Trading DevBox

Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results.

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Last updated: April 29, 2026

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Top 50%

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2,637+

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

View Installation Instructions

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Trading DevBox

Help users develop and backtest trading strategies from natural language descriptions.

When to Use

User describes a trading idea or intent (e.g. "SOL 跌 10% 买入，涨 30% 止盈")
User asks to write, backtest, or optimize a trading strategy
User mentions keywords: 策略, 回测, backtest, strategy, trading

Workflow

Parse the user's trading intent into structured parameters:
- Asset (e.g. SOL, BTC, ETH)
- Entry condition (e.g. price drops 10%)
- Exit condition (e.g. take profit at 30%, stop loss at 5%)
- Timeframe (e.g. 1h, 4h, 1d)
Confirm the parsed parameters with the user before proceeding.
Generate a Python backtest strategy using backtrader:

mkdir -p /tmp/trading-devbox && cat > /tmp/trading-devbox/strategy.py << 'PYEOF'
import backtrader as bt
import sys
import json
class UserStrategy(bt.Strategy):
params = dict(
entry_drop_pct=10,
take_profit_pct=30,
stop_loss_pct=5,
)
def __init__(self):
    self.order = None
    self.buy_price = None

def next(self):
    if self.order:
        return
    if not self.position:
        # entry: price dropped by entry_drop_pct from recent high
        high = max(self.data.close.get(size=20) or [self.data.close[0]])
        drop = (high - self.data.close[0]) / high * 100
        if drop &gt;= self.p.entry_drop_pct:
            self.order = self.buy()
            self.buy_price = self.data.close[0]
    else:
        pnl = (self.data.close[0] - self.buy_price) / self.buy_price * 100
        if pnl &gt;= self.p.take_profit_pct or pnl &lt;= -self.p.stop_loss_pct:
            self.order = self.sell()

if name == 'main':
print(json.dumps({"status": "ok", "message": "Strategy generated"}))
PYEOF
python3 /tmp/trading-devbox/strategy.py

Report the result to the user in a clear format.

Response Format

Always respond in the user's language. Structure the response as:

Parsed intent summary
Strategy parameters
Execution result or next steps

Trading DevBox

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Trading DevBox

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Workflow

Response Format

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