Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Avantis Skill
Execute leverage trading on Avantis (Base). Long/short crypto, forex, commodities with up to 100x leverage. Uses Python SDK with direct wallet integration.
skill openclawclawhub Free
Execute leverage trading on Avantis (Base). Long/short crypto, forex, commodities with up to 100x leverage. Uses Python SDK with direct wallet integration.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, references/quick-start.md, scripts/check-positions.py, scripts/close.py, scripts/positions.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- droppingbeans
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Avantis Leverage Trading
Execute leverage trades on Avantis - Base's largest derivatives exchange for crypto, forex, commodities, and indices.
Check Positions
avantis_venv/bin/python skills/avantis/scripts/positions.py
Open Trade
# 5x long ETH with $10 collateral avantis_venv/bin/python skills/avantis/scripts/trade.py long ETH 10 5 # 10x short BTC with $20 collateral avantis_venv/bin/python skills/avantis/scripts/trade.py short BTC 20 10
Close Position
# Close specific position avantis_venv/bin/python skills/avantis/scripts/close.py <pair_index> <trade_index> # Or close all positions for a pair avantis_venv/bin/python skills/avantis/scripts/close.py ETH
Wallet Configuration
Main Wallet: 0x79622Ea91BBbDF860e9b0497E4C297fC52c8CE64 Private key: /home/ubuntu/clawd/MAIN_WALLET.txt USDC approved: 100 USDC Gas balance: 0.004500 ETH (~89 trades)
Crypto (up to 50x)
ETH/USD, BTC/USD, SOL/USD, LINK/USD ARB/USD, OP/USD, AVAX/USD, etc.
Forex (up to 100x)
EUR/USD, GBP/USD, USD/JPY, AUD/USD USD/CAD, USD/CHF, NZD/USD
Commodities (up to 100x)
Gold (XAU/USD), Silver (XAG/USD) Oil (WTI, Brent)
Indices (up to 50x)
SPX, NDX, DJI
Leverage Trading
Long: Profit when price goes up Short: Profit when price goes down Min leverage: 2x Max leverage: 50x crypto, 100x forex/commodities
Risk Management
Take Profit: Auto-close at target price (max 500% of entry) Stop Loss: Auto-close to limit losses Margin Updates: Add/remove collateral to adjust leverage Partial Close: Close portion of position
Fee Features
Loss Protection: Up to 20% rebate on losses when trading against popular sentiment Positive Slippage: Better execution when helping balance open interest Dynamic Fees: 0.04-0.1% based on market conditions
Open a Position
# Long ETH: 5x leverage, $10 collateral # Position size: $50 (10 Γ 5) python scripts/trade.py long ETH 10 5 # With take profit and stop loss python scripts/trade.py long ETH 10 5 --tp 3500 --sl 3000
Check Positions
python scripts/positions.py # Output: # π Open positions: 1 # β’ LONG 5x | $10 collateral | ETH/USD # β’ Entry: $3200 | Current: $3250 # β’ PnL: +$7.81 (+7.81%)
Close Position
# Full close python scripts/close.py 0 0 # pair_index=0 (ETH), trade_index=0 # Partial close (50%) python scripts/close.py 0 0 --amount 5
Update Stop Loss / Take Profit
python scripts/update-tpsl.py 0 0 --tp 3800 --sl 3100
Minimum Position Size
ETH/USD: ~$30 minimum position BTC/USD: ~$50 minimum position Formula: collateral Γ leverage β₯ minimum
Examples
β $5 Γ 5x = $25 position (too small for ETH) β $10 Γ 5x = $50 position (works for ETH) β $20 Γ 2.5x = $50 position (works for ETH)
Recommended Sizing
Start small: $10-20 collateral for testing Scale up: After confirming strategy works Max risk: Don't exceed 5-10% of account per trade
Conservative (2-5x)
Lower liquidation risk Smaller gains/losses Good for: Learning, uncertain markets
Moderate (5-10x)
Balanced risk/reward Common for crypto trading Good for: Directional plays
Aggressive (10-50x)
High liquidation risk Large potential gains/losses Good for: Short-term scalping, tight stops
Extreme (50-100x)
Very high liquidation risk Only for forex/commodities Good for: Expert traders only
