金融商业1 month ago
Netcase AI — Financial Forecasting for Credit Professionals
分析信用，预测财务前景以支持贷款决策。
@caseyyoshi · X
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技术栈
23 projects
分析信用，预测财务前景以支持贷款决策。
@caseyyoshi · X
查看Kalshi和Polymarket预测市场的ML预测和性能指标。
@precisionalgo · X
在 Polymarket 和 Kalshi 预测市场之间寻找价格差异。
@b1llymane · X
startup #1 of 12 this year: it catches sportsbooks pricing the same game differently, bet both sides, profit either way. mostly built between 11pm and 3am, which felt thematically correct
MirrorQuant 为 Polymarket BTC 预测市场提供专业量化交易工具和实时交易信号。
@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
在Solana区块链上交易关于体育、选举、加密货币和经济结果的预测。
@Zachhhh_C · X
0, its product ready
在Hyperliquid上交易基于真实头寸的预测市场币。
@0x_why85 · X
RT @outmarkdotfun: is live. A launchpad on HyperEVM for tokens paired with HIP-4 prediction markets from @Hyperliq…
分析商业创意并在90秒内生成财务预测和风险场景。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.
通过交互式分析工具和实践学习掌握股票市场基础知识。
@ak_stan001 · X
Built making stock market education practical with real analysis tools and hands-on learning.
使用自动化承保和敏感性分析来分析酒店投资。
u/Additional-Study2600 · Reddit
Yaay!!! I finally got some subscribers to my platform after 6 weeks… any growth tips? Hey yall I’m super excited because after months of vibe coding and sleepless nights learning about repos, PRs, branches and commits to main lol I finally have a product I’m proud of and my first real revenue! The platform is called Underwrote.AI. it’s B2B and it’s somewhat niche… it’s underwriting software for hotel acquisitions (think institutional-grade Excel models, generated from a guided workflow). O
用校准概率和回测提供股票、加密货币及商品的 AI 价格预测。
@iqbal_saqi2522 · X
- An AI-based Prediction System
通过分析 Stripe 交易数据识别流失风险客户。
@mustloyaltide · X
everyone’s building with ai right now. i built something that deliberately doesn’t use it, just plain stripe data and some rules. turns out that’s enough to catch a customer before they leave. if you want to see it.
