Algo-Trading

All that you need to know about Algo-Trading
About the Event:
Focus: Algorithmic trading using computer programs and predefined strategies.

Methodology: Utilizes mathematical models, historical data, and real-time market analysis.

Objective: Achieve speed, accuracy, and efficient trade execution with minimal human intervention.

Instructions:
Team Size: 1–3 members.

Eligibility: All disciplines (team members must be from the same institution).

Format: Single online round.

Registration: Via Unstop.

Round 1 – Strategy Submission Round:
Teams submit their trading strategies.

Strategies are evaluated on a software-based trading platform using virtual capital.

All strategies run within the same market timeline to ensure fairness.

The team with the highest profit is declared the winner (subject to risk management criteria).

Platform & Resources:
Backtesting Software: QuantConnect.

Programming Language: Python ONLY.

Resources: Refer to the official QuantConnect Documentation for guidance on writing algorithms and using the Lean API.

Guidelines:
Code Submission Deadline: January 5th – 7th, 2026.

Format: Strategies must be submitted in .txt format with readable and understandable Python code.

Use of AI tools: Allowed for optimization and logic assistance.

Transparency: Trading timeline details will be disclosed only if requested within 2 days after result declaration.

File Naming Convention: ALGO_TEAMNAME.txt (e.g., ALGO_XYZ.txt).

Risk Management Clause (Mandatory):
To ensure strategies are realistic and commercially viable, the following risk limits apply:

Maximum Drawdown (MDD): Strategies exceeding a 20% drawdown from peak capital during the backtest period will be penalized or disqualified.

Portfolio Diversification: No single position should exceed 35% of total virtual capital at the time of entry.

Risk-Adjusted Returns: In the event of a tie in profit, the Sharpe Ratio (calculated via QuantConnect) will be used as the tie-breaker to determine the more stable strategy.

Evaluation Criteria:
Teams are evaluated based on maximum profit achieved, provided they adhere to the Risk Management Clause.

Prizes & Certificates:
1st Prize: ₹20,000

2nd Prize: ₹12,000

3rd Prize: ₹8,000

Certificates: Provided to all winning teams.

Contact Details:
Event Head: Aayush

Phone: 7717335855

Email: 2024umt0157@iitjammu.ac.in

Official Email: udyamitsav@iitjammu.ac.in

Instagram: @udyamitsav.iitjammu