25 skills found
ericcccsliu / Imc Prosperity 2research and trading algorithms for team Linear Utility, which placed second in IMC Prosperity 2
MarkBrezina / Ctrl Alt DefeatTheMarketAn unofficial guide to IMC Prosperity algorithmic trading
gabsens / IMC Prosperity 2 ManualDetailed write-ups for manual trading challenges in IMC Prosperity 2
awatatani / Imc Prosperity3 TradingAlgorithmic and manual trading strategies, backtests, and analysis for IMC’s 15‑day Prosperity 3 challenge that resulted in rank 25.
Leo-Hawking / IMC Prosperity 4 ReviewIMC Prosperity 4 algorithmic trading retrospective: strategies, backtester, market microstructure analysis, and round-by-round research notes. Top 0.5% overall.
milesmitchell / Imc Prosperity 3Team "Imperial Isle" Final Round Code for IMC Prosperity 3 Global Trading Challenge
kzqiu / Imc 2023Code written for the IMC Prosperity trading competition in 2023.
BakerStreetPhantom / IMC Prosperity Trading Challenge 2023Implementation of various market making and trading strategies for the IMC Prosperity Trading Challenge 2023
heyman7913 / Imc Prosperity 4JaneRT IMC Prosperity 4 (19th globally, 7th USA)
xushanthu-2014 / Imc Prosperity Trading Bota copy of our trading bot in the IMC prosperity trading competition
zainy-477 / Imc Prosperity 4This respository contains our writeup and code for the IMC Prosperity 4 trading competition, where we ranked in the top 1% (154th out of 18000+ teams) after 5 algorithmic and manual rounds.
Ape108 / IMC Prosperity 4Official repository for IMC Prosperity 4. Features modular Python strategies including market making, statistical arbitrage, and signal-based trading. Final placement: #42 Global, #14 US.
angus4718 / Imc Prosperity 3 PublicIMC Prosperity 3 documentation by the team Ding Crab (rank 28th in algo trading and 44th overall)
aahiill / IMC Prosperity 3Top 1% Globally, 15th in the UK for the IMC Prosperity 3 Quant Trading Challenge. Also featured on the global leaderboard!
Sylvain-Topeza / Imc Prosperity 3Final trading algorithm for IMC Prosperity 3 (top 1% worldwide). Combines adaptive market making, index arbitrage, Black–Scholes option pricing, and informed signal trading, with rigorous risk management across multiple products in a live market simulation.
theov07 / IMC PROSPERITY 4 COMPETITIONTeam research repository for IMC Prosperity 4: algorithmic trading, backtesting, manual challenge modeling, and multi-round quantitative strategy development.
LukePrior / IMC ProsperityDeveloping a client side front-end tool to visualise example data and performance info from trading algorithms for IMC Prosperity 2023.
Akezh / Imc Trading 2025No description available
gsgill7 / Prosperity VisualiserIn-browser trading analytics dashboard for the IMC Prosperity algorithmic trading challenge.
jaspermclennan / Imc ProsperityIMC Prosperity trading competition using the provided virtual goods and data to develop a strategy and convert it into a Python program.
