Seeking a Finance Capable Early Adopter Investor/Buyer for Fully Developed AI Trading System

7/14/2026
3 min read
By Bruce R. Long
marketingfinanceai
AI Trading system opportunity ad. The AI trading system is called LevAIthan. It uses Vertex AI to do mosaic and quant trading.


Merging Behavioural Statistics with Quantitative Architecture 🚀

To be clear upfront: I am not a broker, an accountant, or a licensed financial consultant. My background is in computer science, mathematics, analytic philosophy, and advanced psychology research statistics.

Over the past year, I have applied that exact intersection of disciplines to use AI to engineer a highly advanced, autonomous quantitative trading engine.

Rather than a standard algorithmic script, I’ve built a system that operates via dynamic cognitive routing. By integrating Google’s Vertex AI with real-time telemetry, the engine evaluates market microstructure, narrative entropy, and stochastic physics to make portfolio decisions based purely on mathematical probabilities and behavioral data.

The architecture is currently fully operational. In recent simulated deployments against institutional brokerages, the engine successfully generated over $3,000 in paper profits, utilizing strict risk management protocols like Ornstein-Uhlenbeck mean-reversion detection and an autonomous "Red-Team Veto."

System Telemetry & Architecture

Leviathan Live Brain Feed

Live Brain Feed: Adversarial AI reasoning identifying structural exhaustion and enforcing risk guards.

Leviathan Unified Ledger

Unified Ledger: Cross-broker portfolio tracking, tracking live capital exposure and ROI metrics.

Leviathan Overlord Command

Overlord Tuning Deck: Strategic meta-governance clamping tactical agents to specific market regimes.

Leviathan Quant Matrix

Quant Matrix: Deep-dive operational math, tracking fractal memory and information entropy.

The Opportunity

I am currently looking for an early adopter—a strategic, analytical partner willing to provide the initial operational capital to transition this engine from scaled testing to live deployment in a Joint Venture structure.

Buy in starts at USD$25000 for white label.

Exclusive rights for USD$250000.

The system is currently set up to use Australian IBKR as the primary broker interface for standard equities (not options), but is already also interfaced with Alpaca, MooMoo, and Kraken. US users can switch to Alpaca for the normal equities instrument trading tasks done by IBKR. (The system currently does use Alpaca for options trading, deploying the special Feigenbaum's constant prediction system I had the AI devise.)

Because I am a technologist and researcher, not a fund manager, the deployment architecture is completely trustless regarding fund custody:

  • đź”’ You retain 100% custody: You fund a standard brokerage account completely in your own name.

  • 🔌 API-Only Integration: You generate restricted, "Trade-Only" API keys with withdrawal permissions explicitly disabled.

  • 🛡️ Absolute Security: The AI manages the portfolio autonomously, but it is cryptographically impossible for the system (or me) to extract or transfer your funds.

Because we will be discussing your private capital allocation and my proprietary algorithmic methodology, our first step will be a straightforward Mutual NDA. This ensures your financial footprint and my intellectual property are equally protected from day one.

If you are an analytical mind interested in the intersection of AI, quantitative systems, and market psychology, I would be happy to arrange a live demonstration of the engine’s telemetry dashboard and decision-making logs.

Contact for Demonstration

#ArtificialIntelligence #QuantitativeFinance #VertexAI #AlgorithmicTrading #JointVenture #ComputerScience #BehavioralPsychology

Regulatory Disclaimer & Risk Warning This document and the associated technologies are presented for educational and demonstration purposes only. The creator is not a licensed financial advisor, broker-dealer, or registered investment advisor under ASIC, the SEC, or any other regulatory body. The results described herein reflect simulated (paper trading) environments designed to test algorithmic logic against historical and live market feeds. Past performance in simulated environments is not a reliable indicator of future results. All capital deployment structures discussed (such as Joint Ventures) are strictly subject to formal legal review, independent due diligence, and execution of appropriate Non-Disclosure and Partnership Agreements. Never risk capital you cannot afford to lose.

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