Day 29: Crypto Swing Trading Profile Implementation & Multi-Portfolio Architecture

• ~5 min read

What I Built

  • Crypto Swing Trading Profile extending Volatility Expansion base with 4h timeframe
  • Multi-portfolio orchestration supporting separate crypto and equity portfolios
  • Kraken broker adapter with REST/WebSocket integration and secure key management
  • Market data warehouse extensions for crypto symbols, OHLCV, and 24/7 data ingestion
  • Public portfolio tracker updates for crypto holdings and trade transparency
  • Operational monitoring with data freshness checks and symbol coverage validation

Code Highlight


# Crypto Swing Trading Profile integration
crypto_profiles = []
if self.settings.crypto_portfolio_enabled:
    crypto_profiles.append(CryptoSwingTradingProfile())

self.profile_router = ProfileRouter(
    profiles, crypto_profiles=crypto_profiles
)

Architecture Decision

Decided to extend the existing Volatility Expansion profile rather than create a new base class, ensuring code reuse while adapting to crypto's 4h timeframe and market characteristics. This maintains consistency with the modular profile architecture while supporting multi-portfolio isolation for risk management.

Testing Results

All 194 backend tests pass, including new crypto-specific tests:

  • Crypto profile signal generation and entry logic
  • Kraken adapter market data fetching and order execution
  • Multi-portfolio public API endpoints with data sanitization
  • E2E integration tests for crypto trade flows
  • Data freshness and symbol coverage health checks

Next Steps

Paper trading continuation with crypto portfolio monitoring and community engagement features.

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