find-arbitrage-opps▌
hummingbot/skills · updated Apr 8, 2026
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Find arbitrage opportunities across all Hummingbot-connected exchanges by comparing prices for a trading pair, accounting for fungible tokens (e.g., BTC = WBTC, USDT = USDC).
find-arbitrage-opps
Find arbitrage opportunities across all Hummingbot-connected exchanges by comparing prices for a trading pair, accounting for fungible tokens (e.g., BTC = WBTC, USDT = USDC).
Prerequisites
Hummingbot API must be running with exchange connectors configured:
bash <(curl -s https://raw.githubusercontent.com/hummingbot/skills/main/skills/lp-agent/scripts/check_prerequisites.sh)
DEX Support
By default the script queries CEX connectors via the Hummingbot API. Add --dex to also fetch prices from:
| DEX | Chain | Default Network |
|---|---|---|
| Jupiter | Solana | mainnet-beta |
| Uniswap | Ethereum | mainnet |
| PancakeSwap | Ethereum (BSC) | bsc |
DEX prices are fetched directly via the Hummingbot Gateway. Make sure Gateway is running on http://localhost:15888 (or set GATEWAY_URL).
⚠️ BTC markets are only available to Australian residents on some exchanges. A warning is printed automatically when BTC/WBTC/cbBTC is included in the search.
Workflow
Step 1: Define Token Mappings
User specifies the base and quote tokens, including fungible equivalents:
- Base tokens: BTC, WBTC, cbBTC (all represent Bitcoin)
- Quote tokens: USDT, USDC, USD (all represent USD)
Step 2: Find Arbitrage Opportunities
# Basic - CEX only
python scripts/find_arb_opps.py --base BTC --quote USDT
# Include fungible tokens
python scripts/find_arb_opps.py --base BTC,WBTC --quote USDT,USDC
# Include DEX prices (Jupiter + Uniswap via Gateway)
python scripts/find_arb_opps.py --base SOL --quote USDC --dex
python scripts/find_arb_opps.py --base ETH,WETH --quote USDT,USDC --dex
# Minimum spread filter
python scripts/find_arb_opps.py --base SOL --quote USDC --dex --min-spread 0.1
# Filter to specific CEX connectors
python scripts/find_arb_opps.py --base BTC --quote USDT --connectors binance,kraken,coinbase
Step 3: Analyze Results
The script outputs:
- Prices from each CEX and DEX source
- Best bid/ask across all sources
- Arbitrage spread (buy low, sell high)
- Recommended pairs for arbitrage
Script Options
python scripts/find_arb_opps.py --help
| Option | Description |
|---|---|
--base |
Base token(s), comma-separated (e.g., BTC,WBTC) |
--quote |
Quote token(s), comma-separated (e.g., USDT,USDC) |
--connectors |
Filter to specific CEX connectors (optional) |
--dex |
Include DEX prices via Gateway (Jupiter + Uniswap) |
--min-spread |
Minimum spread % to show (default: 0.0) |
--json |
Output as JSON |
Output Example
============================================================
SOL / USDC Arbitrage Scanner
DEX: Jupiter (Solana mainnet-beta), Uniswap (Ethereum mainnet)
============================================================
Lowest: binance $132.4500
Highest: jupiter (DEX) $132.8900
Spread: 0.332% ($0.4400)
Sources: 5 prices from 5 sources
Top Arbitrage Opportunities:
--------------------------------------------------------
1. Buy binance @ $132.4500
Sell jupiter (DEX) @ $132.8900
Profit: 0.332% ($0.4400)
Environment Variables
export HUMMINGBOT_API_URL=http://localhost:8000
export API_USER=admin
export API_PASS=admin
export GATEWAY_URL=http://localhost:15888 # for DEX prices
Scripts check for .env in: ./hummingbot-api/.env → ~/.hummingbot/.env → .env
Requirements
- Hummingbot API running (for CEX prices)
- Gateway running (for DEX prices with
--dexflag) - Exchange connectors configured with API keys
How to use find-arbitrage-opps on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add find-arbitrage-opps
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches find-arbitrage-opps from GitHub repository hummingbot/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate find-arbitrage-opps. Access the skill through slash commands (e.g., /find-arbitrage-opps) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★33 reviews- ★★★★★Dhruvi Jain· Dec 24, 2024
find-arbitrage-opps reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Luis Khan· Dec 24, 2024
I recommend find-arbitrage-opps for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sofia Gupta· Dec 16, 2024
find-arbitrage-opps fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kabir Malhotra· Dec 12, 2024
Registry listing for find-arbitrage-opps matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sophia Park· Nov 19, 2024
Solid pick for teams standardizing on skills: find-arbitrage-opps is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Nov 15, 2024
I recommend find-arbitrage-opps for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Noah Sharma· Nov 15, 2024
find-arbitrage-opps reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mateo Park· Nov 7, 2024
find-arbitrage-opps is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Noah Reddy· Nov 3, 2024
Useful defaults in find-arbitrage-opps — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mateo Patel· Oct 26, 2024
Keeps context tight: find-arbitrage-opps is the kind of skill you can hand to a new teammate without a long onboarding doc.
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