what is technical analysis

Technical Analysis

Technical Analysis การวิเคราะห์ทางเทคนิค Chart Patterns Indicators Moving Average RSI MACD Bollinger Bands Support Resistance Trend Volume Trading Strategy

Chart Analysis Code

# === Technical Analysis with Python ===

# pip install pandas numpy ta

import numpy as np
from dataclasses import dataclass

def sma(prices, period):
    result = []
    for i in range(len(prices)):
        if i < period - 1:
            result.append(None)
        else:
            result.append(np.mean(prices[i-period+1:i+1]))
    return result

def ema(prices, period):
    result = [prices[0]]
    multiplier = 2 / (period + 1)
    for i in range(1, len(prices)):
        val = (prices[i] - result[-1]) * multiplier + result[-1]
        result.append(val)
    return result

def rsi(prices, period=14):
    deltas = np.diff(prices)
    gains = np.where(deltas > 0, deltas, 0)
    losses = np.where(deltas < 0, -deltas, 0)
    avg_gain = np.mean(gains[:period])
    avg_loss = np.mean(losses[:period])
    rs_values = []
    for i in range(period, len(gains)):
        avg_gain = (avg_gain * (period-1) + gains[i]) / period
        avg_loss = (avg_loss * (period-1) + losses[i]) / period
        if avg_loss == 0:
            rs_values.append(100)
        else:
            rs = avg_gain / avg_loss
            rs_values.append(100 - (100 / (1 + rs)))
    return rs_values

# Example
np.random.seed(42)
prices = 100 + np.cumsum(np.random.randn(100) * 0.5)
sma_20 = sma(list(prices), 20)
rsi_14 = rsi(list(prices), 14)

print("=== Technical Analysis Results ===")
print(f"  Current Price: {prices[-1]:.2f}")
print(f"  SMA(20): {sma_20[-1]:.2f}")
print(f"  RSI(14): {rsi_14[-1]:.2f}")

trend = "Bullish" if prices[-1] > sma_20[-1] else "Bearish"
rsi_signal = "Overbought" if rsi_14[-1] > 70 else "Oversold" if rsi_14[-1] < 30 else "Neutral"
print(f"  Trend: {trend}")
print(f"  RSI Signal: {rsi_signal}")

@dataclass
class TradeSignal:
    indicator: str
    signal: str
    direction: str
    strength: str

signals = [
    TradeSignal("Price vs SMA(20)", f"Price {'above' if trend == 'Bullish' else 'below'} SMA", trend, "Medium"),
    TradeSignal("RSI(14)", f"RSI = {rsi_14[-1]:.1f}", rsi_signal, "Medium"),
    TradeSignal("SMA Cross", "SMA(20) vs SMA(50)", "Check manually", "High"),
    TradeSignal("Volume", "Check if above average", "Confirm", "High"),
]

print(f"\nSignal Summary:")
for s in signals:
    print(f"  [{s.indicator}] {s.signal} | {s.direction} | Strength: {s.strength}")

Chart Patterns

# === Chart Pattern Recognition ===

@dataclass
class ChartPattern:
    pattern: str
    pattern_type: str
    signal: str
    target: str
    confirmation: str
    reliability: str

patterns = [
    ChartPattern("Head & Shoulders", "Reversal", "Bearish after uptrend",
        "Neckline distance projected down", "Break below neckline + volume", "High"),
    ChartPattern("Inverse H&S", "Reversal", "Bullish after downtrend",
        "Neckline distance projected up", "Break above neckline + volume", "High"),
    ChartPattern("Double Top", "Reversal", "Bearish — two peaks same level",
        "Height of pattern projected down", "Break below support + volume", "High"),
    ChartPattern("Double Bottom", "Reversal", "Bullish — two troughs same level",
        "Height of pattern projected up", "Break above resistance + volume", "High"),
    ChartPattern("Ascending Triangle", "Continuation", "Bullish — flat top rising bottom",
        "Height projected from breakout", "Break above flat resistance", "Medium-High"),
    ChartPattern("Descending Triangle", "Continuation", "Bearish — flat bottom falling top",
        "Height projected from breakdown", "Break below flat support", "Medium-High"),
    ChartPattern("Bull Flag", "Continuation", "Bullish — flag after strong move up",
        "Flagpole length from breakout", "Break above flag resistance", "High"),
    ChartPattern("Wedge (Rising)", "Reversal", "Bearish — converging trendlines up",
        "Beginning of wedge", "Break below lower trendline", "Medium"),
]

print("=== Chart Patterns ===")
for p in patterns:
    print(f"  [{p.pattern}] Type: {p.pattern_type} | Reliability: {p.reliability}")
    print(f"    Signal: {p.signal}")
    print(f"    Target: {p.target}")
    print(f"    Confirm: {p.confirmation}")

