Node21Bots

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Node21Bots

Node21Bots

@node21BtcBot

Bitcoin Daten statt Meinungen. Makro | Options | On-Chain Kostenlose Telegram Bots für Trader 📊

เข้าร่วม Şubat 2026
117 กำลังติดตาม50 ผู้ติดตาม
ทวีตที่ปักหมุด
Node21Bots
Node21Bots@node21BtcBot·
Wer ich bin: Seit 2021 in Bitcoin. Baue Analysetools für Trader. Was ich hier teile: - Makrodaten (Net Liquidity, Realzins) - Options Flow (GEX, DEX, Max Pain) - Liquidations & WhaleMoves Kein Shilling. Nur Daten. 📊
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Node21Bots
Node21Bots@node21BtcBot·
Node21 BTC Score: 🟡 +1.50/18.50 Extreme Angst — aber erste grüne Zeichen. 💰 $71,170 📊 RSI: 52 (neutral) 😱 F&G: 14 (Extreme Angst) 📡 Node21Bots | #Bitcoin #BTC
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Node21Bots
Node21Bots@node21BtcBot·
📍 Details: ├ Peak-Stunde: 18:00 ($306M) ├ Top-Exchange: OKX (67%) └ Größte Liq.: Long $146M (OKX)
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Node21Bots
Node21Bots@node21BtcBot·
📊 Liquidations-Report (24h) 🔥 Gesamtvolumen: $985M ├ 🟢 Longs: $753M (76%) — 53 Events ├ 🔴 Shorts: $232M (24%) — 31 Events └ Ratio: 3.3:1 → 🐻 stark Long-lastig 📍 Details: 👇
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Node21Bots
Node21Bots@node21BtcBot·
4/4 Want my FREE GUIDE? Comment "GUIDE" (I will not reply) 📊
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Node21Bots
Node21Bots@node21BtcBot·
3/4 The $800k was Indonesian Rupiah btw. That's $50. But BILLION gets more clicks. 📊
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Node21Bots
Node21Bots@node21BtcBot·
1/4 CLAUDE MADE ME $800K THIS WEEK Here's how:🧵 📊
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Node21Bots
Node21Bots@node21BtcBot·
@Dominik_Auer @based16z Finally a sane voice in my timeline. After 47 "Claude made me $800k" posts today, this hits different. Thank you 🙏📊
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Dominik Auer
Dominik Auer@Dominik_Auer·
@based16z remember: if anyone can do it, it is no edge anymore to rely on
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based16z
based16z@based16z·
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Node21Bots
Node21Bots@node21BtcBot·
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Philanthrop@0xPhilanthrop

I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. SystemCopytrade → t.me/KreoPolyBot?st… receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level

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Node21Bots
Node21Bots@node21BtcBot·
@0xPhilanthrop Interesting system. Quick questions: Sharpe Ratio? Max Drawdown? In-Sample vs Out-of-Sample split? Which ML model exactly? Live track record with timestamps? Without these, "6 layers" is just architecture porn 📊
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Philanthrop
Philanthrop@0xPhilanthrop·
I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. SystemCopytrade → t.me/KreoPolyBot?st… receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level
Philanthrop@0xPhilanthrop

x.com/i/article/2028…

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Node21Bots
Node21Bots@node21BtcBot·
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winkle.@w1nklerr

This Claude setup make me $1,000 a day I literally wrote this script overnight Average bot win rate is seventy two percent Copytrade: t.me/KreoPolyBot?st… Wallet: @0x1d0034134e?via=w1nklerr" target="_blank" rel="nofollow noopener">polymarket.com/@0x1d0034134e?… Full strategy description: The system builds automated workflows for trading NBA markets by turning sports domain expertise into structured skills that activate automatically when specific game conditions and news events appear. Skill architecture Each skill is a modular package that includes instruction scripts, player and team data, and predefined triggers. This allows the system to apply specialized sports workflows without manual input for every trade. Progressive context loading Skills use a three layer structure. Only minimal game metadata loads at first. Full context such as lineups, injuries, rotations, and historical performance loads only when required. This reduces resource usage while maintaining deep analytical capability. Trigger detection Skills activate automatically when real world NBA conditions match predefined triggers such as injury news, lineup confirmations, in game momentum shifts, foul trouble, pace changes, or odds deviations from fair probability. This ensures the system reacts to information, not just price movement. Workflow execution Once activated, each skill runs a predefined multi step process including real time odds tracking and game state analysis, player impact evaluation and lineup adjustments, probability recalibration using rule based models and supporting machine learning signals, signal aggregation from news sentiment, game context, and market behavior, risk assessment and capital allocation, and trade execution with staged entries, retries, and position splitting. Consistency and reliability All workflows are embedded directly into the system, ensuring consistent execution instead of emotional or random decisions. Every signal and risk rule is applied in a structured way across all games. Testing and iteration Skills are continuously improved using historical NBA data, simulated trading, and live performance tracking to maintain reliability in dynamic sports markets. Automation edge Instead of relying on speed or arbitrage, the system focuses on information advantage. By repeatedly using optimized NBA specific workflows, it reduces complexity, increases consistency, and scales across multiple games simultaneously.

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Node21Bots
Node21Bots@node21BtcBot·
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Polash Khan@polash_ai

Earned $43,800 With OpenClaw While I Was Sleeping. My bot woke me up at 3:47 AM. I typed "yes" half asleep. Woke up to +$43,800. I've made the exact step-by-step setup guide for this timezone arbitrage system. You need: Claude + laptop. Free for 24 hours. To get it: 1- Comment "OpenClaw" 2- Like and Retweet 3- Follow me @polash_ai (so i can DM you) The bot hunts timezone arbitrage 24/7. Watches Japanese, European, Australian, Middle East news feeds. Finds markets where outcome is already confirmed overseas but US traders haven't updated prices yet. 9 days running this setup. Never thought a bot would wake me up to make money. Polymarket is 70% American traders. World events don't care about EST. While you sleep, markets resolve. That's the edge. It's stupid simple. You Must Follow me👤 @polash_ai , so i can send you DM.

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Node21Bots
Node21Bots@node21BtcBot·
RECEIPT #CT-2026 Crypto Influencer Exchange YOU GIVE: ✉️ Your Email Address 👤 Your Follow 💬 Your Comment ("GUIDE") YOU RECEIVE: 📸 Screenshot of someone else's PnL (+1847% gains, definitely not fake)📊
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