Krikorios
48e60d015f
- Add advanced metrics dashboard with trade analytics - Add new trading components (EntryTypeAnalysis, MultiDayPositionTracker, NewsEventTracker, etc.) - Add strategy mode selector and trend confirmation - Add risk automation panel and slippage correlation analysis - Add daily trading plan enhancements with modal components - Add custom hooks (useApi, useLocalStorage, useAdvancedTradeMetrics) - Add broker service integration and trading API - Add test setup and vitest configuration - Include parquet data files for live market data - Add comprehensive documentation in docs/ folder
664 lines
33 KiB
Python
664 lines
33 KiB
Python
"""
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Trading Plan Templates
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Comprehensive trading plan generators for different schools and scenarios
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"""
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from typing import Dict, List, Any, Optional
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from datetime import datetime, date
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from enum import Enum
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from .trading_schools import TradingSchool
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class PlanType(str, Enum):
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"""Types of trading plans"""
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INTRADAY = "intraday" # Day trading
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SWING = "swing" # Multi-day holds
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POSITION = "position" # Weeks to months
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SCALPING = "scalping" # Quick in/out
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EVENT_DRIVEN = "event_driven" # News/economic events
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RANGE_BOUND = "range_bound" # Sideways markets
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BREAKOUT = "breakout" # Breakout strategies
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REVERSAL = "reversal" # Reversal trading
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TREND_FOLLOWING = "trend_following" # Trend continuation
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class MarketCondition(str, Enum):
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"""Market conditions"""
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TRENDING_UP = "trending_up"
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TRENDING_DOWN = "trending_down"
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RANGING = "ranging"
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VOLATILE = "volatile"
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QUIET = "quiet"
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BREAKOUT_PENDING = "breakout_pending"
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POST_NEWS = "post_news"
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class PlanTemplates:
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"""Generate trading plans based on methodology and conditions"""
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@staticmethod
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def generate_ict_smc_plan(
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current_price: float,
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market_condition: MarketCondition,
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session: str = "london_ny"
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) -> Dict[str, Any]:
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"""Generate ICT/Smart Money Concepts trading plan"""
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# Adaptive targets based on price
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atr_estimate = current_price * 0.015 # ~1.5% for gold
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if session == "london":
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killzone_start = "03:00 EST"
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killzone_end = "05:00 EST"
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elif session == "ny":
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killzone_start = "08:00 EST"
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killzone_end = "11:00 EST"
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else:
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killzone_start = "08:00 EST"
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killzone_end = "11:00 EST"
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return {
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"plan_type": PlanType.INTRADAY,
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"methodology": "ICT / Smart Money Concepts",
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"session_focus": session.upper(),
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"killzone": f"{killzone_start} - {killzone_end}",
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"analysis_framework": [
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"1. MARKET STRUCTURE ANALYSIS",
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" □ Identify current trend (HH/HL for bullish, LH/LL for bearish)",
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" □ Mark last BOS (Break of Structure) or ChoCh (Change of Character)",
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" □ Determine market state: Trending vs Ranging",
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"",
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"2. KEY LEVEL IDENTIFICATION",
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" □ Mark all Fair Value Gaps (FVG/Imbalance)",
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" □ Identify Order Blocks (last down candle before up move, vice versa)",
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" □ Note liquidity pools (equal highs/lows, stop hunts)",
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" □ Draw Premium/Discount zones (50% of range)",
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"",
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"3. ENTRY STRATEGY",
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" □ Wait for liquidity sweep (stop hunt)",
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" □ Price retraces to FVG or Order Block",
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" □ Optimal Trade Entry: 0.618-0.79 Fibonacci of last leg",
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" □ Enter during killzone for best probability",
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" □ Look for displacement after entry (strong move)",
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"",
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"4. RISK MANAGEMENT",
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" □ Stop loss: 5-10 points beyond Order Block",
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f" □ Position size: Based on ${atr_estimate:.2f} ATR",
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" □ First target: Next FVG or liquidity",
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" □ Final target: Opposite side liquidity or major structure",
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" □ Move stop to break-even after 1:1 RR"
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],
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"entry_checklist": [
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"✓ Market structure identified (bullish/bearish)",
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"✓ BOS or ChoCh confirmed",
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"✓ FVG or Order Block located",
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"✓ Waiting for retracement to OTE (0.618-0.79)",
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"✓ Entry during killzone hours",
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"✓ Clear invalidation point defined"
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],
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"trade_scenarios": {
