Key Features
DeFi Trading Bot offers a comprehensive suite of features tailored to the DeFi ecosystem, each designed to enhance performance, security, and usability.
Token Launch Sniping & Fair Launch Tracking
Functionality: Monitors DEXs (e.g., Uniswap, PancakeSwap) and launchpads (e.g., DXSale) for new token listings, executing low-slippage trades. Prioritizes high-potential launches using DAO governance signals.
Integrates with audited contracts and filters launches by community sentiment, reducing exposure to scams. Users can verify sniping logic in open-source code. Example code
import asyncio
from web3 import Web3
from .utils.logger import logger
async def snipe_uniswap_token(factory_address: str, token0: str, token1: str, amount: float = 0.1):
try:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
factory_abi = [...] # Uniswap V3 Factory ABI
factory = w3.eth.contract(address=factory_address, abi=factory_abi)
pair_address = factory.functions.getPool(token0, token1, 3000).call()
swap_tx = {
"to": "0xE592427A0AEce92De3Edee1F18E0157C05861564", # Uniswap V3 Router
"data": "0x... # Encoded swap call",
"value": w3.to_wei(amount, "ether")
}
tx_hash = await w3.eth.send_raw_transaction(swap_tx)
logger.info(f"Sniped Uniswap pair {token0}/{token1}: {tx_hash.hex()}")
return tx_hash
except Exception as e:
logger.error(f"Error sniping Uniswap token: {e}")
return None
if platform.system() == "Emscripten":
asyncio.ensure_future(snipe_uniswap_token("0x1F98431c8aD98523631AE4a59f267346ea31F984", "0x...", "0x...", 0.1))
Automated Liquidity Provision
Functionality: Manages liquidity on AMMs like Curve, Balancer, and Uniswap Vcentrum liquidity, and rebalancing thresholds. Tracks impermanent loss (IL) and suggests exit strategies.
Simulates outcomes using historical data before committing funds, ensuring informed decisions. Transparent IL calculations are accessible in the codebase.
Example code
import asyncio
from web3 import Web3
from .utils.logger import logger
async def add_curve_liquidity(pool_address: str, amounts: list, min_mint_amount: int):
try:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
pool_abi = [...] # Curve StableSwap ABI
pool = w3.eth.contract(address=pool_address, abi=pool_abi)
tx = pool.functions.add_liquidity(amounts, min_mint_amount).build_transaction({
"from": w3.eth.default_account,
"gas": 200000,
"nonce": await w3.eth.get_transaction_count(w3.eth.default_account)
})
tx_hash = await w3.eth.send_raw_transaction(tx)
logger.info(f"Added liquidity to Curve pool {pool_address}: {tx_hash.hex()}")
return tx_hash
except Exception as e:
logger.error(f"Error adding Curve liquidity: {e}")
return None
if platform.system() == "Emscripten":
asyncio.ensure_future(add_curve_liquidity("0x...", [1000, 1000], 1900))
Governance-Aware Trading
Functionality: Analyzes DAO proposals (e.g., Aave, Compound) and executes trades based on voting outcomes or community sentiment from Discord, Telegram, and X.
Relies on verified on-chain data and reputable social sources, with sentiment analysis logic openly documented.
Example code
import asyncio
import aiohttp
from .utils.logger import logger
async def trade_on_compound_governance(proposal_id: int, amount: float = 0.1):
try:
async with aiohttp.ClientSession() as session:
async with session.get(f"https://api.tally.xyz/proposal/{proposal_id}") as resp:
proposal = await resp.json()
if proposal["status"] == "passed" and "favorable" in proposal["description"]:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
comp_token = "0xc00e94Cb662C3520282E6f5717214004A7f26888"
swap_tx = {"to": comp_token, "value": w3.to_wei(amount, "ether")} # Simplified swap
tx_hash = await w3.eth.send_raw_transaction(swap_tx)
logger.info(f"Traded COMP on governance outcome: {tx_hash.hex()}")
return tx_hash
return None
except Exception as e:
logger.error(f"Error trading on Compound governance: {e}")
return None
if platform.system() == "Emscripten":
asyncio.ensure_future(trade_on_compound_governance(123, 0.1))
Instant On-Chain Trading
Functionality: Bypasses slow wallet interfaces (e.g., MetaMask) by interacting directly with blockchain nodes, supporting multi-chain trading with dynamic gas optimization.
