QNNs for Stock Price Trend Prediction background cover

QNNs for Stock Price Trend Prediction

Develop quantum neural network models using PyTorch to predict stock price trends based on limit order book data.

Pierre-Augustin Fehr

Hosted by

Pierre-Augustin Fehr

Overview
Docs
Code
Rules
Discussion
Leaderboard

Rules

By default all competitions must comply to the rules defined in aqora's Terms of Use

Competition Period

  • Held online from November 1st, 2024, to February 28th, 2025, 11:59PM GMT.

Eligibility

  • Open globally, except where prohibited by Aqora's Terms of Use.
  • Employees of Quantum Signals are ineligible.

Registration

  • Acceptance of these terms is required for participation.
  • Teams are limited to a maximum of 6 members.

Submission Guidelines

  • Submissions must be original and not under consideration for publication elsewhere.
  • The submission deadline is February 28th, 2025, 11:59PM GMT.
  • Submissions must include a detailed methodology and the code used for analysis.
  • Submissions have to harness quantum computing.

Evaluation and Leaderboard

  • Rankings on the leaderboard will be based on the efficacy of solutions in predicting stock price trends, with criteria detailed here.

Prizes

Paid Internship roles at Quantum Signals might be offered to the first 3 winners.

General Rules

  • Participation signifies agreement to these rules and to the final decisions of Quantum Signals, which are binding.
  • Legal and ethical compliance is mandatory.
  • Quantum Signals reserves the right to adjust or cancel the competition as necessary.

Privacy and Data Use

  • Information collected from participants will be handled according to Aqora's privacy policy, exclusively for competition-related purposes.