Trading Fees
Opening: 0.04-0.1% of position size (dynamic) Closing: 0.04-0.1% of position size Example: $50 position Γ 0.08% = $0.04 fee
Execution Fee
Cost: ~$0.10-0.30 in ETH per transaction Covers: Base network gas fees Auto-calculated: SDK handles this
Margin Fee
Accrual: 0.02-0.05% daily on position size Example: $50 position Γ 0.03% = $0.015/day Deducted: When closing or updating margin
Risk Warnings
β οΈ Liquidation Risk Position liquidates if losses exceed collateral Higher leverage = faster liquidation Monitor positions regularly β οΈ Market Risk Crypto/forex markets are volatile Prices can move against you quickly Use stop losses β οΈ Fee Impact Small positions pay proportionally more fees Margin fees accrue daily Factor fees into profit calculations
Before Trading
Check balance: Ensure sufficient USDC + gas Check market: Look at current price/volatility Calculate risk: Know your max loss Set stops: Always use stop loss for leverage
During Trade
Monitor positions: Check regularly (especially high leverage) Adjust if needed: Update TP/SL based on market Scale out: Consider partial closes to lock profit Watch fees: Margin fees accrue daily
After Trade
Review performance: What worked, what didn't Update strategy: Adjust sizing/leverage based on results Document lessons: Add to continuous-learning instincts
"BELOW_MIN_POS" Error
Position size too small Solution: Increase collateral or leverage
"Price Feed Down" (503 Error)
Avantis infrastructure issue Solution: Wait 5-10 minutes and retry
"Insufficient Balance"
Not enough USDC or gas Solution: Add funds to wallet
Transaction Reverts
Usually approval or balance issue Solution: Check allowance, re-approve if needed
Limit Orders
# Open long at specific price python scripts/trade.py long ETH 10 5 --limit 3000
Margin Updates
# Add $5 collateral (reduces leverage) python scripts/update-margin.py 0 0 --deposit 5 # Remove $3 collateral (increases leverage) python scripts/update-margin.py 0 0 --withdraw 3
Market Research
# Get current price + analysis python scripts/market-info.py ETH # Compare multiple assets python scripts/market-info.py ETH BTC SOL
Bankr (Optional)
Can use Bankr for market research Avantis for actual trade execution Keep separate for now (different wallets)
Continuous Learning
Track successful strategies in instincts/crypto/ Note leverage levels that work Document entry/exit patterns
Strategic Compact
Checkpoint after closing positions Review performance during checkpoints Adjust strategy based on results
Resources
Platform: https://avantisfi.com SDK Docs: https://sdk.avantisfi.com Trading Guide: https://docs.avantisfi.com Discord: https://discord.gg/avantis
Scripts Reference
All scripts in skills/avantis/scripts/: positions.py - View open positions trade.py - Open new position close.py - Close position (full or partial) update-tpsl.py - Update take profit / stop loss update-margin.py - Add/remove collateral market-info.py - Get market data balance.py - Check wallet balances
Installation
The SDK is already installed in /home/ubuntu/clawd/avantis_venv/: # Activate venv (if needed for manual testing) source /home/ubuntu/clawd/avantis_venv/bin/activate # Check installation python -c "from avantis_trader_sdk import TraderClient; print('β SDK ready')"
Safety Checklist
Before every trade: Check wallet balance (USDC + gas) Verify leverage is appropriate Set stop loss Confirm position size meets minimum Understand max loss scenario Have exit plan ready β οΈ Important: Leverage trading is high risk. Start small, use stop losses, never risk more than you can afford to lose.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs3 Scripts
- SKILL.md
- README.md
- references/quick-start.md
- scripts/check-positions.py
- scripts/close.py
- scripts/positions.py