Direct node interaction reduces phishing risks, and gas optimization logic is auditable, ensuring cost efficiency.
Example code
import asyncio
from web3 import Web3
from .utils.logger import logger
async def execute_instant_trade(chain_id: str, token_in: str, token_out: str, amount: float):
try:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
router_address = "0xE592427A0AEce92De3Edee1F18E0157C05861564" # Uniswap V3 Router
router_abi = [...] # Router ABI
router = w3.eth.contract(address=router_address, abi=router_abi)
tx = router.functions.exactInputSingle({
"tokenIn": token_in,
"tokenOut": token_out,
"amountIn": w3.to_wei(amount, "ether"),
"amountOutMinimum": 0
}).build_transaction({
"from": w3.eth.default_account,
"nonce": await w3.eth.get_transaction_count(w3.eth.default_account)
})
tx_hash = await w3.eth.send_raw_transaction(tx)
logger.info(f"Instant trade executed: {tx_hash.hex()}")
return tx_hash
except Exception as e:
logger.error(f"Error executing instant trade: {e}")
return None
if platform.system() == "Emscripten":
asyncio.ensure_future(execute_instant_trade("ethereum", "0x...", "0x...", 0.1))
Risk Mitigation & Scam Protection
Functionality: Detects rug pulls, developer dumps, and unaudited contracts using De.Fi and Certik APIs. Auto-sells assets if price drops exceed user-defined thresholds (e.g., 15%).
Integrates with trusted third-party audit databases, and risk detection algorithms are open for community scrutiny.
Example code
import asyncio
from web3 import Web3
from .utils.logger import logger
async def detect_rugpull(contract_address: str, min_liquidity: int = 1000):
try:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
pair_abi = [...] # Uniswap V3 Pair ABI
pair = w3.eth.contract(address=contract_address, abi=pair_abi)
reserves = pair.functions.getReserves().call()
liquidity = reserves[0] # Simplified
if liquidity < min_liquidity:
logger.warning(f"Rugpull detected for {contract_address}: Low liquidity")
return True
return False
except Exception as e:
logger.error(f"Error detecting rugpull: {e}")
return False
if platform.system() == "Emscripten":
asyncio.ensure_future(detect_rugpull("0x...", 1000))
Social Signal Monitoring
Functionality: Scans Telegram, Discord, and X for token mentions, filtering signals by source reputation and sentiment analysis to trigger trades.
Employs NLP to reduce noise from pump-and-dump schemes, with filtering logic transparent in the codebase.
Example code
import asyncio
import aiohttp
from .utils.logger import logger
async def monitor_x_signals(token_symbol: str, reputation_threshold: float = 0.8):
try:
async with aiohttp.ClientSession() as session:
async with session.get("https://api.x.com/posts", params={"query": token_symbol}) as resp:
posts = await resp.json()
for post in posts:
if post["author_reputation"] > reputation_threshold:
logger.info(f"Detected X signal for {token_symbol}: {post['content']}")
return True # Trigger trade (simplified)
return False
except Exception as e:
logger.error(f"Error monitoring X signals: {e}")
return False
if platform.system() == "Emscripten":
asyncio.ensure_future(monitor_x_signals("ETH", 0.8))
Advanced Order Types & Strategies
Functionality: Supports limit orders, trailing stop-loss, buy-the-dip, and portfolio rebalancing, with no-code and Python-based scripting options.
Strategy execution is fully auditable, and users can customize parameters to align with their risk tolerance.
