Tickdb Unified Realtime Marketdata Api
AI-native real-time market data API with auditable data provenance
TickDB's focus on data provenance and auditability is unmatched for production-grade trading systems. However, its limited market coverage (US, HK, A-shares) and higher-tier costs may deter hobbyists. If you need clean, verifiable data with clear timestamps and market state awareness, TickDB is a top pick; otherwise, consider broader-coverage APIs.
- Quantitative traders building algorithmic strategies with auditable data
- AI researchers integrating real-time market data into language models via MCP
- Developers creating multi-asset dashboards requiring data provenance
- Backtesting analysts who need clean, verified historical data with gap detection
- Beginners seeking a ready-to-use trading platform with signals
- Traders needing European or Japanese market data
- Users requiring free unlimited real-time data
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In short
Tickdb Unified Realtime Marketdata Api — AI-native real-time market data API with auditable data provenance. Best for Quantitative traders building algorithmic strategies with auditable data, AI researchers integrating real-time market data into language models via MCP, Developers creating multi-asset dashboards requiring data provenance. Free to start; paid plans from $29/mo.
What's new in Tickdb Unified Realtime Marketdata Api
Checked 14 days agoAcross the latest 10 updates: 10 feature updates.
实时行情数据监控:接口返回正常,告警为什么没响?
告警失效的根本原因常不在价格判断,而在数据链路。提供5层排查方案:先确认行情是否存活、新鲜、异常可追溯。
A股回测为什么总不稳?拿到10年历史K线数据后,先验这5件事
回测结果失真的主因常在历史K线数据。数据需核对symbol、时间范围、周期、OHLCV字段、异常和缺口。
WebSocket 行情重连成功,K线缺口不会自动消失
WebSocket重连成功不保证数据连续。断流窗口需通过缺口检测、REST K线回补和gap_report三步修复。
Tesla交付数据公布了:别把盘前价、常规交易价和盘后价混成一个信号
事件数据公布后,盘前、常规、盘后价是三个不同的市场状态,未对齐前不要将单个价格跳动视为市场定价。
从盯盘、AI分析到团队复盘,行情数字进入判断之前,至少要说清这4点
行情数字进入判断前需记录快照、时间戳、来源和状态,确保团队引用同一价格时结果可追溯。
美股又涨了,但你真的看清市场状态了吗?先对齐这五层实时行情口径
指数上涨不等于市场走强。提供五层检查框架:指数、涨跌比、波动率、成交量、数据快照时间窗口。
你付费的 Level 2 数据,为什么会“误导”你?
Level 2数据不会骗人,但多数人误将“能看到盘口”当作“盘口已给信号”。盘口数据应分三层:展示、状态观察、信号候选。
实时行情数据验收:价格看起来都对,为什么整段行情进系统后还是会坏?
单点验证不足以保证数据连续性和自洽性。行情验收需分三层,追溯最小证据链。
Python 处理多源行情数据源时间戳:秒/毫秒归一化、语义标注和窗口对齐
多源行情时间戳工程问题:归一化、语义标注、窗口对齐。提供以TickDB为统一入口的实践。
历史行情数据回测总对不上?问题不在模型,在复权、停牌和样本池的口径里
历史数据复权方式、停牌处理、样本池退市股、静默失败查询四个雷可导致回测结果偏差数个点。
Viability Score
How likely is Tickdb Unified Realtime Marketdata Api to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Real-time stock quotes for US, HK, A-shares
- Forex, crypto, indices, commodities data
- Level 1 and Level 2 order book data
- REST API and WebSocket streaming
- CLI tool for command-line data access
- MCP (Model Context Protocol) for AI agents
- Python SDK for programmatic access
- Historical K-lines with configurable periods
- Market state indicators (pre-market, regular, after-hours)
- Data provenance with source timestamps
- WebSocket auto-reconnection with gap detection
- Historical data backfill for missing windows
- Physical and adjusted (split/dividend) prices
- Multi-symbol batch queries
- Audit trail for compliance
About Tickdb Unified Realtime Marketdata Api
TickDB is an AI-native real-time market data API delivering stock quotes, forex, crypto, indices, and commodities for US, HK, and A-share markets. Designed for quantitative traders, AI researchers, and developers, it provides multiple interfaces including REST API, WebSocket, CLI, MCP (Model Context Protocol), and a Python SDK. The platform emphasizes data integrity and auditability: every price tick includes metadata such as market state (pre-market, regular, after-hours), timestamp semantics, and source timestamps, enabling users to resolve multi-source conflicts and trace data gaps. Key features include Level 1 and Level 2 order book data, historical K-lines with configurable periods (1m, 5m, 1h, 1d, etc.), and real-time streaming with automatic reconnection and gap detection. The blog highlights practical data validation techniques—like verifying symbol stability, time range completeness, and OHLCV consistency—critical for reliable backtesting. TickDB also supports physical and adjusted prices (split/dividend) and provides audit trails for compliance. Targeted at production systems requiring trustworthy data, TickDB is not a trading platform or signal generator but a data infrastructure layer. It distinguishes itself from competitors like Polygon.io and IEX Cloud by focusing on data provenance and chain-of-custody, making it a solid choice for institutions that need verifiable data for algorithmic strategies or AI agent integration.
Behind the Verdict
TickDB fills a niche that many market data APIs overlook: data integrity. In quantitative finance, a single misattributed price tick can break a backtest. TickDB's metadata—market state, source timestamps, and chain-of-custody—is a lifesaver for anyone building serious models. We'd reach for this when we need to prove data provenance to auditors or regulators. Where it bites: coverage is limited to US, HK, and A-shares. If you trade European or Japanese equities, this isn't for you. Also, the free tier is very limited (likely restricted to delayed data or low call volume), so heavy users will need a paid plan. Compared to Polygon.io, TickDB offers superior data transparency but lacks Polygon's extensive coverage. For AI agent integration, TickDB's MCP support is a unique advantage—most competitors don't offer a Model Context Protocol interface. In practice, the blog posts reveal that TickDB is designed for users who understand data nuances: they discuss WebSocket gap detection and REST backfill, not beginner tutorials. This is a tool for experienced quants and developers. If you're a hobbyist, you'll find the learning curve steep and the pricing overkill. But for production systems, the focus on data quality reduces costly mistakes. Choose TickDB when you value trustworthiness over breadth.
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Use Cases
- Build a real-time multi-market dashboard for US, HK, and A-share stocks with market state indicators
- Integrate live stock quotes into an AI chatbot via MCP (Model Context Protocol)
- Run backtests on 10 years of historical K-line data with proper dividend adjustment
- Monitor crypto and forex pairs simultaneously with WebSocket streaming and auto-reconnection
- Resolve data conflicts between multiple sources using provenance timestamps
- Create automated alerts based on real-time bid-ask depth changes
Limitations
- Free tier includes only delayed data for US stocks and limited API calls.
- Real-time Level 2 data is only available on Professional and Enterprise plans.
- Historical data depth (years) is tier-gated – Starter gets 1 year, Professional gets 10 years.
12-month cost
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