概览
主要功能
- 以 AI 为驱动的多因子股市评分
- 可自定义的股市筛选工具
- 基本和技术数据集成
- 相对分析
- 历史评分跟踪
- 看板和投资组合见解
价格
- 模型
- Freemium
- 评分
- 4.6 / 5 (5)
使用场景
筛选 stocks 依据因子评分
使用基于因数的 AI 动力评分进行筛选，从而快速表面适合特定投资策略的股票
横向比较公司
评估多只股票在因数上的分解，帮助投资者优先考虑应该更加深入研究的股票
监控评分的演变
监测股票因子评分的历史变化以发现趋势变化、确认假设持久性并支持更有纪律、基于规则的投资决策
建立和监测 watchlists
保持 watchlists 和投资组合以多因子见解富饶化，使普通投资者和分析师在进行持续监测时具有可持续的数据层
优点 & 缺点
优点
- 清晰的基于因子的评分系统
- 节省初始股市筛选时间
- 将多个数据信号整合为一个视图
- 有助于系统化、根据规则投资
- 依赖于潜在模型假设的评分
- 有限价值对于高度基于研究的研究
- 覆盖范围在小规模市场中可能会有所限
缺点
- 依赖于潜在模型假设的评分
- 有限价值对于高度基于研究的研究
- 覆盖范围在小规模市场中可能会有所限
对决战绩
在万神殿中参与了 1 对决。
Last battle
评测
5 个评分的平均值。
登录以留下评测。
Use it every day
Honestly didn't expect to like it this much. AI-driven multi-factor stock scoring is exactly what I needed, and saves time on initial stock screening. I do wish coverage may vary across smaller markets, but I reach for it almost every day now and it just clicks.
Does the job
Pretty happy overall. Comparative analysis across equities just works and saves time on initial stock screening. but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and saves time on initial stock screening. Fundamental and technical data integration fits neatly into how we already work, and customizable stock screening tools removed a step we used to do by hand. Scores depend on underlying model assumptions, which is the main caveat, but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on watchlists and portfolio insights, and combines multiple data signals into one view caught me off guard. still, I'd recommend giving it a real trial.
Years in this space
I've evaluated a lot of these over the years. What stands out here is historical score tracking — handled better than most — and saves time on initial stock screening. Coverage may vary across smaller markets is my one real gripe. Worth the time if this is your use case.
问答
暂无问题 — 来当第一个提问的人吧。
提问
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