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robinhood/backend/app/services/trading_schools.py
T
Krikorios 48e60d015f feat: Add Phase 4 advanced metrics and components 
- 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
2025-11-27 10:23:58 +02:00

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"""
Trading Schools & Methodologies
Comprehensive collection of trading approaches combining different schools of thought
"""
from typing import Dict, List, Any
from enum import Enum
class TradingSchool(str, Enum):
"""Major trading methodologies and schools"""
ICT = "ict" # Inner Circle Trader / Smart Money Concepts
WYCKOFF = "wyckoff" # Wyckoff Method
ELLIOTT_WAVE = "elliott_wave" # Elliott Wave Theory
MARKET_PROFILE = "market_profile" # Market Profile / Volume Profile
ORDER_FLOW = "order_flow" # Order Flow / Footprint
PRICE_ACTION = "price_action" # Pure Price Action
TECHNICAL_ANALYSIS = "technical_analysis" # Classical Technical Analysis
SUPPLY_DEMAND = "supply_demand" # Supply & Demand Zones
FIBONACCI = "fibonacci" # Fibonacci-based Trading
FUNDAMENTAL = "fundamental" # Fundamental Analysis for Gold
SENTIMENT = "sentiment" # Market Sentiment Analysis
SEASONAL = "seasonal" # Seasonal Patterns
INTERMARKET = "intermarket" # Intermarket Analysis
class TradingStrategy:
"""Base class for trading strategies"""
@staticmethod
def get_all_schools() -> Dict[str, Dict[str, Any]]:
"""Get comprehensive information about all trading schools"""
return {
"ict_smc": {
"name": "ICT / Smart Money Concepts",
"school": TradingSchool.ICT,
"description": "Inner Circle Trader methodology focusing on institutional order flow, liquidity sweeps, and market structure",
"key_concepts": [
"Order Blocks (OB)",
"Fair Value Gaps (FVG/Imbalance)",
"Liquidity Voids",
"Break of Structure (BOS)",
"Change of Character (ChoCh)",
"Displacement",
"Premium/Discount Zones",
"London/NY Killzones",
"Judas Swing",
"Optimal Trade Entry (OTE 0.618-0.79)",
"Stop Hunt/Liquidity Grab",
"Market Maker Model (Accumulation, Manipulation, Distribution)"
],
"timeframes": ["5m", "15m", "1h", "4h", "1D"],
"indicators": [], # Pure price action, minimal indicators
"best_for": ["Day trading", "Swing trading", "Gold/Forex"],
"sessions": ["London (3-5 AM EST)", "NY (8-11 AM EST)"],
"entry_criteria": [
"Identify market structure (bullish/bearish)",
"Wait for BOS or ChoCh",
"Find FVG or Order Block",
"Look for liquidity sweep",
"Enter on retracement to OTE (0.618-0.79 Fib)",
"Target opposite liquidity"
],
"risk_management": {
"stop_loss": "Above/below order block or FVG",
"take_profit": "Opposite side liquidity, FVG, or major structure",
"rr_ratio": "Minimum 1:2, typically 1:3+"
}
},
"wyckoff": {
"name": "Wyckoff Method",
"school": TradingSchool.WYCKOFF,
"description": "Volume-based methodology analyzing accumulation, distribution, and composite operator behavior",
"key_concepts": [
"Accumulation (Spring, Backup, SOS)",
"Distribution (UTAD, SOW)",
"Re-accumulation",
"Re-distribution",
"Cause and Effect",
"Effort vs Result",
"Composite Man/Operator",
"Three Laws (Supply/Demand, Cause/Effect, Effort/Result)",
"Volume Spread Analysis (VSA)",
"Schematic Patterns (AR, ST, Creek, Spring)"
],
"timeframes": ["4h", "1D", "1W"],
"indicators": ["Volume", "Volume Profile", "OBV"],
"best_for": ["Position trading", "Swing trading"],
"phases": ["Accumulation Phase", "Markup Phase", "Distribution Phase", "Markdown Phase"],
"entry_criteria": [
"Identify current phase",
"Wait for spring (accumulation) or upthrust (distribution)",
