Market scanning
Scheduled scanning applies support/resistance and price-action rules to market data.
Personal · Personal backend project
A Python pipeline for paper-trading signals.

This Python system generates paper-trading signals for Binance USDT perpetual markets. It combines scheduled scanning, signal rules, persistence, notifications, and asynchronous monitoring.
I built the market-scanning and monitoring workflows, including PostgreSQL persistence and Telegram notifications.
Scheduled scanning applies support/resistance and price-action rules to market data.
Generated paper-trading signals are stored in PostgreSQL and sent to Telegram.
WebSocket price data supports target and stop-event monitoring. This project describes paper trading; it does not claim investment returns.



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