base-trader
Autonomous crypto trading on Base via Bankr. Use for trading tokens, monitoring launches, executing strategies, or managing a trading portfolio. Triggers on "trade", "buy", "sell", "launch", "snipe", "profit", "PnL", "portfolio balance", or any crypto trading task on Base.
Best use case
base-trader is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Autonomous crypto trading on Base via Bankr. Use for trading tokens, monitoring launches, executing strategies, or managing a trading portfolio. Triggers on "trade", "buy", "sell", "launch", "snipe", "profit", "PnL", "portfolio balance", or any crypto trading task on Base.
Teams using base-trader should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/base-trader/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How base-trader Compares
| Feature / Agent | base-trader | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Autonomous crypto trading on Base via Bankr. Use for trading tokens, monitoring launches, executing strategies, or managing a trading portfolio. Triggers on "trade", "buy", "sell", "launch", "snipe", "profit", "PnL", "portfolio balance", or any crypto trading task on Base.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Base Trader 📈
Autonomous trading system for Base chain via Bankr API.
## Philosophy
> *"The market is a machine for transferring wealth from the impatient to the patient."*
This skill prioritizes **capital preservation** over aggressive gains. Every trade has defined risk parameters. No YOLO.
## Prerequisites
- Bankr API configured at `~/.clawdbot/skills/bankr/config.json`
- ETH in your Bankr wallet for gas and trading
- Check your wallet address with: `bankr.sh "What is my wallet address?"`
## Core Principles
### 1. Risk Management (NON-NEGOTIABLE)
```
MAX_POSITION_SIZE = 10% of portfolio
MAX_SINGLE_TRADE = $50 USD
STOP_LOSS = -15% from entry
TAKE_PROFIT = +30% minimum target
MAX_DAILY_LOSS = -20% of starting balance
```
If daily loss limit hit → STOP TRADING FOR 24 HOURS.
### 2. Entry Criteria (ALL must pass)
Before ANY buy:
- [ ] Liquidity > $10k
- [ ] Contract verified on Basescan
- [ ] No honeypot indicators (can sell)
- [ ] Not on known scam list
- [ ] Age > 5 minutes (avoid rugs at launch)
- [ ] Price action shows accumulation, not dump
### 3. Exit Rules
**Take Profit (scale out):**
- 25% at +30%
- 25% at +50%
- 25% at +100%
- Hold 25% moonbag
**Stop Loss:**
- Hard stop at -15%
- No averaging down on losers
## Trading Strategies
### Strategy 1: Launch Sniper (HIGH RISK)
Monitor new token launches, enter early with small size.
```bash
# Check trending/new tokens
scripts/bankr.sh "What tokens are trending on Base?"
# Research before buying
scripts/bankr.sh "What's the liquidity for TOKEN on Base?"
# Small entry
scripts/bankr.sh "Buy $20 of TOKEN on Base"
```
**Rules:**
- Max $20 per snipe
- Sell 50% at 2x, rest at 5x or stop loss
- Max 3 snipes per day
### Strategy 2: Momentum Trading (MEDIUM RISK)
Trade established tokens showing strength.
**Entry signals:**
- Price > 20-period MA
- Volume increasing
- Higher lows forming
```bash
# Check momentum
scripts/bankr.sh "Do technical analysis on TOKEN"
# Enter with limit order
scripts/bankr.sh "Buy $30 of TOKEN if price drops to X"
```
### Strategy 3: DCA Blue Chips (LOW RISK)
Steady accumulation of proven tokens.
```bash
# Weekly DCA
scripts/bankr.sh "DCA $20 into ETH every week on Base"
scripts/bankr.sh "DCA $10 into USDC every week on Base"
```
## Execution via Bankr
### Check Portfolio
```bash
~/clawd/skills/bankr/scripts/bankr.sh "Show my portfolio on Base"
```
### Execute Trade
```bash
~/clawd/skills/bankr/scripts/bankr.sh "Buy $25 of TOKEN on Base"
```
### Set Stop Loss
```bash
~/clawd/skills/bankr/scripts/bankr.sh "Set stop loss for TOKEN at -15%"
```
### Check Price
```bash
~/clawd/skills/bankr/scripts/bankr.sh "What's the price of TOKEN on Base?"