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"bullish_setup": {
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"prerequisites": [
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"Price creates higher high (BOS)",
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"Retracement to bullish FVG or Order Block",
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"Entry at 0.618-0.79 Fib of last bullish leg"
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],
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"entry": f"${current_price - (atr_estimate * 0.7):.2f} (at OB/FVG)",
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"stop_loss": f"${current_price - (atr_estimate * 1.2):.2f} (below OB)",
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"target_1": f"${current_price + (atr_estimate * 0.8):.2f} (FVG fill)",
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"target_2": f"${current_price + (atr_estimate * 1.5):.2f} (liquidity)",
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"rr_ratio": "1:3"
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},
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"bearish_setup": {
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"prerequisites": [
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"Price creates lower low (BOS)",
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"Retracement to bearish FVG or Order Block",
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"Entry at 0.618-0.79 Fib of last bearish leg"
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],
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"entry": f"${current_price + (atr_estimate * 0.7):.2f} (at OB/FVG)",
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"stop_loss": f"${current_price + (atr_estimate * 1.2):.2f} (above OB)",
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"target_1": f"${current_price - (atr_estimate * 0.8):.2f} (FVG fill)",
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"target_2": f"${current_price - (atr_estimate * 1.5):.2f} (liquidity)",
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"rr_ratio": "1:3"
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}
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},
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"max_trades": 2,
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"max_daily_loss": 250,
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"notes": [
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"⚠️ CRITICAL RULES:",
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"• Only trade during killzone hours (highest probability)",
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"• Must have clear FVG or Order Block - no guessing",
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"• Wait for displacement (strong candle) for confirmation",
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"• Avoid trading during major news releases",
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"• If stopped out twice, done for the session",
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"",
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"📊 MARKET MAKER MODEL:",
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"1. Accumulation: Quiet consolidation, FVG formation",
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"2. Manipulation: Liquidity sweep (stop hunt) against trend",
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"3. Distribution: True move in intended direction",
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"",
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"🎯 OPTIMAL TRADE ENTRY (OTE):",
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"• 0.618 Fib: Conservative entry",
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"• 0.705 Fib: Sweet spot",
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"• 0.79 Fib: Aggressive entry (higher risk)",
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"",
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"💡 PRO TIPS:",
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"• London session: Watch for Judas swing (false move)",
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"• NY session: Strongest moves, follow London direction",
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"• Avoid Asian session: Low liquidity, choppy",
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"• Best setups: Monday-Thursday (avoid Friday chop)"
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]
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}
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@staticmethod
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def generate_wyckoff_plan(
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current_price: float,
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market_condition: MarketCondition
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) -> Dict[str, Any]:
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"""Generate Wyckoff Method trading plan"""
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range_size = current_price * 0.03 # 3% trading range estimate
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return {
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"plan_type": PlanType.SWING,
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"methodology": "Wyckoff Method",
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"analysis_framework": [
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"1. PHASE IDENTIFICATION",
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" □ Accumulation (PS → SC → AR → ST → Spring → Test → SOS → LPS → BU)",
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" □ Markup (Uptrend with re-accumulation phases)",
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" □ Distribution (PSY → BC → AR → ST → UTAD → LPSY → SOW)",
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" □ Markdown (Downtrend with re-distribution phases)",
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"",
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"2. VOLUME ANALYSIS",
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" □ High volume on spring = institutional buying",
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" □ Low volume on test = supply absorbed",
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" □ High volume on UTAD = distribution warning",
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" □ Effort vs Result: High volume + small range = absorption",
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"",
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"3. SCHEMATIC ANALYSIS",
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" □ Preliminary Support (PS) - first sign of buying",
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" □ Selling Climax (SC) - panic selling, widest spread",
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" □ Automatic Rally (AR) - relief bounce",
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" □ Secondary Test (ST) - tests SC low on lower volume",
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" □ Spring - traps sellers, stops below support",
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" □ Sign of Strength (SOS) - decisive move up",
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" □ Last Point of Support (LPS) - final buy opportunity",
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"",
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"4. CAUSE & EFFECT",
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f" □ Trading Range: ~${range_size:.2f}",
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f" □ Measured Move: ~${range_size * 2:.2f}",
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" □ Count: Accumulation time predicts markup distance"
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],
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"entry_strategies": {
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"accumulation_phase": {
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"entry_point": "After spring, on LPS (Last Point of Support)",
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"confirmation": "Volume decrease on pullback, increase on SOS",
