Redbird AI automates the flow of financial data between Bloomberg Terminal and your data warehouse. Stop manually exporting market data to CSV, uploading files to cloud storage, and writing custom scripts to keep your analytics current with live market information.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Continuously ingest tick data, quotes, and trades from Bloomberg Terminal into structured BigQuery tables. Redbird monitors your Bloomberg data feeds and streams updates into partitioned tables optimized for time-series analysis, maintaining schema consistency across equity, fixed income, and derivative data.
Take portfolio positions stored in BigQuery and automatically fetch current pricing, company financials, credit ratings, and ESG metrics from Bloomberg. Redbird maps your internal security identifiers to Bloomberg tickers and updates enrichment tables on your schedule.
Push risk analytics, alpha signals, or custom calculated metrics from your BigQuery models into Bloomberg Terminal functions where traders can act on them. Redbird formats your warehouse data into Bloomberg-compatible structures and handles authentication to Terminal APIs.
Automatically capture and store Bloomberg market data, research reports, and terminal activity logs in BigQuery for audit trails and regulatory reporting. Redbird ensures complete data lineage with timestamps and handles incremental archival to optimize storage costs.
Monitor discrepancies between your proprietary BigQuery models and Bloomberg consensus estimates or market-implied metrics. Redbird runs scheduled comparisons and sends alerts when deviations exceed thresholds, with contextual data from both systems included.
Pull corporate actions, security master updates, index constituents, and calendar events from Bloomberg every morning to keep your warehouse synchronized. Redbird handles incremental updates, deduplication, and schema changes as Bloomberg adds new data fields.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Bloomberg with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both Bloomberg's financial data taxonomy and BigQuery's nested table structures, so you can move market data without becoming an expert in Terminal APIs or data warehouse schema design.
Redbird's AI natively understands Bloomberg's field naming conventions (PX_LAST, CUR_MKT_CAP, EQY_DVD_YLD_IND) and automatically maps them to clean, documented columns in your BigQuery tables. It handles Bloomberg's multi-security bulk data responses and transforms them into normalized, partitioned tables optimized for analytical queries. When Bloomberg changes data formats or adds fields, Redbird detects schema drift and suggests BigQuery table updates, maintaining backward compatibility with existing queries.
faster than building custom Bloomberg API connectors and ETL pipelines
Redbird can pull from BigQuery and Bloomberg simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or Bloomberg.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into Bloomberg, or from Bloomberg back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any event in Bloomberg Terminal or BigQuery and orchestrate work across your entire financial data stack.
Trigger when new portfolio positions, trades, or calculated metrics appear in specified tables.
Start workflows when materialized views refresh or nightly aggregation jobs finish running.
Trigger when query results exceed risk limits, detect outliers, or identify significant changes.
Write Bloomberg market data or enrichment fields into new or existing warehouse tables.
Execute analytics queries with dynamic filters based on Bloomberg data or events.
Add columns or modify partitioning when new Bloomberg data fields become available.
Trigger on price changes, quote updates, or new trades for securities in your watchlist.
Start workflows when Bloomberg publishes dividends, splits, mergers, or other corporate events.
Trigger when analyst estimates for earnings, revenue, or other metrics are updated.
Retrieve current or historical pricing, fundamentals, or derived analytics for specified tickers.
Pull security master, index constituents, calendar events, or identifier mapping tables.
Extract historical pricing, volumes, or fundamental metrics with custom date ranges and frequencies.
Join investment firms and financial teams using Redbird to automate Bloomberg data pipelines. Stop wrestling with Terminal APIs and keep your warehouse synchronized with market reality.