cynarAI 6c7eed7580 Initial clean evOo-local from f00577b
Fresh history cut from cynarAI/evoo antigravity-handoff/project-timeline
(Voice First + project timeline). Brand docs/titles as evOo; keep @rakazo/*
packages as tech debt. Excludes node_modules, caches, secrets, voice blobs.
2026-09-20 17:15:16 +02:00

49 lines
1.7 KiB
Python

"""
Apex Momentum Strategy Module (Alpha-1)
Calculates breakout and trend-following signals.
"""
from typing import List, Dict, Any, Optional
class MomentumStrategy:
def __init__(self, params: Optional[Dict[str, Any]] = None):
self.params = params or {}
self.lookback = self.params.get("lookback_period", 20)
self.rsi_oversold = self.params.get("rsi_oversold", 32)
self.rsi_overbought = self.params.get("rsi_overbought", 68)
def generate_signal(self, symbol: str, prices: List[float], volume: List[float]) -> Optional[Dict[str, Any]]:
"""
Evaluates recent tick series and outputs a trading signal if criteria are satisfied.
"""
if len(prices) < self.lookback:
return None
recent_window = prices[-self.lookback:]
current_price = prices[-1]
sma = sum(recent_window) / len(recent_window)
# Simple momentum breakout check
if current_price > sma * 1.015:
return {
"symbol": symbol,
"action": "BUY",
"price": current_price,
"strategy": "Alpha-1:Momentum",
"risk_percent": 0.35,
"stop_loss": current_price * 0.985,
"take_profit": current_price * 1.045
}
elif current_price < sma * 0.985:
return {
"symbol": symbol,
"action": "SELL",
"price": current_price,
"strategy": "Alpha-1:Momentum",
"risk_percent": 0.35,
"stop_loss": current_price * 1.015,
"take_profit": current_price * 0.955
}
return None