The Optiq Architecture

Optiq is built with scale, speed, and data integrity in mind. Below is a breakdown of the technical infrastructure that powers the platform.

🔗 Tech Stack Overview

Layer
Stack

Frontend

React.js (with TypeScript), Tailwind CSS, Framer Motion

Backend

Node.js (NestJS), Redis (Pub/Sub), PostgreSQL, GraphQL

Data Layer

Solana JSON-RPC, Helius API, Tensor Trade API, Jito RPC

Realtime Engine

WebSockets + Redis Streams

Alert System

Temporal.io for job orchestration, BullMQ for queuing

Authentication

Wallet-based login (Phantom, Backpack etc.), JWT fallback

Cloud

Deployed via Vercel (Frontend) + AWS Lambda (Backend)

Monitoring

Datadog, Sentry, and custom Prometheus metrics on wallet events

Real-Time Indexing

Optiq continuously listens to on-chain Solana activity through high-throughput RPC endpoints (Jito & Helius), dynamically indexing transactions, token movements, and NFT transfers. Wallets are categorized by behavior using a behavior-tree scoring model.

Each wallet is processed in <200ms through a lightweight data stream pipeline that queues it for user-facing analytics or internal tagging (e.g., "Scalp Wallet", "KOL", "AI Pick").

AI-Based Behavior Classification (Coming Soon)

Leveraging embeddings from token movement history and trade heuristics, Optiq classifies wallets by intent — speculation, farming, wash trading, or organic accumulation — and flags patterns for future alert systems.

Aesthetic choices

The Optiq interface was designed around a black-and-yellow visual theme, a nod to hazard stripes, tactical gear, and the edge required to win in volatile markets.

This theme helps traders focus quickly on key metrics like PnL, win/loss rates, and scalp alerts — without clutter or unnecessary animations. Yellow highlights urgent information (alerts, spikes), while black provides contrast and depth.

The images displayed are for demo purposes only.

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