Case 01 · ASTRA · Algorithmic Trading & Applied ML

Autonomous Options Trading & DARWIN∞ Research Engine

Autonomous evolutionary research and low-latency execution on NSE index derivatives.

1.4s

Full Order Loop

P95 execution latency

312+

Straddles / Sec

Parallel strike evaluations

100%

Bit-Exact

Deterministic tick replay

5 Yrs

Tick Archive

Continuous walk-forward hyperopt

01

The Engineering Challenge

Trading NSE index options requires instantaneous reaction to regime changes, rapid volatility shifts, and complex multi-leg Greeks hedging. Manual backtesting and static heuristic rules routinely overfit historical data and fail when live market dynamics deviate from narrow training windows.

Lead Systems & Machine Learning Architecture Partner

Quantitative Systems Engineering & Distributed Backtesting

WebDior worked in tight co-development with quant researchers to design and build an autonomous strategy discovery platform. We engineered the asynchronous execution engine, the high-throughput WebSocket tick capture layer, and the DARWIN∞ genetic algorithm optimization pipeline.

Key Engineering Deliverables

  • DARWIN∞ evolutionary discovery pipeline generating candidate rule sets
  • Deterministic tick recording and bit-exact multi-year historical replay
  • Asynchronous execution engine with real-time multi-broker risk checks
  • High-performance FastAPI analytics service feeding Next.js Greeks radar
02

Production Architecture Blueprint

DARWIN∞ Evolution CoreVerified Spec

Genetic algorithm chromosome generator with fitness Pareto ranking

Standard: Walk-forward out-of-sample testing across 5-year tick archives

Eliminates selection bias and curve-fitting in derivative strategy development.

Market Tick IngestionVerified Spec

Asynchronous WebSocket connection pool with zero-loss circular buffers

Standard: < 850µs ingestion-to-memory latency

Captures rapid NSE options book dynamics without dropping microsecond spikes.

Risk & Position EngineVerified Spec

Hard delta/gamma circuit breakers and maximum margin utilization monitors

Standard: 100% pre-trade evaluation before order dispatch

Prevents runaway execution and ensures strict adherence to risk budgets.

Quant DashboardVerified Spec

Next.js App Router front end with real-time SSE stream & Greeks telemetry

Standard: 60 FPS rendering under high tick volatility

Gives desk operators complete real-time visibility into strategy execution.

03

Technologies & Frameworks

Python

Core Engine

FastAPI

Microservices

Next.js

Frontend

PostgreSQL

Storage

Redis

In-Memory Cache

Docker

Infrastructure

WebSockets

Real-Time Feeds
04

Technical Implementation Deep-Dive

01

Autonomous Strategy Evolution

DARWIN∞: Genetic Discovery Beyond Human Intuition

Traditional quantitative research suffers from cognitive bias: human analysts test variations of the same classic breakout or mean-reversion setups. DARWIN∞ treats trading logic as evolvable genetic chromosomes containing indicator thresholds, sizing functions, and exit triggers.

By running thousands of generation cycles against rolling out-of-sample market regimes, the engine discovers non-obvious orthogonal alpha factors that maintain edge across volatility spikes.

Autonomous evolutionary optimization testing millions of parameter permutations without overfitting.
02

Execution Engine

Deterministic Asynchronous Order Routing

When trading weekly options, a 2-second delay in delta hedging can turn a profitable multi-leg position into a catastrophic loss. We engineered an asynchronous Python execution core that dispatches multi-leg orders with strict atomic guarantees.

Every order undergoes automated pre-trade risk evaluation, margin verification, and liquidity checks before touching the broker API, ensuring total execution discipline.

03

Verification & Replay

Bit-Exact Tick Replay for Total Auditability

Every tick received from the exchange is captured into high-density storage. During strategy evaluation, our replay engine streams historical market state through the exact same execution code path used in production.

This bit-exact fidelity ensures that simulated slippage, queue priority, and fill ratios precisely mirror live exchange behavior.

05

Measurable Business Impact

1.4s P95

Full tick-to-order execution roundtrip under heavy market volatility

312 Straddles/s

Real-time parallel option strategy evaluations across all active strikes

0 Discrepancies

Audit trace parity between backtested fills and live broker execution

Engineering Boundary: WebDior provides distributed systems engineering and applied software development services only. We do not provide financial, trading, or investment advice.
Primary capability domain: Low-latency execution & market plumbing
Explore Financial infrastructure
06
Case 02 · NIKE Retail Innovation

Autonomous In-Store Kiosk with Geo-Inventory Mesh & Spatial AR

A tamper-proof in-store kiosk operating system integrating RealityKit 3D apparel inspection, conversational styling assistants, and sub-second geo-tagged cross-store inventory lookup.

Display engine: SwiftUI + RealityKit 60fps · Inventory lookup: Sub-second geo mesh

Case 03 · Kronos

Systematic Perpetual Futures Platform with 3-Tier Risk Gates

A high-performance crypto perpetuals trading system on Hyperliquid L1, featuring an asynchronous Rust execution loop, 3-tier risk gates, and a 2.51 Calmar ratio.

Execution loop: Rust async tokio · Performance: 77.7% CAGR / 2.51 Calmar

Case 04 · AI Outreach

Multi-Tenant B2B Outreach Engine with Model Gateway

A multi-tenant B2B outreach SaaS platform built with Next.js and NestJS, featuring row-level security, resilient multi-LLM failover, and zero-reputation-loss email deliverability.

Backend architecture: NestJS + Postgres RLS · AI Gateway: Claude, GPT-4o, Gemini auto-failover

Case 05 · Kempinski Hotels

Next-Gen In-Room iPad Operating System for Luxury Hospitality

A custom native iPadOS operating system for Kempinski Hotel Mall of the Emirates, integrating interactive 3D mall exploration, Opera Cloud PMS, and in-room service booking.

Client architecture: SwiftUI + Jamf Pro ASAM · PMS integration: Oracle Opera Cloud

Case 06 · Wonder Cement

Augmented Reality Civil Estimator with LiDAR Spatial Mesh

An augmented reality construction estimator app built with Flutter, ARCore, and ARKit LiDAR, calculating room planes, concrete slab volume, and bill of materials within ±2% accuracy.

AR Engine: ARKit LiDAR + ARCore depth · Spatial precision: ±2% vs physical laser

07Start your project

Let's build your
next product.

Have a project in mind or need senior engineers to scale? Tell us what you're building. We'll get back to you within 24 hours with timeline estimates and a clear plan.

01

Discovery call

A 30-minute working session to understand your product goals, technical needs, and timeline.

02

Actionable roadmap

Within 48 hours, you receive a clear scope, architecture plan, and milestone budget.

03

Weekly delivery

Senior engineers begin shipping working, production-ready software in transparent weekly sprints.

hello@webdior.comDelhi, IN — working worldwideBooking Q3 2026