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📊 BTC / ETH Intraday Main Capital Trend (ValueScan) ⏰ 2026-10-06 22:20:30 BTC $86,122 (−0.14%) 🤖 Main capital: Session still offered; 1H bulls back in front 🤖 Comprehensive: 🟡 Consolidation Session net out is still heavy. 1H is the bid, and the offer has paused. Cap 86,153, floor 85,961. ⚠️ Risk: If the 1H bid fades and 86,153.4 fails, 85,961.25 is the retest. Resonance can open 86,739.3. 84,798.25 only matters if 85,961 goes. Support: 85,961.25 / 84,798.25 Resistance: 86,153.4 / 86,739.3 Intraday mix: Long 0.0% | Short 0.0% | Sideways 100% Live tag: Still sideways ETH $2,711.19 (−0.11%) 🤖 Main capital: Session longs have no follow-through; 1H shorts picking up 🤖 Comprehensive: 🟡 Oscillating Session futures still short-led. 1H spot is a small inflow. Cap 2,711.64. ⚠️ Risk: Weak resonance. Lose 2,709.04 and 2,692.82 can go faster. A real hold still has to clear 2,711.64, then 2,726.28. Support: 2,709.04 / 2,692.82 Resistance: 2,711.64 / 2,726.28 Intraday mix: Long 0.0% | Short 0.0% | Sideways 100% Live tag: Still sideways 7-day win rate: BTC 63.5% | ETH 68.6% Oct 5 recap: BTC bullish-bias → bearish-bias → Sideways −0.88% (71%) ETH bullish-bias → Sideways −0.62% (78%) #BTC# #ETH# #ValueScan# #MarketAnalysis# ⚠️ Crypto is highly volatile. Not investment advice. DYOR.

Ethereum has climbed roughly 12% over the past 30 days, posting nine consecutive days of gains to reclaim the $1,900 level after bottoming near $1,565 in late June. ETH remains well below its January high near $3,355, but the consistency of this move, steady, not spiky, suggests more than a one-off bounce. Ethereum (ETH-USDT is above the 7-day moving average -> bullish, and is above the 30-day moving average -> bullish, with 1 week change of +1%) ETH ETF recorded renewed positive net capital inflows alongside expanded corporate treasury holdings. Major financial institutions increased their deployment of tokenized assets and custom chains built on the network. Liquid supply tightened further as the percentage of total Ether locked in staking reached a new high. Migration to Layer-2 scaling solutions reduced base gas fees, slowing overall fee burning. Core developers advanced testnet trials for the Glamsterdam protocol upgrade. The question is whether this grind higher can continue or is due for a pause. Where do you see ETH heading from here? #Ethereum# #Crypto# #DigitalAssets# #MarketAnalysis#

50 Sites That Show What Billionaires Buy and Read for Free🤯 1.) → Current portfolios of famous investors 2.) → Quarterly fund trades 3.) → Stock transactions of US politicians 4.) → Executives' own company stocks 5.) → Making fund filings readable 6.) → Companies' official reports 7.) → Buffett's letters since 1977 8.) → Video archive of Buffett meetings 9.) → Howard Marks' investor memos 10.) → Research from Ray Dalio's firm 11.) → Dalio's principles for free 12.) → Jeremy Grantham's market notes 13.) → Quantitative fund research 14.) → Damodaran's valuation data 15.) → Valuation professor's blog 16.) → Morgan Housel's money writings 17.) → Mental models for decision-making 18.) → JPMorgan's free market guide 19.) → Innovation-focused fund research 20.) → Venture capital essays 21.) → Value investing lecture notes 22.) → Columbia's value investing archive 23.) → Fed's economic data archive 24.) → Fed decisions and statements 25.) → European Central Bank data 26.) → Reports from the central bank of central banks 27.) → Countries' economic indicators 28.) → Companies' long-term charts 29.) → Company financials for free 30.) → Companies' market cap rankings 31.) → Stock screener and heat map 32.) → Portfolio backtesting 33.) → Charts and market analysis 34.) → Professional market screener 35.) → Company activity reports archive 36.) → SEC's investor education site 37.) → Passive investing encyclopedia 38.) → Financial terms dictionary 39.) → Free finance guides 40.) → CFA research publications 41.) → Fund and stock evaluations 42.) → Companies' visual analysis 43.) → Archive of selected investment theses 44.) → Seeing what's inside funds 45.) → European fund backtests 46.) → Investment writings with data 47.) → Market history notes 48.) → Investor psychology writings 49.) → Explaining the economy with charts 50.) ourfiniteworld? → (see note) The rich don't hoard information. They just don't tell you where it is. Save it, follow @Liyana_Coder you'll need it. Not investment advice. @Liyana_Coder

