Direct Answer
A real-time market data feed is a live stream of price updates, quotes, trades, and order book changes delivered directly from an exchange or data provider the moment market activity occurs.
For professional trading systems, latency is measured in microseconds. NxCore delivers normalized, tick-level data from all major U.S. exchanges – equities, options, and futures – through a single feed, eliminating the need to manage multiple vendor relationships or proprietary formats.
Why Real-Time Data Matters
Every trading workflow – charting, signal generation, execution, risk monitoring – depends on the accuracy and speed of this feed.
For high-frequency strategies, 10 milliseconds of delay can mean the difference between capturing a price movement and missing it entirely. For longer-term traders, real-time feeds ensure dashboards and alerts reflect current conditions rather than stale snapshots.
The quality of your data feed determines whether your system sees the market as it actually moves – or several milliseconds too late.
Real-Time vs. Delayed Data
| Attribute | Real-Time Feed | Delayed Feed |
| Latency | Microseconds to milliseconds | 15 – 20 minutes typical |
| Use case | Live trading, execution, HFT | Research, education, casual monitoring |
| Cost | Higher (exchange fees apply) | Lower or free |
| Tick fidelity | Full tick-by-tick | Often aggregated or sampled |
| Risk management | Suitable for live positions | Not suitable |
Delayed feeds work for learning or end-of-day analysis. Any strategy that executes trades needs real-time data.
How NxCore Delivers Real-Time Data
NxCore provides a single, normalized feed covering:
- All U.S. equity exchanges – NYSE, NASDAQ, ARCA, BATS, IEX, and more
- Full options coverage – OPRA feed with all strikes and expirations
- Futures markets – CME, CBOT, NYMEX, COMEX
The feed is delivered via a lightweight client library with microsecond timestamps and consistent formatting across all asset classes. No need to parse multiple proprietary protocols or manage separate vendor contracts.
How it works:
- Exchanges generate raw data in proprietary formats
- NxCore normalizes, compresses, and timestamps each event
- Data is delivered via API or callback with sub-millisecond latency
- Your system processes each tick in sequence
- Algorithms respond in real time
Key Concepts
- Tick-by-tick updates – every price change captured individually, not aggregated
- Bid/ask quotes – best available buy and sell prices at any moment
- Trade prints – executed transactions with price, size, and timestamp
- Order book depth (Level 2) – multiple price levels showing resting liquidity
- Level 1 vs. Level 2 – Level 1 shows top-of-book only; Level 2 reveals full depth
- Latency – time between exchange event and your system receiving it
- Normalization – converting proprietary formats into a consistent structure
NxCore vs. Other Market Data Providers
| Feature | NxCore | Aggregated data APIs | Curated dataset platforms |
| Asset coverage | Equities, options, futures in one feed | Equities, options, crypto | Equities, futures, options |
| Normalization | Pre-normalized across all exchanges | Requires separate handling | Normalized |
| Historical depth | 20+ years tick data | ~5 years | Varies by asset |
| Latency | Sub-millisecond | Low milliseconds | Low milliseconds |
| Pricing model | Flat fee, unlimited usage | Usage-based | Usage-based |
| Integration complexity | Single API, one format | Multiple endpoints | Multiple endpoints |
NxCore’s flat-fee model means no metering surprises. One integration covers all U.S. markets with consistent formatting.
Real-World Example
A market-making firm trading S&P 500 futures on the CME relies on a real-time feed to update quotes continuously.
When a large sell order hits the market, the firm’s system sees the price drop within microseconds and adjusts its bid – before competitors on slower feeds register the change.
With NxCore, the firm receives futures, equities, and options through a single normalized feed. No separate integrations. No format mismatches between asset classes.
Common Mistakes
- Assuming “real-time” means “low latency” – some vendors label 1-second updates as real-time; true tick-level feeds update on every event
- Using delayed feeds for backtesting – models trained on delayed data won’t reflect actual execution conditions
- Believing all vendors deliver identical tick fidelity – feed quality varies; some sample or aggregate ticks
- Ignoring throughput requirements – U.S. equities generate millions of messages per second
- Overlooking exchange fees – real-time data carries licensing costs that vary by use case
Frequently Asked Questions
What’s the difference between Level 1 and Level 2 market data?
Level 1 shows the best bid and ask (top of book). Level 2 reveals full order book depth – multiple price levels with size at each – giving visibility into resting liquidity.
How fast is NxCore’s real-time feed?
NxCore delivers data with sub-millisecond latency from normalization to delivery. Total latency depends on your infrastructure and proximity to NxCore servers.
Do I need real-time data for backtesting?
Backtesting uses historical data. However, your historical data should match the granularity of your live feed. NxCore provides 20+ years of tick-level historical data in the same format as the live feed.
What exchanges does NxCore cover?
All major U.S. equity exchanges, the complete OPRA options feed, and CME Group futures (CME, CBOT, NYMEX, COMEX).
How does NxCore pricing work?
NxCore uses a flat-fee model with unlimited data access. No per-query charges or usage metering.
Can I get real-time data through an API?
Yes. NxCore provides a native API with callback-based delivery. Data arrives normalized and sequenced, ready for immediate processing.
What to Do Next
Evaluate whether your strategy requires tick-level precision, multi-asset coverage, or simplified integration.
If you’re building execution systems, backtesting infrastructure, or algorithmic strategies across equities, options, and futures, NxCore provides a single feed with consistent formatting, flat-rate pricing, and 20+ years of historical depth.
