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金十数据专业版-为交易而生 icon

How much does 金十数据专业版-为交易而生 earn?

iOS app from Guangzhou Jinshi Information and Technology Co., Ltd. · Finance

ML forecast ★ 4.6 · 32 +14.3% MoM Paid

~2.0K/mo

ML revenue forecast. Calibrated against 2794 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the App Store, captured by our snapshot worker. Tap any image to enlarge.

金十数据专业版-为交易而生 screenshot 1 金十数据专业版-为交易而生 screenshot 2 金十数据专业版-为交易而生 screenshot 3 金十数据专业版-为交易而生 screenshot 4

金十数据专业版-为交易而生's revenue trajectory

Forecast revenue from snapshot history. Last 7 months.

Where 金十数据专业版-为交易而生 sits in Finance

Revenue distribution of 2794 comparable apps. 金十数据专业版-为交易而生 highlighted.

金十数据专业版-为交易而生 vs comparable apps

Revenue trajectory side-by-side. Bold = 金十数据专业版-为交易而生, ghosted = peers.

App spec

Version
6.37.2
Last update
May 14, 2026
Launched
May 05, 2017
Min OS
12.0
Rating
17+
Price
Free
Monetization
Paid
Languages
EN, ZH

What 金十数据专业版-为交易而生 actually does (from App Store listing)

金十数据致力于成为国内专业的财经新闻软件和交易工具。提供全球7x24小时财经资讯,实时推送外汇、期货、A股、原油、贵金属、黄金、美股港股等财经快讯与行情报价,助力投资者更快更准地进行交易。 【财经快讯】 专属推送:自定义订阅内容,推送专属财经新闻快讯; 快讯分类:增加外汇、黄金、原油、美港股、A股股票和期货等快讯分类; 速度更快:坚守7x24小时财经快讯,致力于提供更快更全的金融市场消息。 【市场参考】 分类更精:为您分类鱼龙混杂的新闻,更贴近交易者的需求。 内容更优:金融市场一线头条新闻,深度优质财经好文,专业独家财经视频节目。 【行情走势】 新增商品外汇、A股与期货分类,交易品种覆盖更全!加入自选快速浏览所关注的品种。 【财经日历】 罗列每日重点财经数据或事件,开启定时提醒,重点交易行情不容错过。 【数据中心】 全球重要财经数据报告,新增自定义订阅报告功能,全新图表样式简洁清晰。 【视频栏目】 包括《伦敦交易者》《脱水期货》《海外交易员观点》《一杭说数据》《交易学院》等财经深度分析栏目,也有《嗨指数天团》《进击吧女神》《老板说的对》《数据可视化》等有趣好玩的泛财经视频栏目。 【其他…
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🆕 What's new · v6.37.2

1.优化用户体验 使用中有任何问题或建议,请前往【侧滑页】-【意见与反馈】中告诉我们

Comparable iOS apps

The five apps in Finance with the closest revenue to 金十数据专业版-为交易而生. Click any to see its detail page.

AppRevenueRatingRatings
LemFi icon LemFi 2.0K ★ 4.8 66K
BMO Digital Banking icon BMO Digital Banking 2.0K ★ 4.8 125K
Merrill Edge icon Merrill Edge 2.0K ★ 4.6 129K
MoneySavingExpert icon MoneySavingExpert 2.0K ★ 4.8 116
MyMerrill icon MyMerrill 2.0K ★ 4.7 126K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on 金十数据专业版-为交易而生's tracker page for current rating, reviews and snapshot timeline.

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