"Confirm with volume",
"Enter on Sign of Strength (SOS) or Last Point of Support (LPS)",
"Target: Measured move based on trading range"
],
"risk_management": {
"stop_loss": "Below spring or support area",
"take_profit": "Measured move from accumulation range",
"rr_ratio": "Minimum 1:2"
}
},
"elliott_wave": {
"name": "Elliott Wave Theory",
"school": TradingSchool.ELLIOTT_WAVE,
"description": "Fractal pattern analysis based on wave structures and Fibonacci relationships",
"key_concepts": [
"Impulse Waves (1-2-3-4-5)",
"Corrective Waves (A-B-C)",
"Wave Degrees (Grand Super Cycle to Sub-Minuette)",
"Fibonacci Extensions (1.618, 2.618)",
"Fibonacci Retracements (0.382, 0.5, 0.618)",
"Wave Personality (Wave 3 strongest)",
"Alternation Principle",
"Channeling Techniques",
"Wave Equality",
"Ending Diagonals",
"Leading Diagonals"
],
"timeframes": ["1h", "4h", "1D", "1W"],
"indicators": ["Fibonacci", "EMA", "RSI for divergence"],
"best_for": ["Swing trading", "Position trading"],
"entry_criteria": [
"Identify current wave structure",
"Enter at wave 2 or 4 retracement (0.618)",
"Enter at wave C completion (corrective)",
"Confirm with volume and momentum",
"Target: Wave 3 = 1.618x Wave 1, Wave 5 = Wave 1"
],
"risk_management": {
"stop_loss": "Below wave 1 start or key Fibonacci level",
"take_profit": "Fibonacci extensions (1.618, 2.618)",
"rr_ratio": "Minimum 1:3"
}
},
"market_profile": {
"name": "Market Profile / Volume Profile",
"school": TradingSchool.MARKET_PROFILE,
"description": "Time and volume-based analysis identifying value areas and market acceptance",
"key_concepts": [
"Point of Control (POC)",
"Value Area (VA)",
"Value Area High (VAH)",
"Value Area Low (VAL)",
"Initial Balance (IB)",
"TPO (Time Price Opportunity)",
"High Volume Nodes (HVN)",
"Low Volume Nodes (LVN)",
"Excess",
"Poor Highs/Lows",
"Single Prints",
"Profiles (P-shaped, b-shaped, D-shaped)"
],
"timeframes": ["30m", "1h", "1D"],
"indicators": ["Volume Profile", "VWAP", "Volume"],
"best_for": ["Day trading", "Swing trading"],
"entry_criteria": [
"Identify POC and Value Area",
"Enter at Value Area extremes (VAL/VAH)",
"Trade rejections from LVN",
"Target: Opposite side of value area or POC",
"Look for acceptance/rejection at key levels"
],
"risk_management": {
"stop_loss": "Beyond value area or single prints",
"take_profit": "POC, opposite VA extreme, or LVN",
"rr_ratio": "Minimum 1:2"
}
},
"order_flow": {
"name": "Order Flow Trading",
"school": TradingSchool.ORDER_FLOW,
"description": "Real-time bid/ask analysis, footprint charts, and institutional order detection",
"key_concepts": [
"Delta (Buy - Sell volume)",
"Cumulative Delta",
"Volume Imbalance",
"Absorption",
"Stacked Imbalances",
"Exhaustion",
"Iceberg Orders",
"Tape Reading",
"Bid/Ask Ladder",
"Footprint Charts",
"Volume Clusters",
"Unfinished Business"
],
"timeframes": ["1m", "5m", "15m"],
"indicators": ["Delta", "Volume Profile", "Cumulative Delta"],
"best_for": ["Scalping", "Day trading"],
"entry_criteria": [
"Identify delta divergence",
"Look for absorption at key levels",
"Watch for stacked imbalances",
"Enter on confirmation of institutional flow",
"Target: Next volume cluster or imbalance"
],
"risk_management": {
"stop_loss": "Tight stops beyond absorption zone",
"take_profit": "Volume imbalance fill or delta reversal",
"rr_ratio": "Minimum 1:1.5 (high win rate strategy)"
}
},
"price_action": {
"name": "Pure Price Action",
"school": TradingSchool.PRICE_ACTION,
"description": "Trading based solely on candlestick patterns, support/resistance, and market structure",
