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First: are you investing or trading?
It sounds like a crypto 101 question, but it changes every rule. Investing means buying to hold for years and controlling risk through how much you put in and how you spread it. Trading means opening and closing positions to catch moves over days, hours or minutes, and there risk is managed trade by trade. Mixing the two without noticing, like the trade that “becomes long-term” because it's underwater, is one of the fastest ways to wreck an account.
The data doesn't encourage the amateur trader. Studies gathered by European supervisors on CFDs found that 74% to 89% of retail accounts lose money, as ESMA set out when it restricted CFDs for retail investors in 2018, measures the CNMV applied in Spain in 2019. And a study of day traders in Brazil's futures market (Chague, De-Losso and Giovannetti) followed everyone who started between 2013 and 2015 and stuck with it for at least 300 days: 97% lost money.
In “Trading vs Invertir en Bitcoin” (trading vs investing in Bitcoin) I compare the pros and cons of each path with 2026 data: why most traders lose money, what swing trading is and why higher timeframes are more reliable, the stat about the five days that decided Bitcoin's whole year, and the trap investors fall into. That Brazil study is among the video's sources.
Chapters (7)
This guide works for both, but mostly for people who trade. If you only want to accumulate, your tools are allocation and a plan: you'll find them in how to start in crypto from zero and in the Bitcoin DCA guide.
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Position sizing: the 1–2% rule
The most repeated rule in risk management is also the most misunderstood. Risking 1% per trade doesn't mean investing 1% of your account. It means that if your stop-loss gets hit, you lose at most 1% of your capital. Position size comes from that, not the other way around.
An example with round numbers, and it's only that, an example. You have 5,000 euros and decide to risk 1%, which is 50 euros. Your analysis says the idea stops working if the price falls 4% from your entry. So 50 ÷ 0.04 = 1,250 euros of position. With the stop 2% away you could open 2,500 euros while risking the same, and risking 2% with the stop at 4% also gives you 2,500. The stop gives the orders; the size follows them.
Why so little? Because losing streaks happen to everyone. If every trade were independent, with a 40% win rate the probability of chaining at least eight losses in a row somewhere in 200 trades would be around 75%. Here's what your account looks like after ten straight losses, depending on what you risk on each one:
At 1% you survive a horrible streak with a scratch. At 10%, the same streak leaves you needing to almost triple what you have left. That's the difference between the trader who stays in the game and the one telling war stories.
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Stop-loss: put it where your idea stops making sense
A stop-loss isn't what you feel like losing. It's the point where your reason for entering is invalidated. If you buy because the price is bouncing off support, invalidation sits below that support, not at a 3% you picked because it's a nice round number. First you decide where invalidation is; then you size the position so that, if the stop is hit, you lose your 1% or 2%.
Support, resistance and market structure are explained in the technical analysis guide. These are the stop mistakes that take out the most accounts:
- A stop that's too tight, buried inside the price's normal noise. It knocks you out again and again right before the price goes where you said it would.
- Moving the stop further away as the price gets close. “Giving it room” turns a small, planned loss into a big, unplanned one.
- The mental stop. It works until the day you need it most, which tends to be the day you can't look at the screen.
- Mixing up order types. A stop-market order almost always fills, though with slippage in a crash; a stop-limit order fixes the price, but it may never fill if the market gaps straight through it.
- No stop because “it's long-term”. If it's an investment, you control risk with size. If it's a trade, it needs an exit.
In “La Mejor Estrategia de Scalping para Principiantes” (the best scalping strategy for beginners) there's a block on risk management to protect your capital, the key to not blowing up the account. Be careful with scalping: on 1- and 5-minute charts, fees and noise weigh far more, so every sizing or stop mistake costs you sooner.
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Risk/reward, win rate and expectancy
Measure every trade in R, the amount you risk. If you risk 50 euros, 1R is 50 euros and a 100-euro target is 2R. That lets you compare trades of different sizes and, above all, do the math that matters: how much you make or lose per trade on average.
Example: you win 40% of the time and your average win is 2R. E = 0.40 × 2 − 0.60 × 1 = +0.2R per trade. If fees eat 0.1R on average, you're left with +0.1R: at 50 euros per R, about 5 euros per trade. Nothing spectacular, and that's exactly why it's believable.
The counterexample is the one that fools people most. You win 60% of the time, but you cut winners at 0.5R and let losers run to 1R: E = 0.60 × 0.5 − 0.40 × 1 = −0.1R. You win most of the time and still lose money. Win rate on its own tells you nothing.
