k99 EXCHANGEMarketsTradePortfolioWalletQuant Studio
📊 Quant StudioWORKSPACE
📈 strategies
📉 indicators
🔬 backtest
🔔 alerts
MY STRATEGIES
BTC Momentumactive
+45.2%
Mean Reversion ETHpaper
+28.5%
Forex Carry Tradebacktest
+12.8%
# k99 Quant Studio - Strategy Template
# Language: Python (Sandboxed)

from k99_sdk import Strategy, Indicator, Order

class MyStrategy(Strategy):
    """
    Simple Moving Average Crossover Strategy
    """
    
    def __init__(self):
        self.fast_period = 20
        self.slow_period = 50
        self.position_size = 0.1  # 10% of portfolio
        
    def on_bar(self, bar):
        # Calculate indicators
        fast_ma = Indicator.SMA(bar.close, self.fast_period)
        slow_ma = Indicator.SMA(bar.close, self.slow_period)
        
        # Entry Logic
        if fast_ma > slow_ma and not self.has_position():
            self.buy(
                symbol=bar.symbol,
                quantity=self.position_size,
                order_type="MARKET"
            )
            
        # Exit Logic
        elif fast_ma < slow_ma and self.has_position():
            self.sell(
                symbol=bar.symbol,
                quantity=self.position_size,
                order_type="MARKET"
            )
            
    def on_fill(self, fill):
        self.log(f"Order filled: {fill.symbol} @ {fill.price}")

# Register strategy
strategy = MyStrategy()
Results🔬
Run a backtest to see results
Live IndicatorsRSI(14)62.5
MACD125.4
Bollinger BandsUpper
Volume ProfileHigh