The challenge
Grid bots can quietly accumulate stale positions in a falling market. The trader wanted to change exit rules with confidence, which meant replaying history before touching live funds.
Case study
Trading & investing
Web dashboard & server
Crypto Grid Trading Bot with Backtesting Dashboard
Grid orders, risk controls and backtests before real money
A crypto grid trading bot with exchange connections, grid order management and a dashboard for open orders, trade history and daily profit, plus a backtesting engine to test rule changes on historical candles first.
- Laravel
- PHP
- SQLite / MySQL
- Exchange REST API
- Chart dashboards
What we built
We built a Laravel bot that syncs candles, places and tracks grid orders, and exposes a dashboard with summary, open orders, trade history, daily summaries and metric history, with manual force-close per order, per symbol or for everything. New rules, such as using part of the last seven days' profit to close stale losing trades, are specified and run in backtests first.
Key features
What the product does.
- Exchange connections and candle sync
- Grid order placement and tracking
- Dashboard: summary, open orders, trade history, daily and metric history
- Force close by order, by symbol or all positions
- Backtesting on historical candles with rule specs
Under the hood
Architecture and engineering highlights.
- 1 Backtest-only phase for new rules before they reach live trading
- 2 Clear, written rule specs with formulas and priority order
Product screens
A look at the main workflows.
Illustrations of the main screens. Client data and branding are left out.
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Bot dashboard
Open orders, realised profit and daily summary.
Services for projects like this
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