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I built a stock research tool that shows the evidence behind a ticker read

Disclosure: I build AimyTrade. I kept seeing stock claims reduced to one chart or one headline, so I built a repeatable research checklist. Enter a US ticker and the app assembles an algorithmic, non-personalized read with a confidence score, calculated price levels, and the available technical, company, ownership, news, and sentiment context. Missing evidence is labelled rather than filled in with a confident-sounding answer. One core ticker setup is free after email signup. For ongoing

五维评分

付费意愿
55
需求真实度
35
个人可落地
60
竞争空间
25
新鲜度
55

AI 分析

痛点:散户股票研究信息碎片化,常把单一图表或标题当成结论,缺少可复现证据链、置信度标注和缺失证据提示。

目标用户:做美股研究的散户投资者、独立交易者,以及需要快速查看 ticker 证据清单的人。

证据:“One core ticker setup is free after email signup. For ongoing research, Starter is $9/month for 30 analyses and 10 active thesis monitors; Pro is $29/month for unlimited analyses and up to 50 monitors.” “what would need to improve before a subscription would be worth paying for?”

变现:订阅制:免费试用一次分析,Starter $9/月,Pro $29/月;可增加监控提醒、研报导出、API、团队版等增值。

MVP:2周内用免费/低价数据源(SEC filings、Yahoo Finance、Finnhub 等)做一个美股 ticker 证据清单生成器:输入代码,输出技术面、基本面、持股、新闻、情绪证据条目与缺失标注,附简单置信度评分;先不做个性化投资建议,支持邮件/导出和少量监控。

竞品:Simply Wall St、Finviz、Koyfin、Seeking Alpha、Trade Ideas、Zacks

摘要:帖子是 AimyTrade 的推广,提供美股 ticker 的算法化研究清单、置信度和价格位,并标注缺失证据。定价为 Starter $9/月(30次分析+10个监控)和 Pro $29/月(无限分析+50个监控),但发帖仅求反馈,未见付费用户或收入验证。赛道竞品多,独立开发者可用免费数据做轻量 MVP,但合规与数据成本是门槛。