Initial release v1.1.0

- Complete MVP for tracking Fidelity brokerage account performance
- Transaction import from CSV with deduplication
- Automatic FIFO position tracking with options support
- Real-time P&L calculations with market data caching
- Dashboard with timeframe filtering (30/90/180 days, 1 year, YTD, all time)
- Docker-based deployment with PostgreSQL backend
- React/TypeScript frontend with TailwindCSS
- FastAPI backend with SQLAlchemy ORM

Features:
- Multi-account support
- Import via CSV upload or filesystem
- Open and closed position tracking
- Balance history charting
- Performance analytics and metrics
- Top trades analysis
- Responsive UI design

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

backend/app/schemas/account.py

@@ -0,0 +1,34 @@
+"""Pydantic schemas for account-related API operations."""
+from pydantic import BaseModel, Field
+from datetime import datetime
+from typing import Optional
+
+from app.models.account import AccountType
+
+
+class AccountBase(BaseModel):
+    """Base schema for account data."""
+    account_number: str = Field(..., description="Unique account identifier")
+    account_name: str = Field(..., description="Human-readable account name")
+    account_type: AccountType = Field(default=AccountType.CASH, description="Account type")
+
+
+class AccountCreate(AccountBase):
+    """Schema for creating a new account."""
+    pass
+
+
+class AccountUpdate(BaseModel):
+    """Schema for updating an existing account."""
+    account_name: Optional[str] = Field(None, description="Updated account name")
+    account_type: Optional[AccountType] = Field(None, description="Updated account type")
+
+
+class AccountResponse(AccountBase):
+    """Schema for account API responses."""
+    id: int
+    created_at: datetime
+    updated_at: datetime
+
+    class Config:
+        from_attributes = True