Two warnings. A high ratio is useless if the target is unrealistic and the price almost never gets there. And the win rate that counts is the one in your journal, not an eyeballed backtest: with 20 trades you know nothing; with a hundred, you start to have something.
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Leverage and liquidation, with numbers
Leverage doesn't multiply your skill: it multiplies your exposure. With 1,000 euros of margin at 10x you control a 10,000-euro position, so a 1% move against you is 100 euros, 10% of your margin. Liquidation comes when losses eat through your margin down to what the platform requires as maintenance.
A simplified example of a long position on isolated margin, with a 0.5% maintenance margin and leaving out fees and funding: the liquidation price lands at roughly entry × (1 − 1/leverage + 0.005). At 10x, that's a drop of about 9.5%.
European regulators reached the same conclusion through the data. For retail clients trading CFDs, ESMA, and then the CNMV in Spain, capped leverage on cryptocurrencies at 2:1, required positions to be closed when margin falls to 50% of the initial amount (at 2:1, that happens after a move of about 25% against you) and made sure nobody can lose more than they deposited. In 2023 the CNMV also banned CFD advertising aimed at retail clients and extended those limits to other leveraged products. But those rules bind firms that provide investment services: some crypto platforms offer far higher leverage outside that perimeter.
The trading videos section has specific strategies. Always run them through this math before you risk a single euro.
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Portfolio risk: allocation, correlation and stablecoins
You can do everything right trade by trade and still have a badly built portfolio. Ask yourself three questions:
- What share of your net worth is in crypto? Set a written maximum based on what you can afford to lose, and rebalance when the market pushes you past it. Within crypto, separate your core from your speculation and cap each small position.
- Do your positions move together? In its May 2025 financial stability review, the ECB notes that Bitcoin's returns are closely tied to those of risky assets, which is why it has added little diversification to a stock portfolio. Within crypto, be wary of fake diversification: ten altcoins are not ten independent bets if they all depend on the same market and the same mood.
- Where is the money? A platform can go bust: FTX filed for bankruptcy in November 2022 and its customers were left unable to get their deposits back. Since July 1, 2026, only MiCA-authorized providers may operate in Spain, and they must keep your crypto separate from their own assets, but no guarantee fund covers you. Stick to authorized platforms (how to check is in the MiCA regulation guide), spread out your custody and, for long-term savings, consider a cold wallet. Everything about protecting your keys lives in the security section.
Stablecoins deserve their own paragraph, because many people treat them as the safe part of the portfolio. They carry at least three risks. Losing the peg: TerraUSD started breaking it on May 9, 2022, and within a week it was worth about 10 cents. The issuer or its reserves failing. And regulation: in January 2025, ESMA asked EU platforms to stop offering stablecoins that don't comply with MiCA, with a deadline that ran out at the end of the first quarter of that year. If you park money in one, find out who issues it and whether it's authorized.
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The math of drawdowns
Losses and gains aren't symmetrical. If you lose 50%, a 50% gain isn't enough: you need 100% to get back to where you started. The deeper the fall, the steeper the climb back:
Bitcoin went from about $19,800 in December 2017 to under $3,300 a year later: a drop of more than 80% that called for a gain of around 500% just to recover. That's why risk management is about avoiding deep drawdowns, not nailing the top. How those drops fit into market cycles is covered in the cycles and halving guide.
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Exit plan: decide in advance when to sell
Planning the entry is the easy part; the exit is what almost never gets written down. In “¿DEBES SALIRTE AHORA?” (should you get out now?), from November 2025, I ask myself that question in the heat of the moment: whether it made sense to take partial profits on a bounce toward $108,000 and which levels would invalidate that bounce. That's the mindset: the market doesn't go up forever, and the exit gets planned before you need it.
An exit plan doesn't have to be complicated, but it does have to be written before the price moves. These approaches can be combined:
- Selling in tranches. Selling a fixed portion at levels set in advance, for example a fifth at each one. You won't sell the exact top, but you won't give it all back either.
- Rebalancing. If crypto rises above the maximum share of your net worth you set, you sell the excess.
- A trailing stop for trades: it moves up with the price and never moves down.
- Taking out your initial capital after a strong rally, so that what stays in play is profit.
- Exit on invalidation. If the reason you bought changes, you sell even if the price hasn't reached your level.
In Spain every sale at a gain is taxed in the savings base, so your exit plan is also a tax plan: it's explained in the crypto taxes in Spain guide.
