Lp Agent

lp-agent

This skill helps you run automated liquidity provision strategies on concentrated liquidity (CLMM) DEXs using Hummingbot API.

Tasks (start with any):

1. Pool Explorer - Find and explore Meteora pools
2. Strategy Selector - Choose between LP Executor or Rebalancer Controller
3. Deployment - Deploy, monitor, and stop LP strategies
4. Analysis - Visualize performance

Prerequisites

Before using this skill, ensure hummingbot-api is running:

bash <(curl -s https://raw.githubusercontent.com/hummingbot/skills/main/skills/lp-agent/scripts/check_prerequisites.sh)

If not installed, use the hummingbot-deploy skill first.

Gateway is required for LP operations. Start it with:

python scripts/manage_gateway.py start

To avoid RPC rate limits, configure a custom Solana RPC endpoint:

python scripts/manage_gateway.py network solana-mainnet-beta --node-url https://your-rpc-endpoint.com

Task 1: Pool Explorer

Use these scripts to find and explore Meteora DLMM pools before creating LP positions. Scripts are in this skill's scripts/ directory.

List Pools

Search and list pools by name, token, or address:

# Top pools by 24h volume
python scripts/list_meteora_pools.py

# Search by token symbol
python scripts/list_meteora_pools.py --query SOL
python scripts/list_meteora_pools.py --query USDC

# Search by pool name
python scripts/list_meteora_pools.py --query SOL-USDC

# Sort by different metrics
python scripts/list_meteora_pools.py --query SOL --sort tvl
python scripts/list_meteora_pools.py --query SOL --sort apr
python scripts/list_meteora_pools.py --query SOL --sort fees

# Pagination
python scripts/list_meteora_pools.py --query SOL --limit 50 --page 2

Output columns:

• Pool: Trading pair name
• Pool Address: Pool contract address (shortened, use get_meteora_pool.py for full address)
• Base (mint): Base token symbol with shortened mint address
• Quote (mint): Quote token symbol with shortened mint address
• TVL: Total value locked
• Vol 24h: 24-hour trading volume
• Fees 24h: Fees earned in last 24 hours
• APR: Annual percentage rate
• Fee: Base fee percentage
• Bin: Bin step (affects max position width)

Note: Token mints help identify the correct token when multiple tokens share the same name (e.g., multiple "PERCOLATOR" tokens).

Get Pool Details

Get detailed information about a specific pool. Fetches from both Meteora API (historical data) and Gateway (real-time data):

python scripts/get_meteora_pool.py <pool_address>

# Example
python scripts/get_meteora_pool.py ATrBUW2reZiyftzMQA1hEo8b7w7o8ZLrhPd7M7sPMSms

# Output as JSON for programmatic use
python scripts/get_meteora_pool.py ATrBUW2reZiyftzMQA1hEo8b7w7o8ZLrhPd7M7sPMSms --json

# Skip Gateway (faster, no bin distribution)
python scripts/get_meteora_pool.py ATrBUW2reZiyftzMQA1hEo8b7w7o8ZLrhPd7M7sPMSms --no-gateway

Data sources:

• Meteora API: Historical volume, fees, APR, token info, market caps
• Gateway (requires running Gateway): Real-time price, liquidity distribution by bin

Details shown:

• Token info (symbols, mints, decimals, prices)
• Pool configuration (bin step, fees, max range width)
• Real-time price from Gateway (SOL/token ratio)
• Liquidity distribution chart showing bins around current price
• Liquidity and reserves
• Volume across time windows (30m, 1h, 4h, 12h, 24h)
• Fees earned across time windows
• Yield (APR, APY, farm rewards)
• Fee/TVL ratio (profitability indicator)

Choosing a Pool

When selecting a pool, consider:

1. TVL: Higher TVL = more stable, but also more competition
2. Volume: Higher volume = more fee opportunities
3. Fee/TVL Ratio: Higher = more profitable per $ of liquidity
4. Bin Step: Determines max position width
   • bin_step=1 → max ~0.69% width (tight ranges)
   • bin_step=10 → max ~6.9% width (medium ranges)
   • bin_step=100 → max ~69% width (wide ranges)

Task 2: Strategy Selector

Help the user choose the right LP strategy. See references/ for detailed guides.

LP Rebalancer Controller (Recommended)

Reference: references/lp_rebalancer_guide.md

A controller that automatically manages LP positions with rebalancing logic.

Best for: Longer-term LP strategies, range-bound markets, automated fee collection.

