An unofficial guide to IMC Prosperity algorithmic trading
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Updated
May 5, 2026 - Python
An unofficial guide to IMC Prosperity algorithmic trading
My IMC Prosperity 2 code (9th place)
This is the compilation of my teams submission and some of the thought process for the Prosperity 3 help by IMC in the April of 2025! We ranked 36 world-wide after round 5!
IMC Prosperity 2024, #103 USA #381 Globally
Collection of strategies and a local backtesting environment for Prosperity
JaneRT IMC Prosperity 4
Code used for IMC's prosperity trading challenge.
IMC Prosperity 2 is a global trading competition organized by IMC Trading, where participants engage in algorithmic and manual trading challenges across five rounds, simulating real-world market scenarios to optimize profits and develop advanced trading strategies (team Random Returns from Viet Nam)
Official repository for IMC Prosperity 4. Features modular Python strategies including market making, statistical arbitrage, and signal-based trading. Final placement: #42 Global, #14 US.
A backtester using for IMC Prosperity Comptition
Alternative leaderboard viewer for IMC Prosperity 2
An IMC competition about algorithm trading
Open-source Python scraper for the IMC Prosperity competition Discord server. JSONL export, resumable backfill, ToS-aware dual auth (bot + user token). For personal archival & AI preprocessing.
🖼️ Convert images quickly between formats with ImC, a fast and simple CLI tool built on Pillow for efficient batch processing and clean command usage.
Official submission for the IMC Prosperity 3 Challenge 2025 by Team Quantists. Achieved 87th globally (Top 0.7%) among 12,620+ teams and 16th in India. This repository encompasses our solutions across all five rounds, focusing on algorithmic trading strategies, market-making, and options trading.
Agentic IMC Prosperity 4
Open-source IMC Prosperity 4 research toolkit with deterministic backtesting, strategy validation, and round writeups.
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