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{{Ownership|primary=Rikk|secondary=Pawan}} | {{Ownership|primary=Rikk|secondary=Pawan}} | ||
* [[Backtesting Experimentation]] — | * [[Backtesting Experimentation]] — run tests & summary | ||
* [[Alpha Research]] — Strategy & signal research | * [[Alpha Research]] — Strategy & signal research | ||
* [[Alpha Research5]] — Strategy & signal research | * [[Alpha Research5]] — Strategy & signal research | ||
Revision as of 17:45, 7 January 2026
Welcome to PlusEV AI Quant Trading Wiki Page
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.
- Join Discord
- Getting Started with Python in VS Code
- Augment Code AI – How to Use Augment Code
- Git & Repository Access
- Python for Data Analysis
- Prompt Engineering Master Class by Google
- JIRA Strategy component owners
- How to add pages
- Wiki Cheatsheet
Current Scope
- Research systems covering historical backtesting and live strategy execution
- Quantitative frameworks focused on risk-first trading
- Internal SOPs for experimentation, validation & deployment
- Data pipelines and trading infrastructure
Core Areas
Research
Ownership: Primary — Rikk · Secondary — Pawan
- Backtesting Experimentation — run tests & summary
- Alpha Research — Strategy & signal research
- Alpha Research5 — Strategy & signal research
- Market Data
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