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An ML subfield begins to graduate when it matures from broad distribution fitting (covering the training dataset) to targeted steering (instruction following).We are starting to see for actions what we saw with language (GPT-3.5) images (ControlNet), and videos (Veo) 🚀
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from $25 to $2,500.not in a year. in 11 days.I blew my first $40 on vibes.then I found one equation that changed everything.Edge = p_model - p_markettranslation: if your probability estimate is higher than the market's you have edge.if not you're just someone else's liquidity.I started filtering every single trade through this.no edge no entry.Deposit: $25Day 1-3: $25 → $74Day 4-7: $74 → $430Day 8-11: $430 → $2,500Win Rate: 71%most people trade on gut feeling.I traded on a formula.same Polymarke
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from $25 to $2,500.not in a year. in 11 days.I blew my first $40 on vibes.then I found one equation that changed everything.Edge = p_model - p_markettranslation: if your probability estimate is higher than the market's you have edge.if not you're just someone else's liquidity.I started filtering every single trade through this.no edge no entry.Deposit: $25Day 1-3: $25 → $74Day 4-7: $74 → $430Day 8-11: $430 → $2,500Win Rate: 71%most people trade on gut feeling.I traded on a formula.same Polymarke
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“我们尝试使用拓扑数据分析，通过Mapper和嵌入提取来映射我的X书签的形态，并生成了三个视图：密度视图：注意力反复聚焦之处PCA视图：主要的变化轴质心视图：中心 vs. 边缘（典型点 vs. 离群点）"
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💧 Liquidity: The Market’s Hidden Engine Liquidity is the fuel that keeps the market moving. It represents the availability of buy and sell orders — the depth that allows traders to enter or exit positions smoothly. But in smart money terms, liquidity isn’t just about volume — it’s where the big players hunt orders. --- 📍 Liquidity Zones These are areas on the chart where clusters of pending orders sit — usually around support and resistance, swing highs/lows, or psychological levels (like 1.20
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