Challenge
Reduce the time between an order appearing and a decision being made, remove constant manual monitoring and run multiple trading accounts without session collisions, duplicate handling or provider-limit violations.
FINTECH / AUTOMATION / TELEGRAM
A control system for high-speed P2C order flow
QRush is an operations platform for P2C merchants. It receives live order flow, evaluates each opportunity against trader-defined rules, coordinates isolated trading accounts and brings control, safety and analytics into one interface.
- Node.js
- WebSocket
- Socket.IO
- Playwright / CDP
- FastAPI
- aiogram
- PostgreSQL
- Redis
Why QRush was created
Why QRush was created
P2C decisions must be made within seconds. Manual monitoring consumes operator attention, adds latency and does not scale across multiple accounts. QRush continuously watches the flow, performs the first decision layer and coordinates the technical execution path.
Who the system serves
The product supports a P2C business owner, operators and individual traders. The owner manages access and shared rules, operators supervise the system, and each trader works with a dedicated range, limits and isolated session.
Solution
We built a server-side system with direct WebSocket monitoring, an order evaluation engine, isolated trading accounts and a Telegram interface. A fast event layer handles the live flow and decision path, while the control backend manages users, merchant profiles, limits, status, audit and operator commands.
Capabilities
Product capabilities
The capabilities support one operating scenario and share common state, control and analytics.
Real-time monitoring
The system receives P2C snapshots and updates over WebSocket and processes new opportunities as soon as they appear.
Trader-defined rules
Before any action, the engine validates identity, amount, currency, remaining lifetime and the configured range for that account.
Multiple accounts
Each merchant token has its own worker, runtime state and lock, keeping trading sessions isolated from one another.
Execution modes
The product supports observation without external actions, a confirmed single-order scenario and operation within a predefined budget.
Telegram control
Operators can review status, manage their profile, configure limits and use available actions without a separate complex dashboard.
Diagnostics and analytics
Structured logs, latency reports and regional comparisons reveal bottlenecks across the complete processing cycle.
Outcome
Outcome
QRush brings live order monitoring, trader rules, multi-account management, safety controls and operational analytics into one product. Instead of a collection of disconnected scripts, the team gets a managed service with shared state, a clear operator interface and an architecture ready to scale.
Node.js
WebSocket
Socket.IO
Playwright / CDP
FastAPI
aiogram
PostgreSQL
Redis
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