```
## Trade Journal
Log every trade to `data/trades.json`:
```json
{
"timestamp": "2026-01-28T12:00:00Z",
"action": "BUY",
"token": "TOKEN",
"amount_usd": 25,
"price": 0.001,
"reason": "Launch snipe - verified contract, good liquidity",
"tx": "0x..."
}
```
After each trade, update the journal. Review weekly for pattern analysis.
## Daily Routine
### Morning (9 AM)
1. Check portfolio balance
2. Review overnight price action
3. Identify opportunities
4. Set limit orders for the day
### Midday (1 PM)
1. Check open positions
2. Adjust stop losses if in profit
3. Take profits if targets hit
### Evening (6 PM)
1. Close any day trades
2. Log all trades to journal
3. Calculate daily PnL
4. Review what worked/didn't
## Red Flags (DO NOT TRADE)
- Honeypot (can't sell)
- Liquidity < $5k
- Unverified contract
- Team anonymous with no track record
- Promises of guaranteed returns
- Excessive tax (>10%)
- Locked liquidity < 30 days
- Price already 10x+ from launch
## Performance Tracking
Track in `data/performance.json`:
```json
{
"start_date": "2026-01-28",
"starting_balance_usd": 100,
"current_balance_usd": 100,
"total_trades": 0,
"winning_trades": 0,
"losing_trades": 0,
"win_rate": 0,
"total_pnl_usd": 0,
"best_trade": null,
"worst_trade": null
}
```
## Safety Overrides
If ANY of these occur, STOP ALL TRADING:
1. Daily loss > 20%
2. 3 consecutive losing trades
3. Portfolio down > 30% from ATH
4. Unexpected error in execution
5. Market-wide crash (ETH -20% in 24h)
Wait 24 hours, reassess, then resume with smaller size.
## Autonomous Trading Mode
When running autonomously (via cron or heartbeat):
### Morning Scan (9 AM)
1. Check portfolio balance
2. Review overnight price action on holdings
3. Scan for new opportunities
4. Set limit orders for the day
### Midday Check (1 PM)
1. Monitor open positions
2. Adjust trailing stops on winners
3. Take profits if targets hit
4. Log any executed trades
### Evening Review (6 PM)
1. Close day trades if any
2. Calculate daily PnL
3. Update performance.json
4. Generate summary for user
### Execution Commands
```bash
# Morning
~/clawd/skills/bankr/scripts/bankr.sh "Show my portfolio on Base"
~/clawd/skills/bankr/scripts/bankr.sh "What tokens are trending on Base?"
# Execute trade
~/clawd/skills/bankr/scripts/bankr.sh "Buy $25 of TOKEN on Base"
# Set protection
~/clawd/skills/bankr/scripts/bankr.sh "Set stop loss for TOKEN at -15%"
# Take profit
~/clawd/skills/bankr/scripts/bankr.sh "Sell 25% of my TOKEN on Base"
```
## References
### Core Trading
- [references/strategies.md](references/strategies.md) - Detailed strategy breakdowns
- [references/token-analysis.md](references/token-analysis.md) - How to analyze tokens
- [references/risk-management.md](references/risk-management.md) - Position sizing formulas
### Market & Research
- [references/market-analysis.md](references/market-analysis.md) - Reading market conditions
- [references/market-research-bankr.md](references/market-research-bankr.md) - Bankr research commands
### Execution
- [references/execution.md](references/execution.md) - Order types and execution
- [references/automation-strategies.md](references/automation-strategies.md) - Automated trading setups
- [references/launch-sniping.md](references/launch-sniping.md) - New token launch guide
### Advanced
- [references/leverage-guide.md](references/leverage-guide.md) - Leveraged trading (high risk)
---
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