01 / Fund overview
Coming soon
Launch stack
Research, execution, operations, and disclosure workstreams being prepared for fund deployment.
01 / About Tau
Built for disciplined deployment.
Tau Technologies is a quantitative trading firm developing a market-neutral digital asset fund around systematic research, execution quality, and controls designed before capital is scaled.
02 / Firm overview
A full system, not a single signal.
Digital asset markets trade continuously across fragmented venues, with liquidity and market structure changing over time. Tau's build treats that environment as a research, execution, and risk problem together.
The focus is on market- and asset-neutral strategies, execution quality, and controls that can be reviewed before capital is scaled. Launch communications will cover strategy readiness, infrastructure, and operational milestones rather than performance claims.
Explore the research system
02 / Strategy philosophy
Coming soon
Market-neutral core
Candidate signals reviewed for robustness, capacity, execution cost, and regime behavior.
03 / Market context
Why the structure matters.
The operating model is designed around the properties of digital asset markets rather than adapted from a single venue or discretionary process.
Venue-aware by necessity
Prices, liquidity, and execution conditions can differ across venues. Research assumptions therefore have to survive contact with routing and fill quality.
Controls that stay in the loop
Continuous markets require exposure limits, liquidity checks, and drawdown responses to be part of the trading architecture rather than an after-the-fact review.
Evidence across regimes
A candidate strategy advances only when its signal, costs, capacity, and failure cases remain understandable across different market conditions.
04 / Principles
Evidence over speed.
Every strategy moves through testing for costs, constraints, and risk before deployment is considered.
01
Standard
Research before scale
A candidate strategy advances toward greater allocation only after signal evidence, cost modeling, and failure analysis hold up across regimes.
- Cost-adjusted
- Regime tested
- Capacity gated
02
Standard
Risk is infrastructure
Risk limits, liquidity checks, and drawdown responses are being engineered into the trading system instead of handled manually after the fact.
- Exposure caps
- Liquidity screens
- Kill-switch rules
03
Readiness
Operate with restraint
Launch timing is tied to operational readiness, disclosures, and repeatable process rather than marketing pressure.
- Operations reviewed
- Disclosures aligned
- Updates staged