> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aiusd.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Strategies

> Ready-to-deploy trading strategies for AI agents.

## DCA Bot

Dollar-cost averaging strategy for long-term accumulation.

### Strategy

```
Every Monday at 10am:
- Buy $100 of BTC
- Buy $100 of ETH
- Stake any idle AIUSD
```

### Implementation

Tell your bot:

```
Set up weekly DCA:
- Every Monday at 10am
- Buy $100 BTC
- Buy $100 ETH
- Stake remaining AIUSD
```

### Expected Results

* Smooth out price volatility
* Build position over time
* Earn yield on idle capital

***

## Portfolio Rebalancer

Maintain target allocation automatically.

### Strategy

```
Every day at 9am:
- Check portfolio allocation
- If BTC > 60%: sell 10%
- If ETH < 30%: buy $500
- If SOL < 10%: buy $200
- Stake idle AIUSD
```

### Implementation

```
Set up daily rebalancing:
- Target: 50% BTC, 30% ETH, 20% SOL
- Check every day at 9am
- Rebalance if drift > 5%
- Stake idle funds
```

### Expected Results

* Maintain risk profile
* Auto take profits from winners
* Auto buy dips in losers

***

## Social Trading Bot

Copy trades from Twitter influencers.

### Strategy

```
Monitor @trader_alpha on Twitter
When they mention a token:
- Check if tradeable on Solana
- Buy $50 worth
- Set 10% stop loss
- Take profit at 20% gain
```

### Implementation

```
Monitor @trader_alpha with $500 budget:
- Buy $50 per signal
- Stop loss: -10%
- Take profit: +20%
- Max 10 concurrent positions
```

### Expected Results

* Capture alpha from experienced traders
* Automated execution (no manual work)
* Risk-managed with stop losses

***

## Arbitrage Bot

Exploit price differences across chains.

### Strategy

```
Monitor SOL price on:
- Solana DEXs (Jupiter)
- Base DEXs (Uniswap)

If price difference > 2%:
- Buy on cheaper chain
- Sell on expensive chain
- Account for gas fees
```

### Implementation

```
Set up arbitrage bot:
- Monitor SOL on Solana and Base
- Threshold: 2% price difference
- Trade size: $1000
- Account for gas and slippage
```

### Expected Results

* Capture arbitrage opportunities
* Low-risk profit
* Requires fast execution

***

## Yield Optimizer

Maximize staking returns automatically.

### Strategy

```
Every week:
- Check AIUSD staking APY
- Compare with other protocols
- If better yield available: migrate
- Compound rewards
```

### Implementation

```
Set up yield optimization:
- Check APY every week
- If AIUSD APY > 15%: stake all
- If AIUSD APY < 10%: look for alternatives
- Auto-compound rewards
```

### Expected Results

* Maximize passive income
* Auto-compound for growth
* Adapt to changing rates

***

## Momentum Trading Bot

Trade based on price momentum.

### Strategy

```
Monitor top 20 tokens by market cap
If token gains > 10% in 1 hour:
- Buy $100 worth
- Set stop loss at entry price
- Take profit at +15%
```

### Implementation

```
Set up momentum bot:
- Watch top 20 tokens
- Trigger: +10% in 1 hour
- Position size: $100
- Stop loss: 0%
- Take profit: +15%
```

### Expected Results

* Capture momentum moves
* Protected downside with stop loss
* Quick profits on volatile moves

***

## Mean Reversion Bot

Buy dips, sell rallies.

### Strategy

```
Monitor BTC and ETH prices
If BTC drops > 5% in 24h:
- Buy $500 worth
- Take profit at +5%

If BTC rallies > 5% in 24h:
- Sell 50% of position
```

### Implementation

```
Set up mean reversion:
- Watch BTC and ETH
- Buy trigger: -5% in 24h
- Sell trigger: +5% in 24h
- Position size: $500
```

### Expected Results

* Profit from volatility
* Buy low, sell high
* Works in ranging markets

***

## Grid Trading Bot

Profit from price oscillation.

### Strategy

```
Set up grid for ETH:
- Price range: $2500 - $3500
- Grid levels: 10
- Buy at each level going down
- Sell at each level going up
```

### Implementation

```
Set up grid trading:
- Asset: ETH
- Range: $2500 - $3500
- Levels: 10
- Capital: $5000
```

### Expected Results

* Profit from sideways movement
* No need to predict direction
* Works in ranging markets

***

## Risk Management Bot

Protect your portfolio automatically.

### Strategy

```
Monitor all open positions
If any position loses > 10%:
- Close position immediately
- Send alert

If total portfolio loses > 20%:
- Close all positions
- Move to stablecoins
```

### Implementation

```
Set up risk management:
- Per-position stop loss: -10%
- Portfolio stop loss: -20%
- Auto-close on trigger
- Send alerts
```

### Expected Results

* Limit downside risk
* Preserve capital
* Sleep better at night

***

## Tips for Bot Success

<AccordionGroup>
  <Accordion title="Start Small">
    Test strategies with small amounts first. Scale up after proving profitability.
  </Accordion>

  <Accordion title="Monitor Daily">
    Check bot performance daily. Adjust parameters based on market conditions.
  </Accordion>

  <Accordion title="Set Limits">
    Always set:

    * Maximum position size
    * Daily trade limit
    * Total portfolio exposure
  </Accordion>

  <Accordion title="Backtest First">
    Simulate strategy on historical data before going live.
  </Accordion>

  <Accordion title="Have Emergency Stop">
    Always have a way to stop your bot immediately:

    ```
    Stop all bots
    Close all positions
    ```
  </Accordion>
</AccordionGroup>

<Card title="Trading Guide" icon="chart-line" href="/trading">
  Learn all trading commands
</Card>