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Proof Trading

Proof Trading is an institutional equities broker that utilizes advanced algorithms to optimize trade execution and secure better pricing for investors. By minimizing market impact and leveraging real-time data analytics, the platform enhances transaction efficiency and reduces costs for institutional clients.

Village of Nyack, United StatesFounded 2019121K+ followers
Updated 19 months ago

Funding

$4.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

BMF
Funding rounds are not available yet.

Founders

Product

Problem

Institutional investors face challenges in achieving optimal trade execution due to market impact and opaque pricing of brokerage services. Traditional algorithmic trading platforms often lack transparency and may not fully align with the investor's objectives of minimizing costs and maximizing performance.

Solution

Proof Trading offers an institutional equities execution platform that leverages advanced algorithms and real-time data analytics to optimize trade execution and provide transparent, accountable services. As an execution-only broker dealer, Proof Trading builds algorithms designed to navigate the market on behalf of its institutional clients, minimizing market impact and enhancing transaction efficiency. The platform operates on a flexible, cloud-based infrastructure, enabling rapid iteration and continuous improvement of its algorithmic offerings. By publishing research and algo designs, Proof Trading promotes transparency and fosters trust with its clients.

Target Audience

The primary target audience includes institutional investors, US equity asset managers, and other financial institutions seeking advanced algorithmic trading solutions and transparent brokerage services.

Features

  • Algorithmic trading platform designed for institutional US equity asset managers
  • Execution algorithms that balance speed of execution with impact minimization
  • Dynamic volume prediction model for VWAP (volume-weighted average price) execution
  • Aggressive liquidity-seeking algorithm that optimizes the scheduler to meet a target POV (percentage of volume)
  • Cloud-based trading platform for rapid deployment and scalability
  • FIX gateways for seamless integration with existing trading infrastructure
  • Real-time data analytics for monitoring and optimizing trade performance
  • Publicly available research and algorithm designs for transparency and accountability
This profile is AI-generated and may contain inaccuracies.