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"entry_price": f"${current_price - (range_size * 0.3):.2f}",
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"stop_loss": f"${current_price - (range_size * 0.6):.2f}",
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"target": f"${current_price + (range_size * 1.5):.2f}",
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"holding_period": "Days to weeks"
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},
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"distribution_phase": {
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"entry_point": "After UTAD (Upthrust After Distribution)",
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"confirmation": "High volume on weakness, low volume on strength",
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"entry_price": f"${current_price + (range_size * 0.3):.2f}",
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"stop_loss": f"${current_price + (range_size * 0.6):.2f}",
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"target": f"${current_price - (range_size * 1.5):.2f}",
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"holding_period": "Days to weeks"
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}
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},
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"volume_spread_analysis": [
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"VSA SIGNALS TO WATCH:",
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"• No Supply: Up bar, narrow spread, low volume = bullish",
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"• No Demand: Down bar, narrow spread, low volume = bearish",
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"• Stopping Volume: Down bar, wide spread, high volume = bottom",
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"• Climax: Wide spread, very high volume = exhaustion",
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"• Test: Down bar, narrow spread, low volume after climax = bullish",
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"• Weakness: Up bar, wide spread, low volume = top forming"
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],
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"three_laws": [
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"1. LAW OF SUPPLY & DEMAND",
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" • High demand, low supply = prices rise",
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" • Low demand, high supply = prices fall",
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"",
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"2. LAW OF CAUSE & EFFECT",
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" • Larger accumulation = larger markup",
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" • Time in range predicts extent of move",
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"",
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"3. LAW OF EFFORT VS RESULT",
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" • High volume (effort) should produce price change (result)",
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" • Low volume (low effort) producing large moves = following smart money",
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" • High volume with no price change = absorption (distribution or accumulation)"
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],
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"max_trades": 1, # Wyckoff is patient, fewer trades
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"max_daily_loss": 200,
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"notes": [
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"📚 WYCKOFF WISDOM:",
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"• \"Determine the trend and trade with it, not against it\"",
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"• \"Wait for the right moment, then strike with force\"",
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"• \"The market is controlled by the Composite Operator\"",
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"",
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"⏰ PATIENCE IS KEY:",
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"• Full Wyckoff cycle can take weeks or months",
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"• Don't rush - wait for clear phases",
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"• Best entries: After spring or after UTAD",
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"",
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"📊 CHART READING:",
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"• Use 4H and Daily charts for phase identification",
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"• Use 1H for entry timing",
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"• Volume is CRITICAL - without volume, it's not Wyckoff",
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"",
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"⚠️ WARNINGS:",
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"• Don't trade in middle of range (wait for edges)",
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"• Fake springs exist - wait for SOS confirmation",
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"• Not every range is Wyckoff - need volume characteristics"
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]
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}
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@staticmethod
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def generate_multi_method_confluence_plan(
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current_price: float,
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market_condition: MarketCondition
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) -> Dict[str, Any]:
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"""Generate plan using multiple methodologies for maximum confluence"""
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atr = current_price * 0.015
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return {
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"plan_type": PlanType.SWING,
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"methodology": "Multi-Method Confluence (ICT + Fibonacci + S/D + Price Action)",
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"confluence_zones": [
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"ZONE IDENTIFICATION - ALL METHODS MUST ALIGN:",
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"",
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"1. SMART MONEY CONCEPTS:",
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" □ Fair Value Gap (FVG) or Order Block identified",
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" □ BOS or ChoCh confirmed",
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" □ Within discount zone (below 50% of range for buys)",
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"",
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"2. FIBONACCI ANALYSIS:",
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" □ 0.618 or 0.786 retracement level",
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" □ Previous swing low to swing high measured",
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" □ Fib level aligns with FVG/OB zone",
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"",
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"3. SUPPLY & DEMAND:",
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" □ Fresh demand zone (for buys) or supply zone (for sells)",
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" □ Rally-Base-Rally or Drop-Base-Drop pattern",
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" □ Zone not tested more than once",
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"",
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"4. PRICE ACTION:",
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" □ Support/Resistance level confirmed",
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" □ Pin bar, engulfing, or inside bar at level",
