Zalingo Synthetic Finance — Market Ticks (L1) — 100k
Synthetic Tabular Data
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£249
About
Zalingo Synthetic Finance — Market Ticks (L1) — 100k Core Sample (Parquet)
A 100,000-row synthetic Level-1 ticks sample spanning multiple symbols and venues. Includes last trade, top-of-book, sizes, and basic trade qualifiers—ideal for pipeline QA, charting, feature exploration, and demo dashboards. No licensed market IP and no PII.
Need microstructure signals or larger volumes? See our Focused (adds mid-price, spread, imbalance, short-horizon returns, realised volatility) and Premium Evaluation Kit (~1M rows) listings.
Dataset Features (representative)
- Core L1:
symbol
,ts_utc
,last_price
,bid
,ask
,bid_size
,ask_size
,trade_size
,trade_cond
,venue
,currency
- Derived (basic):
mid_price
(optional),spread
(optional) (Columns may vary slightly; see the preview file for the exact schema.)
Distribution
- Format: ZIP containing Parquet data (
100k_sample.parquet
), sample_100.csv (preview), and schema.json - Volume: 100,000 rows, ~10–18 columns
- Approx Size: 3–6 MB zipped (symbol and venue mix dependent)
- Structure: single Parquet (or a few shards); multi-symbol coverage
Usage
- Data pipeline tests — readers, schema validation, partitioning checks
- Exploratory analytics — price/volume exploration, quick visuals
- Feature trials — simple microstructure and return features
- Education & demos — safe examples without exchange IP constraints
Coverage
- Symbols/Venues: Multi-symbol synthetic coverage with venue tags
- Time Range: Recent synthetic window with intraday seasonality
- PII: None — fully synthetic; not re-identifiable
Who Can Use It
- Quants/Data Scientists — feature exploration & baselines
- Engineers/Platform — ingestion and schema contract testing
- Product/Analytics — dashboards and KPI sandboxes
- Vendors/SIs — demo environments, connector validation
Notes / Disclaimers
- Synthetic market data; not sourced from any exchange/venue.
- Not for live trading or production risk decisions. Distributions are synthetic and do not represent any specific market.