Run Backtrader strategies live on Binance Cross-Margin with long and short execution, bar-close discipline, live charts, and source-code flexibility.
Backtrader strategy support Cross-margin long & short Bar-close discipline Live price & equity chartsDesigned to work with Backtrader-style strategies and a dedicated strategies/ folder, making it suitable for traders who already build or modify strategy classes.
Supports live cross-margin trading with borrow/repay flows, precision-aware sizing, and minimum notional checks.
Uses bar-close discipline and re-entry guards to keep live execution behavior closer to research assumptions.
Parameters are typically set in Python code or environment variables, giving advanced users more control over live execution.
Includes live charting for price action, trade markers, and equity tracking while the bot runs.
Best suited for users comfortable reviewing Python code, exchange settings, and live-trading risk controls before deployment.
Select a supported strategy class from strategies/ or adapt your own Backtrader strategy.
Configure API access, symbol, timing, and trading parameters in the codebase or via environment variables, depending on the edition you use.
The bot maps strategy signals to Binance Cross-Margin orders with long/short support and live charts.
live_bot.py for live execution with charting supportstrategies/ folder with multiple included strategiesYes, but some integration work may be required depending on how your strategy is structured and how signals are expected by the live bot.
Yes. It supports cross-margin short execution with borrow/repay handling, precision checks, and notional constraints.
It uses bar-close execution logic and same-bar re-entry protections to reduce behavior drift between backtests and live trading.
No. This product is best described as a source-code trading bot for users comfortable editing settings, reviewing code, and testing before going live.
Use small size first and test carefully before any live trading.