Code-Based Strategies

For advanced users, Quantum Trader supports custom Python strategies with full control over trading logic.

Strategy Structure

from quantum_trader import Strategy, Indicator

class MyStrategy(Strategy):
    """Custom trading strategy."""

    def __init__(self):
        super().__init__()
        self.name = "My Custom Strategy"

    def initialize(self):
        """Set up indicators and parameters."""
        self.sma_fast = Indicator.SMA(period=20)
        self.sma_slow = Indicator.SMA(period=50)

    def on_bar(self, bar):
        """Called for each price bar."""
        if self.sma_fast.value > self.sma_slow.value:
            if not self.position:
                self.buy()
        else:
            if self.position:
                self.sell()

Available Methods

Position Management

Method	Description
self.buy(size=1.0)	Open long position
self.sell()	Close current position
self.position	Current position (None if flat)

Data Access

Property	Description
bar.open	Opening price
bar.high	High price
bar.low	Low price
bar.close	Closing price
bar.volume	Trading volume
bar.time	Bar timestamp

Indicators

# Moving Averages
self.sma = Indicator.SMA(period=20)
self.ema = Indicator.EMA(period=20)

# Momentum
self.rsi = Indicator.RSI(period=14)
self.macd = Indicator.MACD(fast=12, slow=26, signal=9)

# Volatility
self.bb = Indicator.BollingerBands(period=20, std=2)
self.atr = Indicator.ATR(period=14)

Example: Dual Moving Average

class DualMA(Strategy):
    def __init__(self, fast_period=10, slow_period=30):
        super().__init__()
        self.fast_period = fast_period
        self.slow_period = slow_period

    def initialize(self):
        self.fast_ma = Indicator.EMA(period=self.fast_period)
        self.slow_ma = Indicator.EMA(period=self.slow_period)

    def on_bar(self, bar):
        if self.fast_ma.value > self.slow_ma.value:
            if not self.position:
                self.buy()
        elif self.fast_ma.value < self.slow_ma.value:
            if self.position:
                self.sell()

Tip

Use __init__ parameters to make your strategy configurable for optimization.

Uploading Custom Strategies

1. Write your strategy in a .py file
2. Go to Strategies > Upload
3. Select your file
4. The strategy will be validated and saved

Next Steps

• Optimization - Optimize strategy parameters
• API Examples - Run strategies via API