Tiger AI is the world's first AI-driven cross-cycle quantitative financial ecosystem, inheriting the strategic genes of Tiger Fund, and constructing a trinity architecture of "Intelligent Strategy + Token Economy + Compliance Matrix". The system is equipped with nine major AI models, enabling millisecond-level cross-exchange arbitrage and dynamic hedging. It has launched the TQF multi-cycle fund and the TAC token economic model, supporting flexible deposits and withdrawals as well as daily earnings settlements. It is deeply bound with the 7 million user resources of the TT trading platform, activating ecosystem growth through the dual-token linkage of CTC-TAC. Holding global compliance licenses such as SEC, SFC, etc., it adopts a zero-slippage execution and circuit breaker risk control system, aiming to become an infrastructure-level AI middleware in the field of encrypted asset management and promoting the evolution of traditional finance towards an intelligent autonomous paradigm.

Introduction to Tiger AI
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Frequently Asked Questions (FAQs)

The mission of Tiger AI is to reconstruct the inefficient logic of traditional asset management that relies on human nature and experience, achieving optimal capital allocation and zero-bias decision-making through algorithms. Its vision is to become the "Intelligent Quantitative Infrastructure" in the field of encrypted finance, driving the transformation of the global financial system towards an intelligent autonomous paradigm of "trust-free, all-weather self-evolution", and ultimately becoming the benchmark platform in the era of AI sovereign asset management.

Based on a dynamically evolving cluster of nine AI models (such as LSTM, GAN, Transformer, etc.), it captures liquidity signals from 137 public chains in real-time through a millisecond-level cross-exchange arbitrage network. Combined with an embedded risk management circuit breaker mechanism (volatility mutation prediction + asset isolation trust) and a self-learning feedback system, it forms a fully closed-loop intelligent asset management process of "data perception - strategy generation - execution optimization".

Fully automated asset management capabilities without human intervention, deep ecological binding with 7 million users of the TT trading platform, the innovative TAC deflationary economic model (with an annual deflation rate > 15%), and the entry barriers constructed by global compliance licenses such as SEC, SFC, DFSA, etc., achieving a triangular enhancement of "revenue sustainability + ecosystem expansibility + regulatory compatibility".

The system processes 120 million market signals per second, integrating over 200 data sources including on-chain order books, off-chain institutional data, social media sentiment, and macroeconomic indicators. It has exclusive access to the institutional order flow of the TT platform, which accounts for 12% of the total market trading volume. Through feature engineering, it generates 427-dimensional quantitative factors, forming a penetrating insight into the market's microstructure.

The hardware adopts a layout of 23 low-latency nodes globally (with an average response time < 0.8ms), combining AWS cloud computing with self-built FPGA mining machine clusters to provide μs-level computing power support. It is equipped with hardware-level key management (HSM) and a quantum-resistant signature system (NIST post-quantum standard), balancing high-frequency trading performance and anti-attack security, and constructing institutional-grade financial infrastructure.