[ N_t = \frac0.02 \cdot \textEquity\textATR 10 \cdot \sqrt\textVaR 95% ]
class QuantX: def __init__(self, capital, lookback=60): self.capital = capital self.lookback = lookback def regime(self, df): aroon_up = (df['high'].rolling(25).apply(lambda x: x.argmax()) / 25) * 100 if aroon_up.iloc[-1] > 70: return 'trend' elif aroon_up.iloc[-1] < 30: return 'revert' else: return 'neutral' strategy quant x
StrategyQuant X (SQX) is an automated algorithmic trading platform designed to generate, test, and research trading strategies without requiring any programming knowledge. It uses machine learning and genetic programming to evolve thousands of potential strategies based on historical data and user-defined criteria. 🛠️ Key Features of StrategyQuant X [ N_t = \frac0
So, what sets Strategy Quant X apart from other trading platforms? Here are some of its key features: Here are some of its key features: A
A visual, point-and-click editor for traders who already have a specific strategy idea and want to build it manually without programming.
