Base layer for decentralized AI, Solana-native agentic finance, and ASI ecosystem interoperability.
Self-taught blockchain engineer, quant trader, and DeFi protocol architect operating at the intersection of on-chain finance and artificial general intelligence. Building production-grade systems on Solana since 2020.
Tradecraft-informed 10-layer quantitative pipeline built on Jack Davis's DI analyst axioms — deterministic, auditable, and bias-resistant by design.
| Layer | Module | Axiom Source |
|---|---|---|
| 1 | data.py |
Domain Mastery |
| 2 | signals.py |
Relevance & Prioritization |
| 3 | hypothesis.py |
Intellectual Rigor |
| 4 | decision.py |
Analytical Independence |
| 5 | probabilistic.py |
Probabilistic Thinking |
| 6 | engine.py |
Error Tolerance & Adaptation |
| 7 | bias.py |
Bias Recognition & Mitigation |
| 8 | purity.py |
Objectivity & Non-Advocacy |
| 9 | reporting.py |
Communication Clarity |
| 10 | audit.py |
Accountability & Ownership |
| Repository | Description | Language | Status |
|---|---|---|---|
| solana-defi-protocol-core | CPAMM · Staking · Governance · SPL Launcher | Rust / Anchor | 🟢 Active |
| qti-emissions-controller | Squads-gated rate-limited SPL minting | Rust / Anchor | 🟢 Active |
| rp-jup-aggregator-v6 | Jupiter V6 HTTP 402-gated swap routing | TypeScript | 🟢 Active |
| cpamm-amm | Constant Product AMM core | TypeScript | 🟢 Active |
| QTI-token | QTI SPL token metadata & assets | CSS / JSON | 🟢 Mainnet |
| qti-launch-site | Public launch UI + Jupiter routing | TypeScript | 🟢 Live |
| quant-trading-bot-engine | AI-driven multi-exchange trading engine | Python | 🔒 Private |
| deasi-lean4 | Formal state-transition framework | Lean 4 | 🟢 Active |
| deasi-lean4-qti-emissions-controller | Formally verified emissions invariants | Lean 4 | 🟢 Active |
| proof-of-reserves | On-chain reserve attestation | — | 🔒 Private |
| solana-concurrent-merkle-tree-snapshot | Compliance CMT snapshot & audit evidence | Python | 🟢 Public |
| nbody-solar-simulator | N-body orbital mechanics with NASA JPL data | Python | 🟢 Public |
pip install -e .quant-arch --input example_market_data.csv --audit audit.jsonl --output results.csvfrom quant_arch.engine import run_pipeline
df = run_pipeline('example_market_data.csv', 'audit.jsonl')
print(df)- De-ASI-INTERFACE — ASI base layer & Solana agentic finance
- QuantumTradingInfinity — QTI protocol & quant infrastructure
- richy.ai — AI assistant & AGI systems
All deployed Solana programs are subject to deterministic builds and on-chain verification via solana-verify (OtterSec standard). Audit reports are published at AUDIT_REPORT.md. Vulnerability disclosures: open a Security Advisory.
© 2026 Richard Arlie Charles Patterson — All rights reserved where applicable.