How jennifer-214/graveyard works
This archive contains inactive projects; the available tree is concentrated on FoxML_Core, research-grade cross-sectional ML infrastructure with deterministic operation and fingerprint lineage. Its principal workflow is preparing market data, training and evaluating models, then using predictions in live trading or backtests. A dashboard exposes operational, model, and trading views, while MCP server packages provide tool interfaces. The sampled source confirms the live engine’s orchestration role and backtest integration; many other connections below reflect module responsibilities visible in the tree, not inspected call sites.
Main entry points: trading_engine.py Trading engine · orchestration Training orchestration · engine.py Backtesting · MCP_SERVERS MCP tools
Components 25
Data preparation
- Configuration
FoxML_Core/CONFIG - Feature processing
FoxML_Core/DATA_PROCESSING/features - Target generation
FoxML_Core/DATA_PROCESSING/targets - Barrier pipeline
FoxML_Core/DATA_PROCESSING/pipeline/barrier_pipeline.py
Model research
- Data loading
FoxML_Core/TRAINING/data/loading - Preprocessing
FoxML_Core/TRAINING/data/preprocessing - Training orchestration
FoxML_Core/TRAINING/orchestration - Model training
FoxML_Core/TRAINING/model_fun - Feature ranking
FoxML_Core/TRAINING/ranking - Research decisions
FoxML_Core/TRAINING/decisioning/decision_engine.py - Run lineage
FoxML_Core/TRAINING/orchestration/utils
Trading runtime
- Trading engine
FoxML_Core/LIVE_TRADING/engine/trading_engine.py - Prediction
FoxML_Core/LIVE_TRADING/prediction - Trade gating
FoxML_Core/LIVE_TRADING/gating - Sizing and risk
FoxML_Core/LIVE_TRADING/sizing - Broker adapters
FoxML_Core/LIVE_TRADING/brokers - Market data
FoxML_Core/LIVE_TRADING/data - Backtesting
FoxML_Core/LIVE_TRADING/backtest/engine.py
User interfaces
- Operations dashboard
FoxML_Core/DASHBOARD/dashboard/src - Dashboard bridge
FoxML_Core/DASHBOARD/bridge
Tool services
- MCP tools
FoxML_Core/MCP_SERVERS - Artifact tools
FoxML_Core/MCP_SERVERS/foxml_artifact - Config tools
FoxML_Core/MCP_SERVERS/foxml_config
Other components
- Researcher / operator
- Market / broker services
Connections 25
- Researcher / operator → Configuration: sets options
- Data loading → Preprocessing: prepares data
- Preprocessing → Training orchestration: supplies inputs
- Training orchestration → Model training: orchestrates training
- Training orchestration → Feature ranking: coordinates selection
- Training orchestration → Run lineage: records provenance
- Training orchestration → Research decisions: supports decisions
- Researcher / operator → Barrier pipeline: starts processing
- Barrier pipeline → Target generation: generates labels
- Feature processing → Training orchestration: provides features
- Trading engine → Prediction: coordinates prediction
- Trading engine → Trade gating: coordinates gating
- Trading engine → Sizing and risk: coordinates sizing
- Trading engine → Market data: obtains market data
- Trading engine → Broker adapters: executes trades
- Market / broker services → Market data: supplies quotes
- Broker adapters → Market / broker services: submits orders
- Backtesting → Trading engine: runs cycles
- Backtesting → Market data: loads history
- Backtesting → Broker adapters: simulates execution
- Researcher / operator → Operations dashboard: monitors runtime
- Operations dashboard → Dashboard bridge: requests live data
- Researcher / operator → MCP tools: invokes tools
- MCP tools → Artifact tools: dispatches artifact tools
- MCP tools → Config tools: dispatches config tools