Building Financial AI Agents With Real-Time and Historical Market Data
Why financial AI agents need structured market data APIs instead of web search, and how to wire prices, OHLCV, and fundamentals in as agent tools.
Category · Developer Tutorials
Developer Tutorials
Practical guides for using the SiftingIO API and WebSocket streams.
Latest in Developer Tutorials
What Is OHLCV Data and Why It Matters in Market Data APIs
OHLCV bars compress raw trades into open, high, low, close, and volume. Learn what they record, why APIs serve them, and how to pull them cleanly.
How to Get Real-Time Forex Prices in Python
Get real-time forex prices in Python: a requests call for a snapshot, a websockets feed for live updates, the official siftingio SDK with sync and async clients, and buffering ticks into a pandas DataFrame.
REST vs WebSocket for Real-Time Market Data: When to Use Each
REST or WebSocket for live market data? A plain guide to how each works, when to pull on demand versus stream, why fast polling scales badly, and how to use both together.