Reorganize UI for external trading workflow with manual trade logging

- Restructure tabs to analysis-focused workflow:
  * Analysis Hub: AI analysis, risk management, manual trade logger
  * Daily Prep: Market summary, alerts, checklist, news, trading plan
  * Journal & Review: Trading journal, habit tracker, advanced analytics
  * Live Charts: Technical analysis with streaming charts

- Add ManualTradeLogger component for logging trades from MT5/TradingView/cTrader
- Remove execution-focused components (TradeControls, PortfolioTracker)
- Update XAU/USD price to realistic ,084.99
- Add indicator preferences and AI plan service
- Add comprehensive documentation on decision coverage and implementation

backend/app/schemas/schemas.py

@@ -384,3 +384,104 @@ class HabitTrackerResponse(BaseModel):
 class HabitCompletionRequest(BaseModel):
     habit_id: int
     completion_date: Optional[str] = None  # ISO date string, defaults to today
+
+
+# ============================================================================
+# INDICATOR PREFERENCES SCHEMAS
+# ============================================================================
+
+class IndicatorParameters(BaseModel):
+    """Common indicator parameters"""
+    period: Optional[int] = None
+    length: Optional[int] = None
+    multiplier: Optional[float] = None
+    # Add more as needed
+
+
+class IndicatorPreferenceCreate(BaseModel):
+    indicator_name: str = Field(..., description="Name of the indicator (SMA, EMA, RSI, etc.)")
+    enabled: bool = True
+    parameters: Optional[dict] = None
+    priority: int = Field(default=0, description="Higher priority = more important in AI analysis")
+    notes: Optional[str] = None
+
+
+class IndicatorPreferenceUpdate(BaseModel):
+    enabled: Optional[bool] = None
+    parameters: Optional[dict] = None
+    priority: Optional[int] = None
+    notes: Optional[str] = None
+
+
+class IndicatorPreferenceResponse(BaseModel):
+    id: int
+    user_id: Optional[str]
+    indicator_name: str
+    enabled: bool
+    parameters: Optional[dict]
+    priority: int
+    notes: Optional[str]
+    created_at: datetime
+    updated_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+class IndicatorPreferencesListResponse(BaseModel):
+    preferences: List[IndicatorPreferenceResponse]
+    total: int
+
+
+# ============================================================================
+# AI PLAN GENERATION SCHEMAS
+# ============================================================================
+
+class MarketBias(str, Enum):
+    BULLISH = "BULLISH"
+    BEARISH = "BEARISH"
+    NEUTRAL = "NEUTRAL"
+
+
+class AIPlanGenerationRequest(BaseModel):
+    """Request to generate an AI trading plan"""
+    current_price: float = Field(..., description="Current market price")
+    user_capital: Optional[float] = Field(None, description="User's available capital")
+    risk_tolerance: Optional[str] = Field("moderate", description="conservative, moderate, aggressive")
+    use_indicator_preferences: bool = Field(True, description="Use user's saved indicator preferences")
+    price_data: Optional[List[PriceData]] = Field(None, description="Recent price data for analysis")
+    indicators_data: Optional[dict] = Field(None, description="Current indicator values")
+
+
+class AIPlanGenerationResponse(BaseModel):
+    """AI-generated trading plan"""
+    id: int
+    plan_date: str  # ISO date
+    market_bias: MarketBias
+    confidence: float  # 0-100
+    daily_target: Optional[float]
+    max_loss: Optional[float]
+    entry_zone_min: Optional[float]
+    entry_zone_max: Optional[float]
+    target_price: Optional[float]
+    stop_loss: Optional[float]
+    support_levels: List[float]
+    resistance_levels: List[float]
+    max_trades: int
+    trading_notes: Optional[str]
+    indicators_used: List[str]
+    reasoning: Optional[str]
+    market_conditions: Optional[dict]
+    ai_model: Optional[str]
+    created_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+class AIPlanFeedback(BaseModel):
+    """User feedback on AI plan accuracy"""
+    plan_id: int
+    accepted: bool
+    modified: bool = False
+    feedback: Optional[str] = None