Operational Terminal for On-Chain Forensics, DeFi Tracking, and Dynamic Asset Allocation.
Built with AI as a cognitive exoskeleton. Driven by Behavioral Pattern Recognition.
This terminal is not just a portfolio tracker; it is the quantitative extraction of a behavioral framework.
Markets are not just numbers; they are psychology translated into flows. The core philosophy behind this architecture is that analytical sensitivity is an edge. Human behavioral patterns work similarly to a mixer protocol: the output is visible and powerful, but the internal routing is impossible to trace and judge from the outside.
This terminal is built to decode those on-chain flows and manage exposure dynamically.
- Dual-State Engine: Instant toggle between Base Cost (Zero Points) and Live Market Power (powered by CoinGecko API & Yahoo Finance fallback).
- Macro Target Radar: Real-time tracking of the 33/33/33 architectural split (TradFi ETF / Liquidity Parachute / Crypto Big Caps).
- DeFi Collateral Matrix: Granular monitoring of capital efficiency, tracking LTV (Loan-to-Value), active leverage (currently averaging 3.9x), and smart contract health bars.
- Institutional OpSec: "Privacy Blur" toggle to instantly mask sensitive capital amounts while keeping percentages and architecture visible.
- Hidden Admin Terminal: Accessible only via Konami Code (
Up, Up, Down, Down) for manual synchronization and data injection via LocalStorage.
- Frontend: Vanilla HTML5, CSS3, JavaScript (ES6+). No heavy frameworks, purely optimized for speed and fluidity.
- Visualization: Chart.js for responsive, glowing, and interactive data layers.
- Data Feeds: Asynchronous API integration (CoinGecko for Web3, Yahoo Finance for TradFi via proxy).
- Clone the repo: git clone git clone https://github.com/alex-lamport/fortezza.git
- Open
index.htmlin your browser. - Explore the dashboard: Toggle views, activate Privacy Blur, and use Konami Code for the admin terminal.
The values, wallet addresses, and capital amounts shown in the live demo/screenshots are heavily altered or injected with dummy data for OpSec and privacy reasons. The underlying logic, the LTV algorithms, and the portfolio percentages are entirely authentic.
Building in Public. Feedback from other builders, on-chain analysts, and reasoning engineers is always welcome.
Follow me on X: @alex_lamports
MIT License – Feel free to fork, modify, and build upon this.