Project Case Study
CAT / Crypto Arbitrage Tracker
Crypto Arbitrage Tracking & Market Opportunity Analysis System
CAT is a crypto market monitoring system designed to compare prices, detect price differences across exchanges, and analyze potential arbitrage opportunities. It focuses on data, speed, transparency, and risk-aware decision-making — considering not only raw spreads but also fees, liquidity, trading paths, and execution constraints.
Project Overview
Technical Summary
Project Type
Crypto market analysis and arbitrage tracking system
Anarchain Role
Product design, data architecture, backend, dashboard, API, opportunity detection logic, risk analysis
Status
MVP / Market Intelligence Tool
Target Users
Traders, market analysts, data teams, professional crypto users
Architecture
Market Data Pipeline + Arbitrage Engine + Dashboard
Core Value
Turning scattered price differences into analyzable opportunities
Core Challenges
The Problem CAT Solves
In crypto markets, the price of an asset can differ across exchanges and trading venues. But a raw price difference does not automatically mean a real arbitrage opportunity. Trading fees, liquidity, market depth, transfer time, withdrawal limits, slippage, network type, and execution risk must also be considered. CAT was designed to turn price differences into decision-ready analysis.
Price fragmentation across exchanges and markets
Difficulty comparing prices across multiple sources simultaneously
Gap between raw spread and an actually executable opportunity
Impact of fees, liquidity, and slippage on final profit
Risk of transfer time and price changes during execution
Need for a fast, filterable opportunity dashboard
Lack of opportunity scoring and prioritization
Need for stored data for trend analysis and future backtesting
Data Flow
Market Data Flow Topology
In CAT, price and market data is collected from multiple sources. Symbols and markets are normalized, prices compared, spreads calculated, and potential opportunities — along with risk, fees, and liquidity status — are delivered to the dashboard.
Technical Approach
CAT's Solution
CAT creates an analytical layer over crypto market data. It collects prices from multiple sources, makes them comparable, calculates price differences, and then — by factoring in execution constraints like fees, liquidity, risk, and timing — makes opportunities more understandable.
- Collect prices from multiple markets and exchanges
- Normalize symbols and trading pairs
- Calculate spread between markets
- Evaluate fees, liquidity, and slippage
- Prioritize opportunities with scoring
- Display opportunities in a filterable dashboard
- Store data for trend analysis and future backtesting
Data Sources
Market Sources & Exchanges
CAT can receive market data from centralized exchanges, decentralized exchanges, price APIs, and network data. Each data source plays a different role in arbitrage analysis.
Centralized Exchanges
Binance
CEXPrice, volume, spot markets, major trading pairs
OKX
CEXSpot markets, derivatives, liquidity and price data
KuCoin
CEXAltcoins, diverse pricing, price difference opportunities
Bybit
CEXActive markets, liquidity, price and trading context
Coinbase
CEXMajor asset prices, reliable markets and reference data
Decentralized Exchanges
Uniswap
DEXDEX liquidity, on-chain prices, AMM pool data
PancakeSwap
DEXBSC DEX, token prices, liquidity pool data
Market Data APIs
Market APIs
DataNetwork fees, price data, transfer status and risk context
Analysis Engine
Arbitrage Opportunity Engine
CAT's engine does not merely display price differences — it tries to transform price differences into analyzable opportunities. In this process, buy price, sell price, spread, trading fees, liquidity, execution risk, and market status are all evaluated.
Inputs
- Price at Market A
- Price at Market B
- Volume & Liquidity
- Trading Fee
- Withdrawal / Network Fee
- Estimated Slippage
- Transfer Time
- Market Constraints
Outputs
- Spread %
- Estimated Profit
- Risk Level
- Liquidity Status
- Opportunity Priority
- Suggested Path
- Alert / Watchlist
Risk Analysis
Arbitrage Is Not Just a Price Difference
One of the goals of CAT is to ensure users do not make decisions based on a spread number alone. In real markets, an arbitrage opportunity may disappear due to fees, slippage, low liquidity, withdrawal limits, rapid price changes, or transfer time.
Trading Fees (Buy + Sell)
Typically 0.1–0.5%+ depending on exchange
Withdrawal / Network Fee
Variable by network and time
Liquidity & Market Depth
Low volume eliminates the opportunity
Slippage
Higher in thin markets
Asset Transfer Time
Price may shift during transfer
Withdrawal / Deposit Limits
Some exchanges have restrictions
Rapid Price Change
Opportunity may close in seconds
Network Differences
EVM vs non-EVM adds complexity
Partial Execution Risk
Order partially filled or network error
Low Market Volume
Spread valid only for small size
System Output
Opportunity Dashboard
The output of CAT must be displayed in a fast, readable, and filterable dashboard — where users can sort and review opportunities by trading pair, exchange, spread %, risk level, liquidity, timing, and market status.
Technical Architecture
CAT Technical Architecture
CAT is designed with a multi-layer architecture so data from multiple sources can be received, made comparable, processed quickly, and displayed meaningfully in the dashboard.
Data Models
Data Models & System Complexity
To analyze arbitrage opportunities, the system must manage data across multiple sources, trading pairs, exchanges, prices, fees, liquidity, users, watchlists, and opportunity history.
Historical Data
Historical Analysis & Backtesting
By storing market snapshots and identified opportunities, CAT can be used for historical analysis, evaluating spread persistence, assessing opportunity quality, and optimizing scoring models.
- Store price and market snapshots
- Store identified opportunities with timestamps
- Measure how long opportunities persist
- Compare raw profit vs post-fee profit
- Analyze spread behavior over time
- Optimize filters and scoring models
- Prepare data for future prediction models
Scope of Work
What Anarchain Built
The Anarchain team worked on product design, data architecture, price collection, pair normalization, opportunity detection logic, analytics dashboard, APIs, data storage, and product roadmap for CAT.
Product design and user journey
Data architecture and market sources
Market API connection and management
Symbol and trading pair normalization
Spread calculation and opportunity analysis
Dashboard design and filters
Data models and snapshot storage
Backtesting infrastructure and historical analysis
SaaS roadmap and subscription model path
Integration with Anarchain data and crypto ecosystem
Strategic Importance
Why CAT Matters for Anarchain
CAT demonstrates that Anarchain can build data-driven tools for the crypto market — tools that require data collection, normalization, fast processing, risk analysis, historical storage, and decision-support display.
- Proves Anarchain's capability in Crypto Market Data Engineering
- Direct connection to the AI/Data and market analysis path
- Foundation for SaaS and subscription-based tools
- Suitable for content production at Coinbazan
- Complement to Crypto Data & Decision Assistant
- Strong reference for attracting FinTech and Crypto Intelligence projects
Development Stages
CAT Product Roadmap
MVP Market Tracker
Connect price sources, display price differences, initial dashboard
Arbitrage Engine
Spread, fees, liquidity, risk calculation and opportunity prioritization
Alerts & Watchlist
Alerts, watchlist, advanced filters, user preferences
Historical Data
Store snapshots, historical analysis, spread persistence review
Backtesting
Compare opportunities against market behavior, optimize scoring
AI/Data Integration
Connect to intelligent analysis layer for opportunity narration
SaaS Expansion
Subscription plans, API access, professional dashboard, team tools
Collaboration
Need a Market Analytics or Financial Data Tool?
If you need a market dashboard, opportunity tracking system, arbitrage tool, financial data analytics platform, trading alerts, or crypto data infrastructure, Anarchain can support you from architecture to development, backtesting, and deployment.