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" □ Structure break and retest",
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"",
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"✅ REQUIRED CONFLUENCE: Minimum 3 out of 4 methods confirming same zone"
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],
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"setup_requirements": {
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"maximum_confluence": {
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"description": "All 4 methods agree - highest probability",
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"requirements": [
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"FVG/Order Block present",
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"0.618-0.786 Fibonacci level",
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"Fresh S/D zone",
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"Key S/R level + candlestick pattern"
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],
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"example_entry": f"${current_price - (atr * 0.8):.2f}",
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"example_stop": f"${current_price - (atr * 1.3):.2f}",
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"example_target": f"${current_price + (atr * 2.5):.2f}",
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"position_size": "Full size (2-3% risk)",
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"win_rate": "70-80%",
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"rr_ratio": "1:3 minimum"
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},
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"high_confluence": {
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"description": "3 out of 4 methods agree",
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"requirements": [
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"Any 3 methods confirming same zone",
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"Timeframe confluence (HTF + LTF alignment)"
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],
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"position_size": "75% of full size",
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"win_rate": "65-75%",
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"rr_ratio": "1:2.5 minimum"
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},
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"moderate_confluence": {
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"description": "2 out of 4 methods - avoid or very small size",
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"recommendation": "Skip unless highly experienced",
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"position_size": "25% if taken",
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"win_rate": "55-65%"
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}
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},
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"step_by_step_process": [
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"STEP 1: MULTI-TIMEFRAME ANALYSIS",
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"□ Monthly/Weekly: Identify major trend and key levels",
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"□ Daily: Mark swing highs/lows, draw Fibonacci",
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"□ 4H: Identify S/D zones, FVGs, Order Blocks",
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"□ 1H: Wait for price to approach confluence zone",
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"□ 15M: Look for entry trigger (candlestick pattern)",
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"",
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"STEP 2: ZONE MARKING",
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"□ Mark all FVGs and Order Blocks (ICT)",
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"□ Draw Fibonacci from last major swing (0.382, 0.5, 0.618, 0.786)",
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"□ Identify fresh S/D zones (Supply/Demand)",
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"□ Mark key horizontal S/R levels (Price Action)",
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"□ Highlight zones where 3-4 methods overlap",
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"",
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"STEP 3: CONFLUENCE VERIFICATION",
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f"□ Price approaches confluence zone: ${current_price - atr:.2f} - ${current_price - (atr * 0.6):.2f}",
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"□ Verify zone freshness (not tested multiple times)",
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"□ Check session timing (prefer London/NY for gold)",
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"□ Assess market condition (avoid choppy, low volume periods)",
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"",
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"STEP 4: ENTRY TRIGGER",
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"□ Wait for price to enter confluence zone",
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"□ Look for rejection: Pin bar, engulfing pattern, or inside bar",
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"□ Can use limit order at zone OR wait for confirmation",
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"□ Entry preference: Confirmation candle (safer) vs limit (better RR)",
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"",
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"STEP 5: TRADE MANAGEMENT",
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"□ Stop loss: 5-10 points beyond zone (below/above all confluence factors)",
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"□ Target 1 (50%): Next FVG, S/D zone, or Fib extension (1.272)",
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"□ Target 2 (50%): Major structure, opposite liquidity, or Fib 1.618",
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"□ Trail stop: Use ATR-based trail or move to break-even after T1",
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"",
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"STEP 6: POST-TRADE REVIEW",
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"□ Did all methods confirm?",
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"□ What was win rate for this confluence setup?",
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"□ Note for future: Which method was strongest predictor?",
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"□ Journal: Screenshot setup and outcome"
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],
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"example_bullish_trade": {
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"scenario": "Bullish confluence zone setup",
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"confluence_zone": f"${current_price - (atr * 0.9):.2f} - ${current_price - (atr * 0.7):.2f}",
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"methods_confirming": [
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f"✓ Bullish FVG at ${current_price - (atr * 0.8):.2f}",
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f"✓ 0.618 Fib retracement at ${current_price - (atr * 0.75):.2f}",
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f"✓ Fresh demand zone from ${current_price - (atr * 0.9):.2f} to ${current_price - (atr * 0.7):.2f}",
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f"✓ Daily support level at ${current_price - (atr * 0.8):.2f}"
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],
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"entry": f"${current_price - (atr * 0.75):.2f} (limit order in zone OR on pin bar confirmation)",
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"stop_loss": f"${current_price - (atr * 1.3):.2f} (below all confluence factors)",
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"target_1": f"${current_price + (atr * 0.5):.2f} (next minor resistance/FVG)",
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"target_2": f"${current_price + (atr * 2.0):.2f} (major structure/opposite S/D zone)",
