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Institutional-grade financial data refined for machine learning and quantitative research.

AlgoSeek is a premier financial data provider specializing in the curation of high-fidelity market data optimized for quantitative analysis and machine learning. As of 2026, AlgoSeek has positioned itself as the foundational layer for financial LLMs and algorithmic trading systems by offering 'Machine Learning Ready' datasets that eliminate the heavy lifting of data cleaning and normalization. Their technical architecture focuses on providing tick-level and intraday bar data across Equities, Futures, Options, and Forex. A key differentiator in their 2026 market position is their proprietary 'Equity Master' symbology, which tracks corporate actions and symbol changes with 100% survivorship-bias-free accuracy. This allows institutional researchers to simulate historical environments with surgical precision. The data is delivered through modern cloud native pipelines, supporting Parquet and Avro formats for high-speed ingestion into distributed computing frameworks like Spark and Snowflake. AlgoSeek remains the gold standard for firms requiring millisecond-resolution data for alpha generation, risk management, and training deep learning models on market microstructure.
AlgoSeek is a premier financial data provider specializing in the curation of high-fidelity market data optimized for quantitative analysis and machine learning.
Explore all tools that specialize in quantitative backtesting. This domain focus ensures AlgoSeek delivers optimized results for this specific requirement.
Comprehensive symbology database tracking every ticker change, merger, and name change since 2007.
Pre-cleaned, normalized data delivered in columnar Parquet format for direct ingestion into ML models.
Provides every single trade and quote with millisecond timestamps from SIP and Direct feeds.
Automatic calculation of split and dividend adjustments across decades of historical data.
Metadata including sector, industry, market cap, and listing exchange linked to every ticker.
Engineered bars (OHLCV) ranging from 1 second to daily aggregates with custom session boundaries.
Rigorous data maintenance that includes delisted and bankrupt companies in the historical set.
Schedule a technical consultation to define required asset classes and historical depth.
Selection of data frequency: Tick-level, 1-minute bars, or custom intervals.
Choice of delivery format: Optimized Parquet for ML or standard CSV for legacy systems.
Configuration of delivery endpoint: AWS S3, Google Cloud Storage, or Azure Blob.
Accessing the 'Equity Master' to map symbology across the requested time-series.
Sample data validation using AlgoSeek's sandbox environment.
Implementation of 'Survivorship-Bias-Free' logic into the local backtesting engine.
Setting up automated T+1 data delivery pipelines for intraday updates.
Integration of corporate action adjustments (dividends, splits) via provided reference files.
Final production deployment and performance monitoring of data ingestion scripts.
All Set
Ready to go
Verified feedback from other users.
"Users praise the data cleanliness and the 'Equity Master' for eliminating backtesting biases, though the price point is noted as institutional-only."
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