LP Executor (Single Position)

Reference: references/lp_executor_guide.md

Creates ONE liquidity position with fixed price bounds. No auto-rebalancing.

Best for: Short-term positions, limit-order-style LP, manual management, testing.

Quick Comparison

Task 3: Deployment

Deploy LP Rebalancer Controller (Recommended)

Reference: See references/lp_rebalancer_guide.md for full configuration details, rebalancing logic, and KEEP vs REBALANCE scenarios.

Auto-rebalances positions when price moves out of range. Best for hands-off LP management.

# 1. Create LP Rebalancer config
python scripts/manage_controller.py create-config my_lp_config \
    --pool <pool_address> \
    --pair SOL-USDC \
    --amount 100 \
    --side 1 \
    --width 0.5 \
    --offset 0.01 \
    --rebalance-seconds 60 \
    --sell-max 100 \
    --sell-min 75 \
    --buy-max 90 \
    --buy-min 70

# 2. Deploy bot with the config
python scripts/manage_controller.py deploy my_lp_bot --configs my_lp_config

# 3. Monitor status
python scripts/manage_controller.py status

Key Parameters:

Deploy Single LP Executor (Alternative)

Reference: See references/lp_executor_guide.md for state machine, single/double-sided positions, and limit range orders.

Creates ONE position with fixed bounds. Does NOT auto-rebalance.

python scripts/manage_executor.py create \
    --pool <pool_address> \
    --pair SOL-USDC \
    --quote-amount 100 \
    --lower 180 \
    --upper 185 \
    --side 1

Key Parameters:

Monitor & Manage

Check Status:

# Bot status
python scripts/manage_controller.py status

# Executor list
python scripts/manage_executor.py list --type lp_executor

# Executor details
python scripts/manage_executor.py get <executor_id>

# Executor summary
python scripts/manage_executor.py summary

Executor States:

• OPENING - Creating position on-chain
• IN_RANGE - Position active, earning fees
• OUT_OF_RANGE - Price outside position bounds
• CLOSING - Removing position
• FAILED - Transaction failed

Stop:

# Stop bot (stops all its controllers)
python scripts/manage_controller.py stop my_lp_bot

# Stop individual executor (closes position)
python scripts/manage_executor.py stop <executor_id>

# Stop executor but keep position on-chain
python scripts/manage_executor.py stop <executor_id> --keep-position

Task 4: Analysis

Use the analysis scripts to export data and generate visual dashboards. Scripts are in this skill's scripts/ directory.

LP position events (ADD/REMOVE) are recorded immediately when transactions complete on-chain, so analysis works for both running and stopped bots.

Available Scripts

Visualize LP Positions

Shows position ADD/REMOVE events from the blockchain. Works for both running and stopped bots.

# Basic usage (auto-detects database in data/)
python scripts/visualize_lp_positions.py --pair SOL-USDC

# Specify database explicitly
python scripts/visualize_lp_positions.py --db data/my_bot.sqlite --pair SOL-USDC

# Filter by connector
python scripts/visualize_lp_positions.py --pair SOL-USDC --connector meteora/clmm

# Last 24 hours only
python scripts/visualize_lp_positions.py --pair SOL-USDC --hours 24

Dashboard Features:

• KPI cards (total PnL, fees, IL, win/loss counts)
• Cumulative PnL & fees chart
• Price at open/close with LP range bounds
• Per-position PnL bar chart
• Duration vs PnL scatter plot
• Sortable positions table with Solscan links

Export to CSV

# Export all position events
python scripts/export_lp_positions.py --db data/my_bot.sqlite

# Filter by trading pair
python scripts/export_lp_positions.py --pair SOL-USDC --output exports/positions.csv

# Show summary without exporting
python scripts/export_lp_positions.py --summary

Quick Reference

Common Workflows

Start LP Rebalancer:

# 1. Find pool
python scripts/list_meteora_pools.py --query SOL-USDC

# 2. Check bin_step
python scripts/get_meteora_pool.py <pool_address>

# 3. Create config and deploy
python scripts/manage_controller.py create-config my_lp --pool <pool_address> --pair SOL-USDC --amount 100
python scripts/manage_controller.py deploy my_bot --configs my_lp

# 4. Verify
python scripts/manage_controller.py status

Analyze LP Positions:

# Visualize
python scripts/visualize_lp_positions.py --pair SOL-USDC

# Export CSV
python scripts/export_lp_positions.py --pair SOL-USDC

Scripts Reference

Error Troubleshooting