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A+ NQ setup has exactly three parts. 1. Statistical bias: Probability Map shows 75%+ to one side. Not an opinion. Backtested across 10 years of NQ session data. That number narrows the playing field before price moves an inch. 2. The sweep: Liquidity is resting in the opposite direction....

20,079 просмотров • 1 месяц назад •via X (Twitter)

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Why does price reverse the second you enter? Because you're reacting to micro structure shifts while institutions are still executing the macro trend. Every market operates in 2 ranges simultaneously: 1) External range (macro structure) 2) Internal range (micro structure) Every market is always operating within BOTH ranges simultaneously. 1) External Ranges How do you identify it? Look at the SIZE of the pullbacks. If one pullback is twice the size of the others—that's your external break of structure. What does it tell you? Your overall bias. If the external range is bearish, you should be looking for sells. If it's bullish, you should be looking for buys. The external range doesn't tell you when NOT to trade—it tells you WHAT DIRECTION to trade. 2) Internal Ranges How do you identify it? Look for small breaks of structure that happen WITHIN your external range. These are the tiny pullbacks that barely move price compared to the major swings. What does it tell you? Short-term trading opportunities. You CAN trade internal breaks, but manage your expectations. These aren't trend reversals—they're temporary counter-moves that create pullbacks before price continues with the external trend. The internal range tells you when there's a short-term trade setup, but NOT to expect a full reversal. In the video below, I've explained what happens when you trade internal breaks without identifying the external ranges (and how to solve this): — This is just one concept from my complete trading framework. We also cover how to identify when external structure is actually shifting, the 3 timeframes every trader needs to understand and how to identify discount zones for entry points. Just comment "RANGES" and the full breakdown will automatically be DM'd to you in the next few minutes.

The Trading Geek (Brad Goh)

21,330 просмотров • 5 месяцев назад

After 1,000+ trades, this is the only setup that consistently works in any market condition. It's called liquidity sweep reversal—and it's the highest probability trading strategy I know. Before I show you what it is, here are the two things most traders get wrong with it: 1) They enter too early and get stopped out on the second sweep. 2) They try to predict the LAST sweep with certainty This is a sure-fire way to burn your money. Here's what to do instead: Step 1: Identify market control Look at structure. Higher highs and higher lows? Buyers are in control. We're only trading from demand zones. Step 2: Mark your liquidity zones Find equal lows. When retail sees a "double bottom," they go long because textbooks tell them to. Their stop losses sit right below those lows. Available liquidity for institutions to sweep. Step 3: Wait for the sweep Price drops, sweeps those stops, liquidates retail traders, then creates a sharp V-shaped reaction. This sweep breaks structure. Zoom into 1-hour timeframe - price was making lower highs and lows. After the sweep? Higher highs and higher lows. That sweep zone becomes your institutional demand zone. Step 4: Enter on mitigation Wait for price to pull back to the liquidity zone. Enter there. Stop below the zone. Target 2-3R. Remember: You'll NEVER predict with 100% certainty when it's the LAST liquidity sweep. Sometimes price sweeps 2-3 times before the real move. But that's trading—we trade probabilities, not certainties. Also, keep in mind: If you can't spot the liquidity, you ARE the liquidity. — This is just a breakdown of one of the trading strategies we covered in our 2-hour long cryptocurrency trading course. I also discussed the trend pullback strategy, how to trade breakout retests without getting stopped out on fake moves, and why understanding liquidity is the only way to avoid becoming exit liquidity. Just comment "COURSE" and I'll DM it to you immediately so you can watch it.

