EDDID Financial, a subsidiary of Hong Kong–based EDDID Group, has officially launched its AI-Powered Quantitative Arbitrage Platform for the Singapore Futures Fund, marking a major step in intelligent financial innovation and futures asset management. The platform integrates cutting-edge artificial intelligence, big data, cloud computing and financial engineering to reshape investment paradigms and deliver stable, risk-controlled returns for global investors.

Built for professional institutional and high-net-worth clients, the platform leverages advanced machine learning, deep neural networks and big data analytics to identify hidden market patterns and short-term pricing inefficiencies that traditional models cannot capture. In partnership with ChatGPT and Deepseek, the system enhances pattern recognition, nonlinear fitting and real-time decision-making capabilities, supporting high-frequency arbitrage, algorithmic trading and intelligent risk management across global futures markets.
At its core, the platform adopts a quantitative arbitrage strategy system that focuses on statistical mispricing and mean-reversion opportunities rather than directional market bets. It runs four major strategies: trend following, calendar spread arbitrage, cross-commodity arbitrage and cash-futures arbitrage, enabling diversified and low-correlation returns. By executing hedging operations across related contracts, the strategy aims to capture stable profits from spread normalization caused by market frictions, liquidity gaps and information transmission delays.
The AI strategy architecture operates a closed-loop system: data input, feature engineering, AI modeling, signal generation, automated execution and real-time risk control. It ingests multi-source heterogeneous data including historical K-line, Level‑2 market data, industrial fundamentals and macroeconomic indicators. Through data cleaning, alignment, high-frequency feature extraction and dimensionality reduction via PCA, the platform ensures high-quality model input. The AI core uses ensemble learning and deep models to generate precise trading signals, with automated execution achieving millisecond-level response to seize fleeting arbitrage opportunities.
Risk management is embedded into every layer of the system. The platform monitors VaR, Delta, Gamma and other risk indicators in real time, controls position exposure, restricts trading in low-liquidity contracts, and triggers model confidence thresholds to avoid failures in structural market shifts. A circuit-breaker mechanism and mandatory stop-loss rules protect the portfolio during extreme volatility and black swan events.
Backtested from January 2018 to December 2025 across bull, bear and extreme market conditions, the core strategy portfolio achieved an annualized return of 18.7%, a Sharpe ratio of 2.15, and a maximum drawdown within 8%, with a 62% win rate and 1.8:1 profit-loss ratio. In live trading since 2023, the net value curve has grown steadily with high fitness to backtest results. The strategy capacity exceeds ¥1 billion for combined strategies, supporting medium-to-large fund management.
To maintain long-term effectiveness, the platform implements continuous model iteration: weekly retraining, concept drift detection, adaptive parameter adjustment and rigorous A/B testing. Going forward, EDDID will integrate alternative data, reinforcement learning, graph neural networks (GNN) and quantum computing to further enhance strategy depth and breadth.
With strong technological barriers, robust performance and strict risk controls, EDDID’s Singapore Futures Fund AI Quantitative Arbitrage Platform sets a new standard for intelligent futures investment. It provides global investors with stable, transparent and professional asset management services, leading the evolution of AI-driven quantitative finance in the global market.
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