
今后看盘|A股趋势看盘与结构复盘工具
A股趋势看盘与结构分析工具,帮助观察资金承接与风险边界。
@AmberFishe36612 · X
📊 还在凭感觉看盘? 我做了一个自己的看盘工具——「今后看盘」 趋势、资金承接、压力位置, 把盘面信息放到一起看,判断起来更直观。 不追涨,不预测, 先把结构看明白。 👇 想体验一下可以进官网 投资有风险,工具仅供市场信息与数据分析参考。
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A股趋势看盘与结构分析工具,帮助观察资金承接与风险边界。
@AmberFishe36612 · X
📊 还在凭感觉看盘? 我做了一个自己的看盘工具——「今后看盘」 趋势、资金承接、压力位置, 把盘面信息放到一起看,判断起来更直观。 不追涨,不预测, 先把结构看明白。 👇 想体验一下可以进官网 投资有风险,工具仅供市场信息与数据分析参考。

Zone Reports - 按关键词浏览最近注册的域名,每日更新。
@dotcorner · X
Spot recently registered domain names grouped by keyword. Updates at 8:30 AM Eastern daily. Disclosure: Vibe-coded, work in progress. Not a financial advice and DYOR #domains #domainsales #newdomains #domainnames #domainforsales.

搜索600M+财务数据点,包括基础面、申报和转录稿,覆盖2900多家公司。
u/SnowSilent7695 · Reddit
Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

浏览中转站点,对比汇率、初始额度、分组和性能数据。
@mutou1852 · X
做了一个中转站点收录网站,展示倍率、初始额度、可用分组和实测性能数据。 希望帮大家更快找到适合自己的站点。

查看实时交易头寸、历史和性能指标的仪表板。
@Tradevoai · X
🚀 New: track trades without connecting an exchange. Manual Accounts + Journaling just shipped — log open/closed trades with SL/TP, notes & tags. Full edit/delete/reopen control. Try it → #trading #buildinpublic

聚合所有链接到一个页面,含二维码和实时统计
@interchained · X
one handle, every surface

用 RAG 技术研究调查最新的诈骗骗局。
u/King_Kazma · Reddit
whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)


上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X


分析Reddit趋势、研究关键词、评分帖子。
u/hachishikiga · Reddit
You don't need LLMs for everything "Just ask (insert any LLM)" is crazy to me. I'm sure you've also seen it, if you go around the saas/entrepreneur subreddit space the most obvious tell is how EVERY homepage looks. Recently the trend has been terminal green with slight glowing elements, and slowly revealing features as you scroll down. This is a bigger issue than the scope of this post, but I will still plant the thought in your head: if everything comes from the same source (even more so if

用于查询结构化公开X数据的API,包括帖子、资料、趋势和粉丝。
u/CodeElectrical7071 · Reddit
X’s API is expensive, so I built a simpler API for public X data I’ve been building ThreadQuery, an API for getting structured public X data into apps and AI workflows. It supports search, post lookup, profiles, user posts, threads, trends, followers, and following. I’m starting with a free beta while I test reliability with real usage. The first 100 verified users get 1,000 free credits. No payment integration yet. I’d love feedback, especially on incorrect data or missing endpoints: