Capturing digital-asset returns demands constant attention and the discipline to act against emotion. For most allocators and individuals, emotional decision-making — not the market — is the single biggest drag on results.
AI- and machine-learning-driven models run a diversified book of strategies that adapts to bull and bear regimes alike — delivering stable, repeatable returns with the emotion taken out of the loop.
We've run market-neutral strategies since 2021, through the full crypto cycle. The complete, audited performance series is shared with institutional and qualified investors under MNDA.
Live since January 2021. Detailed figures, methodology and audited statements are shared under MNDA. Past performance is not indicative of future results.
A robust, innovative trading system built entirely in-house — from signal research to ultra-low-latency, HFT-grade execution.
Medium-frequency, pair trading and long/short strategies integrated into one market-neutral portfolio that adapts to bull and bear markets alike — near-zero beta to BTC and ETH.
Exposure is sized to each mandate's risk tolerance to maximize return per unit of risk — capital preservation always comes first, with drawdown held tightly in check.
Advanced infrastructure for execution and data analysis, with research treated as a standing obligation — adapting models before the market forces the issue.
Crypto trades around the clock, with roughly 3× the arbitrage and trading opportunities of traditional markets — and, as an emerging sector, substantial room left to grow.
As BlackRock's ETFs and major banks raise their crypto allocations, the question for serious portfolios is no longer whether to hold digital assets, but how — with risk on a tight leash. That is precisely our mandate.
A custom research framework stress-tests every signal for robustness, penetration and impulse response before it reaches production — nothing trades on a hunch.
Low-latency execution engineered in Rust and Python over live exchange data feeds — the same engineering rigor found in HFT systems.
Exposure limits, drawdown budgets and position sizing are enforced automatically, 24/7 — by the system, never by emotion.
Systematic, market-neutral strategies across major digital assets — medium-frequency, pair trading and long/short — engineered to a near-zero beta to BTC and ETH, so returns don't depend on market direction.
Risk is the first decision. Every position is sized against a drawdown budget, with automated exposure limits and continuous 24/7 monitoring. Capital preservation comes before return.
Yes. We share the complete, audited performance series — figures, methodology and statements — with institutional and qualified investors under MNDA. Just request access.
We trade on leading venues including Binance, OKX, Bybit and Bitget. Custody and account structure are arranged per mandate — we'll walk you through the options directly.
Allocations are structured per mandate rather than advertised. Get in touch and we'll discuss what fits your objectives.
Giant Quant Capital is registered in Taiwan, with team experience spanning Taiwan, Hong Kong, Singapore and the United States.
Qualified investors can request the complete performance series and strategy documentation. We're happy to sign an MNDA.