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"risk_reward": "1:3.5",
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"position_management": "Close 50% at T1, trail remaining 50% with ATR(14) * 1.5"
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},
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"max_trades": 2,
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"max_daily_loss": 300,
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"notes": [
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"🎯 CONFLUENCE TRADING RULES:",
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"• MINIMUM 3 methods must confirm same zone",
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"• More confluence = higher probability = larger position",
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"• Never force a trade - wait for perfect setup",
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"• These setups are rare (1-3 per week on gold) - be patient!",
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"",
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"⏰ TIMING:",
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"• Best during London/NY sessions (liquidity)",
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"• Avoid: Asian session, major news events, Friday afternoons",
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"• Prefer Monday-Thursday for best follow-through",
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"",
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"📊 EXPECTATION:",
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"• Win rate: 70-80% with proper confluence",
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"• Average RR: 1:3 to 1:5",
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"• Frequency: 1-3 high-quality setups per week",
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"• This is a QUALITY over quantity approach",
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"",
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"⚠️ DISCIPLINE CHECKLIST:",
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"• ❌ Don't trade without minimum 3-method confluence",
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"• ❌ Don't increase risk on 'gut feeling'",
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"• ❌ Don't chase price if it leaves the zone",
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"• ✅ Wait for price to return to confluence zone",
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"• ✅ Journal every setup (even if you don't take it)",
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"• ✅ Review weekly: Which confluences worked best?",
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"",
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"💎 PROFESSIONAL EDGE:",
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"• Institutions look for same confluences - you're trading WITH smart money",
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"• Multiple confirmations = reduced false signals",
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"• Patient traders win - this method rewards discipline",
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"• Track your confluence setups: Over time, you'll find your highest-probability patterns"
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]
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}
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@staticmethod
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def generate_session_based_plan(
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current_price: float,
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target_session: str = "london_ny_overlap"
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) -> Dict[str, Any]:
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"""Generate session-specific trading plan for gold"""
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atr = current_price * 0.015
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sessions = {
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"asian": {
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"time": "6 PM - 3 AM EST",
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"characteristics": "Low volatility, range-bound, choppy",
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"strategy": "Range trading or avoid",
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"avg_range": f"${atr * 0.5:.2f} - ${atr * 0.8:.2f}"
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},
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"london": {
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"time": "3 AM - 12 PM EST",
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"characteristics": "High volatility, trend moves, breakouts",
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"strategy": "Breakout or trend continuation",
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"avg_range": f"${atr * 1.2:.2f} - ${atr * 1.8:.2f}",
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"killzone": "3 AM - 5 AM EST"
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},
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"ny": {
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"time": "8 AM - 5 PM EST",
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"characteristics": "Highest volatility, strong directional moves",
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"strategy": "Continuation of London or reversal",
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"avg_range": f"${atr * 1.5:.2f} - ${atr * 2.0:.2f}",
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"killzone": "8 AM - 11 AM EST"
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},
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"london_ny_overlap": {
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"time": "8 AM - 12 PM EST",
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"characteristics": "Maximum liquidity, most volume, best opportunities",
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"strategy": "All strategies valid, highest probability",
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"avg_range": f"${atr * 1.8:.2f} - ${atr * 2.5:.2f}"
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}
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}
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session_info = sessions.get(target_session, sessions["london_ny_overlap"])
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return {
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"plan_type": PlanType.INTRADAY,
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"methodology": f"{target_session.upper().replace('_', ' ')} Session Trading",
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"session_details": session_info,
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"daily_playbook": [
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"GOLD TRADING SESSION PLAYBOOK:",
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"",
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"🌏 ASIAN SESSION (6 PM - 3 AM EST):",
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"• Price action: Consolidation, range-bound",
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"• Volume: Lowest of the day",
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"• Strategy: Mark Asian range high/low for breakouts",
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"• Approach: Generally avoid or trade mean reversion in range",
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f"• Expected range: {sessions['asian']['avg_range']}",
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"",
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"🇬🇧 LONDON SESSION (3 AM - 12 PM EST):",
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"• Price action: Breakouts, trend establishment",
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"• Volume: High (60% of daily gold volume)",
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"• Strategy: Trade breakouts of Asian range",
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"• Killzone: 3-5 AM EST (highest probability)",
