01 /
Trading or investing: decide which game you're playing
Before you open a chart, answer the question almost everyone skips: do you want to trade or do you want to invest? Trading means buying and selling to capture price moves over short or medium time frames, with entry, exit and stop defined in advance. Investing means buying something you believe will be worth more in a few years and holding it in the meantime, including when it drops. You can do both with Bitcoin. What doesn't work is mixing them on the fly: going in “for a quick trade” and, when it goes wrong, deciding it was a long-term investment all along.
In “Trading vs Invertir en Bitcoin” I compare the good and the bad of each path with 2026 data: why most traders lose money, what swing trading is, why higher time frames are more reliable and the stat about the five days that decided Bitcoin's whole year. Also the trap many investors fall into. At the end I explain what I do with my own money.
Chapters (7)
A quick way to tell where you fit. If you can't watch a chart for hours without your blood pressure rising, if that money has a deadline (a down payment on a home, say) or if a 30% drop would keep you up at night, active trading probably isn't for you right now. That's fine. Doing less, with a simple plan, usually brings fewer headaches than trading every day.
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Scalping, day trading, swing and position trading: what really changes
Trading styles differ mainly in how long you hold a position, and that changes everything: the hours you spend in front of a screen, how much fees weigh and how much noise there is in the price. The crypto market never closes, not at night and not on weekends, so the temptation to always be in a trade is huge.
Scalping is the style most people want to try and the one with the least room for error. With small profit targets, fees and the spread eat a huge share of every winning trade, and you have to decide fast, many times a day. In “La Mejor Estrategia de Scalping para Principiantes en 2026” I teach a mechanical system, which I call “The Edgy System”, from the basic setup to the first trade. Mechanical is the key word: fixed rules that don't depend on what mood you woke up in.
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RSI, divergences, MACD and candlesticks: what each one measures
Indicators don't see the future. They're calculations on past prices (and sometimes volume) that organize something your eyes could already see. Knowing exactly what each one computes saves you half of the classic mistakes.
RSI: the speed of price, not whether it's expensive
The RSI (relative strength index) was published by J. Welles Wilder in 1978. It compares the average size of up closes with the average size of down closes over the last periods, usually 14: RS = average gain / average loss, and RSI = 100 − 100 / (1 + RS). The result runs from 0 to 100. If gains and losses weigh the same, you get 50; above 70 is called overbought and below 30, oversold. What it measures is momentum, the strength and speed of the move. In a powerful uptrend the RSI can spend weeks above 70, and selling just because of that is an elegant way to miss the rally.
The most useful thing about the RSI is divergences. A bearish divergence happens when price makes a higher high and the RSI a lower high: price rises, but with less force. A bullish divergence is the opposite: price makes a lower low and the RSI a higher low. Don't treat them as a magic signal. Analyst Andrew Cardwell observed that bearish divergence tends to show up inside uptrends and often brings only a brief pullback, not a trend reversal. That's why it pays to wait for price itself to confirm.
When the divergence repeats, with two price highs that keep getting higher and an RSI that keeps getting lower, the exhaustion signal gains weight, and it's worth watching what happens at the top of the move. If you want to see RSI on a real case, in “BTC en peligro… ¿caída final o reversión explosiva?” (BTC in danger: final drop or explosive reversal?, November 23, 2025) I combine it with MACD, the death cross and moving averages in a single analysis. It's a dated video: treat it as an example of method, not as a live forecast.
MACD: trend and momentum, with built-in lag
The MACD was created by Gerald Appel in the late 1970s. The MACD line is the difference between a fast and a slow exponential moving average (12 and 26 periods are standard); the signal line is a 9-period average of that difference, and the histogram shows the gap between the two. Since everything comes from moving averages, it is a lagging indicator: it confirms trends that have already started and, in sideways markets, throws out false signals one after another.
In “Especulando con MACD” I use the indicator to lay out scenarios for BTC, ETH, LINK, AAVE and ONDO: what would happen if the MACD confirms the move and what happens if it's fully invalidated. It's an analysis from November 2025, so take it as an example of method, not as a current forecast.
Japanese candlesticks: four prices in one drawing
Each candle sums up a period with four data points: open, close, high and low. The body runs from open to close and the wicks show how far price reached. Tradition credits the Japanese rice merchant Munehisa Homma with candlesticks in the 18th century, although Steve Nison, who popularized them in the West with a 1991 book, later wrote that they probably date from the late 1800s. Even the history of candlesticks has its share of legend. And pattern recognition is subjective: a hammer or an engulfing candle means little out of context (support, resistance, trend, volume).
