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Personal · Personal backend project

Signal Futures Python.

A Python pipeline for paper-trading signals.

My contribution

Personal backend project

Built with

Python / PostgreSQL / WebSocket / Telegram integration / Docker

Signal Futures Python application overview

The application

This Python system generates paper-trading signals for Binance USDT perpetual markets. It combines scheduled scanning, signal rules, persistence, notifications, and asynchronous monitoring.

What I built

I built the market-scanning and monitoring workflows, including PostgreSQL persistence and Telegram notifications.

Inside the project

Market scanning

Scheduled scanning applies support/resistance and price-action rules to market data.

Persistence and notifications

Generated paper-trading signals are stored in PostgreSQL and sent to Telegram.

Asynchronous monitoring

WebSocket price data supports target and stop-event monitoring. This project describes paper trading; it does not claim investment returns.

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