"key_concepts": [
"Support and Resistance",
"Trend Lines",
"Horizontal Levels",
"Higher Highs / Higher Lows (HH/HL)",
"Lower Highs / Lower Lows (LH/LL)",
"Pin Bars",
"Inside Bars",
"Outside Bars",
"Engulfing Patterns",
"Double Tops/Bottoms",
"Head & Shoulders",
"Triangles, Flags, Pennants",
"Break and Retest"
],
"timeframes": ["15m", "1h", "4h", "1D"],
"indicators": [], # None, pure price action
"best_for": ["All trading styles"],
"entry_criteria": [
"Identify trend and structure",
"Wait for pattern formation at key level",
"Enter on confirmation candle",
"Target: Next major S/R level",
"Look for confluence of multiple factors"
],
"risk_management": {
"stop_loss": "Beyond pattern or S/R level",
"take_profit": "Risk-reward based on structure",
"rr_ratio": "Minimum 1:2"
}
},
"supply_demand": {
"name": "Supply & Demand Zones",
"school": TradingSchool.SUPPLY_DEMAND,
"description": "Zone-based trading focusing on areas of institutional activity and imbalance",
"key_concepts": [
"Demand Zones (buying pressure)",
"Supply Zones (selling pressure)",
"Fresh Zones (untested)",
"Tested Zones (touched once)",
"Rally-Base-Rally (RBR)",
"Drop-Base-Drop (DBD)",
"Rally-Base-Drop (RBD)",
"Drop-Base-Rally (DBR)",
"Flip Zones (S/D conversion)",
"Strong Zones (sharp moves)",
"Weak Zones (slow consolidation)"
],
"timeframes": ["15m", "1h", "4h", "1D"],
"indicators": ["Minimal - sometimes volume"],
"best_for": ["Day trading", "Swing trading"],
"entry_criteria": [
"Identify fresh demand/supply zones",
"Wait for price to return to zone",
"Enter on confirmation (pin bar, engulfing)",
"Target: Opposite supply/demand zone",
"Use limit orders in zone"
],
"risk_management": {
"stop_loss": "Beyond zone (few pips/points)",
"take_profit": "Next major zone or measured move",
"rr_ratio": "Minimum 1:3"
}
},
"fibonacci_trading": {
"name": "Fibonacci-Based Trading",
"school": TradingSchool.FIBONACCI,
"description": "Trading using Fibonacci ratios for retracements, extensions, and time analysis",
"key_concepts": [
"Fibonacci Retracement (0.236, 0.382, 0.5, 0.618, 0.786)",
"Fibonacci Extension (1.272, 1.414, 1.618, 2.618)",
"Fibonacci Fans",
"Fibonacci Arcs",
"Fibonacci Time Zones",
"Golden Ratio (1.618)",
"Confluence Zones",
"AB=CD Pattern",
"Gartley Patterns",
"Harmonic Patterns (Bat, Butterfly, Crab)"
],
"timeframes": ["1h", "4h", "1D"],
"indicators": ["Fibonacci tools", "RSI for confirmation"],
"best_for": ["Swing trading", "Position trading"],
"entry_criteria": [
"Identify completed impulse move",
"Draw Fibonacci from swing low to swing high (or vice versa)",
"Wait for retracement to 0.618 or 0.786",
"Confirm with candlestick pattern or indicator",
"Target: Fibonacci extensions (1.618, 2.618)"
],
"risk_management": {
"stop_loss": "Beyond 0.786 or 1.0 level",
"take_profit": "Fibonacci extensions",
"rr_ratio": "Minimum 1:2"
}
},
"gold_fundamental": {
"name": "Gold Fundamental Analysis",
"school": TradingSchool.FUNDAMENTAL,
"description": "Trading gold based on macroeconomic factors and fundamental drivers",
"key_concepts": [
"US Dollar Strength (DXY inverse correlation)",
"Real Interest Rates (negative = bullish gold)",
"Inflation (CPI, PCE)",
"Fed Policy (rate decisions, QE/QT)",
"Geopolitical Tensions (safe haven)",
"Central Bank Buying",
"Bond Yields (10-year Treasury)",
"Risk Sentiment (VIX, SPX correlation)",
"Physical Demand (jewelry, industrial)",
"Gold ETF Flows (GLD, IAU)",
"Mining Production",
"Seasonal Patterns (Indian wedding season)"
],
