This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
21
Participants
₹8,000
Prize Pool
1
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Algo Trading Sprint by BYTE
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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.