trading webhook execution architect

The problem

Bridging the gap between TradingView alerts and broker execution often leads to dropped signals, duplicate orders, or orphaned stop-losses. Developers struggle to build resilient middleware that handles API timeouts, partial fills, and complex order lifecycles without risking capital.

What it does

• Generates precise Pine Script alert logic to package strategy conditions into structured JSON payloads.
• Architects canonical JSON schemas for market, limit, and stop orders including risk parameters.
• Maps execution logic to specific broker APIs like Binance, Bybit, Alpaca, and Interactive Brokers.
• Designs automated failure-handling matrices for network timeouts, order rejections, and balance issues.
• Builds idempotency and deduplication specs to prevent multiple entries from a single signal.

Frameworks & tools

TradingView (Pine Script), Redis (for deduplication), REST APIs (Binance, Bybit, Alpaca, MT5), and Webhooks (HTTPS/JSON).

Why this beats prompting it yourself

Standard LLMs often overlook the critical edge cases of live trading like race conditions between entry and stop-loss placement. This skill enforces a "safety-first" architecture that includes circuit breakers, heartbeat checks, and precise field mapping that prevents costly execution errors.

Use cases

• Automating crypto futures trading on Binance using moving average crossovers.
• Building a robust middleware to sync TradingView strategies with Alpaca for equities.
• Designing a high-reliability webhook receiver with Redis-based signal deduplication.
• Scaling a strategy to multiple symbols with centralized risk and position sizing.

Known limitations

Requires a secure backend service to host the webhook receiver and store broker API keys. Users must handle exchange-specific quantity and price precision requirements manually.