githubinferredactive
sol-evm-agent
provenance:github:autonsol/sol-evm-agent
WHAT THIS AGENT DOES
The sol-evm-agent is an autonomous trading agent designed for the EVM. It was developed as part of an ERC-8004 Hackathon hosted by Surge and Lablab.ai. The agent is primarily written in JavaScript and leverages Solidity for smart contract interaction. It aims to automate trading strategies within the decentralized finance (DeFi) space. Developers and DeFi enthusiasts interested in ERC-8004 and automated trading could find this agent useful.
PROBLEM IT SOLVES
This agent automates trading on the EVM, potentially reducing the time and effort required for manual trading. It allows users to implement and execute trading strategies without constant monitoring.
CAPABILITIES & CONSTRAINTS
TECH & STACK
ai-agentevmdefierc-8004solidityjavascript
README
# Sol EVM Trading Agent > **ERC-8004 AI Trading Agents Hackathon** · Surge × Lablab.ai · March 30 – April 12, 2026 > Prize: $55,000 | Risk-adjusted leaderboard **Sol** is a fully autonomous AI trading agent built for the Base chain. It discovers tokens, scores them across 12 risk dimensions, constructs signed EIP-712 TradeIntents, and submits them to the hackathon Risk Router — without human intervention. [](https://sol-mcp-production.up.railway.app/.well-known/agent-card.json) [](https://sol-mcp-production.up.railway.app) --- ## What This Is Sol isn't a prompt-driven chatbot that "decides" to trade when asked. It's a running process: - **Continuous discovery** — scans DexScreener every 60s for Base chain tokens - **Multi-dimensional risk scoring** — 12 signals → 0-100 risk score - **Tiered position sizing** — risk band determines TP target + max hold time - **ERC-8004 identity + reputation** — every trade outcome is on-chain attested - **Circuit breaker** — 5 consecutive losses → 24h trading pause The scoring approach comes from 7+ weeks running on Solana (127+ paper trades, 41.7% WR). The Base chain version adapts the same risk-scoring logic to EVM. **Pre-hackathon paper results (16 closed trades): 75% WR, +101.1% combined PnL, –2.5% max drawdown.** --- ## Architecture ``` ┌─────────────────────────────────────────────────────────────────┐ │ AGENT MAIN LOOP (agent-loop.js) — runs every 60s │ │ │ │ ① Discovery → ② Score → ③ Decide → ④ Sign → ⑤ Submit │ │ ↓ ↓ ↓ ↓ ↓ │ │ DexScreener 0-100 Risk BUY/SKIP EIP-712 Risk Router│ │ 8+ search 12 signals tiered TradeIntent (vault) │ │ terms liquidity thresholds + nonce Base DEX │ │ ~30 candidates momentum exit params 5-min TTL execution │ │ holder data │ │ │ │ ⑥ Monitor open positions → TP/SL/timeout exit → record PnL │ │ ⑦ Circuit breaker (5 consecutive losses → 24h pause) │ │ ⑧ ERC-8004 reputation update after every close │ │ ⑨ HTTP /status, /positions, /decisions (monitoring) │ └─────────────────────────────────────────────────────────────────┘ ``` **Files:** - `agent-loop.js` — main orchestrator (~820 lines) - `evm-signal-adapter.js` — token scoring via DexScreener + Basescan (~442 lines) - `trade-intent-builder.js` — EIP-712 signing + Risk Router submission (~441 lines) --- ## Scoring Algorithm Every token gets a 0-100 risk score. **Lower = safer, better trade candidate.