Best Financial Research Software for Linux

Gain insight into the risk-return profile of your investments and take advantage of comprehensive technical, fundamental and quantitative analysis to make smarter investment decisions. Statmetrics offers an all-in-one solution for portfolio analytics and investment research. Statmetrics is optimized for use on android mobile devices and allows to access global market data and news, monitor and screen markets, perform charting and technical analysis, construct and backtest multiple multi-asset portfolios, apply portfolio risk-return optimization strategies, analyze the fundamental and quantitative characteristics of portfolio or potential investments.

Koyfin is a global market analytics platform for researching and understanding markets. From bottom-up fundamentals to top-down macro analysis, our platform, powered by Capital IQ, is trusted by more than 300,000 investors. We offer global coverage of equities, analyst estimates, transcripts, filings, screeners, financials, charting, model portfolios, macro data and custom dashboards.

TipRanks is a multi-award-winning stock research platform designed to help retail investors make data-driven decisions. The platform provides investors with institutional-level data and tools, presented in a visual and easy-to-use way. TipRanks levels the playing field for retail investors by giving them the same research power as the biggest asset managers. Its unique data includes analyst rating consensus, news analysis, a stock score called the Smart Score, and more. Additionally, TipRanks tracks the buy and sell recommendations and transactions of over 100,000 financial experts and ranks experts according to their performance track record. This transparency enables investors to see how experts rank. TipRanks even shows how experts perform on a per-stock basis. TipRanks has become the standard for Wall Street accountability. More than 50 leading global banks, institutions, and exchanges integrate TipRanks tools for their clients. TipRanks also provides data to hedge funds.

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.