Deterministic Intelligence
Core market metrics are calculated independently of the language model using structured market data and explicit analytical rules.
Private Research Platform
AI-native quantitative market intelligence.
ExAnte combines deterministic market analytics, curated domain knowledge and specialized AI reasoning to produce structured market research and decision intelligence.
- Closed Access
- Adaptive Research
System Foundation
Three layers.
One research system.
ExAnte is built around three independent but connected layers designed to keep calculation, domain knowledge and adaptive reasoning clearly separated.
Curated Domain Knowledge
A structured methodology library provides specialized knowledge across market structure, order flow, derivatives, liquidity and price-action analysis.
Relevant knowledge is selected according to the current analytical context rather than loading every methodology indiscriminately.
Adaptive Research Memory
Previous research reports and closed-trade outcomes are periodically reviewed to identify recurring patterns, changes in market regime and evidence-supported guidance for future analysis.
System Architecture
From evidence to
structured research.
ExAnte separates data acquisition, quantitative calculation, domain-context selection, AI reasoning and adaptive feedback into distinct layers.
- 01Market Data
- 02Quantitative Engine
- 03Context Router
- 04Curated Methodology Library
- 05Claude Reasoning
- 06Structured Research Output
Research does not end when a report is produced.
- Previous Reports + Closed Trade Outcomes
- Self-Reflection
- Adaptive Research Memory
The resulting memory can inform subsequent research while remaining separate from the deterministic calculation layer.
Claude Inside ExAnte
Claude as a domain-grounded reasoning layer.
Claude operates on more than raw market data.
ExAnte combines deterministic market metrics with a curated library of trading methodologies and dynamically selects the domain knowledge relevant to the current market context.
Claude reasons within this constrained evidence environment to produce structured research rather than unconstrained market commentary.
- Deterministic Metrics
- Selected Domain Knowledge
- Adaptive Research Memory
Claude Reasoning
Structured Research
Adaptive Research Memory
Research that learns
from outcomes.
ExAnte maintains an adaptive research memory built from previously generated reports and the outcomes of closed trades.
The self-reflection process compares successful and unsuccessful decisions, identifies recurring patterns, evaluates changes in market regime and produces evidence-supported guidance for subsequent research.
- 01Analyze
- 02Observe
- 03Reflect
- 04Adapt
This adaptive layer does not replace the underlying methodology or deterministic analytics. It provides a rolling research context that can be reviewed, revised or disabled independently.
Controlled by Design
AI reasoning does not replace deterministic controls.
ExAnte is designed around the separation of calculation, reasoning and operational control.
Deterministic Calculations
Core numerical metrics are calculated outside the language model.
Data-Bound Reasoning
AI analysis is grounded in available market evidence and selected domain knowledge rather than unsupported assumptions.
Auditable Outputs
Generated research, model usage and adaptive-memory outputs can be reviewed as part of the wider analytical workflow.
Independent Controls
Adaptive intelligence remains separate from deterministic analytics and can be independently reviewed or disabled.
Private by Design
Built as a closed research environment.
ExAnte currently operates as a private research platform.
Live strategies, proprietary analytical logic, execution systems and sensitive research data remain protected behind authenticated access.
The public site provides an overview of the research architecture while the operational terminal remains private.
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