Feeds fast enough to trade on
Low-latency live scores and odds movement, streamed straight into your trading and risk systems — millisecond timestamps, persistent WebSocket delivery and full line movement history for strategies that need to react fast.
Millisecond Updates
Odds and score changes pushed with minimal lag and precise timestamps.
Line Movement History
Track and analyze how markets moved before, during and after a match.
WebSocket Streaming
Persistent connection with pushed updates — no polling required.
Dedicated Infrastructure
Enterprise SLAs and guaranteed throughput for trading workloads.
Multi-Book Normalization
Odds from different bookmakers mapped to one consistent market schema.
Reconnect & Replay
Sequence numbers and replay support so a dropped connection doesn't lose data.
Match State Events
Goals, cards and other in-play events pushed alongside price changes.
Multi-Sport Streams
Subscribe by sport, competition or fixture across every major sport.
Who trades on Orbistats
The same low-latency stream supports a range of trading and market-making workflows, from single-book pricing to cross-book arbitrage.
Market Makers
Stream millisecond odds and match events to quote and adjust prices in fast-moving in-play markets.
- Persistent WebSocket connection, no polling delay
- Sequence numbers for reliable, ordered updates
- Match events pushed alongside price changes
Cross-Book Arbitrage
Compare normalized odds across bookmakers in real time to identify and act on pricing gaps.
- Odds normalized to one market and outcome schema
- Low-latency delivery across multiple books at once
- Works alongside the Sportsbooks & Trading solution
Quant & Strategy Research
Backtest trading strategies against historical line movement before deploying against the live stream.
- Line movement history alongside the live feed
- Historical and live data share one schema
- Bulk export for multi-season strategy research
Risk & Exposure Systems
Feed live match state and price movement into risk systems to flag and adjust exposure in real time.
- Match state and events for in-play risk triggers
- Reconnect and replay support to avoid data gaps
- Dedicated infrastructure for guaranteed uptime
What you get back
A representative slice of the fields pushed over the WebSocket stream and available in line movement history — full field-by-field detail is in the API Reference.
| Field | Type | Description |
|---|---|---|
fixture_id | string | Stable match identifier shared across the stream and REST endpoints |
market | string | Market type — e.g. 1X2, spread, total, player_props |
bookmaker | string | Source bookmaker for this price, normalized to a shared bookmaker ID |
price | number | Decimal odds for the outcome at the time of the update |
sequence | integer | Monotonic sequence number per channel, used to detect gaps on reconnect |
updated_ms | integer | Server-side timestamp in milliseconds for the price or event update |
event_type | string | Match event type — goal, card, substitution — pushed alongside price changes |
status | string | Match state — scheduled, live, suspended, finished — used to gate in-play pricing |
sequence number per channel — check it on reconnect and use the replay endpoint to backfill any gap before resuming live consumption.
wss:// live odds stream
Subscribe to real-time odds movement — the subscription payload, and consuming the stream in Python.
{
"channel": "odds.movement",
"sport": "football",
"market": "1X2",
"since_sequence": 88213
}
ws = client.stream.subscribe(channel="odds.movement", sport="football")
def on_update(msg):
if msg["market"] == "1X2":
quote_price(msg)
ws.on_message = on_update
ws.run_forever()
See the full Live Odds Stream example for a complete, runnable walkthrough.
Streamable across every major sport
Odds and match events share the same field shapes whether you're streaming one market or a full multi-sport book.
Common questions
What is a trading desk sports data feed?
A trading desk sports data feed delivers live odds, line movement and match state at low latency, typically over a persistent streaming connection, so a trading or market-making system can react to price and market changes close to real time.
How is this different from the Sportsbooks & Trading solution?
Sportsbooks & Trading is built around pricing a book end-to-end, while this solution focuses specifically on the raw low-latency stream — line movement history, WebSocket delivery and dedicated infrastructure — for desks doing market-making, arbitrage or quantitative trading on top of sports odds.
What latency can I expect from the WebSocket stream?
Updates are timestamped in milliseconds and pushed over a persistent WebSocket connection rather than polling, so consumers see price and score changes as they're published rather than on a fixed interval delay.
Can I get historical line movement, not just live?
Yes. Line movement history is available alongside the live stream, so a strategy can be backtested against how odds actually moved in past matches before being deployed live.
Do you offer dedicated infrastructure for high-throughput trading?
Yes. Self-serve API keys work for development and testing, and dedicated infrastructure with enterprise SLAs is available for trading workloads that need guaranteed throughput and uptime.
Which markets and sports are available on the stream?
Core markets such as moneyline/1X2, spreads and totals stream across football, basketball, American football, tennis, cricket, baseball and more, with additional markets available for major leagues.
Related pages
Explore more of the platform.
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Self-serve API keys for developers today — dedicated infrastructure, custom feeds and SLAs when you're ready.