Protected Research. Clear Boundaries.
Every model, framework, module, and word published under the CTDMM Ecosystem is the original research and exclusive intellectual property of Benjamin Matailili Malatai. This page sets out exactly what is protected, what you may do with it, and what you may not.
Original authorship and exclusive rights
The Circular Time-Distance Market Model (CTDMM) — including its specific geometric 14 / 22 / 44 rotational logic, the CTDMM branding, and the application of circular time cycles to financial market data — is the original research and exclusive intellectual property of Benjamin Matailili Malatai.
This protection extends to the entirety of the CTDMM Ecosystem and every module within it: The Law of CTDMM, Centurion, Commander, Mika, Cortana, Da-Fang, Sa-Ra Heka, and Mini Autopilot — together with their methodologies, frameworks, naming conventions, indices, structural observations, and all written, visual, AI-generated, and code-based materials.
© 2026 Benjamin M. Malatai. All rights reserved worldwide.
Core Methodology
The Circular Time-Distance Market Model (CTDMM) — including its 14 / 22 / 44 rotational geometric logic, harmonic resonance zones, and the application of circular time cycles to financial market data.
Modules & Frameworks
The Law of CTDMM, Centurion, Commander, Mika, Cortana, Da-Fang, Sa-Ra Heka, Mini Autopilot — together with their internal frameworks, scoring systems, indices (Deviation Index, Trap Density, Mythic Barometer), and structural observations.
Research & Publications
All white papers, codices, intelligence reports, backtest documents, pitch decks, and ancient-legends research authored under the CTDMM name, in any past or future revision.
Branding & Identity
The CTDMM name, logo, module names, persona archetypes, sigils, color systems, typographic treatment, and the holographic console interface used across this platform.
Code, Models & Data
Source code of the CTDMM Ecosystem platform, AI prompt architectures, model configurations, signal pipelines, training datasets, and any derivative outputs produced by the system.
Visual & Written Material
Diagrams, charts, illustrations, video, audio, written commentary, and AI-assisted articulations distributed through this site or any official CTDMM channel.
You may
- ›Reading, studying, and discussing CTDMM material for personal research and educational purposes.
- ›Citing CTDMM publicly with clear attribution to Benjamin Matailili Malatai and a link back to ctdmm.online.
- ›Sharing official links to ctdmm.online and its modules on social platforms in their unmodified form.
- ›Quoting brief excerpts (under 100 words) for review, commentary, or academic critique under fair-use principles, with attribution.
You may not
- ✕Reproducing, republishing, or redistributing any CTDMM material — in whole or in part — without prior written consent.
- ✕Reverse-engineering models, indices, or methodologies, or attempting to reconstruct them from observed outputs.
- ✕Training, fine-tuning, or evaluating any machine-learning system on CTDMM content, datasets, or generated outputs.
- ✕Creating derivative methodologies, courses, services, or products that incorporate CTDMM frameworks, naming, or geometric logic.
- ✕Using the CTDMM name, logo, or module identities to imply endorsement, partnership, or affiliation that has not been granted in writing.
- ✕Scraping, mirroring, or bulk-extracting content from this platform via automated means.
Want to use CTDMM beyond personal study?
Commercial use, integration into third-party products or services, training data inclusion, white-label deployment, academic publication beyond fair-use, and any redistribution all require an explicit written licence from the author. Each request is reviewed individually — terms vary by use case, scale, and exclusivity.
Infringement is actively monitored
Unauthorised reproduction, derivative work, or commercial use of CTDMM material will be pursued through the full extent of applicable copyright, trademark, trade-secret, and database-right legislation in every jurisdiction in which the infringement occurs.
We use automated and manual monitoring across web, social, academic, and AI-platform channels. Suspected infringement should be reported to legal@ctdmm.online. Verified reports may qualify for a finder's acknowledgment.
This intellectual property notice is governed by the laws of the author's jurisdiction of residence and the applicable international treaties on copyright and trademark protection. The author reserves the right to update these terms at any time; the version in force is the version published on this page at the moment of access.
Last updated: April 30, 2026.