Direct Answer
Exchange-level market data is raw, real-time data delivered directly from an exchange’s matching engine – every trade, quote update, and order book change as it occurs.
Unlike consolidated feeds that aggregate data from multiple venues, exchange-level data provides the highest fidelity, lowest latency, and most complete view of market activity at each venue.
NxCore normalizes exchange-level data from all major U.S. markets into a single feed – same format for NYSE, NASDAQ, OPRA options, and CME futures.
Why Exchange-Level Data Matters
The quality of your data source determines how accurately you see the market.
Exchange-level feeds offer the most precise tick data, deepest order book visibility, and fastest updates – essential for execution, modeling, and algorithmic trading.
Consolidated feeds introduce delays and information loss. Exchange-level data shows you the market as the exchange sees it, not a smoothed approximation.
Exchange-Level vs. Consolidated Feeds
| Feature | Exchange-Level Feed | Consolidated Feed |
| Source | Single exchange, direct | Multiple exchanges, aggregated |
| Latency | Lowest (microseconds) | Higher (aggregation adds delay) |
| Depth | Full Level 2 | Often limited to top of book |
| Tick fidelity | Complete | Aggregated during high volume |
| NBBO accuracy | Single venue contribution | National best bid/offer |
| Cost | Higher (per-exchange fees) | Lower (combined fee) |
| Best for | HFT, execution, market making | Charting, compliance |
Consolidated feeds like CTA/UTP combine quotes from all exchanges into NBBO. Useful for seeing overall market, but hides venue-specific depth and adds latency.
How NxCore Delivers Exchange-Level Data
NxCore provides exchange-level data from:
- All U.S. equity exchanges – NYSE, NASDAQ, ARCA, BATS, IEX, regional exchanges
- Complete OPRA options feed – all options exchanges, all strikes
- CME Group futures – CME, CBOT, NYMEX, COMEX
Key benefits:
- Single normalized format across all exchanges
- No need to parse ITCH, Pillar, MDP, or OPRA separately
- One vendor relationship instead of multiple exchange contracts
- Flat-fee pricing regardless of data volume
- Sub-millisecond delivery from normalization
How Exchange-Level Data Works
- Exchanges generate raw events – orders, trades, and quotes timestamped at matching engine
- Each exchange uses proprietary protocols – ITCH, Pillar, MDP, PITCH
- NxCore normalizes all formats – converted to consistent schema
- Single delivery to your system – via API or callback
- Real-time processing – algorithms act on normalized, sequenced data
NxCore vs. Direct Exchange Connections
| Approach | NxCore | Direct Exchange Feeds |
| Integration effort | Single API | Multiple protocols per exchange |
| Format handling | Pre-normalized | You parse each format |
| Vendor management | One relationship | Multiple exchange contracts |
| Cross-asset coverage | Equities + options + futures | Separate per asset class |
| Pricing | Flat fee | Per-exchange fees |
| Historical data | 20+ years, same format | Varies by exchange |
Direct exchange feeds offer maximum control but require significant integration work. NxCore provides exchange-level quality with simplified delivery.
Real-World Example
A market-making firm quoting on NASDAQ needs to see order book changes before competitors react.
Requirements:
- Depth across multiple price levels
- Real-time liquidity changes
- Microsecond timestamps
- Accurate event sequencing
Using a consolidated feed would add milliseconds of delay and lose venue-specific depth. By the time consolidated data shows a change, faster participants have already reacted.
With NxCore, the firm receives NASDAQ depth alongside NYSE, options, and futures – all normalized. One integration, consistent format, no protocol parsing.
Common Mistakes
- Assuming all exchanges provide identical depth – depth varies by exchange and subscription tier
- Using consolidated feeds for latency-sensitive strategies – aggregation delay matters for execution
- Ignoring exchange-specific formats – each exchange has different protocols and timestamp precision
- Mixing data sources without normalization – combining raw NYSE and NASDAQ data produces inconsistencies
- Underestimating bandwidth – exchange-level feeds generate gigabits per second
- Overlooking licensing complexity – exchange fees vary by use case
Frequently Asked Questions
Is exchange-level data the same as Level 2 data?
Level 2 (depth) is one component of exchange-level data. Full exchange feeds also include trades, imbalances, and auction information. NxCore provides complete exchange-level data including depth.
Why is exchange-level data faster than consolidated feeds?
It comes directly from the matching engine without passing through consolidation. The SIP introduces latency by collecting and merging data from all venues.
Do all exchanges offer depth-of-book data?
Most major exchanges offer depth products. NASDAQ TotalView, NYSE ArcaBook, and CME Market Depth are examples. NxCore provides access to full depth from supported exchanges.
What does NxCore cost compared to direct exchange feeds?
NxCore uses flat-fee pricing covering multiple exchanges in one package. Direct feeds require separate contracts and per-exchange fees. Total cost depends on your usage, but NxCore simplifies budgeting.
Do I need exchange-level data for backtesting?
Only if your strategy depends on microstructure or execution timing. NxCore provides 20+ years of exchange-level historical data.
What to Do Next
Evaluate whether your strategy requires venue-specific depth, microsecond timing, or multi-asset coverage.
NxCore provides exchange-level data quality with simplified integration – one feed, one format, flat pricing across equities, options, and futures.
