Supply Demand là gì — อุปสงค์อุปทานฉบับสมบูรณ์ | SiamCafe Blog

Supply Demand

Supply Demand อุปสงค์ อุปทาน Zone Price Action Rally Base Drop Equilibrium Trading Strategy Forex หุ้น Crypto

Zone Identification

# === Supply Demand Zone Identification ===

from dataclasses import dataclass

@dataclass
class SDZone:
 zone_type: str
 formation: str
 high: float
 low: float
 strength: str
 fresh: bool
 timeframe: str

zones = [
 SDZone("Demand", "Drop-Base-Rally", 1.0850, 1.0820, "Strong", True, "H4"),
 SDZone("Demand", "Rally-Base-Rally", 1.0750, 1.0730, "Medium", False, "H4"),
 SDZone("Supply", "Rally-Base-Drop", 1.0980, 1.1010, "Strong", True, "H4"),
 SDZone("Supply", "Drop-Base-Drop", 1.1050, 1.1080, "Weak", False, "H4"),
 SDZone("Demand", "Drop-Base-Rally", 1.0700, 1.0680, "Strong", True, "Daily"),
 SDZone("Supply", "Rally-Base-Drop", 1.1100, 1.1130, "Strong", True, "Daily"),
]

print("=== Supply Demand Zones (EURUSD) ===")
for z in zones:
 fresh = "FRESH" if z.fresh else "TESTED"
 print(f" [{z.zone_type}] {z.low:.4f} - {z.high:.4f} | {z.timeframe}")
 print(f" Formation: {z.formation}")
 print(f" Strength: {z.strength} | Status: {fresh}")

# Zone Quality Scoring
def score_zone(zone):
 score = 0
 # Fresh zone = +3
 if zone.fresh:
 score += 3
 # Strong move = +2
 if zone.strength == "Strong":
 score += 2
 elif zone.strength == "Medium":
 score += 1
 # Higher timeframe = +2
 if zone.timeframe in ["Daily", "Weekly"]:
 score += 2
 elif zone.timeframe == "H4":
 score += 1
 # RBD/DBR = +1 (better formation)
 if zone.formation in ["Rally-Base-Drop", "Drop-Base-Rally"]:
 score += 1
 return score

print(f"\nZone Quality Scores:")
for z in zones:
 s = score_zone(z)
 grade = "A" if s >= 7 else "B" if s >= 5 else "C"
 print(f" [{z.zone_type} {z.low:.4f}] Score: {s}/8 Grade: {grade}")

Trading Strategy

# === Supply Demand Trading Strategy ===

@dataclass
class TradeSetup:
 pair: str
 direction: str
 zone_type: str
 entry: float
 stop_loss: float
 target: float
 risk_reward: float
 confirmation: str

setups = [
 TradeSetup("EURUSD", "Buy", "Demand", 1.0825, 1.0795, 1.0920, 3.17,
 "Bullish Engulfing at Demand Zone"),
 TradeSetup("EURUSD", "Sell", "Supply", 1.0985, 1.1015, 1.0855, 4.33,
 "Bearish Pin Bar at Supply Zone"),
 TradeSetup("GBPUSD", "Buy", "Demand", 1.2650, 1.2620, 1.2780, 4.33,
 "Morning Star at Fresh Demand"),
 TradeSetup("USDJPY", "Sell", "Supply", 150.80, 151.10, 149.90, 3.0,
 "Shooting Star at Daily Supply"),
]

print("=== Trade Setups ===")
for t in setups:
 risk = abs(t.entry - t.stop_loss)
 reward = abs(t.target - t.entry)
 print(f" [{t.pair}] {t.direction} at {t.zone_type} Zone")
 print(f" Entry: {t.entry} | SL: {t.stop_loss} | TP: {t.target}")
 print(f" Risk: {risk:.4f} | Reward: {reward:.4f} | R:R: 1:{t.risk_reward:.1f}")
 print(f" Confirm: {t.confirmation}")

# Trading Rules
rules = {
 "Rule 1": "เทรดเฉพาะ Fresh Zone ที่ยังไม่เคยถูก Test",
 "Rule 2": "ใช้ Higher TF (/H4) หา Zone, Lower TF (H1/) หา Entry",
 "Rule 3": "รอ Confirmation Candlestick ก่อน Entry ไม่ใช้ Limit Order",
 "Rule 4": "Stop Loss ใต้/เหนือ Zone ห้ามย้าย SL ออก",
 "Rule 5": "Risk Reward อย่างน้อย 1:2 ไม่เทรดถ้า R:R ต่ำกว่า",
 "Rule 6": "ถ้า Zone ถูก Break ด้วย Strong Candle ยกเลิกทันที",
 "Rule 7": "Risk ไม่เกิน 1% ต่อ Trade",
 "Rule 8": "ไม่เทรดก่อน/หลัง News สำคัญ 30 นาที",
}

print(f"\n\nTrading Rules:")
for k, v in rules.items():
 print(f" [{k}]: {v}")

Multi-timeframe Analysis

# === Multi-timeframe SD Analysis ===

@dataclass
class MTFAnalysis:
 timeframe: str
 trend: str
 nearest_zone: str
 zone_level: str
 bias: str

analysis = [
 MTFAnalysis("Monthly", "Uptrend", "Demand 1.0500", "Major", "Bullish"),
 MTFAnalysis("Weekly", "Ranging", "Supply 1.1100 / Demand 1.0700", "Major", "Neutral"),
 MTFAnalysis("Daily", "Downtrend short-term", "Supply 1.0980 / Demand 1.0700", "Intermediate", "Bearish"),
 MTFAnalysis("H4", "Downtrend", "Supply 1.0980 / Demand 1.0820", "Minor", "Bearish"),
 MTFAnalysis("H1", "Ranging", "Near Demand 1.0820", "Entry", "Watch for Buy"),
]

print("=== Multi-timeframe Analysis (EURUSD) ===")
for a in analysis:
 print(f" [{a.timeframe}] Trend: {a.trend} | Bias: {a.bias}")
 print(f" Zones: {a.nearest_zone} ({a.zone_level})")

# Decision Matrix
decisions = {
 "HTF Bullish + LTF at Demand": "BUY — Strong setup, trend aligned",
 "HTF Bullish + LTF at Supply": "WAIT — Counter-trend, skip",
 "HTF Bearish + LTF at Supply": "SELL — Strong setup, trend aligned",
 "HTF Bearish + LTF at Demand": "WAIT — Counter-trend, skip",
 "HTF Ranging + LTF at Demand": "BUY — With tight SL, reduced size",
 "HTF Ranging + LTF at Supply": "SELL — With tight SL, reduced size",
}

print(f"\n\nDecision Matrix:")
for k, v in decisions.items():
 print(f" [{k}]")
 print(f" Action: {v}")

เคล็ดลับ

• Fresh: เทรดเฉพาะ Fresh Zone ที่ยังไม่เคยถูก Test
• MTF: ใช้ Higher Timeframe หา Zone Lower Timeframe หา Entry
• Confirm: รอ Candlestick Confirmation ก่อน Entry เสมอ
• R:R: Risk Reward อย่างน้อย 1:2 ไม่เทรดถ้าต่ำกว่า
• Break: ถ้า Zone ถูก Break ด้วย Strong Candle ยกเลิกทันที

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สรุป

Supply Demand อุปสงค์ อุปทาน Zone Rally Base Drop Fresh MTF Multi-timeframe Confirmation Price Action Trading Strategy Risk Reward