K线形态识别 (Candlestick Pattern Recognition)

# 获取K线数据
records = exchange.GetRecords()
opens = [r['Open'] for r in records]
highs = [r['High'] for r in records]
lows = [r['Low'] for r in records]
closes = [r['Close'] for r in records]

# 检测锤子线
hammer = TA.CDLHAMMER(opens, highs, lows, closes)
if hammer[-1] == 100:
    Log("检测到看涨锤子线")

# 检测早晨之星
morning_star = TA.CDLMORNINGSTAR(opens, highs, lows, closes, penetration=0.3)
if morning_star[-1] == 100:
    Log("早晨之星，强烈看涨信号")

pip install TA-Lib

# 趋势判断
sma50 = TA.SMA(closes, 50)
sma200 = TA.SMA(closes, 200)

# 只在上升趋势中使用看涨形态
if sma50[-1] > sma200[-1]:
    hammer = TA.CDLHAMMER(opens, highs, lows, closes)
    if hammer[-1] == 100:
        Log("上升趋势 + 锤子线 = 买入")

# 检测多个看涨形态
hammer = TA.CDLHAMMER(opens, highs, lows, closes)
morning_star = TA.CDLMORNINGSTAR(opens, highs, lows, closes)
engulfing = TA.CDLENGULFING(opens, highs, lows, closes)

bullish_count = 0
if hammer[-1] == 100: bullish_count += 1
if morning_star[-1] == 100: bullish_count += 2  # 权重更高
if engulfing[-1] == 100: bullish_count += 1

if bullish_count >= 2:
    Log("多个看涨形态，强烈买入信号")

volumes = [r['Volume'] for r in records]
vol_sma = TA.SMA(volumes, 20)

# 形态 + 成交量放大
hammer = TA.CDLHAMMER(opens, highs, lows, closes)
if hammer[-1] == 100 and volumes[-1] > vol_sma[-1] * 1.5:
    Log("锤子线 + 成交量放大 = 强烈买入")

def pattern_trading_system():
    """完整的形态交易系统"""
    records = exchange.GetRecords()
    if len(records) < 100:
        return
    
    opens = [r['Open'] for r in records]
    highs = [r['High'] for r in records]
    lows = [r['Low'] for r in records]
    closes = [r['Close'] for r in records]
    
    # 1. 趋势判断
    sma50 = TA.SMA(closes, 50)
    sma200 = TA.SMA(closes, 200)
    trend = 'UP' if sma50[-1] > sma200[-1] else 'DOWN'
    
    # 2. 形态识别
    hammer = TA.CDLHAMMER(opens, highs, lows, closes)
    morning = TA.CDLMORNINGSTAR(opens, highs, lows, closes)
    
    # 3. 综合判断
    if trend == 'UP' and (hammer[-1] == 100 or morning[-1] == 100):
        Log("符合买入条件")
        stop_loss = min(lows[-3:]) * 0.98
        return 'BUY', stop_loss
    
    return 'HOLD', None