Most traders wait for the number. I want a plan before it hits. Over a stretch of about two weeks I traded around NFP, PPI, ISM, JPY volatility, Nasdaq, Bitcoin, Solana, and gold. The point was not to call every candle. It was to know what the market was waiting for, how a surprise could move it, and where I wanted to be if volatility showed up. The sequence I use is simple: Calendar → expectations → scenario → level → invalidation. 1. Start with the calendar Before I look for an entry, I look at the week. NFP. CPI. PPI. ISM. Jobless claims. Central-bank decisions. Treasury auctions. Geopolitics. I do not want to discover a major release after I am already in a position. I want to know when the market has a reason to move. The print itself is not enough. Markets trade actual versus expected. A “good” number can still sell off if it was supposed to be better. The surprise is what creates the volume. I also do not treat every event the same way. There are three different jobs: Position before the event — you have a thesis and you accept event risk.Trade the reaction — you wait to see how price responds, then participate.Trade the volatility — you are not married to one direction; you are prepared for a large enough move and a level you can manage. The trades below are examples of those three jobs. Not every winner belongs in one combined scorecard. 2. Nasdaq Short — August 31 Building a scenario before the labor data The first setup came from the backdrop, not from a single headline. Brent was making higher highs and higher lows. DXY looked ready to firm after a pullback. The market was opening after Jackson Hole. Labor data was ahead. That mix made a Nasdaq short interesting. Price was around 29,400–29,420, with a level near 29,397 and lower support around 29,352. I shorted there and treated a move against the thesis as invalidation. At one point I moved the stop to entry. I do not have a final PnL in my records, so I am not going to invent one. What the trade is useful for is the timing. The release does not have to happen first. You can build the scenario days ahead and let price action decide whether the market gives you a location. 3. JPY + ISM — Trading the Volatility Trading the volatility, not the guess A few days later the focus shifted to Japan and US services data. USD/JPY had already been violent: from above 160 toward 158.75, then later from around 160.40 toward 156.50. ISM Services printed 55.4 against an expectation near 54.3. I was not trying to nail the ISM print. I was trading the fact that the event could produce a reaction I could manage. The positions from that day were small and documented: roughly $200 in total, with individual tickets around +$47 and +$75. That is a different question from “the number will be X, so price must go Y.” The question was: can this event create a move large enough to trade, with risk I have already defined? 4. The NFP Trade — BTC, SOL, Gold & Nasdaq The number was wrong. The process still worked. This was the main lesson of the period. Before the release I built a basket: Bitcoin, Solana, gold, and Nasdaq. The idea was to be in position before the print rather than chase the first candle after it. Approximate results from the posts: Nasdaq: +$119SOL: +$140Gold: +$175BTC: +$185 About $600 in total. The four names were not a single identical bet. Soft labor can ease rate expectations, weigh on the dollar, and support gold. Risk assets can catch the liquidity and the first directional impulse around the print. I wanted participation in that event-move, with risk split across expressions instead of one all-in ticker. If one leg failed the thesis, I still wanted a defined exit on each name. I did not treat them as one fused position. Now the honest part. The payrolls number was not what I had described beforehand. It came in at +55K versus +162K expected. I am not going to pretend I predicted the data. I didn’t. The trade still worked because I had a scenario, an invalidation, defined risk, and a plan for the reaction. The market produced a sharp move. I was already in it. That is a different activity from inventing a strategy five seconds after the candle has gone. 5. The PPI Trade — Preparing Before the Number A directional thesis, placed before the print Then came inflation. I was leaning hotter based on the macro picture I had been following: Hotter inflation → more pressure on yields and Fed expectations → downside pressure on risk. I positioned before the release. One SOL short was opened around 104.52; price later traded near 101.30, about +33.9% on that position. I also traded an XAUT short (about +$302) and BTC with 25x (about +$371). The posts put the PPI set of trades around +$600. PPI printed 5.4% YoY versus 5.3% expected. That is a small beat, not a shock. I am not going to dress it up as a perfect call. It did land on the hotter side of what the market was holding, which was the side I had prepared for. This is the version of macro I actually like. Not staring at a random candle. Asking: What is the market waiting for?What happens if the data is hotter?What happens if it is cooler?Where am I wrong? 6. What I will not do with the scorecard After PPI I kept trading the same environment. One later position made about +$609 as price moved from around 2,618 toward 2,554. A separate XAUT short from about 4,385.8 to 4,347.3 made about +$154. Those were different trades. I am not folding them into the PPI result to make one week look cleaner than it was. Track the tickets as they happened. Do not build a “perfect trade” out of unrelated fills. 7. The Framework 1. Find the catalyst. What can force a decision this week? NFP, CPI, PPI, ISM, BOJ, Fed, a Treasury auction. 2. Read the expectation, not just the number. The market prices the surprise. Consensus and positioning matter more than whether the headline “looks strong.” 3. Write two scenarios. Hotter/stronger. Cooler/weaker. Then sketch how BTC, SOL, gold, Nasdaq, DXY, yields, and FX could respond in each case. 4. Take the chart’s location, not the narrative’s. Macro is the reason to look. Price is the place to act. I do not short because CPI “might be hot.” I short where the risk is defined. 5. Decide invalidation in advance. If the thesis is wrong, I am out. Sometimes that is a tight stop. Sometimes it is stop-to-entry. Sometimes it is cutting size. The point is that the exit is chosen before the number forces an emotional one. 6. Do not overstay the news move. These trades can travel quickly. I do not need the entire candle. If the market pays the scenario, I take it. I was not running a stack of indicators. The stack was: Macro → liquidity → yields → DXY → expectations → price → risk. That is enough. 8. The lesson The lesson is not “macro works.” Most people see the sequence as: print → candle → “why is BTC dumping?” I want the questions asked earlier: What is expected? What would surprise? What happens if it does? Where is the entry? Where am I wrong? How much am I willing to lose? Some of the calls in this period were right. Some were not. The job is not to predict every release. The job is to already have a plan when the market starts moving. Don’t wait for the tape to explain what just happened. Study what it is waiting for. Then write the plan first.
