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=== Engineering === | === Engineering === | ||
* [[System Architecture]] | {{Ownership|primary=Harshad|secondary=Pawan}} | ||
* [[Data Ingestion]] | |||
* [[Feature Engineering]] | * [[System Architecture]] — Overall system design & component interactions | ||
* [[Model Training]] | * [[Data Ingestion]] — Market data sourcing, normalization & storage | ||
* [[Deployment Pipelines]] | * [[Feature Engineering]] — Feature creation & transformation pipelines | ||
* [[Incident Playbooks]] | * [[Model Training]] — Training workflows, validation & versioning | ||
* [[Deployment Pipelines]] — CI/CD, releases & runtime orchestration | |||
* [[Incident Playbooks]] — Operational response & recovery procedures | |||
=== Data === | === Data === | ||
Revision as of 17:23, 28 December 2025
Welcome to the PlusEV Wiki
This wiki serves as the central knowledge base for PlusEV AI Quant Trading Private Limited. It documents our research frameworks, systems, engineering, processes & operational knowledge.
Current Scope
- Research systems covering historical backtesting and live strategy execution
- Quantitative frameworks focused on risk-first trading
- Internal SOPs for experimentation, validation, and deployment
- Data pipelines and analytics infrastructure
Core Areas
Research
Ownership: Primary — Rikk · Secondary — Pawan
- Experimentation SOP — Research design & evaluation methodology
- Market Regimes — Market state classification & behavior
- Alpha Research — Strategy & signal research
- Failure Analysis — Post-analysis of drawdowns & breakdowns
Products & Systems
Ownership: Primary — Pawan · Secondary — Rikk
- BacktestIQ — Strategy simulation & historical evaluation platform
- SignalAI — AI-powered, data-driven trade signal system
- TradeAnalyzer — Risk management & performance analysis
- StrategyLive — Automated strategy execution system
Engineering
Ownership: Primary — Harshad · Secondary — Pawan
- System Architecture — Overall system design & component interactions
- Data Ingestion — Market data sourcing, normalization & storage
- Feature Engineering — Feature creation & transformation pipelines
- Model Training — Training workflows, validation & versioning
- Deployment Pipelines — CI/CD, releases & runtime orchestration
- Incident Playbooks — Operational response & recovery procedures