GitHub Trading-Bot: Arbitrage Smart Contract with Python Automation

A trending GitHub repo shows an arbitrage bot combining a smart contract with an external Python automation script for hands-free trading execution.

GitHub Trading-Bot: Arbitrage Smart Contract with Python Automation

Overview of the Trading Bot

The repository

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appeared on GitHub Trending with a Solidity smart contract for arbitrage between liquidity pools and routers, paired with an external Python automation script. The contract holds ETH and tokens on its own balance and exposes functions for execution, whitelisting, and withdrawals. Only the contract owner can alter settings or move funds. The Python component handles repeated calls to executeArbitrage() without manual intervention after initial setup.

Contract Functions and Architecture

The contract runs on Solidity 0.8.20 and centers on a single transaction flow inside executeArbitrage(). That function scans configured routers and pools for price differences, then performs the swaps in one atomic call. Two helper swap methods, quickSwap() and quickSwapFromBalance(), bypass the full arbitrage logic when a direct token exchange from the contract balance is needed.

Access control uses an owner address set at deployment. Functions such as setRouterAllowed(), setTokenAllowed(), setDefaultFee(), and setDefaultTokenOut() maintain whitelists and default parameters. Limits are enforced through setMinQuickSwapAmount() and setMaxQuickSwapAmount(). An emergency setPaused() flag halts all operations. View functions return balances, owner address, and target values without state changes.

The architecture stores no external state beyond approvals and configuration mappings. Token approvals are managed explicitly, and revokeApproval() allows cleanup. Withdrawals occur only through withdraw() and withdrawETH(), restricted to the owner.

Deployment and Python Automation

Deployment starts with the Etherlab online IDE. A new .sol file receives the contract source, followed by compilation under version 0.8.20. After wallet connection, the contract deploys and receives 0.5โ€“1 ETH to cover initial gas and swap amounts.

The Python automation script connects to the deployed address and polls for opportunities on a fixed interval. It calls executeArbitrage() when conditions match the configured fee and token-out settings. The script also exposes utility calls for balance checks and emergency pauses. Because the contract enforces its own limits, the script does not need to implement safety checks beyond transaction monitoring and gas estimation.

Trade-offs appear in the single-owner model: configuration changes require a single private key, which simplifies operations but concentrates control. Atomic execution reduces front-running risk compared with multi-transaction approaches, yet the contract still depends on accurate router and pool addresses supplied at configuration time.

Trade-offs for Production Use

Running the bot on mainnet requires ongoing monitoring of gas prices and pool liquidity. The Python layer can be extended with logging or alert hooks, but the contract itself provides no on-chain event filtering beyond standard ERC-20 events. Developers integrating similar patterns should test the quickSwapFromBalance() path separately, as it skips the arbitrage search logic entirely.

The repository supplies no test suite in the visible files, so verification of the swap math and access modifiers falls to the deployer. Withdraw functions transfer the entire requested amount, leaving no partial-claim mechanism.

FAQs

Does the contract require constant on-chain calls? No. The Python automation script issues executeArbitrage() at chosen intervals; the contract itself contains no scheduled execution logic.

Can multiple routers be used simultaneously? Yes. setRouterAllowed() adds any number of router addresses to the whitelist before arbitrage attempts begin.

What happens if the contract is paused? All state-changing functions except setPaused() revert until the owner clears the pause flag.

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