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METHODOLOGY · OPEN WHITE PAPERS

Show your work.
Then publish it.

The full technical specification of the three proprietary systems that power DBN's behavioural trading engine — Lock, Decision Grade, and Trader Rating. Published openly for transparency, independent replication, and peer review.

PAPERS  3
VERSION  1.0
PUBLISHED  APR 2026
CADENCE  QUARTERLY
SEE THE METHODOLOGY IN ACTION

From paper to execution.

ACADEMY · LEARN THE RULES

Walk through the methodology one module at a time

81 modules unpacking Lock, Decision Grade, and Rating concepts with worked examples and quizzes.

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PAPER TRADING · CALIBRATION

Calibrate your Lock with 60 historical trades

Run the calibration protocol on real price action. Watch the cell weights converge to your behavioural fingerprint.

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QUARTERLY AUDIT

Independent verification published every 90 days

Replication of every published statistic. Methodology drift report. Open data, open code, open challenge.

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PUBLIC RATING API

Pull a trader's verified Rating with cryptographic signature

Free public endpoint for prop firms, brokers, and integrations. ECDSA-signed, timestamped, replay-protected.

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Read the full methodology.

Each paper is a complete technical specification — abstract, motivation, mathematical formulation, calibration protocol, validation plan, and limitations. Open-licensed, replicable, and citable. Download as PDF or read the source markdown.

Paper I

The Predictive Lock

Cell-based adaptive gating system for personalized trade entry decisions. 220-cell weight matrix, calibration protocol, two-way override learning.

~5,600 words11 sectionsv1.0 · Apr 2026
Paper II

Decision Grade

Multi-dimensional behavioral scoring methodology. Four independent 0-100 scores, per-trade classification, execution error taxonomy.

~5,400 words10 sectionsv1.0 · Apr 2026
Paper III

Trader Rating

ELO-inspired composite metric blending outcome and behavioral signals. Density-rating bridge, regression detection, marketplace integration.

~5,000 words11 sectionsv1.0 · Apr 2026
Or download all three papers as a single submission-ready PDF →

Submit for Peer Review

We invite quantitative finance practitioners, behavioral economists, and trading platform engineers to review, critique, and extend these methodologies.

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RESEARCH · OPEN · REPLICABLE

Trust comes from
showing your work.

Every claim in these papers is replicable from public data and our published code. The systems improve with each quarterly audit. Independent replication is welcomed and citable.

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Open methodology · Quarterly audits · MIT-licensed reference implementations