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The trade you didn't take might teach you more than the one you actually executed. That's an idea I've been thinking about while following @Hypesium. In fast-moving on-chain markets, traders naturally focus on completed transactions. They remember their entries, exits, profits, and losses. But what about the opportunities they deliberately ignored? A new token launches, volume begins increasing, and the chart suddenly moves higher. You notice it, examine the available information, and decide not to enter. An hour later, the price has doubled. It's easy to look back and call that decision a mistake. But I don't think that's always fair. If the token had insufficient liquidity, unclear contract information, or risks outside your strategy, avoiding the trade may have been completely reasonable. Hypesium provides a Telegram-based trading workflow focused on the Elysium ecosystem, where multiple launchpads create a constant stream of potential opportunities. What interests me is how traders can develop better judgment while navigating that environment. I believe missed trades deserve their own research journal. Record what caught your attention, why you decided against entering, and what happened afterward. Over time, those observations might reveal useful patterns. Perhaps your filters are too restrictive. Perhaps they consistently protect you from unstable launches. Or perhaps certain market conditions deserve further investigation. The important part is evaluating the original decision without letting hindsight rewrite the reasoning. For me, @Hypesium is interesting because easier market access makes selectivity even more important. You don't need to participate in every opportunity to learn from it. Sometimes watching a market without risking capital is the most productive decision. Would you rather track only your completed trades or also study the opportunities you deliberately skipped?

in this big 2026, you can’t afford to fade Bagel 🥯 @bagel_win is making prediction markets more accessible by creating a dedicated mobile app that allows users to explore markets and make predictions anytime, anywhere. available in 150+ countries and regions, bagel connects users to polymarket’s existing markets and liquidity through a convenient mobile experience. here are some advantages of using bagel: 1. mobile convenience 📱: explore markets and make predictions directly from your phone. 2. polymarket integration: access a wide range of existing prediction markets across different topics. 3. established liquidity: trade through polymarket’s existing liquidity rather than a separate trading ecosystem. 4. personalized discovery: discover interesting markets through the for you feed. 5. live market updates: follow market developments as events unfold. 6. copy trading: follow other predictors and copy their trades. 7. social features: connect with other users, track their activity and exchange market ideas. - download bagel now: - register with my code: stunner - you will get 10% off fees. happy predicting. bagel combines @Polymarket’s market access with mobile convenience and social trading features. whether you’re a beginner or an experienced predictor, there’s plenty to explore.

我的天，这太疯狂了！！😱 有人用 Opus 5.5，把自己的智能眼镜改成了能识别物体的 AI 设备！ 任何带摄像头的智能眼镜都能接上，戴上之后会当场报出看到的人、车和各种物体。 这套东西免费、开源，普通 Mac 就能跑。 下面是完整步骤： step 1 → 一条命令装上 YOLO：pip install ultralytics step 2 → 戴上眼镜，给自己的 Mac 打一通 WhatsApp 视频通话 眼镜看向街道，Mac 上就能看到同样的画面 step 3 → 在 OBS 里捕获通话窗口，并打开 Virtual Camera 这样眼镜传来的画面，会像摄像头一样出现在 Mac 上 step 4 → 对着这路画面跑追踪：yolo track model= source=1 show=True 每个物体都会带上框、标签，还有一个会跨帧跟着它走的 ID step 5 → 只留下你关心的类别：classes=0,2,16 对应人、车和狗，conf=0.5 用来去掉没把握的判断 step 6 → 写一小段 Python，用 macOS 的 say 把看到的内容念出来，再经 BlackHole 这类虚拟麦克风送进通话：car on your left。声音会直接进到你耳朵里 step 7 → 用自己的东西来训练：你的产品、工具、自己的狗。把 coco8.yaml 换成你标好的照片，再跑 yolo train step 8 → 导出到手机：format=coreml 给 iPhone，format=tflite 给 Android，这样以后可以不用再靠 Mac 底层大致是这样： → YOLO 对每一帧只看一遍，并在这一遍里找出所有物体，所以够快，能跟上实时视频 → 追踪（默认是 ByteTrack）会让同一只狗即使走到树后面，也还是原来那个 ID → 80 种物体开箱就能认，不必先训练 仓库地址： 有兴趣的话可以自己试一下

NIKOLA JOKIĆ AND JAMAL MURRAY MADE MAJOR HISTORY TONIGHT. They are the FIRST pair of teammates since tracking began in 1997-98 to record 1,000+ assists to each other 🤯 Jokić in DEN's W: 26p, 8r, 10a, 3s Murray in DEN's W: 23p, 7r, 9a, 2b

NIKOLA JOKIĆ AND JAMAL MURRAY MADE MAJOR HISTORY TONIGHT. They are the FIRST pair of teammates since tracking began in 1997-98 to record 1,000+ assists to each other 🤯 Joker in DEN's W: 26p, 8r, 10a, 3s Murray in DEN's W: 23p, 7r, 9a, 2b

My Watchlist got smaller this week, and that felt like progress. @GeckoTerminal shows me the list I actually use, not the list I wish I had, and keeping it short is the whole point for me. Every pool on there has a reason I can say out loud: what I am trying to learn from it, or what question it helps me answer. If I cannot say that reason clearly, it comes off. If I can, it stays, even when nothing is happening with it, because I am tracking to learn, not to chase movement. I check it the same way I tidy a desk. I look at what is still earning its place, I ask what has changed since I added it, and I let go of those that no longer teach me anything. That keeps my research honest, and it keeps my attention on the pools I already understand best. That is only how I keep mine, not advice for anyone else. My setup is here if you want a look: [your Watchlist link] What did you last take off your Watchlist, and why did it lose its place?

Is Shiba Inu gaining holders even as its price struggles? SHIB added roughly 150,476 net addresses between the start of 2026 and Nov. 13, according to daily Etherscan-based holder tracking. That puts its holder count at 1,699,106, just thousands short of 1.7 million. The growth continued through months of price weakness. Many days saw hundreds of new addresses enter the count. But there's a catch: holders aren't necessarily people. The figure includes exchange wallets, smart contracts and users with multiple addresses. Even wallets with tiny SHIB balances count. More addresses don't automatically mean stronger demand, fresh capital or a price recovery. Is SHIB's expanding holder base a sign of resilience, or is the market right to ignore it?