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@QuantConnect

QuantConnect

Seattle

Introduction

LEAN is a radically open-source algorithmic trading engine. Used by a community of 100,000+ quants, engineers, and scientists, it is wholly modular in its design, with each component pluggable and customizable to make it suitable for every industry participant. Originally built and currently administered by QuantConnect, LEAN shifts the paradigm of power in finance to the individual and gives users the freedom to execute their ideas in research, backtesting, and live trading. Together, we endeavor to build a new infrastructure for the future of quantitative trading.

Why Sponsor?

Your sponsorship supports the developers at QuantConnect as we improve a revolutionary quantitative trading platform LEAN, in an open, collaborative way. We will continue to level the playing field with industry-grade tools and data accessibility.

The funds will be used to continue the development of LEAN’s infrastructure, create free, high-quality research and educational material, provide continued support for our community, make terabytes of data accessible, bring LEAN to global financial markets, increase live trading brokerage connections, and connect more individuals with financial institutions so individuals can gain income for their ideas at scale.

Our Goals

We aim for LEAN to be fiscally self-sustaining to ensure bug fixes and feature upgrades for decades to come. Organizations around the world have chosen to build their businesses with LEAN at the foundation, leveraging eight years of open-source contributions. Together, let's ensure LEAN's legacy.

Current sponsors 2

@lazzacapital
@algoseek-com

Past sponsors 10

@mchandschuh
@quantulab
@foranpower
@movy
@jaredbroad
@HectorBarrio
@Pi-Rr
@GitTorres
@aquanyc
@ivanrdgc

Featured work

  1. QuantConnect/Lean

    Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

  2. QuantConnect/Tutorials

    Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

    Jupyter Notebook 502
  3. QuantConnect/Research

    Open sourced research notebooks by the QuantConnect team.

    Jupyter Notebook 452
  4. QuantConnect/Documentation

    QuantConnect Wiki Style Documentation Behind QuantConnect

    HTML 158

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