AI + live data · analyst records & stock signals
KoalCheckKoalCheck
LeaderboardMembershipBuilder
Connect your AI client via MCP
Endpoint (paste into an MCP client — anonymous, free, no key)
https://mcp.koalcheck.com/mcp
Or copy this and send it to your AI to set it up:

Add the "koalcheck" MCP server to my client and connect. It is a remote Streamable-HTTP server at https://mcp.koalcheck.com/mcp — connect anonymously, no API key or login needed (the free tools work right away). If my client supports a remote/HTTP MCP server directly, just use that URL. If my client config only accepts a local command (e.g. Claude Desktop's mcpServers, which rejects a bare "url"), bridge it with command "npx" and args ["-y","mcp-remote","https://mcp.koalcheck.com/mcp"]. Then tell me to fully restart the client, and list the koalcheck tools you can call. It provides US-equity research tools built on an analyst track-record engine (who has actually been right, priced vs SPY, cross-checked with SEC & FINRA).

CapabilitiesUser guide
← @tradesmax

$SPY

BULLISH2026-06-06
Price around the call
↑ 2026-06-06
By horizonMaturing · ~0 trading days to go
1d
…
5d
…
21d
…
Original post
美股投资网 · 2026-06-06

按理说,仅凭周五这份宏观数据,并不足以引发美股市场出现接近4%的大幅下跌。 但当关键技术位被跌破后,程序化交易和量化模型触发了大规模电子卖盘,进一步放大了市场的下行压力。在流动性不断被抽离的过程中,抛售形成自我强化效应,导致指数一路承压直至收盘。 短期情绪释放后,市场往往会重新回归基本面。下周重点关注资金回流情况和技术面修复力度,我们继续看好反弹机会。 #量化交易 #美股 #美股研究报告 #美股推荐 #纳斯达克 #金融 #财经 #英伟达 #期权 #美国 #人工智能 #AI #华尔街 #标普 #谷歌 #亚马逊 #苹果 #特斯拉 #马斯克 #美国 #理财 $NVDA $SPY $QQQ $GOOG $GOOGL $AMZN $AAPL $META $MSFT $TSLA $AMD $INTC $QCOM $SNDK $MU $MRVL

View on X ↗
KoalCheckKoalCheck

Honest, price-verified track records for US-stock callers on X.

© 2026 KoalCheck. All rights reserved.

ProductLeaderboardCall streamHot tickersAI assistantMembershipBuilderMCP & API access
LegalTerms of ServicePrivacy PolicyDisclaimer
ContactX · @koalcheck[email protected]

KoalCheck is an information-aggregation and research tool — not investment advice. Data may be delayed or inaccurate. Investing involves risk; decide carefully.

Tweet content © its original authors. Data sources: public X content · SEC EDGAR · FINRA. Methodology and site design © KoalCheck.