Inputs can disagree
Stale books, collector differences, timestamp skew, and inconsistent funding or liquidation sources can create false confidence.
Market State canary online
Live capital disabled
Economic truth before execution
Measure what is real before capital acts.
TheDuckTrader is building an economic intelligence and validation platform for autonomous capital. Today, TheDuck Markets reconstructs market state, participant behavior, data quality, and execution conditions to test whether apparent alpha is real, executable, and persistent.
Research-stage platform. No financial advice. No live capital is currently deployed.
Economic intelligence pipeline / 01
Observe-only
01
Market truthBooks, trades, funding, OI, liquidations, wallet activity
Verified
02
Market stateLiquidity, volatility, funding/leverage, execution confidence
Observed
03
ValidationCosts, MAE, false positives, tails, persistence, OOS
Scored
04
Promotion boundaryResearch, paper, and live permissions remain separate
Blocked
false positives > missed trades
status: observe, measure, validate
42
Research components mapped
21
Active observers and inputs
4
Market State types in canary
0
Paper or live candidates
Validation log / 26 August 2026
The Market State Engine is now running in observe-only canary mode.
4Causal Market State types
4Core assets covered in the first canary
0Paper or live candidates
The platform now separates market truth from market state and alpha research. Liquidity, volatility, funding/leverage, and execution-confidence states are being observed on fresh data without changing trading behavior.
The problem
Activity is not economic truth.
Digital-asset teams can generate signals, dashboards, and impressive backtests quickly. The hard problem is determining whether the underlying data, market state, participant behavior, costs, and execution conditions support a real economic opportunity.
The same signal behaves differently
Liquidity, volatility, leverage, and execution conditions change the meaning and risk of an otherwise identical setup.
Flow is heterogeneous
Anonymous order flow hides who is acting, whether behavior persists, and whether participants anticipate or simply chase moves.
Gross edge is not a business
Fees, slippage, depth survival, adverse excursion, clustering, and out-of-sample persistence must survive before capital does anything.
TheDuck Markets
From raw market truth to validated economic decisions.
The active product is a research and validation platform for digital-asset markets. It is designed to explain why an opportunity should be trusted, rejected, or kept under observation — not to manufacture trades.
L0
Built
Market Truth
Public books, trades, funding, basis, open interest, liquidations, participant activity, freshness, and source reconciliation.
L1
Canary
Market State
Causal, versioned liquidity, volatility, funding/leverage, and execution-confidence states generated independently from alpha.
L2
Research
Wallet & participant intelligence
Hyperliquid-native research into peer-adjusted markout, persistence, specialization, metaorders, and participant heterogeneity.
L3
Built
Risk & strategy validation
Executable costs, MAE, false positives, tail dependence, chronological OOS, external data checks, and explicit promotion governance.
L4
Commercial path
Decision infrastructure
Future APIs and workflows for market state, execution-risk intelligence, wallet benchmarks, and independent strategy validation.
Current evidence
Built to reject false alpha before capital learns the lesson.
The platform currently has no paper or live candidates. That is a deliberate result of the validation stack, not a missing safety layer.
Capability
Current role
Decision
Funding & basis carry
Economic benchmark
Observed net economics remain negative after realistic costs; retained as a benchmark, not a promoted strategy.
Market State Engine
Observe-only canary
Four causal state types are collecting evidence before any downstream conditioning is enabled.
Wallet identity
Confirmatory research
The open question is incremental OOS value versus anonymous microstructure, not copy trading.
External market truth
Validation scaffold
Independent public datasets are used to challenge collector agreement, provenance, and event completeness.
Execution risk
Core moat hypothesis
Testing whether market state improves future MAE, spread, depth, and liquidity-risk separation.
Two product surfaces
Markets now. Agent economics as a separate research vertical.
The technical core is economic measurement. The active market product and the emerging agent-economy research track remain deliberately separated.
TheDuck Markets
Market state, wallet intelligence, execution-risk measurement, data-quality scoring, and independent strategy validation for institutional digital-asset workflows.
TheDuck Agents — research track
An isolated read-only exploration of agent balance sheets, treasury quality, compute capital, revenue, burn, and economic sustainability. No custody or treasury execution.
Economic intelligence core
The shared principle is simple: separate apparent activity from sustainable economic reality, expose uncertainty, and validate before acting.
Founder
Technical depth with an operator's discipline.
The public leadership profile currently names Andrea Mauri, who is building the platform and leading product validation.
AM
Founder / Product & Engineering
Andrea Mauri
Engineering and product leader building the architecture, quantitative research platform, observability, and validation systems behind TheDuckTrader.
What we are looking for
Partners who value evidence over trading theater.
We are exploring design-partner, research-partner, accelerator, and pre-seed relationships across institutional digital assets, fintech, AI/data, and risk infrastructure.
Institutional strategy-validation pilots
Market-state and execution-risk workflows
Wallet-intelligence research partnerships
Agent-economy design partners