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f"• Expected range: {sessions['london']['avg_range']}",
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"• Watch for: Judas Swing (false move 3-4 AM, real move 5-8 AM)",
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"",
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"🇺🇸 NY SESSION (8 AM - 5 PM EST):",
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"• Price action: Continuation or reversal",
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"• Volume: Highest (overlap with London 8 AM-12 PM)",
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"• Strategy: Follow London direction or trade reversals",
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"• Killzone: 8-11 AM EST (absolute best time)",
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f"• Expected range: {sessions['ny']['avg_range']}",
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"• Watch for: US economic data releases (8:30 AM, 10 AM)",
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"",
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"🏆 LONDON/NY OVERLAP (8 AM - 12 PM EST):",
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"• Price action: Maximum movement, strong trends",
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"• Volume: Peak liquidity",
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"• Strategy: ALL strategies valid, focus here",
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f"• Expected range: {sessions['london_ny_overlap']['avg_range']}",
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"• This is THE WINDOW for gold day trading"
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],
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"intraday_scenarios": {
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"scenario_1_breakout": {
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"name": "Asian Range Breakout (Most Common)",
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"setup": [
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"1. Mark Asian session high and low (6 PM - 3 AM)",
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f"2. Asian range: typically ${atr * 0.5:.2f} - ${atr * 0.8:.2f}",
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"3. Wait for London open (3 AM EST)",
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"4. Watch for breakout of range + close outside",
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"5. Enter on retest of broken level OR on break candle"
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],
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"entry_long": f"${current_price + (atr * 0.3):.2f} (break above Asian high)",
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"stop_long": f"${current_price - (atr * 0.4):.2f} (below Asian low)",
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"target_long": f"${current_price + (atr * 1.5):.2f} (1.5x Asian range)",
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"timing": "3-5 AM EST (London killzone)"
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},
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"scenario_2_judas_swing": {
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"name": "Judas Swing (ICT Concept)",
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"setup": [
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"1. London opens with move in one direction (3-4 AM)",
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"2. Move is FALSE - designed to trap traders",
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"3. Price reverses sharply (4-6 AM)",
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"4. Real move happens opposite to initial direction",
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"5. Enter on reversal confirmation"
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],
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"example": "Gold breaks up at 3 AM → Reverses down 4 AM → Continues down rest of session",
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"entry": "After reversal candle, when false high is broken back down",
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"stop": "Above false high + buffer",
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"target": f"${atr * 1.5:.2f} - ${atr * 2.0:.2f} move in true direction"
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},
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"scenario_3_continuation": {
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"name": "NY Continuation (Follows London)",
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"setup": [
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"1. London session establishes clear direction",
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"2. NY open (8 AM) continues same direction",
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"3. Pullback to FVG or Order Block during overlap",
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"4. Enter on continuation"
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],
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"entry": f"${current_price:.2f} (at pullback zone)",
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"stop": f"${current_price - (atr * 0.8):.2f} (beyond retracement)",
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"target": f"${current_price + (atr * 1.5):.2f} (session extension)",
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"timing": "8 AM - 11 AM EST"
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},
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"scenario_4_reversal": {
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"name": "NY Reversal (Opposite London)",
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"setup": [
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"1. London session exhausts in one direction",
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"2. Signs of exhaustion: Wicks, slowing momentum, volume decrease",
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"3. NY open triggers reversal",
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"4. Enter on confirmed reversal pattern"
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],
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"entry": f"${current_price:.2f} (on reversal candle close)",
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"stop": f"${current_price + (atr * 0.8):.2f} (beyond reversal level)",
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"target": f"${current_price - (atr * 1.5):.2f} (back to Asian range or key level)",
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"timing": "8 AM - 10 AM EST",
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"note": "Less common than continuation, wait for strong confirmation"
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}
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},
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"time_based_rules": [
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"⏰ TIME-BASED TRADING RULES:",
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"",
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"DO NOT TRADE:",
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"• Before 3 AM EST (Asian session - too choppy)",
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"• After 12 PM EST (liquidity dries up, whipsaws increase)",
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"• During major US news releases (wait 15-30 min after)",
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"• Friday after 10 AM EST (early close, low volume)",
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"",
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"BEST TRADING WINDOWS:",
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"• 3-5 AM EST: London killzone (breakouts)",
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"• 8-11 AM EST: NY killzone (strongest moves)",
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"• 8-10 AM EST: Absolute prime time (London/NY overlap peak)",
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"",
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"VOLUME PROFILE:",
