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go-trader Crypto Trading Bot in Go

source post: GitHub - richkuo/go-trader: Crypto trading bot — backtesting, paper trading, live trading with risk management

otherstrong
Original post

GitHub - richkuo/go-trader: Crypto trading bot — backtesting, paper trading, live trading with risk management

Source: other · unknown Saved: 2026-06-23 Tags: other Display: go-trader Crypto Trading Bot in Go — Go-based crypto trading bot supporting backtesting, paper trading, and live trading with built-in risk management.

TL;DR

go-trader is a cryptocurrency trading bot written in Go that supports backtesting, paper trading, and live trading with built-in risk management features. It provides a unified framework for developing and testing crypto trading strategies — allowing traders to validate strategies historically before risking real capital, and then deploy them live with risk controls.

What the post showed

Caption: Crypto trading bot — backtesting, paper trading, live trading with risk management - richkuo/go-trader

Key claims from transcript:

  • (no transcript available)

What it actually is

  • What: go-trader is a cryptocurrency trading bot written in Go that supports backtesting, paper trading, and live trading with built-in risk management features.
  • Who built it / maintained by: richkuo (individual developer on GitHub)
  • Status: stable
  • Why it matters: It provides a unified framework for developing and testing crypto trading strategies — allowing traders to validate strategies historically before risking real capital, and then deploy them live with risk controls.
  • How it compares to alternatives:
  • freqtrade
  • Jesse
  • Hummingbot
  • Backtrader
  • Catalyst
  • GitHub stars: 321 · License: MIT · Archived: no

Links

Kickstarter guide

Clone the repository with git clone https://github.com/richkuo/go-trader. Review the README for configuration requirements and exchange API key setup. Start by running a backtest against historical data before moving to paper trading mode to validate your strategy without risk. Once satisfied, configure live trading with appropriate risk management parameters.