simulating-flash-loans

What this skill does

# Simulating Flash Loans

## Contents

[Overview](#overview) | [Prerequisites](#prerequisites) | [Instructions](#instructions) | [Output](#output) | [Error Handling](#error-handling) | [Examples](#examples) | [Resources](#resources)

## Overview

Simulate flash loan strategies across Aave V3, dYdX, and Balancer with profitability calculations, gas cost estimation, and risk assessment. Evaluate flash loan opportunities without executing real transactions.

## Prerequisites

1. Install Python 3.9+ with `web3`, `httpx`, and `rich` packages
2. Configure RPC endpoint access (free public RPCs via https://chainlist.org work fine)
3. Optionally add Etherscan API key for better gas estimates
4. Set RPC in `${CLAUDE_SKILL_DIR}/config/settings.yaml` or use `ETH_RPC_URL` env var

## Instructions

1. Simulate a two-DEX arbitrage with automatic fee and gas calculation:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 \
     --dex-buy uniswap --dex-sell sushiswap
   ```

2. Compare flash loan providers to find the cheapest for your strategy:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 --compare-providers
   ```

3. Analyze liquidation profitability on lending protocols:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py liquidation \
     --protocol aave --health-factor 0.95
   ```

4. Simulate triangular arbitrage with multi-hop circular paths:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py triangular \
     ETH USDC WBTC ETH --amount 50
   ```

5. Add risk assessment (MEV competition, execution, protocol, liquidity) to any simulation:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 --risk-analysis
   ```

6. Run full analysis combining all features:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 \
     --full --output json > simulation.json
   ```

## Output

- **Quick Mode**: Net profit/loss, provider recommendation, Go/No-Go verdict
- **Breakdown Mode**: Step-by-step transaction flow with individual cost components
- **Comparison Mode**: All providers ranked by net profit with fee differences
- **Risk Analysis**: Competition, execution, protocol, and liquidity scores (0-100) with viability grade (A-F)

See `${CLAUDE_SKILL_DIR}/references/implementation.md` for detailed output examples and risk scoring methodology.

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| RPC Rate Limit | Too many requests | Switch to backup endpoint or wait |
| Stale Prices | Data older than 30s | Auto-refreshes with warning |
| No Profitable Route | All routes lose after costs | Try different pairs or amounts |
| Insufficient Liquidity | Trade exceeds pool depth | Reduce amount or split across pools |

See `${CLAUDE_SKILL_DIR}/references/errors.md` for comprehensive error handling.

## Examples

**Basic arbitrage simulation:**

```bash
python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 \
  --dex-buy uniswap --dex-sell sushiswap
```

**Find cheapest provider:**

```bash
python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 --compare-providers
```

**Liquidation opportunity scan:**

```bash
python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py liquidation --protocol aave --health-factor 0.95
```

See `${CLAUDE_SKILL_DIR}/references/examples.md` for multi-provider comparison and backtesting examples.

## Resources

- `${CLAUDE_SKILL_DIR}/references/implementation.md` - Provider comparison, strategy details, risk scoring, output modes
- [Aave V3 Flash Loans](https://docs.aave.com/developers/guides/flash-loans)
- dYdX Flash Loans
- Balancer Flash Loans
- [Flashbots Protect](https://docs.flashbots.net/flashbots-protect/overview)