How do I install the Finding Arbitrage Opportunities skill?

Run npx skillmds@latest add gabrielmoreira/finding-arbitrage-opportunities in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Finding Arbitrage Opportunities safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Finding Arbitrage Opportunities?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Finding Arbitrage Opportunities free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Finding Arbitrage Opportunities?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Finding Arbitrage Opportunities by gabrielmoreira

Name: Finding Arbitrage Opportunities
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

Finding Arbitrage Opportunities

Detect profitable arbitrage opportunities across CEX, DEX, and cross-chain markets in real-time. Use when scanning for price spreads, finding arbitrage paths, comparing exchange prices, or analyzing triangular arbitrage opportunities. Trigger with phrases like "find arbitrage", "scan for arb", "price spread", "exchange arbitrage", "triangular arb", "DEX price difference", or "cross-exchange opportunity".

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

Finding Arbitrage Opportunities

Overview

Detect and analyze arbitrage opportunities across cryptocurrency exchanges and DeFi protocols. Aggregates prices from CEX and DEX sources, calculates net profit after fees, and identifies direct, triangular, and cross-chain arbitrage paths.

Prerequisites

Python 3.9+ with httpx, rich, and networkx packages
Internet access for API calls (no API keys required for basic use)
Optional: Exchange API keys for real-time order book access
Understanding of arbitrage concepts and trading fees

Instructions

Quick spread scan on a specific pair:
```
python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC
```
Shows current prices per exchange, spread %, estimated profit after fees, and recommended action.

Multi-exchange comparison across specific exchanges:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC \
  --exchanges binance,coinbase,kraken,kucoin,okx

DEX price comparison across decentralized exchanges:
```
python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC --dex-only
```
Compares Uniswap V3, SushiSwap, Curve, Balancer with gas cost estimates.

Triangular arbitrage discovery within a single exchange:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py triangular binance --min-profit 0.5

Cross-chain opportunities across different blockchains:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py cross-chain USDC \
  --chains ethereum,polygon,arbitrum

Real-time monitoring with threshold alerts:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py monitor ETH USDC \
  --threshold 0.5 --interval 5

Export opportunities for bot integration:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC --output json > opportunities.json

Output

Quick mode (default): Best opportunity with profit estimate, buy/sell recommendation, risk level
Detailed mode (--detailed): All exchange prices, fee breakdown, slippage estimates, historical spread context
Monitor mode: Real-time updates with threshold alerts and trend indicators

See ${CLAUDE_SKILL_DIR}/references/implementation.md for exchange fee tables and output format examples.

Error Handling

Error	Cause	Fix
Rate limited	Too many API requests	Reduce polling frequency or add API key
Stale prices	Data older than 10s	Flagged with warning; retry
No spread	Efficient market pricing	Normal condition; try different pairs
Insufficient liquidity	Trade exceeds order book depth	Reduce trade size

Examples

Quick ETH/USDC spread scan - Find best buy/sell across all CEX exchanges:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC

Sample detection output:

  ARB OPPORTUNITY: ETH/USDC
  Buy:  Binance  @ $3,198.50  |  Sell: Coinbase @ $3,214.20
  Spread: 0.49%  |  Net Profit (after fees): 0.29% ($9.27 per ETH)
  Risk: LOW  |  Confidence: HIGH  |  Window: ~30s

Triangular arb on Binance - Discover circular paths with minimum 0.5% net profit:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py triangular binance --min-profit 0.5

Cross-chain USDC opportunities - Compare stablecoin prices across L1/L2 chains:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py cross-chain USDC --chains ethereum,polygon,arbitrum

Calculate exact profit - Detailed fee breakdown for a specific trade:

python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py calc \
  --buy-exchange binance --sell-exchange coinbase --pair ETH/USDC --amount 10  # 10 = trade size in ETH

Resources

CoinGecko API - Free price data
CCXT Library - Unified exchange API
Uniswap Subgraph - DEX data
${CLAUDE_SKILL_DIR}/references/implementation.md - Exchange fee tables, configuration, advanced arbitrage types, disclaimer

