Fintech & Automation

Trade Buddy Broker

Celery-Powered Algorithmic Crypto Trading & Real-time WebUI

ClientPersonal
DurationNov 2023 - Jan 2024
StatusCompleted
Trade Buddy Broker

Architecture & Technologies

Core technologies, frameworks, and APIs powering this project.

Python
Python
Flask
Flask
Pandas
Pandas
NumPy
NumPy
Delta Exchange
Delta Exchange
Docker
Docker
Celery
Celery
Executive Summary

Project Overview

Trade Buddy Broker is an automated cryptocurrency algorithmic trading system and live monitoring dashboard. The platform utilizes custom Python scripts to continuously scan the crypto markets for predefined trade setups based on technical indicators. Once a signal is identified, the system automatically executes the trades in a non-blocking, automated manner using both paper trading and real brokerage accounts via Delta Exchange APIs. This automation has dramatically reduced manual monitoring time, improved execution accuracy, and eliminated emotional bias and mental pressure from the trading process.

The Bottleneck

The Challenge

Manual cryptocurrency trading demands 24/7 market watching, resulting in emotional decision-making, missed opportunities, and high psychological stress. Building a low-latency execution pipeline that scans multiple trading pairs, filters reliable signals, manages risk (stop-loss/take-profit), and logs real-time operations without human intervention was a critical engineering challenge.

Our Approach

The Solution

We designed an end-to-end automated system using Python, Pandas, and NumPy for signal generation, and Celery for distributed task queues to handle asynchronous order execution. The system connects directly to Delta Exchange APIs for paper and live trading. The Celery-powered backend ensures non-blocking, concurrent task handling and logs all algo signals, success reports, error traces, and performance stats to a unified WebUI dashboard.

Capabilities

• Real-time Market Data Streaming (WebSockets) • Predefined strategy scanning & signal generation • Live and Paper Trading via Delta Exchange APIs • Automated Stop-Loss & Risk Management • Asynchronous task queuing using Celery • Live performance, equity curves & error log dashboard

Core Components

Market Scanning Engine (Python, Pandas, NumPy)
Order Execution Engine (Delta Exchange API Integration)
Asynchronous Task Queue (Celery & Redis)
Dashboard WebUI (Flask, HTML, CSS)
Notification & Logger Service
Proven Outcomes

Results & Impact

The system successfully automated trade scans and execution, reducing manual trading workloads, raising trade execution precision, and eliminating emotional stress and mental pressure.

Project Gallery

Trade Buddy Broker screenshot 1
“

“Automating our strategy scans and execution via Delta Exchange and Celery has eliminated the emotional bias of manual trading. It is fast, accurate, and completely stress-free.”

C

Client

Trader

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