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London Session today, both of my probability tools aligned: • Probability Map: 76.5% LONGS • Intelligent Balance: 72% LONGS That immediately simplified the entire session. I was not interested in predicting every candle. I was not looking for shorts. I was looking for one thing only: BULLISH signatures toward...

14,624 views • 20 days ago •via X (Twitter)

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I just closed a quick $73.8K trade—but not before nearly botching the whole thing. I set my take profit at 212.70 instead of 212.776. When price started dropping fast, I had to manually close all my positions with speedy fingers before hitting the wrong TP level. lol. Let me break down the trade setup: Price was bearish, then we got a market shift signalling a potential bullish move on the 15-minute structure. After price mitigated the supply zone and created a failed reaction, I knew we had a flip + sweep zone forming. Price pushed hard to the upside, but gravity eventually pulled it back down. I saw bearish momentum forming and knew price was gravitating toward the extreme demand zone below. Instead of waiting for a buy setup (which would happen during New York session—not my time), I decided to trade the pullback itself. Here’s how I entered: I waited for a huge bearish candle, then watched for price to pull back slightly. That pullback created my supply zone. When price mitigated that zone and created a lower high—boom, that's where I entered. Overall thoughts: Honestly, I rate this trade 5/10. Not perfect. I rushed the entry and couldn't use my normal platform. Some positions even filled at non-ideal prices. But here's what I did right: proper stop loss placement and taking profit at the exact point where demand would step in. — This is just one setup from my complete trading framework. I also cover how to spot market shifts before they happen, the exact 3 timeframes I use to confirm every trade, and how to identify high-probability supply and demand zones for entries. Just comment "FRAMEWORK" and I'll send you the full breakdown in your DMs.

The Trading Geek (Brad Goh)

12,224 views • 5 months ago