🚨 A 19-YEAR-OLD STUDENT TURNED $68 INTO $750K USING AI. No trading experience. No emotional decisions. No endless chart-watching. Just Claude Code, GPT-6 Astra, and 6 AI agents working together. I built a self-learning AI trading system that generated +$1,840.82 in just 48 hours. [ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞: @EaStEnRaY1 (𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌)] Here's what makes it different: 🧠 6 AI agents monitor newly launched Solana coins. ⚡ The system analyzes buyer activity, connected wallets, selling pressure, and holder concentration. 🎯 Every launch is evaluated across 3 probability scenarios: - +60% reached first - -30% reached first - Neither happens within 60 minutes QUANT evaluates profitability after execution costs. GUARD filters out trades with unacceptable risk. And here's the crazy part: Even the trades it SKIPS become learning data. Every new signal helps the system improve its next decision. No panic. No FOMO. No emotional trading. Just AI-powered market analysis and execution. 🔥 NOW I'M GIVING AWAY MY EXACT CLAUDE CODE SETUP FOR FREE! Want to build your own AI trading system? I'm sharing the setup for the next 24 HOURS ONLY. 👇 HOW TO GET IT: 1️⃣ Like this post 2️⃣ Repost 3️⃣ Comment "CLAUDE" 4️⃣ Follow @EaStEnRaY1 so I can DM you the setup. Don't just watch AI change trading. Learn how to build with it. 🚀

BTC peaked in October, if the cycle holds, it bottoms in October. Then $250k by 2029. Crypto Daybook Americas, presented by @Grayscale Your daily crypto market analysis:

Binance AI Pro doesn't just assist. It executes. Real-time market analysis, automated risk signals, and data-heavy decisions handled before you've opened a second tab. You bring the strategy. Binance Ai Pro brings the edge.

能帮助你启动并优化 Polymarket 交易机器人的 5 个 GitHub 仓库 这些仓库将把你的基础机器人转变为一个完整的、专业的交易系统。它们涵盖了从实时监控、警报到回测、性能分析以及持续改进的所有环节。1. skharchikov/polymarket-bot 生产级监控栈，包含 Prometheus + Grafana 仪表盘。内置盈亏 (PnL)、回撤、胜率、交易次数和机器人健康状况的指标。非常适合实现 24/7 全天候可视化监控。GitHub: 2. ent0n29/polybot 深度监控与逆向工程工具包。对每个策略决策进行卓越的日志记录 + Alertmanager 警报。 帮助你快速理解机器人为何做出某些决策。GitHub: 3. buddies2705/polymarket-dashboard 简洁的实时 Next.js 仪表盘。以美观的界面展示实时市场、你的持仓、持有者及整体统计数据。GitHub: 4. evan-kolberg/prediction-market-backtesting 专门为 Polymarket 构建的强大回测框架。让你在实盘运行前，可以在历史数据上测试策略。GitHub: 5. Jon-Becker/prediction-market-analysis 最大的 Polymarket + Kalshi 公开数据集，附带即插即用的分析工具。非常适合研究市场并寻找新模式以改进你的机器人。 GitHub: 借助这五个仓库，你将实现从“我有一个机器人”到“我拥有一个稳定、透明且不断进化的交易系统”的蜕变。