Day 24: Trading Profile Integration & AltData Traction
What I Built
- Fixed ProfileRouter initialization to include all 3 trading profiles (Momentum Crossover, Volatility Expansion, Catalyst Hunter)
- Implemented dual Decision type handling for profile_system. Decision and deciders. Decision compatibility
- Added robust column access handling for different dataframe capitalizations in indicator calculations
- Integrated AltData Traction profile with multiple alternative data sources
- Created comprehensive profile selection logic documentation
- Validated integration with full test suite (156 tests passing)
Code Highlight
The AltData Traction profile integrates multiple alternative data sources with weighted ensemble scoring:
# Profile 4: AltData Traction - Alternative Data Sources
self.signal_weights = {
"source_1": 0.30, # Primary sentiment source
"source_2": 0.25,
"source_3": 0.20,
"source_4": 0.15,
"source_5": 0.10,
}
# Decision handling for both profile types
if hasattr(decision, 'shares'):
# profile_system.Decision (traditional profiles)
shares = int(decision.shares)
else:
# deciders.Decision (AltData profile)
position_value = current_equity * decision.position_size
shares = int(position_value / decision.entry_price)
Architecture Decision
The AltData Traction profile uses a weighted ensemble of multiple alternative data sources with the primary source getting the highest weight due to its real-time nature and correlation with short-term price movements. This multi-source approach reduces false signals while maintaining sensitivity to emerging market narratives.
Testing Results
All integration tests pass with robust error handling:
- ProfileRouter initialization with 3 trading profiles
- Dual Decision type compatibility (traditional + AltData)
- Trading loop startup and signal generation
- Equity updates on simulated trades
- Column access robustness across different data formats
Next Steps
Week 6 begins with live dashboard deployment and extended paper trading validation across all 4 profiles.
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