"timeframes": ["1D", "1W", "1M"],
"indicators": ["DXY", "10Y Yield", "VIX", "Correlation analysis"],
"best_for": ["Position trading", "Long-term investing"],
"entry_criteria": [
"Analyze macroeconomic backdrop",
"USD weakness = gold strength",
"Rising inflation + dovish Fed = bullish",
"Geopolitical crisis = safe haven bid",
"Technical confirmation on daily/weekly"
],
"risk_management": {
"stop_loss": "Based on technical structure",
"take_profit": "Major psychological levels ($2000, $2100, etc.)",
"rr_ratio": "Variable, often 1:3+"
}
},
"multi_timeframe": {
"name": "Multi-Timeframe Analysis",
"school": TradingSchool.TECHNICAL_ANALYSIS,
"description": "Top-down analysis using multiple timeframes for confluence",
"key_concepts": [
"Top-Down Approach (Monthly → Weekly → Daily → 4H → 1H)",
"Timeframe Confluence",
"Higher TF Trend",
"Lower TF Entry",
"Trend Alignment",
"S/R Level Confluence",
"3 Timeframe Rule",
"Risk-On/Risk-Off Daily",
"Bias from HTF, Entry from LTF"
],
"timeframes": ["1M", "1W", "1D", "4H", "1H", "15M"],
"indicators": ["EMA 21/55/200", "RSI", "MACD"],
"best_for": ["All trading styles"],
"entry_criteria": [
"Identify HTF trend (Daily/Weekly)",
"Find HTF S/R levels",
"Wait for retracement on MTF",
"Enter on LTF confirmation",
"All timeframes aligned"
],
"risk_management": {
"stop_loss": "Based on LTF structure",
"take_profit": "HTF targets",
"rr_ratio": "Minimum 1:3"
}
},
"london_ny_session": {
"name": "London/NY Session Trading",
"school": TradingSchool.ICT,
"description": "Trading based on major forex session characteristics and time-based patterns",
"key_concepts": [
"Asian Session (Low Volatility, Range)",
"London Open (3 AM EST - High Volatility)",
"London Killzone (2-5 AM EST)",
"NY Open (8 AM EST - Highest Volatility)",
"NY Killzone (8-11 AM EST)",
"London/NY Overlap (8 AM-12 PM EST)",
"Judas Swing (False move before real direction)",
"London Close (12 PM EST)",
"Asian Range Breakout",
"Time-Based Entries"
],
"timeframes": ["5m", "15m", "1h"],
"indicators": ["Minimal - ATR for volatility"],
"best_for": ["Day trading gold/forex"],
"entry_criteria": [
"Identify Asian range",
"Watch for London open breakout",
"Fade false move (Judas Swing)",
"Enter on true direction confirmation",
"Most activity in London/NY killzones"
],
"risk_management": {
"stop_loss": "Opposite side of range or FVG",
"take_profit": "Intraday targets, session highs/lows",
"rr_ratio": "Minimum 1:2"
}
}
}
@staticmethod
def get_combined_strategies() -> Dict[str, Dict[str, Any]]:
"""Get hybrid strategies combining multiple schools"""
return {
"smc_fibonacci": {
"name": "SMC + Fibonacci Confluence",
"schools": [TradingSchool.ICT, TradingSchool.FIBONACCI],
"description": "Combine Smart Money Concepts with Fibonacci for high-probability entries",
"setup": [
"1. Identify market structure (BOS/ChoCh) using SMC",
"2. Mark FVG and Order Blocks",
"3. Draw Fibonacci from last swing low to swing high",
"4. Look for confluence: FVG/OB + 0.618/0.79 Fib level",
"5. Enter at confluence zone during killzone",
"6. Target: Opposite liquidity + Fib extension"
],
"indicators": [],
"timeframes": ["15m", "1h", "4h"],
"win_rate": "65-75%",
"rr_ratio": "1:3"
},
"wyckoff_vsa": {
"name": "Wyckoff + Volume Spread Analysis",
"schools": [TradingSchool.WYCKOFF, TradingSchool.ORDER_FLOW],
"description": "Combine Wyckoff accumulation/distribution with volume analysis",
"setup": [
"1. Identify Wyckoff phase (Accumulation/Distribution)",
"2. Look for spring or upthrust",
"3. Confirm with volume: High volume on spring = bullish",
