Direct Answer

Tick data is the most granular form of market data, capturing every individual price change, quote update, and trade as it happens.

Instead of aggregated bars (1-minute candles, daily OHLC), tick data records each event in sequence with microsecond precision. This gives traders and algorithms a complete view of market microstructure.

NxCore provides tick-level data for all U.S. equities, options, and futures through a single normalized feed – with 20+ years of historical archives in the same format.

Why Tick Data Matters

If you’re building or testing trading strategies, tick data determines how accurately you can model real market behavior.

Slippage, spread dynamics, order book shifts, and execution timing all depend on tick-level precision – information that aggregated bars discard.

For strategies that operate on short timeframes or react to market microstructure, tick data isn’t optional. It’s the difference between modeling how the market actually moves and modeling a simplified approximation.

Tick Data vs. Other Data Types

Data Type What It Captures Best Use Case Information Loss
Tick data Every trade and quote HFT, scalping, execution modeling None
1-second bars OHLC per second Fast intraday strategies Intra-second dynamics lost
1-minute bars OHLC per minute Swing trading, charting Significant – hides spread changes
Daily bars OHLC per day Position trading Most intraday information lost

 

A 1-minute bar shows where price opened, the high, low, and close. Tick data shows the 500 individual trades and 2,000 quote updates that happened within that minute – the actual path price traveled.

How NxCore Delivers Tick Data

NxCore captures and normalizes every tick from:

  •       All U.S. equity exchanges – NYSE, NASDAQ, ARCA, BATS, IEX, and regional exchanges
  •       Complete OPRA options feed – every strike, every expiration
  •       CME Group futures – ES, NQ, CL, GC, and all listed contracts

Key features:

  •       Microsecond timestamp precision
  •       Consistent format across all asset classes
  •       Same structure for live and historical data
  •       20+ years of tick-level archives
  •       No sampling or aggregation during high-volume periods

How Tick Data Works

  1. Exchanges generate raw events  – every trade and quote is timestamped and broadcast
  2. NxCore normalizes the stream – proprietary formats converted to consistent schema
  3. Delivery to your system  – via API or callback with sub-millisecond latency
  4. Sequential processing – your algorithms process each tick in order
  5. Storage for backtesting – historical archives in identical format to live feed

NxCore vs. Other Tick Data Providers

Feature NxCore Aggregated data APIs Curated dataset platforms
Tick completeness Full, gap-free Generally complete Generally complete
Asset coverage Equities + options + futures Equities + options Equities + futures + options
Historical depth 20+ years ~5 years Varies
Format consistency Single format, all assets Multiple endpoints Multiple schemas
Pricing Flat fee, unlimited Usage-based Usage-based
Timestamp precision Microsecond Nanosecond available Nanosecond available

 

NxCore’s advantage: one integration, one format, flat pricing, and the deepest historical archive available.

Real-World Example

A scalping strategy trading on spread dynamics needs to know:

  •       When the bid moved and by how much
  •       When the ask moved relative to the bid change
  •       How quickly the spread widened or compressed
  •       Whether liquidity disappeared before a price move

A 1-minute OHLC bar shows none of this. It might show price moved from 100.50 to 100.55, but can’t reveal whether the spread blew out midway through, whether a large seller swept the bid, or whether the move happened in the first second or the last.

With NxCore tick data, the scalper sees every micro-movement that determines fill quality and slippage.

Common Mistakes

  •       Using bar data to test tick-sensitive strategies – minute bars produce misleading backtest results
  •       Ignoring timestamp precision – second-level timestamps can’t sequence millisecond events
  •       Assuming all tick datasets are complete – some vendors sample during high volume
  •       Not accounting for exchange formats – raw NASDAQ data looks different from NYSE
  •       Mixing vendors without validation – timestamp conventions and sequencing vary
  •       Underestimating storage needs – tick data for U.S. equities can exceed 10GB daily

Frequently Asked Questions

Is tick data the same as Level 2 data?
 No. Tick data is granularity (every event captured). Level 2 is depth (full order book). You can have tick-level trades without Level 2 depth. NxCore provides both.

How much storage does tick data require?
 Substantial. The full U.S. equity market produces hundreds of millions of ticks daily. NxCore handles storage and delivery – you access via API.

Do all exchanges provide tick data?
 Yes, but formats vary. NASDAQ uses TotalView, CME uses MDP, options use OPRA. NxCore normalizes all of them into one consistent format.

Can I backtest without tick data?
 Yes, for daily or swing strategies. Anything sensitive to execution timing or spread dynamics needs tick data.

What’s the difference between tick data and real-time data?
 Real-time = delivery speed. Tick data = granularity. You can have real-time minute bars (fast, low granularity) or historical tick data (not live, full granularity). NxCore provides both real-time and historical tick data.

What to Do Next

Evaluate whether your strategy depends on microstructure – spread behavior, order flow, sub-second timing, or execution modeling.

If it does, you need tick data for both backtesting and live trading. NxCore provides 20+ years of gap-free tick history in the same format as the live feed – one integration for research and production.