---name: finding-arbitrage-opportunitiesdescription: Detect profitable arbitrage opportunities across CEX, DEX, and cross-chain markets in real-time. Use when scanning for price spreads, finding arbitrage paths, comparing exchange prices, or analyzing triangular arbitrage opportunities. Trigger with phrases like "find arbitrage", "scan for arb", "price spread", "exchange arbitrage", "triangular arb", "DEX price difference", or "cross-exchange opportunity".license: MIT---# Finding Arbitrage Opportunities ## Overview Detect and analyze arbitrage opportunities across cryptocurrency exchanges and DeFi protocols. Aggregates prices from CEX and DEX sources, calculates net profit after fees, and identifies direct, triangular, and cross-chain arbitrage paths. ## Prerequisites - Python 3.9+ with `httpx`, `rich`, and `networkx` packages - Internet access for API calls (no API keys required for basic use) - Optional: Exchange API keys for real-time order book access - Understanding of arbitrage concepts and trading fees ## Instructions 1. **Quick spread scan** on a specific pair: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC ``` Shows current prices per exchange, spread %, estimated profit after fees, and recommended action. 2. **Multi-exchange comparison** across specific exchanges: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC \ --exchanges binance,coinbase,kraken,kucoin,okx ``` 3. **DEX price comparison** across decentralized exchanges: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC --dex-only ``` Compares Uniswap V3, SushiSwap, Curve, Balancer with gas cost estimates. 4. **Triangular arbitrage discovery** within a single exchange: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py triangular binance --min-profit 0.5 ``` 5. **Cross-chain opportunities** across different blockchains: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py cross-chain USDC \ --chains ethereum,polygon,arbitrum ``` 6. **Real-time monitoring** with threshold alerts: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py monitor ETH USDC \ --threshold 0.5 --interval 5 ``` 7. **Export opportunities** for bot integration: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC --output json > opportunities.json ``` ## Output - **Quick mode** (default): Best opportunity with profit estimate, buy/sell recommendation, risk level - **Detailed mode** (`--detailed`): All exchange prices, fee breakdown, slippage estimates, historical spread context - **Monitor mode**: Real-time updates with threshold alerts and trend indicators See `${CLAUDE_SKILL_DIR}/references/implementation.md` for exchange fee tables and output format examples. ## Error Handling | Error | Cause | Fix | |-------|-------|-----| | Rate limited | Too many API requests | Reduce polling frequency or add API key | | Stale prices | Data older than 10s | Flagged with warning; retry | | No spread | Efficient market pricing | Normal condition; try different pairs | | Insufficient liquidity | Trade exceeds order book depth | Reduce trade size | ## Examples **Quick ETH/USDC spread scan** - Find best buy/sell across all CEX exchanges: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py scan ETH USDC ``` Sample detection output: ``` ARB OPPORTUNITY: ETH/USDC Buy: Binance @ $3,198.50 | Sell: Coinbase @ $3,214.20 Spread: 0.49% | Net Profit (after fees): 0.29% ($9.27 per ETH) Risk: LOW | Confidence: HIGH | Window: ~30s ``` **Triangular arb on Binance** - Discover circular paths with minimum 0.5% net profit: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py triangular binance --min-profit 0.5 ``` **Cross-chain USDC opportunities** - Compare stablecoin prices across L1/L2 chains: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py cross-chain USDC --chains ethereum,polygon,arbitrum ``` **Calculate exact profit** - Detailed fee breakdown for a specific trade: ```bash python ${CLAUDE_SKILL_DIR}/scripts/arb_finder.py calc \ --buy-exchange binance --sell-exchange coinbase --pair ETH/USDC --amount 10 # 10 = trade size in ETH ``` ## Resources - [CoinGecko API](https://www.coingecko.com/en/api) - Free price data - [CCXT Library](https://github.com/ccxt/ccxt) - Unified exchange API - Uniswap Subgraph - DEX data - `${CLAUDE_SKILL_DIR}/references/implementation.md` - Exchange fee tables, configuration, advanced arbitrage types, disclaimer

Frequently asked questions

Finding Arbitrage Opportunities

File contents

Finding Arbitrage Opportunities

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources

Related skills

Frequently asked questions

How do I install the Finding Arbitrage Opportunities skill?

What does the Finding Arbitrage Opportunities skill do?

Is Finding Arbitrage Opportunities safe to use?

Which AI agents work with Finding Arbitrage Opportunities?

Is Finding Arbitrage Opportunities free to use?

Who published Finding Arbitrage Opportunities?