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Psychology: FOMO, FUD, loss aversion and revenge trading
Your brain doesn't come wired for trading. Daniel Kahneman and Amos Tversky showed as much with prospect theory, published in Econometrica in 1979 and one of the foundations of the economics prize Kahneman received in 2002. According to the prize documentation from the Royal Swedish Academy of Sciences, people are more averse to a loss than attracted to a gain of the same size: Tversky and Kahneman estimated in 1992 that a moderate loss weighs roughly twice as much as an equivalent gain. With small stakes, most people would rather stay put than take a fifty-fifty bet to win 12 dollars or lose 10.
In practice, that explains behavior any trader will recognize: selling winners fast to “lock it in” and holding losers in the hope of getting back to even, the so-called disposition effect; moving the stop away so the loss never becomes real; or doubling down to win it all back in one go. These aren't character flaws. They're biases, and you fight them with rules written before you trade, not with willpower.
FOMO (fear of missing out) is buying because it looks like everyone is making money and you're missing out. Data from the Bank for International Settlements shows how often small investors end up on the wrong foot: after the Terra/Luna collapse and the FTX bankruptcy, large, sophisticated investors were selling while smaller ones were buying, and with data from 2015 to 2022, most crypto app users lost money on their bitcoin. In the description of “Aún es pronto ¡Que no te engañen!” (it's still early, don't be fooled) I put it in writing: “don't let FOMO cloud your strategy; patience is the key in crypto trading” (translated from Spanish).
FUD (fear, uncertainty and doubt) is the opposite: fear and doubt, often amplified on social media, that push you to sell at the worst possible moment. In “Aquí es donde se crean los millonarios” (this is where millionaires are made) I explain why most people buy when everything is going up and sell scared to death when everything falls, why your brain betrays you, and how to do the opposite without losing your mind. There's a chapter on “the Buffett quote that sums it all up”; one of Buffett's best-known lines on fear and greed comes from his 1986 letter to shareholders:
“We simply attempt to be fearful when others are greedy and to be greedy only when others are fearful.”
Chapters (6)
Two traps have no Nobel prize to their name, but they empty accounts all the same. Revenge trading is opening another, bigger trade right after a loss to “win it back”. Overtrading is trading out of boredom or habit, when your plan hasn't actually been triggered. Both get cut off the same way: with a daily loss limit and a rule that you get up from the screen when you hit it.
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Trading journal, pre-trade checklist and when to stop
What you don't write down, you can't fix. A trading journal is the only reliable source for your win rate, your average R and your repeated mistakes. At a minimum, log this for every trade:
- Date, asset, direction (buy or sell) and timeframe.
- Entry reason according to your plan, and the invalidation point.
- Entry, stop, target, size and risk in euros and in R.
- Result in R, fees included, plus a screenshot of the chart.
- Your state of mind: whether you slept badly, whether you were coming off a loss, whether you got in on FOMO. This column teaches you the most.
Checklist before every trade
- 01
Is it in my plan?
If the entry reason wasn't written down before you opened today's chart, it's not a setup: it's a hunch.
- 02
Where am I wrong?
Mark the invalidation on the chart before you think about what you'll make.
- 03
How much do I lose if it's hit?
Size the position so the stop costs you at most your 1–2% of capital.
- 04
Is it worth it?
Check that a realistic target gives you a ratio that fits your real win rate.
- 05
What else do I have open?
If you already hold three positions that move together, the fourth doesn't diversify: it multiplies the same risk.
- 06
Is an event coming up?
Macro data, rate decisions or project news can jump right over your stop with slippage.
- 07
How am I doing?
If you're coming off a loss, or you're angry or euphoric, don't trade. If the answer is “I need to win it back”, even less so.
- 08
Have I logged it?
Record the trade before you place it. If you don't have time to write it down, you haven't had time to think it through either.
When to stop
Stopping rules are written in cold blood, because in the heat of the moment nobody stops. Here are some common ones, with example figures you should adapt to your own account:
- Daily limit. If you lose 3R in a day, you're done for the day.
- Drawdown limit. If the account falls 10% from its peak, you stop for a week and review your journal before coming back.
- The rule about rules. If you break your own plan twice in one session, you close the platform, even if you're up.
- Real life. Fatigue, personal problems or money you'll need soon are more than enough reasons not to trade.
- The final warning. If after a hundred logged trades your expectancy is still negative, it isn't bad luck. Go back to a demo account or to a regular buying plan.
None of this guarantees you'll win. It only makes it more likely that you'll stay in the game long enough to learn. Read this site's risk warning too. This is NOT financial advice: always do your own research.
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