デイリーマーケットブリーフ
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
アクティブシグナル
0
トレーディングボット
トップムーバー
すべて表示 →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%
最新シグナル
すべて表示 →中立
MCP was always a bad idea?
中立
Why Backprop Goes Backward (2018)
中立
Mini-AGI – dynamic continual learning model trained from scratch on 8GB VRAM
中立
Grim Fandango Puzzle Document (1996) [pdf]
中立
Far-left party wins Berlin election, pledging to nationalise housing
中立
Winning the Visa Lottery
中立
AI chatbots give wrong answers to financial queries 'most of the time'
中立
The LLMentalist Effect (2023)
予測
すべて表示 →ニュース
すべて表示 →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.
1時間前
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.
1時間前
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.
2時間前
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.
3時間前