"4. Check for effort vs result divergence",
"5. Enter on LPS (Last Point of Support) or LPSY",
"6. Target: Measured move from trading range"
],
"indicators": ["Volume", "Volume Profile", "OBV"],
"timeframes": ["4h", "1D"],
"win_rate": "60-70%",
"rr_ratio": "1:3"
},
"elliott_fibonacci": {
"name": "Elliott Wave + Fibonacci",
"schools": [TradingSchool.ELLIOTT_WAVE, TradingSchool.FIBONACCI],
"description": "Natural combination - Elliott Wave theory is based on Fibonacci",
"setup": [
"1. Count wave structure (Impulse 1-2-3-4-5)",
"2. Wait for Wave 2 or 4 correction",
"3. Fib retracement: Wave 2 = 0.618, Wave 4 = 0.382",
"4. Enter at Fib level with confirmation",
"5. Target: Wave 3 = 1.618x Wave 1, Wave 5 = Wave 1",
"6. Use Fib extensions for profit targets"
],
"indicators": ["Fibonacci", "EMA 21/55", "RSI"],
"timeframes": ["1h", "4h", "1D"],
"win_rate": "60-70%",
"rr_ratio": "1:3"
},
"supply_demand_session": {
"name": "Supply/Demand + Session Trading",
"schools": [TradingSchool.SUPPLY_DEMAND, TradingSchool.ICT],
"description": "Trade fresh S/D zones during high-liquidity sessions",
"setup": [
"1. Mark fresh supply/demand zones on 4H/1D",
"2. Wait for price to approach zone during killzone",
"3. Enter on confirmation in London/NY session",
"4. Higher probability during high-volume periods",
"5. Target: Opposite zone or session high/low"
],
"indicators": ["Volume", "ATR"],
"timeframes": ["15m", "1h", "4h"],
"win_rate": "65-75%",
"rr_ratio": "1:3"
},
"multi_method_confluence": {
"name": "Multi-Method Confluence",
"schools": [TradingSchool.ICT, TradingSchool.FIBONACCI, TradingSchool.SUPPLY_DEMAND, TradingSchool.PRICE_ACTION],
"description": "Ultimate confluence: Multiple methodologies confirming same zone",
"setup": [
"1. Identify trend and structure (Price Action)",
"2. Mark Supply/Demand zones",
"3. Draw Fibonacci retracements",
"4. Identify FVG and Order Blocks (SMC)",
"5. Find confluence: All methods pointing to same zone",
"6. Enter only at maximum confluence during killzone",
"7. Target: Multiple method targets"
],
"indicators": [],
"timeframes": ["15m", "1h", "4h"],
"win_rate": "70-80%",
"rr_ratio": "1:3+",
"difficulty": "Advanced"
},
"fundamental_technical": {
"name": "Fundamental + Technical Combo",
"schools": [TradingSchool.FUNDAMENTAL, TradingSchool.TECHNICAL_ANALYSIS],
"description": "Use fundamentals for bias, technicals for entry/exit",
"setup": [
"1. Analyze gold fundamentals (USD, rates, geopolitics)",
"2. Determine fundamental bias (bullish/bearish)",
"3. Wait for technical setup aligned with bias",
"4. Use SMC, S/D, or Fibonacci for precise entry",
"5. Enter with fundamental and technical confluence",
"6. Hold longer-term positions"
],
"indicators": ["DXY", "10Y Yield", "EMA 50/200", "RSI"],
"timeframes": ["1D", "1W"],
"win_rate": "65-75%",
"rr_ratio": "1:4+",
"holding_period": "Days to weeks"
}
}
@staticmethod
def get_indicator_presets_for_school(school: TradingSchool) -> Dict[str, Any]:
"""Get recommended indicators for each trading school"""
presets = {
TradingSchool.ICT: {
"indicators": [], # Pure price action
"tools": ["Market Structure", "FVG Finder", "Order Block Detector"],
"note": "ICT/SMC uses minimal to no indicators"
},
TradingSchool.WYCKOFF: {
"indicators": ["Volume", "OBV", "Volume Profile"],
"tools": ["Volume Spread Analysis"],
"note": "Volume is critical for Wyckoff"
},
TradingSchool.ELLIOTT_WAVE: {
"indicators": ["Fibonacci", "EMA 21", "EMA 55", "RSI"],
"tools": ["Wave Counter", "Fibonacci Extensions"],