# Candlestick Patterns
candles = {
    "Doji": "Indecision — open = close, potential reversal",
    "Hammer": "Bullish reversal — long lower shadow at support",
    "Shooting Star": "Bearish reversal — long upper shadow at resistance",
    "Engulfing Bull": "Bullish — large candle engulfs previous bear candle",
    "Engulfing Bear": "Bearish — large candle engulfs previous bull candle",
    "Morning Star": "Bullish reversal — 3 candle pattern at bottom",
    "Evening Star": "Bearish reversal — 3 candle pattern at top",
}

print(f"\n\nCandlestick Patterns:")
for k, v in candles.items():
    print(f"  [{k}]: {v}")

Trading Strategy

# === Trading Strategy Framework ===

@dataclass
class Strategy:
    name: str
    timeframe: str
    entry: str
    exit: str
    stop_loss: str
    risk_reward: str
    win_rate: str

strategies = [
    Strategy("MA Cross", "Daily", "EMA(20) crosses above EMA(50)", "EMA(20) crosses below EMA(50)",
        "Below recent swing low", "1:2", "45-55%"),
    Strategy("RSI Reversal", "4H", "RSI < 30 + bullish candle at support",
        "RSI > 70 or target hit", "Below support level", "1:2", "50-60%"),
    Strategy("Breakout", "1H-4H", "Break above resistance + volume spike",
        "Trailing stop or target", "Below breakout level", "1:3", "35-45%"),
    Strategy("Fibonacci Pullback", "4H-Daily", "Pullback to 61.8% Fib + RSI support",
        "Previous high or Fib extension", "Below 78.6% Fib", "1:2.5", "50-55%"),
    Strategy("Bollinger Squeeze", "4H", "Bandwidth < 0.05 → break direction",
        "Opposite band or 2x ATR", "Middle band", "1:2", "45-50%"),
]

print("Trading Strategies:")
for s in strategies:
    print(f"  [{s.name}] TF: {s.timeframe}")
    print(f"    Entry: {s.entry}")
    print(f"    Exit: {s.exit}")
    print(f"    SL: {s.stop_loss} | R:R: {s.risk_reward} | Win: {s.win_rate}")

learning_path = {
    "Week 1-2": "Candlestick basics, Support/Resistance, Trendlines",
    "Week 3-4": "Moving Averages, RSI, MACD fundamentals",
    "Month 2": "Chart Patterns, Volume Analysis, Fibonacci",
    "Month 3": "Strategy building, Backtesting, Risk Management",
    "Month 4-6": "Paper Trading, Journal, Psychology",
    "Month 6+": "Live trading small size, Review, Improve",
}

print(f"\n\nLearning Path:")
for k, v in learning_path.items():
    print(f"  [{k}]: {v}")

เคล็ดลับ

• Trend: เทรดตาม Trend เสมอ อย่าเทรดสวน Trend
• Confluence: ใช้หลาย Indicator ยืนยันกัน ไม่พึ่ง Indicator เดียว
• Volume: ดู Volume ยืนยัน Breakout ทุกครั้ง
• Risk: ตั้ง Stop Loss ทุกครั้ง Risk ไม่เกิน 1-2% ต่อ Trade
• Journal: จดบันทึกทุก Trade วิเคราะห์ผลย้อนหลัง

การนำความรู้ไปประยุกต์ใช้งานจริง

แหล่งเรียนรู้ที่แนะนำ ได้แก่ Official Documentation ที่อัพเดทล่าสุดเสมอ Online Course จาก Coursera Udemy edX ช่อง YouTube คุณภาพทั้งไทยและอังกฤษ และ Community อย่าง Discord Reddit Stack Overflow ที่ช่วยแลกเปลี่ยนประสบการณ์กับนักพัฒนาทั่วโลก

เปรียบเทียบข้อดีและข้อเสีย

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สรุป

Technical Analysis Chart Patterns Indicators Moving Average RSI MACD Bollinger Bands Support Resistance Volume Trend Strategy Risk Management Trading