Algo Trading Sprint by BYTE

Algo Trading Sprint by BYTE Join this whatsapp group for updates: https://chat.whatsapp.com/JxjBmg7A3CpBU5NIxpyJLy?mode=gi_t BYTE presents Algo Trading Sprint, a two-day competitive sprint where participants design, build, and deploy an autonomous trading system from scratch. The challenge pushes participants to combine machine learning, system design, and real-time decision making to compete in a simulated market environment. Unlike typical trading competitions, this event focuses on building intelligent systems rather than manual trading or predictions. Your trading agent must analyze market data, make strategic decisions, and manage capital autonomously. On Day 1, you design and build your system. On Day 2, your system trades in a live market simulation. Every decision your agent makes directly impacts its capital and leaderboard position. Event Details: Event: BYTE Algo Trading Sprint Location: Maharaja Agrasen Institute of Technology (MAIT), Delhi Platform: Offline at campus Dates: 16–17 March Team Size: Team of 3 (Inter-college teams are allowed) Contact: innovators.byte@gmail.com Outreach Coordinators: Krish –  9811520624 Janhvi – 9315829393 What You Will Build: Participants will design a complete algorithmic trading pipeline, including: A predictive model that analyzes market data A decision engine that determines BUY / SELL / HOLD actions A risk management strategy to control capital exposure An autonomous trading agent integrated with the competition API The goal is to create a system that can adapt to market changes and grow capital consistently. Competition Structure: Round 1: Build Phase Date: 16 March (10 AM - 5 PM) Location: MAIT, Delhi This is where your system takes shape. Teams will receive anonymized historical market data and must build their entire trading pipeline during the session. Participants will: Develop a predictive model using the provided dataset Design capital allocation and risk management logic Build an autonomous trading agent capable of BUY / SELL / HOLD decisions Integrate their system with the official trading API Rules: All development must happen during the round External data is not allowed Pre-built trading bots are not permitted By the end of the round, each team must submit a fully functional trading agent ready for live execution. Round 2: Live Trading Phase Date: 17 March (10 AM - 5 PM) Location: MAIT, Delhi This is where your system proves itself. In this round, the trading agents built on Day 1 will operate in a live market simulation. Your agent will: Receive live streamed market data Make real-time BUY / SELL / HOLD decisions Manage capital dynamically Execute trades without manual intervention Once trading begins, no human interaction is allowed. The performance of your trading agent will depend entirely on the logic and strategy you implemented. Evaluation Criteria: Teams will be evaluated based on: Overall capital growth across rounds Strategy robustness and consistency Risk management and exposure control The leaderboard will reflect how effectively your system balances profit with disciplined trading behavior. Who Should Participate? This competition is ideal for: Machine Learning & Data Science enthusiasts Backend developers and API builders Students interested in quantitative finance Anyone who enjoys building intelligent autonomous systems No prior trading experience is required. All you need is logic, creativity, and strong system design skills. What It Takes to Win: Winning is not about luck or speculation. The best teams will demonstrate: Strategic thinking Strong risk management Efficient algorithm design Consistent capital growth If you enjoy building systems that analyze, decide, and act independently, this is your arena.