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The NetworkShowcase

Showcase

Legacy projects and code from the Lagrange era that contributed to the fXYZ Network.

Project Showcase

The fXYZ Network builds on years of development, research, and code from the Lagrange era (2021-2023). These projects represent our technical heritage and continue to influence our current architecture.

These projects are archived but their concepts and code have been integrated into the current fXYZ Network.


Lagrange Era Projects


Project Summary

ProjectTechnologyStatusEvolved Into
Lagrange UIReact, TradingViewArchivedECN Trading UI
FIX ServerNode.js, FIX 4.4ConceptsMulti-chain bridge
Governance UIReact, SolanaArchivedHolacracy system
Arbitrage BotPython, MLArchivedArbitrage engine
Q&A BotLangChain, TowheeArchivedFixie AI agents
FIBO ReferenceOWL, RDFActiveNeo4j FIBO schemas

Lagrange Trading Interface

Overview

The Lagrange Trading UI was a full-featured trading interface built on top of Solana/Serum's decentralized exchange.

Key Features:

  • TradingView charting library integration
  • Real-time order book display
  • Price action visualization
  • On-chain order execution

Technology Stack:

  • React frontend
  • Solana Web3.js
  • TradingView Advanced Charts
  • Serum DEX integration

What Survived

The trading UI concepts evolved into our current:

  • /markets/trade page in the main app
  • ECN order book implementation
  • Real-time price visualization

FIX Protocol Bridge

Overview

The FIX (Financial Information eXchange) Server was designed to bridge traditional forex systems with decentralized exchanges.

Purpose:

  • Connect traditional forex brokers to on-chain liquidity
  • Standardized protocol for order routing
  • Real-time price synchronization

Technical Details:

Traditional Forex (FIX 4.4)

FIX Gateway Bridge

Solana/Serum Order Book

Settlement

What Survived

The FIX bridge concept influenced:

  • Our multi-chain architecture design
  • API standards for external integrations
  • Price oracle aggregation patterns

Arbitrage Algorithms

Overview

The arbitrage detection system identified price discrepancies across markets for profitable trading opportunities.

Algorithms Implemented:

  1. Triangular Arbitrage

    • Detect price discrepancies within currency triangles
    • Calculate optimal order sizes
    • Execute simultaneous trades
  2. Inter-CEX Arbitrage

    • Monitor prices across centralized exchanges
    • Account for transfer fees and timing
    • Risk-adjusted opportunity scoring
  3. Genetic Optimization

    • Evolutionary algorithms for route optimization
    • A* pathfinding for order routing
    • Dynamic parameter adjustment

What Survived

These algorithms are now part of:

  • The fXYZ arbitrage engine
  • Price oracle aggregation
  • Trade routing optimization

Q&A Bot (lagbot_qa)

Overview

A LangChain-based conversational agent designed for knowledge retrieval and user assistance.

Features:

  • Natural language query processing
  • Knowledge base retrieval
  • Telegram bot integration
  • Towhee ML pipelines for embeddings

Architecture:

User Query

LangChain Agent

Vector Store (Embeddings)

Knowledge Retrieval

Response Generation

What Survived

This evolved directly into:

  • Fixie AI agents (1,050+ deployed)
  • Letta-powered conversation system
  • Telegram bot integration
  • Knowledge graph queries

Governance Interface

Overview

The Governance UI provided a interface for DAO proposal and voting mechanisms.

Features:

  • Proposal creation and submission
  • Token-weighted voting
  • Execution tracking
  • Community discussions

What Survived

Governance concepts evolved into:

  • Holacratic circle structure
  • Role-based permissions
  • Community participation mechanisms
  • GTD task management

FIBO Ontology Reference

Overview

The FIBO (Financial Industry Business Ontology) reference implementation provided standards-compliant data modeling.

Components:

  • Foundational (FND) concepts
  • Business Entities (BE)
  • Indices and Indicators (IND)
  • Corporate Actions and Events (CAE)

Still Active

FIBO concepts are actively used in:

  • Neo4j schema design
  • Party-Role-Context model
  • Agent classification
  • Entity relationships

Code Archive

The complete code for these projects is preserved in our archive:

archive/fxyz-knowledge-project/old-projects/lagrange-repos/
├── Lagrange-UI-master/
├── LAG_Openbook_FIX_Server-main/
├── lagbot_qa-main/
├── governance-ui-main/
├── Triangular-Arbitrage-Data-master/
└── fibo-master/

Knowledge Preservation

Why We Archive

These projects represent:

  • Institutional memory: Decisions and their rationale
  • Technical foundation: Code and patterns we built on
  • Learning opportunities: What worked and what didn't
  • Heritage: The journey to where we are today

Documentation Archive

Beyond code, we preserve:

  • 19 whitepaper versions
  • 5 pitch deck iterations
  • 24 SAFT agreements
  • 4,948 development conversations
  • 271 decision notes

Future Integration

We continue to draw from these projects for:

  • ECN Trading: Lagrange UI patterns
  • Bridge Integration: FIX protocol concepts
  • AI Agents: Q&A bot architecture
  • Analytics: Arbitrage algorithms
  • Schema Design: FIBO ontologies

These projects represent our technical heritage. While the code may be archived, their influence lives on in everything we build.