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"• 3-8 AM: Building volume, establishing direction",
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"• 8-11 AM: Peak volume, maximum movement",
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"• 11 AM-12 PM: Reduced volatility, range trading",
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"• After 12 PM: Avoid or tight ranges only"
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],
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"daily_routine": [
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"📋 SESSION TRADER DAILY ROUTINE:",
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"",
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"2:30 AM EST - Pre-London Preparation:",
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"□ Review overnight news and economic calendar",
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"□ Mark Asian session high/low",
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"□ Identify key levels from previous day",
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"□ Check DXY, yields, and market correlations",
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"□ Plan: What will you do if price breaks up? Breaks down?",
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"",
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"3:00 AM EST - London Open:",
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"□ Watch for initial direction",
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"□ Is it breaking Asian range or staying within?",
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"□ Look for Judas Swing setup (false move)",
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"□ Mark any FVGs or Order Blocks forming",
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"",
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"7:30 AM EST - Pre-NY Prep:",
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"□ Assess London session direction (up/down/ranging)",
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"□ Check for US economic releases at 8:30 AM",
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"□ Identify: Will NY continue or reverse?",
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"□ Plan entry zones for both scenarios",
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"",
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"8:00 AM EST - NY Open (Prime Time):",
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"□ Execute plan based on setup",
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"□ Take trades ONLY if setup is perfect",
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"□ Maximum 2 trades during this window",
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"□ Focus on quality over quantity",
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"",
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"11:00 AM EST - Session Wind-Down:",
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"□ Close or protect any open positions",
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"□ Move stops to break-even minimum",
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"□ Avoid new entries after 11 AM",
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"",
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"12:00 PM EST - Day Complete:",
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"□ Close all positions or trail stops",
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"□ Journal trades and setups",
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"□ No more trading for the day - walk away",
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"□ Review: What worked? What didn't?"
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],
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"max_trades": 3,
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"max_daily_loss": 250,
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"notes": [
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"🌟 SESSION TRADING WISDOM:",
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"",
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"• \"The best trades happen in the first 3 hours of London and NY sessions\"",
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"• \"Asian session is for planning, not trading (for most retail traders)\"",
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"• \"The Judas Swing is real - London often fakes a move before the real direction\"",
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"• \"When London and NY agree on direction, moves are powerful\"",
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"",
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"📊 STATISTICS (Approximate for Gold):",
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"• 60% of daily range happens during London session",
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"• 30% happens during NY session",
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"• 10% happens during Asian session",
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"• Highest probability trades: 8-10 AM EST (80%+ of best setups)",
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"",
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"⚠️ COMMON MISTAKES:",
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"• Trading too early (before 3 AM EST)",
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"• Trading too late (after 12 PM EST)",
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"• Not respecting the Judas Swing (getting trapped)",
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"• Overtrading during low-probability times",
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"• Ignoring session characteristics (trying to breakout trade in Asian session)",
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"",
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"💡 PRO TIPS:",
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"• Set alarms: 2:45 AM (London prep), 7:45 AM (NY prep)",
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"• Most profitable gold traders trade ONLY 8-11 AM EST",
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"• If you miss the killzones, skip the day (there's always tomorrow)",
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"• Friday: Close all positions by 10 AM EST, weekend risk not worth it"
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]
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}
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@staticmethod
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def get_all_plan_types() -> Dict[str, str]:
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"""Get all available plan types"""
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return {
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"ict_smc": "ICT / Smart Money Concepts",
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"wyckoff": "Wyckoff Method",
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"elliott_wave": "Elliott Wave Theory",
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"supply_demand": "Supply & Demand Zones",
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"fibonacci": "Fibonacci Trading",
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"multi_confluence": "Multi-Method Confluence",
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"session_trading": "London/NY Session Trading",
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"price_action": "Pure Price Action",
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"fundamental": "Fundamental Analysis",
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"scalping": "Scalping (1-5 min)",
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"swing": "Swing Trading (Days)",
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"position": "Position Trading (Weeks+)"
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}
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# Global instance
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plan_templates = PlanTemplates()
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