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VSX Crypto Notify - Screenshot 1 - Backend Service, CMS project

VSX Crypto Notify

Backend Service, CMS

Project Summary

VSX Crypto Notify is a system designed to help cryptocurrency traders spot arbitrage opportunities in real-time.

With its algorithms and data analysis techniques, this system scans multiple cryptocurrency markets and immediately alerts users whenever it detects a significant price difference.

Crypto Notify can spot and capitalize on arbitrage opportunities quickly.

By analyzing data from multiple markets in real-time, this system is able to identify opportunities that may be missed by other traders.

With its immediate notifications, Crypto Notify enables users to stay on top of market trends and make timely, informed decisions.

Another valuable feature of Crypto Notify is its design.

With a simple and clean interface, users can easily access the data and insights they need to make smart trading decisions.

Whether you are a seasoned cryptocurrency trader or a novice, Crypto Notify is a valuable resource that can help you stay ahead of the competition and maximize your returns.

Case Study

Overview

Built a real-time arbitrage alerting system that aggregates prices across exchanges, normalizes spreads, and notifies users when opportunities cross configured thresholds.

Problem

Traders were manually checking multiple exchanges and missing short-lived spreads. Data was inconsistent across sources, and raw price differences ignored fees, causing noisy alerts.

Solution

A Rails-based backend with a price aggregation layer, alert rules engine, and a lightweight dashboard for managing watchlists and reviewing alerts.

Goals

  • 1Monitor multiple exchanges and surface opportunities in near real time.
  • 2Normalize spreads by accounting for fees and transfer constraints.
  • 3Deliver alerts fast enough to act on short-lived opportunities.
  • 4Reduce duplicate or low-quality alerts from volatile price swings.
  • 5Provide a simple dashboard to track alert history and performance.

Approach

  • Pulled ticker data on a fixed cadence and normalized symbols across exchanges.
  • Used Redis for caching and deduplication to avoid alert spam.
  • Scheduled background jobs with Sidekiq to keep ingestion and alerting independent.
  • Applied spread rules with configurable thresholds and minimum liquidity checks.

Results & Impact

Outcomes

  • Improved visibility into multi-exchange spreads from a single view.
  • Reduced missed opportunities by alerting within seconds of a valid spread.
  • Cut noisy alerts by filtering out low-liquidity or fee-negative signals.

Key Metrics

Exchanges monitored
6-10
Active feeds per market.
Alert latency
5-12 sec
Detection to notification.
Pairs tracked
150-300
Top-volume markets.

Timeline

1
Market ingestionJan 2018

Ticker polling and normalization.

2
Alert rulesFeb 2018

Fees, thresholds, and dedupe.

3
Dashboard + tuningMar 2018

History, filters, and QA.

Challenges

  • Handling rate limits and inconsistent exchange APIs.
  • Filtering false spreads caused by low liquidity.
  • Balancing alert speed with data freshness and accuracy.

Project Info

Start:January 2018
End:
March 2018
Duration:2 months
Tech:11 used
Images:3 available

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Technologies Used

Ruby on Rails

MariaDB

Sidekiq

jQuery

Ruby

Redis

Bootstrap

HTML

CSS

Git

GCP

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