股票技术分析
常用技术指标
1. 移动平均线 (MA)
import pandas as pd
def calc_ma(df, period):
return df['close'].rolling(window=period).mean()
# 常用周期
MA5 = calc_ma(df, 5) # 短期均线
MA10 = calc_ma(df, 10) # 中期均线
MA20 = calc_ma(df, 20) # 长期均线
MA60 = calc_ma(df, 60) # 半年线
2. MACD
def calc_macd(df, fast=12, slow=26, signal=9):
ema12 = df['close'].ewm(span=fast).mean()
ema26 = df['close'].ewm(span=slow).mean()
diff = ema12 - ema26
dea = diff.ewm(span=signal).mean()
macd = (diff - dea) * 2
return diff, dea, macd
3. KDJ随机指标
def calc_kdj(df, n=9, m1=3, m2=3):
low_n = df['low'].rolling(window=n).min()
high_n = df['high'].rolling(window=n).max()
rsv = (df['close'] - low_n) / (high_n - low_n) * 100
k = rsv.ewm(com=m1-1).mean()
d = k.ewm(com=m2-1).mean()
j = 3 * k - 2 * d
return k, d, j
4. RSI相对强弱
def calc_rsi(df, period=14):
delta = df['close'].diff()
gain = (delta.where(delta > 0, 0)).rolling(window=period).mean()
loss = (-delta.where(delta < 0, 0)).rolling(window=period).mean()
rs = gain / loss
rsi = 100 - (100 / (1 + rs))
return rsi
5. 布林带 (BOLL)
def calc_boll(df, period=20, std_dev=2):
middle = df['close'].rolling(window=period).mean()
std = df['close'].rolling(window=period).std()
upper = middle + (std * std_dev)
lower = middle - (std * std_dev)
return upper, middle, lower
K线形态识别
常见反转形态
| 形态 |
信号 |
说明 |
| 锤子线 |
买入 |
下影线长，实体小 |
| 上吊线 |
卖出 |
上影线长，实体小 |
| 吞没 |
买入/卖出 |
阴阳包线 |
| 十字星 |
谨慎 |
多空平衡 |
| 早晨之星 |
买入 |
底部三连阳 |
| 黄昏之星 |
卖出 |
顶部三连阴 |
形态识别代码
def is_hammer(candle):
"""锤子线"""
body = abs(candle['close'] - candle['open'])
lower_shadow = min(candle['open'], candle['close']) - candle['low']
upper_shadow = candle['high'] - max(candle['open'], candle['close'])
return (lower_shadow > body * 2 and
upper_shadow < body * 0.5)
def is_doji(candle):
"""十字星"""
body = abs(candle['close'] - candle['open'])
total_range = candle['high'] - candle['low']
return body < total_range * 0.1
支撑位与阻力位
def find_support_resistance(prices, window=20):
"""寻找支撑位和阻力位"""
highs = prices['high'].rolling(window).max()
lows = prices['low'].rolling(window).min()
return highs, lows
量价关系
| 现象 |
信号 |
| 价涨量增 |
强势上涨 |
| 价涨量缩 |
上涨乏力 |
| 价跌量增 |
恐慌抛售 |
| 价跌量缩 |
底部信号 |
使用建议
- 多指标结合 - MACD + KDJ + RSI 综合判断
- 顺势而为 - 上涨趋势中逢低买入
- 量价配合 - 放量突破更可靠
- 设止损位 - 技术分析+止损=风险控制
注意事项
- 技术分析仅供参考
- 市场有风险，投资需谨慎
- 不同行情适用不同指标
- 建议结合基本面分析
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