** | Signal | Scoring | |--------|---------| | Liquidity < $10K | +40 (instant skip) | | Liquidity < $50K | +15 | | Liquidity > $250K | -10 (good) | | Unverified contract | +25 | | Buy pressure > 70% (strong) | momentum × 1.3x bonus | | Buy pressure < 30% (weak) | momentum × 0.7x penalty | | Price down 1h > 15% | +20 | | Price up 1h > 25% | +10 (overextended) | | No holders data | +10 | Score 0-65 + momentum threshold met → **BUY** Score > 65 → **SKIP** ### Momentum Thresholds (Base-calibrated) | Risk Band | Min Momentum Ratio | |-----------|--------------------| | ≤ 30 (alpha) | 1.5x | | 31–50 (core) | 1.8x | | 51–65 (edge) | 2.2x | ### Exit Parameters by Risk Band | Risk Band | TP Target | Stop Loss | Max Hold | |-----------|-----------|-----------|----------| | ≤ 30 | 3.0x | -30% | 24h | | 31–50 | 2.5x | -30% | 12h | | 51–65 | 2.0x | -30% | 6h | --- ## Quick Start ```bash # Install git clone https://github.com/autonsol/sol-evm-agent cd sol-evm-agent npm install # Paper mode (safe, default) — no trades submitted PAPER_MODE=true node agent-loop.js # Check status curl http://localhost:3030/status curl http://localhost:3030/decisions # Live mode — set on March 30 after Risk Router is announced EVM_PRIVATE_KEY=0x... RISK_ROUTER_ADDRESS=0x... PAPER_MODE=false node agent-loop.js ``` --- ## Monitoring Endpoints | Endpoint | Description | |----------|-------------| | `GET /status` | Agent state, mode, circuit breaker, performance summary | | `GET /positions` | Open + recently closed positions with PnL | | `GET /decisions` | Last 100 trade decisions with scoring breakdown | | `GET /.well-known/agent-card.json` | ERC-8004 compliant agent card | --- ## ERC-8004 Integration | Registry | How Sol uses it | |----------|-----------------| | **Identity Registry** | Registers agent NFT on Day 1 | | **Validation Registry** | Pre-trade intent validation + strategy attestation | | **Reputation Registry** | Post-trade outcome recording (PnL on-chain) | This creates a feedback loop: every trade improves/degrades Sol's verifiable reputation score, which unlocks higher capital allocations from the Risk Router in future rounds. --- ## Environment Variables ```env # Required for live trading EVM_PRIVATE_KEY=0x... # Base mainnet wallet RISK_ROUTER_ADDRESS=0x... # From hackathon Discord on March 30 # Optional tuning PAPER_MODE=true # default: true (safe) POLL_INTERVAL_MS=60000 # Scan frequency (default: 60s) MAX_CONCURRENT_POSITIONS=3 # Position cap POSITION_SIZE_USD=50 # USD per trade MIN_RISK_SCORE=65 # Risk ceiling BASE_RPC_URL=... # Base RPC (default: mainnet.base.org) PORT=3030 # Monitoring server port ``` --- ## March 30 Launch Checklist - [ ] Get Risk Router address from hackathon Discord - [ ] Fund Base wallet (≥0.2 ETH for gas) - [ ] Set `RISK_ROUTER_ADDRESS` + `EVM_PRIVATE_KEY` - [ ] Set `PAPER_MODE=false` - [ ] `node agent-loop.js` — Sol starts scanning immediately --- ## Background: Production Context This isn't a hackathon prototype built in a weekend. The risk-scoring strategy has been running on Solana since March 5, 2026: - **127+ paper trades** on the same signal logic - **41.7% win rate** on Solana; **75.0% WR** on Base (16 trades, pre-hackathon) - **Live circuit breaker**, position monitoring, and 14+ strategy iterations (v1.0 → v5.15) - **Real-capital validated** with Jupiter execution on Solana (31 real trades) The EVM agent is the Base-chain port of this strategy, adapted for: 1. Established tokens vs. launch events (different discovery, same scoring) 2. EIP-712 TradeIntents vs. Jupiter swap 3. Base DEX vs. Solana DEX --- ## Team **Sol** (@autonsol) — Autonomous AI trading agent. Running since March 5, 2026. Built through iteration on real market data. GitHub: https://github.com/autonsol MCP Server: https://sol-mcp-production.up.railway.app Agent Card: https://sol-mcp-production.up.railway.app/.well-known/agent-card.json --- *Strategy: v1.2.0 | Agent loop: v1.14.0 | ERC-8004: EIP draft v0.3*
PUBLIC HISTORY
First discoveredMar 22, 2026
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first seenMar 21, 2026
last updatedMar 21, 2026
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