In “3 patrones de velas que predicen si sube o baja el precio” I explain the anatomy of a candle and the three patterns I use. Reading candles isn't guessing: it's understanding who won the fight in that period, buyers or sellers.
If you want the full foundation, the technical analysis guide goes step by step, from support and resistance to indicators.
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Risk management: the boring part that keeps you in the game
You can win half your trades and lose money, or win only a third and make money. The difference is how much you lose when you're wrong compared with how much you make when you're right. That's why risk management comes before any indicator, and why almost nobody teaches it: it doesn't look good in a thumbnail.
- 01
Decide how much you risk per trade
Many traders use a rule of thumb of risking no more than 1% of the account on a single trade. It's not a law; it's a brake. At 1%, ten losses in a row leave you with a bit over 90% of the account.
- 02
Put the stop where the idea stops being valid
A stop-loss doesn't go where “it hurts”, but at the price that proves you were wrong: below a support, above a resistance. If that point is too far away, that trade isn't for you.
- 03
Calculate your position size
Size = money at risk / distance to the stop. With a €2,000 account, 1% risk is €20; if the stop is 5% from the entry, the position is €400, not €2,000.
- 04
Demand a risk/reward ratio that pays off
If you risk €100 to make €200, the ratio is 1:2. The better it is, the less often you need to be right to break even.
- 05
Write everything down in a journal
Date, asset, reason for entry, stop, target, result and how you felt. Once you hit 50 trades, the journal tells you more about yourself than any course.
The minimum win rate formula is simple: 1 / (1 + R), where R is what you make for every euro you risk. Now subtract fees, spread and slippage, and you'll see why scalping with tiny targets is so demanding. The risk management guide goes into it in depth.
05 /
Leverage and liquidation, with numbers
Using leverage means trading with more money than you put in. You provide margin and the platform lets you open a position several times larger. Gains get multiplied, yes. So do losses, and they come with an unforgiving limit: when your losses approach your margin, the platform closes the position for you. That's liquidation.
An illustrative example. You put up €1,000 of margin at 10x leverage and open a €10,000 long position in Bitcoin. If the price drops 5%, you lose €500, half your margin. If it drops 10%, you lose the full €1,000. Without leverage, that same 10% drop on €1,000 would have cost you €100 and you'd still be in the trade, waiting to see if you were right.
Look at the last row. At 100x, a 1% move against you, something Bitcoin can do in minutes, takes you to zero. The market doesn't need to crash; one wick is enough. And once you're liquidated, it doesn't matter if the price turns your way afterwards: you're out.
European regulators have been warning about this for years. In 2018, ESMA reported that 74% to 89% of retail accounts lose money on CFDs, with average losses per client of €1,600 to €29,000, and capped leverage for retail clients: 30:1 on major currency pairs and 2:1 on cryptocurrencies, with a mandatory close-out at 50% of required margin and negative balance protection (ESMA). Spain's securities regulator, the CNMV, kept those measures in 2019 and went further in July 2023: it banned CFD advertising aimed at retail clients and extended the leverage caps and the 50% close-out to futures and options (resolution in the BOE, in Spanish).
Leverage is the factor that contributes most to many retail clients who invest in these instruments taking on risks that are not properly assessed and that end up materializing as losses.
74–89%
of retail accounts lose money on CFDs (ESMA, 2018)
2:1
maximum leverage on crypto CFDs for retail clients (ESMA 2018, CNMV 2019)
97%
of persistent day traders lost money (Brazil, 2013-2015)
Those rules bind firms authorized to provide investment services in Spain. If a platform offers you a much bigger multiplier in two clicks, ask which company is behind it and who supervises it; the MiCA regulation guide explains how to check the register. Being offered it doesn't make it a good idea: it means the limit is yours to set.
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DCA: for people who don't want to live glued to a chart
DCA (dollar cost averaging, or periodic buying) means investing the same amount at regular intervals, whatever the price does. The term is credited to Benjamin Graham, who described it in The Intelligent Investor (1949): with a fixed amount you buy more units when the price is low and fewer when it's high, which smooths out your average price.
In “Qué es el DCA en Criptomonedas y Cómo Hacerlo” I explain how it works and how to set it up step by step to automate your purchases, without staring at the chart all day or being a trading expert.
