Dataset opportunity
Valutrades — 金融交易数据集机会
Valutrades 持有的中等金融交易数据集，可用于推荐模型和欺诈检测。
Score
48
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
数据共享协议
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球大数据金融市场在 2024 年的估值为 624 亿美元，预计复合年增长率为 16.5%。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📣Press / announcement
近期为技术栈重新开发和性能优化注入了资本
source ↗
Profile
Dataset profile
Type
金融交易数据集
Modality
表格
Sector
金融
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
电子商务与个性化 AI 团队
Valutrades 持有专有的金融交易数据集，采用表格模式，汇编自全面的 business_records、event_streams 和 raw transaction_data。这些精细的数据捕获了详细的客户交易活动、订单执行和行为模式，是训练和验证复杂的推荐模型以增强产品个性化和客户参与度的理想资产。
大数据金融市场，该数据在此市场中具有重要价值，2024 年估计为624 亿美元，预计将以16.5% 的复合年增长率增长 [6]。虽然访问受英国金融行为监管局 (FCA) 和金融服务管理局 (FSA) 的监管监督以及匿名化敏感个人身份信息 (PII) 的需求限制，但该交易数据的稀有性和专有性使其成为寻求在快速扩张的市场中获得竞争优势的 AI 买家的宝贵资产。⚠ 尽职调查（有价值的数据，可协商访问）：FCA 和 FSA 的监管监督要求严格的数据处理合规性；交易数据是专有的，但包含需要匿名化的敏感 PII；ECN 执行日志的所有权清晰，但流动性提供商数据可能有限制 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Valutrades 拥有一个大规模的专有数据集，捕获了来自全球四百多万交易者的金融交易的完整生命周期。该数据包括精细的订单流、执行细节和独特的情绪指标，使其成为训练复杂的推荐模型的稀有资产。在一个预计年增长率超过 16% 的金融数据市场中，该数据集为开发面向高价值用户群的高级个性化引擎的 AI 团队提供了独特的优势。
See dimension details ↓- Dataset Specificity78
主导的“transaction_data”，金融行业，2 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI 买家需求异常高，这得益于 624 亿美元大数据金融市场 16.5% 的快速复合年增长率。[6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit75
⚠ 审查 — Valutrades 是一个糟糕的目标，因为其核心业务是提供交易服务，并且已经向其客户提供智能产品（信号、分析）和数据 API（FIX API）。问题：公司核心业务是提供金融市场准入和智能，而不是作为非数据相关活动的副产品生成数据；；已经提供 FIX API 以实现直接市场准入和算法交易，这是一种数据/智能产品形式。[7, 13, 14]；；向客户提供交易信号和市场分析工具，这符合销售智能的定义。[2, 9, 16]
- Deep Qualification80
✓ 通过 — Valutrades 是一家受监管的外汇和差价合约经纪商，其核心业务产生了高度可信的金融交易数据集。然而，数据商业化受到英国金融行为监管局 (FCA) 和金融服务管理局 (FSA) 的严格监管监督以及敏感的个人客户数据存在的限制。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该公司直接从其电子通信网络 (ECN) 生成高保真表格数据，捕获了精细的执行和订单流细节，这些细节对于建模市场微观结构和用户决策至关重要。
business_records
Valutrades 持有关于四百多万交易者的广泛纵向业务记录，提供了对全球交易行为的深入历史视图，非常适合构建稳健的用户细分和个性化模型。
Event streams
该数据集包括独特的时间序列事件流，例如从聚合客户头寸派生的专有情绪指标，为任何推荐引擎提供了强大且具有预测性的功能。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Valutrades Financial Transaction — a Moderate financial transaction dataset (Tabular modality) in the finance domain. Primary AI use-case: Recommendation Models. Market signal: Global Big Data Finance Market was valued at $62.4 billion in 2024, with a projected CAGR of 16.5% (source: vertexaisearch.cloud.google.com). [6]. Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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