
AI-Powered Trading Chart Analysis | TradingLens
Upload trading chart screenshots to get AI-powered technical analysis of support, resistance, trends, and patterns.
@sreebuildss · X
The full gallery
Tech stack
60 projects

Upload trading chart screenshots to get AI-powered technical analysis of support, resistance, trends, and patterns.
@sreebuildss · X

Track copy trading strategies and performance statistics from influencers
@richman999x · X
我的自动跟单交易系统的网站上线了: 主要是用来记录和观察跟单的博主策略交易情况统计 现在已经在跑的主要是: 大镖客、三马哥、舒琴 另外新增了币圈所长、峰哥、颜驰,但这几个目前还在数据采集和准确率验证阶段,等稳定后才会开启模拟跟单。 网站现在大概有几个功能: 博主的交易记录分析(策略、复盘指标、资金曲线、交易明细等)、图表分析、博主维度表现对比,还有我自己的实盘交易数据。 其中有些功能如图表分析等,是参考了 @woaitaoershi 飞行员老师的那个顶级交易员实盘网站的思路,确实挺实用的。 说实话,我也不知道这玩意最后到底有没有用,先搞出来试试看吧。 最开始做它,就是想偷懒,搞个小账户自动跟单跑一跑,顺便积累数据,看看这些博主的策略到底谁更稳定、谁适合趋势、谁容易在震荡里翻车。 谁知道越做功能越多,越复杂了,前前后后一个多月了,现在 BUG 还不少,老是漏单,数据也还不够多,需要继续验证,所以先别把它当成熟产品,就当一个公开观察记录。 如果你觉得这个东西有点意思,或者对你有帮助,可以点个赞支持一下。 也欢迎留言推荐你觉得值得长期观察的交易博主,我后面可以慢慢加进去。 #自动交易 #跟单系统 #交易复盘 #AI交易 #程序化交易 #交易系统

Link tracking and marketing analytics with geo targeting, bot protection and A/B testing.
@smartlinkpro10 · X
Building Smart Link Marketing infrastructure for serious marketers. One platform replacing: → Link tracker → Bot protection → Geo targeting → A/B testing → Deep analytics

All-in-one link to manage deals from pitch to payment: book meetings, sign contracts, get paid.
@abhinav__dubey · X
Heyy Yooo! Building one link that helps SMBs go from first pitch to fully paid process, no juggling four tools to get there.

Upload datasets to automatically find statistically significant correlations and causal relationships.
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

Get email alerts for unusual options activity on stocks you watch with custom filtering.
@RobGuerra90 · X
Building – the same options data as the big platforms, at the lowest price on the market. Unusual flow for the stocks you really own, emailed instantly when it hits.

Quantitative trading toolkit for Polymarket BTC prediction markets with live performance tracking.
@WolfOfTradingCN · X
可以关注我,我最近整合了几个大平台,准备做一个线上的综合选股量化工具,polymarkt的实时量化已经有实盘模拟上线了

Create professional spec sheets and technical datasheets for manufacturers using AI templates.
@speciq_app · X
is a documentation engine that transforms unstructured product details into professional, compliant technical documents. Unlike generic AI chat tools, SpecIQ provides structured templates and branded outputs tailored for real business use.

Monitor Core Web Vitals and measure how slowdowns impact your revenue.
@AuditJet · X

Monitor your APIs, crons, and infrastructure with instant alerts and status pages.
@RulianLLP · X
Mine is - it's a "I vibe coded my app, now what?" production checklist, scanner and and active/dead man monitor to make sure you've covered all the small things that could easily break your production environment. My laravel cloud url is -

Monitor global capital flows and market sentiment using real-time financial indicators.
@Evelyn_tree1 · X
I built a dashboard that just shows me where global money is flowing. Free public data, rebuilds itself twice a day. Every indicator answers exactly one question. Is money loose or tight? Flowing where? Buying what? Risk-on or risk-off? Crowded? If it doesn’t answer one of these, it doesn’t get a slot on the board. Reading got the same treatment: a hard cap of 45 min/day → 5 RSS feeds + 5 newsletters, each rate-limited (Damodaran: about one post a month). I’d rather miss a few things than let the feed become an anxiety machine. I don’t write code. Claude Code wrote every script — fetch, build, publish, twice a day on cron. I set the rules and keep the judgment; the machine does the running. Personal research notes, not investment advice.

Analyze pull requests to understand changes, distinguish important modifications from trivial ones, and identify potential regressions.
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t