Example code
import asyncio
from .integrations.chainlink_price_feed import ChainlinkPriceFeed
from .utils.logger import logger
async def execute_trailing_stop_loss(token_address: str, trailing_percent: float = 0.1):
try:
chainlink = ChainlinkPriceFeed()
peak_price = await chainlink.get_price(token_address)
while True:
current_price = await chainlink.get_price(token_address)
if current_price > peak_price:
peak_price = current_price
if current_price < peak_price * (1 - trailing_percent):
logger.info(f"Trailing stop-loss triggered for {token_address}")
return True # Sell token (simplified)
await asyncio.sleep(60)
return False
except Exception as e:
logger.error(f"Error in trailing stop-loss: {e}")
return False
if platform.system() == "Emscripten":
asyncio.ensure_future(execute_trailing_stop_loss("0x...", 0.1))
Multi-Network Compatibility
Functionality: Supports EVM chains (Ethereum, Polygon), non-EVM chains (Solana), and Layer-2s (EnginLayer) via user-configurable RPC endpoints.
Modular architecture ensures compatibility with emerging networks, with RPC configurations stored locally for security.
Example code
import asyncio
from solana.rpc.async_api import AsyncClient
from .utils.logger import logger
async def initialize_solana_client(rpc_url: str = "https://api.mainnet-beta.solana.com"):
try:
solana_client = AsyncClient(rpc_url)
if not await solana_client.is_connected():
raise ConnectionError("Failed to connect to Solana")
logger.info("Solana client initialized successfully")
return solana_client
except Exception as e:
logger.error(f"Error initializing Solana client: {e}")
return None
if platform.system() == "Emscripten":
asyncio.ensure_future(initialize_solana_client())
Security Features
Encrypted Private Keys: AES-256 encryption ensures keys remain secure on the user’s device.
from cryptography.fernet import Fernet
from .utils.logger import logger
def encrypt_private_key(private_key: str) -> bytes:
try:
fernet = Fernet(Fernet.generate_key())
encrypted_key = fernet.encrypt(private_key.encode())
logger.info("Private key encrypted successfully")
return encrypted_key
except Exception as e:
logger.error(f"Error encrypting private key: {e}")
return b""
if platform.system() == "Emscripten":
encrypted = encrypt_private_key("0x...")
Open-Source Code: Hosted on GitHub for verification and community contributions.
Direct Node Interaction: Avoids browser-based vulnerabilities, minimizing phishing risks.
import asyncio
from web3 import Web3
from .utils.logger import logger
async def subscribe_to_events(contract_address: str, event_name: str):
try:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
contract_abi = [...] # Contract ABI
contract = w3.eth.contract(address=contract_address, abi=contract_abi)
event_filter = contract.events[event_name].create_filter(fromBlock="latest")
while True:
events = await event_filter.get_new_entries()
for event in events:
logger.info(f"Event {event_name} detected: {event}")
await asyncio.sleep(1.0 / 60) # 60 FPS
except Exception as e:
logger.error(f"Error subscribing to events: {e}")
if platform.system() == "Emscripten":
asyncio.ensure_future(subscribe_to_events("0x...", "PairCreated"))
Anti-Bot Countermeasures: Randomizes transaction patterns to evade DEX restrictions, with logic openly documented.
import asyncio
import random
from web3 import Web3
from .utils.logger import logger
async def randomize_transaction(tx: dict) -> dict:
try:
w3 = Web3(Web3.WebsocketProvider("wss://eth-mainnet.alchemyapi.io/v2/..."))
gas_price = await w3.eth.gas_price
tx["gasPrice"] = int(gas_price * random.uniform(0.9, 1.1)) # ±10% variation
tx["nonce"] += random.randint(0, 2) # Small nonce offset
logger.info("Transaction randomized for anti-bot protection")
return tx
except Exception as e:
logger.error(f"Error randomizing transaction: {e}")
return tx
if platform.system() == "Emscripten":
asyncio.ensure_future(randomize_transaction({"gasPrice": 100, "nonce": 10}))
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