What DCA doesn't do needs saying too. It doesn't guarantee buying cheap: if the price rises nonstop, going all in at the start would have done better. And if an asset falls for years and never comes back, DCA loses as well, just more slowly. What it buys you is something else: discipline and not depending on perfect timing. I sum it up in one idea: almost nobody catches the bottom, and with periodic buys you buy the dips and you're already in when the rallies come. In “No compres Altcoins todavía... Espera a ESTA zona” (don't buy altcoins yet, wait for this zone, February 10, 2026) I applied that logic to staggered buy zones for LINK, ONDO, BNB, ETH and BTC; it's a dated video, so focus on the method, not the levels.
If you're deciding where to put that long-term money, in “Bitcoin vs S&P 500” I compare the two honestly. One is the steadier bet; the other, the best-performing asset of the past decade, but far more volatile. The good and the bad of each and, at the end, what I would do. There's more detail in the Bitcoin DCA guide, and if you live in Spain or elsewhere in the EU, the exchanges section covers the MiCA-licensed platforms where you can set up those purchases.
Chapters (5)
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Strategies and balance screenshots: how to watch them without fooling yourself
In “Cómo ganar dinero con criptomonedas en 2026: 3 estrategias reales” I explain three ways to grow your money with crypto, step by step, and the traps that ruin most people. No promises of getting rich overnight, because that doesn't exist.
Chapters (4)
Whether it's mine or anyone else's, run every strategy through this filter before you risk a single euro:
- Where is the edge? If you can't explain why it should work, it probably worked by chance.
- How much does it cost to run? Fees, spread and slippage, multiplied by the number of trades.
- What was the worst streak? The maximum drawdown tells you whether you could stick with it without bailing halfway.
- How many trades was it tested on? Ten good trades are an anecdote, not a statistic.
- Who profits if you follow it? If someone charges for the course or earns from your deposits, factor that in.
That last point isn't paranoia. In its infographic on types of scams, the CNMV lists “funded” trading accounts tied to training courses: paying for the course is, in many cases, a scam, and that activity falls outside its supervision. Before paying for training, read the crypto scams guide.
And when someone shows you their live account or a balance screenshot, remember it's a snapshot: it doesn't tell you how much was deposited, how much was risked or which accounts aren't shown. An account that goes from €500 to €2,000 may have grown on deposits, not on trades. Treat any account-tracking video as content, not as proof of returns or a signal to copy, and always separate what you deposit from what you earn, in your own account too.
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Psychology: FOMO, revenge trading and buying when there's fear
Most accounts aren't blown up by a bad indicator; they're blown up by the trader's head. Four traps show up again and again, and it helps to name them so you recognize them when they appear.
- FOMO
- Fear of missing out. You see a huge green candle, jump in late with no plan, and buy right when the people who got in earlier are selling.
- Revenge trading
- After a loss, you open a bigger trade to “win it back”. It's the fastest way to turn a bad day into a bad week.
- Loss aversion
- According to Kahneman and Tversky's prospect theory, a loss weighs roughly twice as much as an equivalent gain. That's why people move their stop to avoid closing in the red.
- Disposition effect
- The tendency to sell winners too early and hold losers too long. Exactly the opposite of what a good plan calls for.
I speak from experience here: in “Si empezara en cripto con 20 años haría esto” (if I started crypto at 20, I'd do this) I name gambling as my big mistake when I started out. The line between trading with a plan and placing bets is exactly the one these four traps draw.
Chapters (4)
Then there's the idea behind one of my video titles: big fortunes aren't built in euphoria but in the moments almost nobody wants to live through, with fear, crashes and pessimism. Warren Buffett put it in writing in his 1986 letter to shareholders: “we simply attempt to be fearful when others are greedy and to be greedy only when others are fearful.”
Most people buy when everything is going up and sell scared to death when everything is falling. They buy high, sell low, and then wonder why they never make money.
Buying in fear doesn't mean buying everything that drops: some assets fall and never come back. It means having your plan ready before the panic arrives, with amounts and levels decided with a cool head. In the video I explain why your brain betrays you at exactly those moments, why history repeats itself and how to apply it without losing your mind.
Chapters (6)
- If you close two losing trades in a row, turn off the screen until tomorrow.
- Write the plan (entry, stop and target) before you enter, never after.
- No increasing your size to win back what you lost.
- Review your journal every week: emotional mistakes repeat themselves, and they have names.
09 /
Where to go next
If you're new, start with the beginner videos and leave active trading for when you have the basics down. If you already trade, these are the logical next steps:
And before you make a hundred trades a month, check out the guide to crypto taxes in Spain: trading has a tax side too, and you'll want to know it before filing season comes around.