jumperapp + A Merkl está recompensando usuários que trocam RWAs da Coinbase na Base.
Veja como se qualificar 👇
• Faça swap de pelo menos US$ 250 em RWAs elegíveis da Coinbase • Use apenas a página de RWA do Jumper • Conclua todas as tarefas necessárias • A missão termina em 21 de setembro
🎟️ O seu nível do Jumper Pass determina seus ingressos base.
E seu volume adiciona um multiplicador: US$ 250+ → 1x US$ 1K+ → 2x US$ 10K+ → 3x US$ 100K+ → 5x
40 vencedores × US$ 250 USDC = pool de prêmios de US$ 10K
Apenas jurisdições elegíveis.
Se você já está usando RWAs da Coinbase na Base, vale a pena conferir esta.
As pessoas ainda estão tratando a IA como uma tendência.
Elas não entendem o que realmente está acontecendo.
Estamos acompanhando a OpenAI, a Google, a Anthropic e a xAI competindo em um nível em que as empresas mais valiosas do mundo podem perder a liderança em IA e recuperá-la em questão de semanas.
Pense na escala dessa corrida:
🤖 Modelos melhorando em ritmo exponencial 🏗️ Centenas de bilhões fluindo para data centers ⚡ Demanda massiva por energia e computação 🖥️ Indústrias inteiras sendo reconstruídas em torno da infraestrutura de IA 💰 Trilhões de dólares esperados para serem investidos
Isso não é mais um aplicativo.
Isso não é mais um ciclo de hype tecnológico.
A IA está se tornando a camada de infraestrutura para a próxima geração da economia global.
É isso que estou fazendo enquanto os mercados estão fechados hoje:
> Tirar um tempo para sair um pouco, tocar na grama e limpar a mente > Treinar e fortalecer meu corpo > Fazer minhas tarefas diárias de airdrop para projetos diferentes > Criar conteúdo para o Youtube / X / comunidade no Discord
Como fiz US$600 negociando em apenas alguns minutos?
Não foi sorte.
Foi preparação, macro e execução.
Ao longo da semana, eu estava acompanhando os dados que chegavam, a comunicação do Fed em Jackson Hole e, mais importante, como o mercado de títulos estava se movendo.
Tudo isso construiu minha tese.
Antes de o dado de Variação do Emprego Não Agrícola ser divulgado, eu esperava que o número viesse significativamente acima das expectativas, então me posicionei de acordo e compartilhei minha tese antecipadamente.
A operação era de alto risco? Sim.
É exatamente por isso que a gestão de risco importa.
SL apertado. Risco definido. Invalidação clara.
Então os dados foram divulgados.
Deixei os vencedores correrem, gerenciei as posições e realizei meus lucros.
+US$600 em minutos.
E não, não foi por causa de alguma mágica:
❌ EMA 200 ❌ EMA 20 ❌ nível de Fibonacci ❌ Topo triplo ❌ padrão de Cabeça & Ombros
A operação foi impulsionada por macro, posicionamento de mercado, níveis de suporte/demanda e execução.
Não estou postando isso para me exibir com uma operação vencedora.
Estou postando porque gente demais acha que precisa pagar milhares por um curso de "guru" cheio de indicadores e padrões sofisticados para aprender como os mercados se movem.
Aprenda a construir uma tese. Entenda macro. Entenda risco. Entenda por que os mercados reagem.
🚨 QUEBROU: Dados importantes de emprego acabaram de sair.
🇺🇸 Folha de Pagamentos Não Agrícolas dos EUA: +55K vs +162K esperado
🇺🇸 Taxa de Desemprego: 4.1% — em linha com as expectativas
🇺🇸 Ganhos Médios por Hora: +0.3% — em linha
O grande desapontamento está claramente na criação de empregos. Apenas 55K empregos foram adicionados, contra 162K esperados. 👀
Volatilidade a caminho. 👀🔥
Setembro promete ser interessante. 👀
Muita coisa está acontecendo ao mesmo tempo:
• Os dados on-chain do Bitcoin estão melhorando • Os fluxos de ETF voltaram • Solana continua crescendo • A IA continua superando as expectativas • Enquanto isso, o cenário macro está ficando perigoso
Aqui está o que estou observando 🧵👇
2/ BITCOIN
A correção da área de $82K era esperada.
Os holders de longo prazo realizaram alguns lucros, o que é completamente normal após uma forte alta.
Mas aqui está a parte importante:
A distribuição deles está longe dos níveis que vimos durante os grandes períodos de venda desde janeiro de 2024.
Por enquanto, nada sugere capitulação agressiva dos holders de longo prazo.