passive loser. The 24/7 crypto market takes everything and more from you even at night, you have to do nothing for it. A trade without entry, stop and invalidation is not a trade, it is a gamble. Fixed in: The Stop, Where and Why, and the Blacklist.
4. Moving the stop
How you spot it: you had a stop, but when the price reached it you dragged it further away, because the market is surely about to turn. A planned loss of 1R became 3R or 5R.
What is behind it: loss aversion. Realizing the loss hurts twice as much as an equally large gain pleases, so you avoid realizing it. Douglas's case study Bob shows: setting a stop does not yet mean you have accepted the risk. Fixed in: Disposition Effect, Accepting Risk.
5. Averaging down into a loss
How you spot it: when the position ran into the red, you bought more to lower your average entry. The trade felt like a deal, because now it was cheaper.
What is behind it: averaging down turns a limited loss into a potentially unlimited one and with leverage it is the most direct path to liquidation. It is sunk-cost thinking: you do not want to admit that the first decision was wrong. Jones's first rule is not for nothing: Don't ever average losers. Fixed in: the Blacklist, Disposition Effect.
6. FOMO entries
How you spot it: you jumped after a green candle, a Discord call or a viral post and got in too late at the top. Right after your entry it turned.
What is behind it: System 1 reacts to the stimulus before System 2 checks whether the setup is even valid. Fear of missing out leads to jumping the gun. A 100x you just saw feels more likely than it is. Fixed in: System 1 vs System 2, The Four Fears.
7. No edge and no system
How you spot it: you cannot describe your setup in one sentence. After every losing streak you switched systems or added a new indicator. Every trade looked different.
What is behind it: without a clearly defined, tested edge and without a fixed series you cannot even measure whether something works. Twitter, funding and a second indicator only add random variables. An edge is only a higher probability over many trades, not a sure single trade. Fixed in: The Five Truths, Randomness and Edge, The Trade as an Option.
8. Ignoring the market phase
How you spot it: you went long while everything was falling, or bought against a clear trend because it looked cheap. You ran the same tactic in every market condition.
What is behind it: trend and range demand opposite tactics, and in crypto almost everything hangs on BTC. In a crash correlations go to 1, your alts fall together. Whoever ignores the overriding direction trades against the crowd exactly when it is right. Fixed in: Correlation, and the technical analysis lessons on trend and market phases.
How the causes chain into a single evening
Interactive exercise: here you learn right on the chart, with feedback on every click. Sign up freeto start it.
Test yourself
A big loss just happened. What is the healthy reaction?
- Screen off, take a break, write down later in the journal what happened
- Make the next trade right away to win it back
- Increase the position size to catch up faster
A trade is running against you toward the stop. What is the right way to handle it?
- Let the stop trigger and take the loss at 1R
- Drag the stop away, it will surely turn soon
- Just let it run without a stop in the market
What is the only good reason to enter a trade?
- My defined setup is there, written down beforehand
- The coin is pumping right now and I don't want to watch
- Someone in a group posted the call
How do you best handle setups over the next three months?
- One setup, always the same, documented in the journal
- Switch the system after every losing streak
- Decide situationally, every trade may look different
Sign up free for the answers with an explanation for each option.
The key points at a glance
- Almost every blow-up can be traced back to a handful of recurring behavior patterns.
- Losses are a diagnostic signal, not bad luck and not a verdict on your character.
- Once you know your two or three main causes, you know exactly where to start.
Deep dive
Why does the majority of leveraged day traders lose money?
Kahneman's outside view does not ask 'how good am I', it asks how the typical cohort fares. The answer is uncomfortable: the majority loses, that is the statistical norm.
- Barber and Odean: the most active traders had the worst results
- Every click tips fees, spread and, in crypto, funding against you
- Competition neglect: across from you sit market makers, desks and algos
- Optimistic bias projects 5 percent per day and blocks out the drawdowns
Why losses are a diagnostic signal, not a verdict on your character
Elder puts responsibility first: only if the loss was your decision do you have something to change. Whoever blames the market, the broker or a whale hands over control and repeats the mistake.
Don't confuse outcome with process. Because the feedback is misleading, you diagnose across many trades, not across the last red day. So don't tick just one of the 8 causes, tick all that apply.
How to prioritize your problem areas
Rank the 8 causes by size of damage, not by frequency. A single blow-up weighs more than 20 small, clean losses. Test every fix without capital risk on the demo exchange until the behavior sticks.
- Ruin causes first: no stop, adding to a losing position, position too large
- Frequency causes: overtrading, revenge trades and FOMO entries bleed you out
- Structure causes: no edge and an ignored market phase
- Without an edge you can't even measure whether something works
1R = your risk unit: the loss you have planned per trade (distance from entry to stop-loss). +2R means: you won twice as much as you risked.
Sources: Douglas (Trading in the Zone), Kahneman (Thinking, Fast and Slow), Elder (The New Trading for a Living), Schwager (Market Wizards), Taleb (Antifragile)
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