Kaya
Python Developer for Token Monitoring Script
Kaya, California, Missouri, United States, 65018
Looking for a Python Developer for Etherscan API and Web3 Integration to Monitor Token TransactionsDescription:I am seeking an experienced Python Developer who is proficient with the Etherscan API, Web3, and blockchain development to create a script for monitoring token transactions and liquidity pools.Project Goals:Transaction Monitoring:
Retrieve and monitor specific transactions using the Etherscan API, especially transactions involving the addition of ETH and tokens to a liquidity pool (LP).Token Distribution Tracking:
Monitor the distribution of tokens across multiple wallets and identify large holders or early buyers, including bots.Liquidity Pool Monitoring:
Extract data from transaction receipts to detect the creation of liquidity pools and identify liquidity pair addresses.Analyze Initial Trades:
Track transactions in the blocks following the liquidity pool creation to identify wallets that made early trades (e.g., sniper bots or early traders).Price and Market Monitoring:
Integrate with APIs such as CoinGecko, Dextools, or Dexscreener to monitor market capitalization and price trends.Technical Requirements:Proficiency in Python and experience with Web3.py.Familiarity with the Etherscan API and Infura for interacting with the Ethereum blockchain.Knowledge of smart contracts and analyzing transaction logs.Ability to analyze wallets and transactions (e.g., identifying large token holders or early buyers).(Optional)
Experience with APIs like CoinGecko or Dextools for price and market data integration.Clean, well-documented code that is easy to understand and extend.Regular communication on progress and clear deadlines.Assistance with setup and testing on my end.Example:Dev Transaction added: 1 ETH + 77% tokens to LPContract Address (CA): 0x7c410E5B718e64b04a10b19D7836E9C3Ab135996Bundled 51.51% tokens with 46 wallets for 1.98 ETHThis project will be delivered in (Days).Describe your proposal (minimum 100 characters).
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Retrieve and monitor specific transactions using the Etherscan API, especially transactions involving the addition of ETH and tokens to a liquidity pool (LP).Token Distribution Tracking:
Monitor the distribution of tokens across multiple wallets and identify large holders or early buyers, including bots.Liquidity Pool Monitoring:
Extract data from transaction receipts to detect the creation of liquidity pools and identify liquidity pair addresses.Analyze Initial Trades:
Track transactions in the blocks following the liquidity pool creation to identify wallets that made early trades (e.g., sniper bots or early traders).Price and Market Monitoring:
Integrate with APIs such as CoinGecko, Dextools, or Dexscreener to monitor market capitalization and price trends.Technical Requirements:Proficiency in Python and experience with Web3.py.Familiarity with the Etherscan API and Infura for interacting with the Ethereum blockchain.Knowledge of smart contracts and analyzing transaction logs.Ability to analyze wallets and transactions (e.g., identifying large token holders or early buyers).(Optional)
Experience with APIs like CoinGecko or Dextools for price and market data integration.Clean, well-documented code that is easy to understand and extend.Regular communication on progress and clear deadlines.Assistance with setup and testing on my end.Example:Dev Transaction added: 1 ETH + 77% tokens to LPContract Address (CA): 0x7c410E5B718e64b04a10b19D7836E9C3Ab135996Bundled 51.51% tokens with 46 wallets for 1.98 ETHThis project will be delivered in (Days).Describe your proposal (minimum 100 characters).
#J-18808-Ljbffr