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Institutional Infrastructure

OUR
SERVICES

From custom strategy encoding to institutional infrastructure deployment. We handle the tech, you handle the alpha.

01

Strategy Development

Conversion of manual trading logic into specialized Python classes. Implementation of pandas for time-series analysis and backtrader for validation.

  • def vectorbt_backtest():
  • return parameter_optimization
  • yield walk_forward_analysis
02

Cloud Infrastructure

Secure, low-latency execution environments. We deploy your bots to AWS/DigitalOcean with automated restart scripts and logging.

  • > AWS EC2 / Lambda
  • > Docker Containerization
  • > PM2 Process Management
03

Custom Dashboards

Real-time monitoring interfaces to track P&L, open positions, and system health across multiple accounts.

  • ["React/Next.js",
  • "WebSocket Feed",
  • "Admin Controls" ]
04

Backtest as a Service

We backtest your strategy using Python. Validate your ideas with historical data to ensure robustness before live deployment.

  • import pandas_ta as ta
  • 10 Custom Changes Included
  • Price: ₹1000 - ₹7000
05

Copy Trading System

Replicate trades from a Master account to unlimited Slave accounts instantly. Supports Dhan, Zerodha, Angel One, and Upstox.

  • < 50ms Latency
  • Auto Multiplier Logic
  • Cloud Hosted Engine
06

Behavioral Analysis

The "Psychology Guard" for your trading desk. Auto-sync trades, detect revenge patterns, and identify holding behaviors that drain your P&L.

  • Auto Multi-Broker Sync (Zerodha, Dhan, Upstox, etc.)
  • Risk Mistake Scoring
  • Insights AI Driven Pattern Detection
07

Option Chain Pro

Institutional-grade analytics terminal for Upstox. Track Live PCR, Overall Day PCR, Max Pain, and Gamma Walls with millisecond WebSocket feeds.

  • PCR Live & Overall Day Data
  • Excel One-Click Portability
  • Index NF/BNF/FIN/SENSEX

Process Architecture // How We Work

1

Discovery

We sign a mutual NDA and deep-dive into your proprietary logic, risk parameters, and preferred broker APIs.

2

Development

Our quant engineers translate your strategy into high-concurrency Python, integrating Pandas-TA and broker-specific WebSocket layers.

3

Validation & QA

Rigorous historical stress tests and paper-trading phase to verify order fulfillment speeds and logic accuracy under volatility.

4

Deployment

Private cloud setup (AWS/DigitalOcean), environment hardening, and final handover of full source code with documentation.