maxxit-lazy-trading

# Maxxit Lazy Trading

Execute perpetual futures trades on Ostium, Aster DEX, and Avantis DEX through Maxxit's Lazy Trading API. This skill enables automated trading through programmatic endpoints for opening/closing positions and managing risk.

## Built-in Strategy Scripts

The skill includes standalone Python strategy scripts. Use them when the user wants the agent to run a predefined trading system instead of manually specifying each trade.

- `ema-strategy.py`
  - Trend-following EMA crossover on Binance klines using close prices.
- `rsi-bollinger-strategy.py`
  - Mean-reversion system that waits for price to pierce a Bollinger Band and re-enter with RSI confirmation.
- `donchian-adx-strategy.py`
  - Breakout system that trades Donchian channel breaks only when ADX confirms a strong trend regime.
- `taker-strategy.py` - Aggressive Taker (Order Flow) HFT strategy. Analyzes Binance taker buy/sell ratios to detect aggressive market participants and catch rapid momentum shifts.
- `mean-reversion-strategy.py` - RSI + Bollinger Band mean-reversion strategy. A technical approach using price exhaustion points optimized for high-frequency scalping in sideways or boring markets.
- `breakout-strategy.py` - Volatility breakout strategy with ATR filter. Enters trades when price breaks out of a standard deviation channel while ATR confirms increasing volatility and momentum.
- `vwap-strategy.py` - VWAP crossover institutional momentum strategy. Uses volume-weighted average price and EMA to confirm institutional trend alignment and confirm trade strength with volume.

All scripts:
- read Binance kline data directly from `https://api.binance.com/api/v3/klines`
- use `MAXXIT_API_URL` and `MAXXIT_API_KEY`
- execute through Maxxit programmatic trading endpoints
- maintain per-symbol, per-venue state in the OpenClaw workspace

Example invocations:

```bash
python3 ema-strategy.py --symbol BTCUSDT --interval 5m --venue avantis
python3 rsi-bollinger-strategy.py --symbol ETHUSDT --in...

# Maxxit Lazy Trading Skill

Execute perpetual futures trades on Ostium, Aster, and Avantis through Maxxit's Lazy Trading API.

## Installation

### Via ClawHub CLI
```bash
npx clawhub@latest install maxxit-lazy-trading
```

### Manual Installation
Copy the `maxxit-lazy-trading` folder to:
- Global: `~/.openclaw/skills/`
- Workspace: `<project>/skills/`

## Configuration

Set these environment variables:

```bash
export MAXXIT_API_KEY="lt_your_api_key_here"
export MAXXIT_API_URL="https://maxxit.ai"
```

## Quick Start

1. **Get an API Key**: 
   - Visit [maxxit.ai/lazy-trading](https://maxxit.ai/lazy-trading)
   - Connect your wallet
   - Complete the setup wizard
   - Generate an API key from your [dashboard](https://www.maxxit.ai/dashboard)

2. **Configure**: Set environment variables

3. **Use**: Ask your assistant to send trading signals!

## Example Usage

```
"Send a trading signal: Long ETH 5x leverage at 3200"

"Check my lazy trading account status"

"Execute a short on BTC with 10x leverage, TP 60000, SL 68000"
```

## Supported Venues

- **Ostium** - Perpetual futures on Arbitrum
- **Aster DEX** - Perpetual futures on BNB Chain (testnet setup in Maxxit)
- **Avantis DEX** - Perpetual futures on Base mainnet
- **Alpha Marketplace** - Trustless ZK-verified trading signals (Arbitrum Sepolia testnet)

## Built-in Strategy Scripts

The skill includes standalone Python strategy scripts. Use them when the user wants the agent to run a predefined trading system.

- `ema-strategy.py` - EMA crossover trend-following strategy
- `rsi-bollinger-strategy.py` - RSI + Bollinger Band mean reversion strategy
- `donchian-adx-strategy.py` - Donchian breakout with ADX trend filter
- `taker-strategy.py` - Aggressive Taker (Order Flow) HFT strategy. Analyzes Binance taker buy/sell ratios to detect aggressive market participants and catch rapid momentum shifts.
- `mean-reversion-strategy.py` - RSI + Bollinger Band mean-reversion strategy. A technical approach using price exhaustio...