Best Financial Research Software for PostgreSQL
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Compare the Top Financial Research Software that integrates with PostgreSQL as of September 2025
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This a list of Financial Research software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.
What is Financial Research Software for PostgreSQL?
Financial research software is software to analyze market data, economic trends, and investment opportunities. It provides users with real-time financial data, historical performance metrics, and predictive analytics to support informed decision-making. The software often includes features like stock screening, portfolio analysis, risk assessment, and integration with financial news sources. It is widely used by investors, analysts, and financial institutions to conduct due diligence, develop trading strategies, and assess economic conditions. Advanced platforms may also incorporate AI-driven insights, automation, and customizable reports to enhance research efficiency. Compare and read user reviews of the best Financial Research software for PostgreSQL currently available using the table below. This list is updated regularly.
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QuantRocket
QuantRocket
QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.
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