일일 시장 브리핑
September 21, 2026 · 07:55 UTC — auto-curated from live Tvijo AIOS data.
BTC trades at 81505.00 (24h 1.49), ETH at 2648.60. Sentiment is in greed territory. Latest live signals favor a balanced mix of long and short setups.
81505.00
BTC
2648.60
ETH
206047
활성 신호
0
트레이딩 봇
급등 코인
모두 보기 →BTC
1.49%
ETH
2.83%
USDT
0.02%
BNB
2.58%
XRP
4.19%
USDC
0.01%
SOL
2.85%
TRX
0.54%
ZEC
2.87%
FIGR_HELOC
0.00%
최신 신호
모두 보기 →중립
MCP was always a bad idea?
중립
Why Backprop Goes Backward (2018)
중립
Mini-AGI – dynamic continual learning model trained from scratch on 8GB VRAM
중립
Grim Fandango Puzzle Document (1996) [pdf]
중립
Far-left party wins Berlin election, pledging to nationalise housing
중립
Winning the Visa Lottery
중립
AI chatbots give wrong answers to financial queries 'most of the time'
중립
The LLMentalist Effect (2023)
예측
모두 보기 →뉴스
모두 보기 →https://news.ycombinator.com/rss
Kev: Tiny Jev-like family of decision models built on top of Qwen3.5
Kev is a tiny Jev-like family of decision models built on top of Qwen3.5, shared on GitHub by Jared Palmer and discussed on Hacker News.
43m ago
https://www.coindesk.com/arc/outboundfeeds/rss/
Kalshi faces ‘fake crypto volume’ allegations as critic flags identical $5,500 trades
Kalshi faces allegations of fake crypto volume after a critic flagged identical $5,500 ether perpetual futures trades, prompting a response from its crypto chief.
1시간 전
https://news.ycombinator.com/rss
Grim Fandango Puzzle Document (1996) [pdf]
A 1996 design document for Grim Fandango reveals the puzzle structure behind LucasArts' classic adventure game. Shared via Hacker News, it offers a rare look at vintage game design.
1시간 전
https://news.ycombinator.com/rss
Far-left party wins Berlin election, pledging to nationalise housing
Berlin's far-left party won the city election, pledging to nationalise housing. The result signals growing voter support for radical housing policy in Germany's capital.
2시간 전
https://news.ycombinator.com/rss
Mini-AGI – dynamic continual learning model trained from scratch on 8GB VRAM
A developer released Mini-AGI, a dynamic continual learning model trained from scratch on just 8GB of VRAM, shared on GitHub and Hacker News.
3시간 전