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Jordan Peterson on why imposter syndrome is not the problem you think it is: 1. feeling like an imposter is actually a marker of mental health and competence. the people who do not feel it are the narcissists. if you have any sense and you are not deluded about your abilities you will feel some version of this every time you level up. peterson says the absence of imposter syndrome should concern you more than its presence. 2. every time you move up you will feel like an imposter. that is not a flaw. it is accurate. when you first enter a new role you are a beginner. you do not know what you are doing yet. feeling like an imposter at that stage is not a sign of weakness. it is a sign that you have enough self awareness to recognize the gap between where you are and where you need to be. 3. admitting ignorance to competent people never goes badly. people are afraid to ask questions because they think they are the only one in the room who does not know. they are not. if you were paying attention and you had a question the probability that half the room had the same question is very high. you only have to ask a stupid question once. after that you are no longer stupid about it. 4. intellectual humility is endearing to people who are actually good at what they do. competent people are always asking questions too because they know how much they do not know. when they see you asking questions they do not think you are incompetent. they think you probably are competent. 5. there is a darker version of imposter syndrome called imposter adaptation. hedonic adaptation is where happiness resets after good things happen. imposter adaptation is where the feeling of being a fraud persists no matter how many times you disprove it. you keep succeeding. the feeling keeps returning. at some point you have to admit the feeling has nothing to do with your actual capacity and everything to do with an addiction to feeling like an imposter. 6. high neuroticism makes this significantly worse. neuroticism is sensitivity to threat and punishment. people high in this trait need more evidence to feel safe and competent. the calibration problem is nearly impossible. you wake up with an ache in your side. is it nothing or is it cancer. most of the time it is nothing. the neurotic brain cannot easily tell the difference and applies the same logic to professional competence. 7. the only treatment that actually works is voluntary exposure to the things you are afraid of. you keep facing challenges. you keep paying attention. you develop competence. the environment becomes more predictable. the evidence accumulates. the people around you build confidence in you and that confidence reflects back. there is no shortcut. that is the pathway.

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54,379 просмотров • 20 дней назад

Sam Altman just handed every startup founder a one-question autopsy. Altman: “If you’re building something on GPT-4 that a reasonable observer would say we’re going to steamroll you.” Not might. Not could. Going to. He said it with the calm of someone describing weather. Because to him it is weather. The model improves. Whatever was built on the old version’s weaknesses gets washed away. That is not strategy. That is erosion. And most founders are building on the erosion line. They find a gap in the current model. They wrap a product around it. They raise money. They hire. They scale. Then OpenAI releases the next version and the gap closes and the product has no reason to exist anymore. Altman: “When we just do our fundamental job, which is make the model better with every crank, then you get the ‘OpenAI killed my startup’ meme.” He is telling you directly. They are not hunting you. They are not even thinking about you. They are just improving the model. You happen to be standing where the improvement lands. That is the part founders refuse to hear. OpenAI does not need to compete with you. It just needs to keep doing exactly what it was already doing and your entire company disappears as a side effect. You are not a competitor. You are a temporary symptom of incomplete intelligence. The moment the intelligence completes you become nothing. Then Brad Lightcap delivered the cleanest diagnostic ever spoken in venture capital. Lightcap: “Ask if a 100x improvement in the model is something they’re excited about.” One question. The entire investment thesis reduced to a single binary. Does the next model make your company more powerful or does it make your company pointless. There is no middle ground. Lightcap: “We know the companies that come to us saying, ‘We want the next model. When is it coming out? I want to be the first to try it.’” These companies built something that feeds on intelligence. The smarter the model gets the more their product can do. They are not threatened by progress. They are starving for it. Then there are the companies Lightcap never hears from. The ones who go quiet when a new model drops. The ones who read the release notes like a death sentence. The ones privately praying the next generation takes longer because every improvement shrinks the ground beneath them. If you are hoping the model stays roughly where it is you have already told the market everything it needs to know about your company. You are not building on intelligence. You are building on the absence of it. Altman: “95% of the world should be betting on the latter category.” The latter category is simple. Assume the model keeps getting better at the pace it has been getting better. Build for that world. Not the world where GPT-4 is the ceiling. The world where GPT-4 is the floor and the ceiling has not been built yet. Then Altman told a story that should be framed on the wall of every startup in the country. A medical AI company came to him that morning. They were not complaining about the model. They were not worried about being replaced. They were demanding it improve faster. Altman: “Here’s how many people are dying every day you delay.” That is what alignment with the trajectory looks like. A company so deeply built on intelligence improving that every day the model stays the same is a day someone dies who did not have to. They are not building on a flaw. They are building on a future that has not arrived fast enough. That is the difference. The wrapper startup patches what the model cannot do today. The real company builds what the model will unlock tomorrow. One is running from the train. The other is laying the track. Altman told you the train is not slowing down. Lightcap told you exactly how to know which side you are on. One question. Does a 100x smarter model make you more valuable or erase you. If you had to pause before answering you already did.

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