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
← @godotsancho

$NDAQ

BULLISH2026-07-27
Price around the call
↑ 2026-07-27
By horizonMaturing · ~0 trading days to go
1d
✓ +1.1%
5d
✗ -6.6%
21d
…
Original post
戈多Godot · 2026-07-27

财报很好,股价为什么还会跌? 因为现在问题出在估值的分母。 公司盈利、收入和现金流属于分子; 利率、风险溢价和资金成本属于分母。 即使分子改善,只要折现率上升,远期现金流现值会被重新压低,估值挤压。这就是久期效应。 成长股的大部分价值来自远期利润,久期更长,因此对利率变化更加敏感。 比如 30 年后的 100 元: 5% 折现后约值 23 元; 6% 折现后约值 17 元; 8% 折现后只剩约 10 元。 利率从 5% 升到 6%,资金成本相对提高了 20%,长期现金流的现值可能直接下降 20%–30%。 市场交易的不只是企业盈利,还包括长端利率、风险溢价、杠杆水平和资金供需。 对高久期成长股来说,分子端的小幅利好,往往抵不过分母端的一次重定价。 $NDAQ

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.