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Schema: ink.nado Table: ez_market_depth_stats Type: Base Table

What

Liquidity data taken from Nado’s Orderbook API, showing amount of liquidity at each price level.

Columns

Column NameData TypeDescription
HOURTIMESTAMP_NTZThe hour in which the stats table data was pull and inserted into the table.
TICKER_IDTEXTIdentifier of a ticker with delimiter to separate base/target.
PRODUCT_IDVARIANTThe unique id of each product. Evens are perp products and odds are spot products.
ORDERBOOK_SIDETEXTDesignates the bid or ask side of the orderbook price.
VOLUMEFLOATThe quantity for each bid/ask order at the given price level.
PRICEFLOATThe price level for each bid/ask order.
ROUND_PRICE_0_01FLOATThe price level for each bid/ask order, rounded to nearest cent.
ROUND_PRICE_0_1FLOATThe price level for each bid/ask order, rounded to nearest ten cents.
ROUND_PRICE_1FLOATThe price level for each bid/ask order, rounded to nearest dollar.
ROUND_PRICE_10FLOATThe price level for each bid/ask order, rounded to nearest 10 dollars.
ROUND_PRICE_100FLOATThe price level for each bid/ask order, rounded to nearest 100 dollars.
EZ_MARKET_DEPTH_STATS_IDTEXTPrimary key - unique identifier for each row ensuring data integrity. Format: Usually VARCHAR containing composite key generated using MD5 hash of the relevant columns. Example: MD5(blocknumber, txhash, trace_index) Usage: Deduplication in incremental loads Join operations for data quality checks Troubleshooting specific records Important: Implementation varies by table - check table-specific documentation.
INSERTED_TIMESTAMPTIMESTAMP_NTZUTC timestamp when the record was first added to the Flipside database. Format: TIMESTAMP_NTZ Use Cases: Data freshness monitoring Incremental processing markers Debugging data pipeline issues SLA tracking Query Example:
MODIFIED_TIMESTAMPTIMESTAMP_NTZUTC timestamp of the most recent update to this record. Format: TIMESTAMP_NTZ Triggers for Updates: Data corrections Enrichment additions Reprocessing for accuracy Schema migrations Monitoring Usage: