Market Data Guides — Source Selection & AI Workflows | TickDB Blog · Page 2
Choose a market data API, fetch quotes with Python and check historical data for backtests. Explore code examples, WebSocket reconnection guides and AI data workflows.
At one moment, at one gold price, the daily change can read −0.69% or +0.24%. In a cross-market data app, the number users screenshot and complain about is rarely the price. It's the red or green p…
Wiring a market data API into a dashboard takes three days. The rework that follows launch almost always comes from numbers on the screen that can't say what they are. In one test, a China A-share'…
One stock, one Friday night, three "latest prices" — and a $9,500 gap on a 10,000-share position. Nasdaq plans to move to near 23-hour trading on December 6. If your data stack can't answer five ba…
A certain HK stock strategy showed stable performance in backtesting. After running live for a month, the returns were nearly half off. It wasn't a complete mismatch—it was the kind of deviation th…
Essential Data Sources for A-Share Investors: Comparing Three Options — Which Is Best for Real-Time Quotes and Backtesting? Building a watchlist dashboard and backtesting a multi-year strategy both…
Our team has been building market data charting systems for years. From the earliest market K-line integrations to cross-market dashboards spanning A-shares, Hong Kong stocks, and US stocks, the pi…
Building a Three-Market Stock Dashboard with TickDB: From Market Data APIs to an Interactive Page Put your watchlist of A-shares, US stocks, and Hong Kong stocks on a single page—quotes on the left…
Most people assume National Day means "no markets" for quantitative trading. A-Shares closed for 7 days, Hong Kong stocks essentially fully open, U.S. stocks running normally throughout, forex mark…
We've been building market chart systems for a few years now — starting with single-market candlestick charts, graduating to multi-market dashboards spanning A-shares, Hong Kong, and US equities. In b
In September 2026, a model called Jev went viral in the AI world. It doesn't write articles, hold conversations, or generate code. It does exactly one thing — make decisions. Quantitative traders were
If you're building a real-time market monitoring dashboard — CN stocks, HK stocks, US stocks, multi-market, any of it — chances are you'll hit a wall at the data integration step. Not because you can'
When I first built a China A-share strategy in Python, I pulled daily OHLCV kline data, ran a backtest, and the equity curve looked good. I thought the data layer was done. Then the bugs arrived one b