Quantitative Capital Allocation Engine

Systematic Capital Allocation. Engineered.

Daric Capital is a quantitative capital deployment engine built around statistical validation, disciplined risk architecture, and structured evaluation environments. Daric is not a fund yet; it is building audited, reproducible performance logic and a scalable capital deployment architecture.

Research-driven. Risk-first. Built for auditability.

What Daric Is & Isn't

Designed as a quantitative capital allocation engine with clear boundaries and a validation-first mindset.

Daric is
  • Quant research and execution system
  • Capital allocation logic evaluated via IRR and risk metrics
  • Validation-first pipeline (walk-forward, live variance controls)
Daric is not
  • A signal service
  • A copy-trading platform
  • A marketing-driven trading community or retail funnel

The Daric Engine

From raw research to structured capital deployment, the engine is built around statistical discipline and operational robustness.

Pillar I

Research & Statistical Validation

Walk-forward testing, regime awareness, and robustness checks designed to surface variance, not hide it.

Pillar II

Strategy Engineering

System design, execution constraints, slippage logic, and latency-aware routing within institutional-grade infrastructure.

Pillar III

Structured Capital Deployment

Evaluation environments, capital scaling logic, and operational discipline surrounding every allocation decision.

Pillar IV

Risk Architecture

Drawdown constraints, exposure limits, tail risk sensitivity, and kill-switch logic aligned to risk-first principles.

From Idea to Scaled Capital

A horizontal pipeline where each stage is governed by explicit controls on variance, execution assumptions, and documentation completeness.

01
Ideation
  • Clear hypothesis articulation
  • Defined market microstructure
02
Data
  • Source integrity and coverage
  • Cleaning and regime tagging
03
Hypothesis
  • Testable edge definition
  • Risk factor mapping
04
Backtest
  • Variance bounds and priors
  • Execution and slippage assumptions
05
Walk-forward
  • Live-like constraints
  • Drift and degradation monitoring
06
Paper / Live
  • Variance vs. expectations
  • Execution venue outcomes
07
Audit Trail
  • Documentation completeness
  • Decision and override logging
08
Scale
  • Capital scaling rules
  • Risk budget guardrails

Performance Snapshot (Design Placeholder)

Placeholder metrics to illustrate layout. Replace entirely with verified, audited data before any public use.

Illustrative metrics shown for design purposes only — not audited, not a solicitation, not indicative of future results.

Annualized Volatility
~8–12%
Target risk band, illustrative only.
Max Drawdown
~4–7%
Peak-to-trough, design placeholder.
Sharpe (net, illustrative)
~1.2–1.8
Conceptual range for risk-adjusted return.
Monthly Hit Rate
~52–58%
Proportion of profitable months, illustrative.
Best / Worst Month
+3.4% / −2.1%
Illustrative only — not live performance.

Risk Budgeting (Design Placeholder)

Risk per position (typical): 0.25–0.75% of portfolio.

Portfolio exposure cap: Defined by volatility targeting.

Risk-First by Design

Written and operated with an institutional lens: risk architecture, monitoring, and documentation are non-negotiable.

Mandate
  • Risk-first mandate anchored on drawdown and volatility controls.
  • Capital deployment only within defined evaluation environments.
  • Clear separation between research, approval, and execution.
Controls
  • Documentation and audit trail at strategy and portfolio levels.
  • Model monitoring, drift detection, and override logging.
  • Scenario stress testing and tail risk sensitivity reviews.
  • Execution discipline, venue constraints, and kill-switch logic.

The Daric Story

From ancient sovereign coinage to modern systematic allocation — a throughline of discipline and durability.

The name Daric traces back to the ancient Persian gold coin — a symbol of sovereign capital, durability, and disciplined issuance. That lineage informs how Daric approaches modern markets: capital as a scarce, protected resource deployed only where the logic is robust, the risk is understood, and the process is repeatable.

Daric Capital is being built as an institutional-grade allocation engine rather than a marketing-led product. The focus is on audited logic, structured evaluation, and a capital deployment architecture that can scale without losing discipline.

Principles
Validation Before Scale
Capital only scales into strategies that survive rigorous, walk-forward evaluation with documented assumptions.
Risk Before Narrative
Frameworks are stress-tested against downside scenarios first; narratives follow the data, not the other way around.
Auditability as a Feature
Decisions, overrides, and model changes are logged so performance is explainable, not opaque.

Recognition & Milestones (Placeholder)

Sample layout only — replace with verified achievements and documented milestones.

Sample layout only — all items below are placeholders and must be replaced with verified facts before public launch.
Sample
Top X% — Trading Evaluation Milestone
Placeholder for independently-verified evaluation.
Sample
Research Pipeline v1 Released
Initial end-to-end validation environment.
Sample
Execution & Risk Framework Iteration
Upgrade to orchestration and risk guardrails.
Sample
Program / Community Participation
Slot for programs, cohorts, or accelerators.
Sample
Validation Controls Implemented
Checks for variance, drift, and documentation.

Insights & Research Notes

A future home for research notes, macro drivers, risk framework thinking, and validation playbooks.

Sample Insight Types
  • Research Notes — short views on systematic edges and regimes.
  • Macro Drivers — exogenous and endogenous variables that matter.
  • Risk Framework Notes — how risk budgets and limits evolve.
  • Validation Playbooks — templates for future strategy evaluation.
Structure
  • Each note with abstract, tags, and reading time.
  • Filtered by topic: regime, asset class, horizon.
  • Built as a clean, research-grade reading experience.
Research Notes Macro Drivers Risk Framework Validation

Quiet, Direct, Confidential

For institutional operators, allocators, and builders who resonate with the framework and wish to explore alignment.

Email: info@daric.es

Location: Barcelona

Line: Private & Confidential.

Next Steps
  • High-level overview of the Daric engine and evaluation approach.
  • Discussion focused on process, risk, and governance — not promises.
  • All conversations treated as private and exploratory.