"note": "Fibonacci is integral to Elliott Wave"
},
TradingSchool.MARKET_PROFILE: {
"indicators": ["Volume Profile", "VWAP", "Volume"],
"tools": ["TPO Chart", "Value Area Calculation"],
"note": "Time and volume distribution is key"
},
TradingSchool.ORDER_FLOW: {
"indicators": ["Delta", "Cumulative Delta", "Volume"],
"tools": ["Footprint Chart", "Bid/Ask Ladder", "Order Book"],
"note": "Requires specialized order flow tools"
},
TradingSchool.PRICE_ACTION: {
"indicators": [], # Minimal
"tools": ["Candlestick Patterns", "S/R Levels", "Trend Lines"],
"note": "Pure price action, no indicators"
},
TradingSchool.SUPPLY_DEMAND: {
"indicators": ["Volume (optional)"],
"tools": ["Zone Drawer", "Base Identifier"],
"note": "Zones are key, indicators optional"
},
TradingSchool.FIBONACCI: {
"indicators": ["Fibonacci Retracement", "Fibonacci Extension", "RSI", "MACD"],
"tools": ["Fib Tools", "Harmonic Pattern Scanner"],
"note": "Fibonacci levels are primary tool"
},
TradingSchool.FUNDAMENTAL: {
"indicators": ["DXY", "10Y Yield", "VIX", "Correlation Heatmap"],
"tools": ["Economic Calendar", "Central Bank Tracker"],
"note": "Macro analysis is primary, technicals for timing"
},
TradingSchool.TECHNICAL_ANALYSIS: {
"indicators": ["EMA 21/55/200", "RSI 14", "MACD", "BB 20", "ATR 14"],
"tools": ["Multi-Timeframe Analysis"],
"note": "Classic indicator suite"
}
}
return presets.get(school, {})
@staticmethod
def get_risk_models() -> Dict[str, Dict[str, Any]]:
"""Advanced risk management models"""
return {
"kelly_criterion": {
"name": "Kelly Criterion Position Sizing",
"formula": "f* = (bp - q) / b",
"variables": {
"f*": "Fraction of capital to risk",
"b": "Odds received (reward:risk ratio - 1)",
"p": "Probability of winning",
"q": "Probability of losing (1 - p)"
},
"example": {
"win_rate": 0.60,
"rr_ratio": 2.0,
"calculation": "f* = (2 * 0.60 - 0.40) / 2 = 0.40 or 40%",
"recommended": "Use half-Kelly (20%) for safety"
},
"best_for": "High win rate, consistent strategies"
},
"fixed_fractional": {
"name": "Fixed Fractional Risk",
"description": "Risk fixed percentage of capital per trade",
"recommended": {
"conservative": "1-2% per trade",
"moderate": "2-3% per trade",
"aggressive": "3-5% per trade"
},
"best_for": "All traders, most reliable method"
},
"volatility_based": {
"name": "ATR-Based Position Sizing",
"description": "Adjust position size based on market volatility",
"formula": "Position Size = (Account Risk $) / (ATR * Multiplier)",
"example": {
"account": 100000,
"risk_pct": 0.02,
"atr": 15.0,
"multiplier": 1.5,
"position_size": "(100000 * 0.02) / (15 * 1.5) = 88.89 units"
},
"best_for": "Volatility-sensitive strategies"
},
"time_based": {
"name": "Time-Based Risk Adjustment",
"description": "Reduce risk during low liquidity or high event risk",
"rules": {
"normal_hours": "Full position size",
"low_liquidity": "50% position size",
"news_events": "25% position size or avoid",
"weekend_gaps": "Reduced or no overnight positions"
},
"best_for": "Day traders, news-sensitive markets"
},
"correlation_based": {
"name": "Correlation-Adjusted Risk",
"description": "Account for correlated positions",
"rules": {
"uncorrelated": "Full risk per position",
"low_correlation": "75% risk adjustment",
"high_correlation": "50% risk adjustment",
"perfect_correlation": "Count as one position"
},
"example": "Gold + Silver high correlation → reduce combined risk",
"best_for": "Multi-asset traders"
}
}
# Global instance
trading_schools = TradingStrategy()
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