List of the Top 2 On-Prem Financial Research Software in 2025

Reviews and comparisons of the top On-Prem Financial Research software


Here’s a list of the best On-Prem Financial Research software. Use the tool below to explore and compare the leading On-Prem Financial Research software. Filter the results based on user ratings, pricing, features, platform, region, support, and other criteria to find the best option for you.
  • 1
    Koyfin Reviews & Ratings

    Koyfin

    Koyfin

    Empower your investment decisions with comprehensive market insights.
    Koyfin serves as a worldwide analytics platform designed for the research and comprehension of various markets. Our platform, which is supported by Capital IQ, is relied upon by over 300,000 investors, providing insights that range from detailed bottom-up fundamentals to overarching top-down macro analysis. We deliver comprehensive global access to equities, along with tools for analyst estimates, transcripts, filings, screeners, financial data, charting capabilities, and customizable macro dashboards. In essence, Koyfin equips investors with a robust suite of resources to navigate the complexities of the financial landscape effectively.
  • 2
    QuantRocket Reviews & Ratings

    QuantRocket

    QuantRocket

    Empower your trading strategies with flexible, customizable solutions.
    QuantRocket is a versatile platform that utilizes Python for the research, backtesting, and execution of quantitative trading strategies. Designed with Docker, it can be conveniently deployed on local machines or cloud environments, showcasing an open architecture that allows for significant customization and expansion. The platform features a JupyterLab interface and includes a comprehensive set of data integrations, along with support for various backtesting frameworks, such as Zipline—originally the backbone of Quantopian; Alphalens for alpha factor analysis; Moonshot, a backtester leveraging pandas; and MoonshotML, which focuses on walk-forward machine learning backtesting. Additionally, users can benefit from its flexibility to adapt to diverse trading needs and strategies as they evolve.
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