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Global Open Competition · 2026

SoAI 2026
AI Algorithmic
Trading Competition

Build. Deploy. Trade. Compete.

Design and deploy AI-driven trading strategies in a fair, standardized global simulation. Compete worldwide. Present in Singapore.

Code Submission Deadline
--Days
--Hours
--Minutes
--Seconds
120% 100% 80% 60% +24.8%

The Premier AI Trading Arena of 2026

The SoAI 2026 AI Algorithmic Trading Competition invites participants worldwide to design and deploy AI-driven trading strategies. Open to all backgrounds — AI, finance, computer science, mathematics, and beyond.

All strategies compete in a fair, standardized simulation environment: centralized execution, identical data feeds, zero hardware bias.

🏙️ Part of IntelligenceX 2026 – The Global Quantum × AI Frontier
24–26 September 2026  |  Singapore
🏆
SGD 3,000
Total prize pool
📈
Aug 16 – Sep 15
Official trading window
🌏
Global Open
Worldwide eligibility
👥
1–5 Members
Individual or team

Competition Timeline

9 August 2026
Code Submission Deadline
23:59:59 SGT (UTC+8)
📅
🔍
10–12 August 2026
Verification & Test Run
Official validation by technical team
16 August 2026
Official Trading Begins
All strategies go live — 00:00:00 SGT
🚀
🏁
15 September 2026
Fund Closure & Final Results
Full portfolio liquidation at 23:59:59 SGT
18 September 2026
Winners Announcement
SGT — top teams invited to IntelligenceX 2026
🏆

How It Works

STEP 01
🧠
Develop Your Strategy
Build a fully autonomous trading system using the Lumibot framework.
  • Signal generation & alpha research
  • Portfolio construction
  • Risk management
  • Inherit from lumibot.strategies.Strategy
STEP 02
📦
Submit to GitHub
Fork the template repo and push your strategy by the deadline.
  • Fully reproducible code required
  • All deps pinned in requirements.txt
  • Clear README documentation
  • No secrets or hardcoded paths
STEP 03
Compete Officially
IntelligenceX technical team executes all strategies identically.
  • Standardized, centralized environment
  • Identical data feeds for all participants
  • Zero latency or hardware advantages
  • Only official results count

Asset Universe

Trade across two major asset classes with unrestricted access.

💡 Trading Fee: A uniform fee of 2 basis points (bps) applies to all trades across both asset classes.
Crypto Markets
Any CCXT-supported spot pair. Full access to the digital asset ecosystem — from blue-chip to long-tail. Orders subject to volume-aware slippage constraints.
BTC ETH Altcoins Meme Coins via CCXT
📊
US Equities
Full public market access via the Massive data provider. Large caps, small caps, ETFs, ADRs — the entire US equity universe available to your strategy.
Large-Caps ETFs ADRs Small/Micro-Caps via Massive

Technical Requirements

🔧
Lumibot Framework
Your Strategy class must inherit from lumibot.strategies.Strategy. The template provides the base scaffold.
⚙️
Lifecycle Methods
Implement initialize() for one-time setup and on_trading_iteration() for each trading cycle — fetch data, compute signals, submit orders.
⏱️
Supported Frequencies
Minute, hourly, and daily cadences only. Sub-minute scheduling will be automatically rejected by the execution environment.
📡
Data Feed
Official feed provides OHLCV bars only. No order-book depth, news feeds, or alternative data sources are available during official execution.
strategies/strategy.py
from lumibot.strategies import Strategy

class Strategy(Strategy):

    def initialize(self):
        # One-time setup
        self.sleeptime = "1D"  # "1M" | "1H" | "1D"

    def on_trading_iteration(self):
        # Runs every sleeptime cycle
        bars = self.get_historical_prices(
            "BTC/USDT", 30, "day"
        )
        # Compute signal...
        order = self.create_order(
            "BTC/USDT",
            quantity=0.01,
            side="buy"
        )
        self.submit_order(order)

Evaluation & Fairness

Primary Metric
Terminal Return
Final portfolio value after full liquidation at market close on 15 September 2026 (23:59:59 SGT). The single metric that determines the leaderboard.
Only results generated by the official IntelligenceX execution system are valid. Self-reported backtest results do not count.
Centralized Execution
Fairness & Reproducibility
All strategies run in an identical, controlled environment. No participant gains an unfair edge.
  • Latency advantages eliminated
  • Hardware differences neutralized
  • Execution bias removed
  • Identical OHLCV data feeds
  • Pinned dependency environments

Awards

SGD 3,000
Total Prize Pool
⚠️
Attendance Requirement: Cash prizes are awarded only to winners who present in person at IntelligenceX 2026 in Singapore.
No physical attendance → No cash payout. No money transfer or remote disbursement will be arranged.
Top finalists will present live and connect with
💼
Venture Capital Firms
📉
Quant Funds
🏦
Financial Institutions

Why Join?

📈
Real Trading Scenarios
Apply AI in live market conditions — not just backtests. Your strategy trades real market data from 16 August to 15 September 2026.
🤖
Hands-On Experience
Gain deep expertise in algorithmic trading, signal engineering, portfolio optimization, and execution systems.
🌐
Global Showcase
Benchmark your performance against top AI and quant talent worldwide. Present your work at IntelligenceX 2026 in Singapore.
🤝
Investor Connections
Network with venture capital firms, quant funds, and financial institutions at the IntelligenceX 2026 conference.
Register Now →
Hackathon Notice: The organizers reserve the right to modify, suspend, or adjust the hackathon rules, evaluation criteria, participation requirements, or related settings at their discretion if deemed necessary for operational, technical, regulatory, or fairness considerations.