Main Page: Difference between revisions
Plusev.blr (talk | contribs) No edit summary |
Plusev.blr (talk | contribs) No edit summary |
||
| (24 intermediate revisions by 5 users not shown) | |||
| Line 5: | Line 5: | ||
It documents our research frameworks, systems, engineering, processes & operational knowledge. | It documents our research frameworks, systems, engineering, processes & operational knowledge. | ||
* [https://canary.discord.com/channels/1230299770481016852/1230303932186886266 Join Discord] | * [https://canary.discord.com/channels/1230299770481016852/1230303932186886266 Join Discord] | ||
* [https://www.youtube.com/watch?v=D2cwvpJSBX4 Getting Started with Python in VS Code] | |||
* [https://youtu.be/p5ykYqfZYrw?si=mWpf3pgKhroZ0HsD Augment Code AI – How to Use Augment Code] | |||
* [https://youtu.be/q9wc7hUrW8U?si=ETUCOMStq1ymrtwY Git & Repository Access] | |||
* [https://docs.google.com/document/d/1Ejikw0H77ogCY86pFCP2PqvU3mgz7Yih7hKaLbl6Tag/edit?tab=t.0 Python for Data Analysis] | |||
* [https://drive.google.com/drive/u/1/folders/1j7E1myuJFP_Dh7f5xnC6c32CZtaS0sBJ Prompt Engineering Master Class by Google] | |||
* [https://plusev-team.atlassian.net/jira/software/projects/SCRUM/boards/1 JIRA Board] | |||
* [https://www.mediawiki.org/wiki/Help:Starting_a_new_page How to add pages] | * [https://www.mediawiki.org/wiki/Help:Starting_a_new_page How to add pages] | ||
* [https://www.mediawiki.org/wiki/Help:Cheatsheet Wiki Cheatsheet] | * [https://www.mediawiki.org/wiki/Help:Cheatsheet Wiki Cheatsheet] | ||
| Line 23: | Line 29: | ||
{{Ownership|primary=Rikk|secondary=Pawan}} | {{Ownership|primary=Rikk|secondary=Pawan}} | ||
* [[Experimentation | * [[Backtesting Experimentation]] — run tests & summary | ||
* [[Alpha Research]] — Strategy & signal research | * [[Alpha Research]] — Strategy & signal research | ||
* [[ | * [[Alpha Research5]] — Strategy & signal research | ||
* [https://drive.google.com/drive/u/1/folders/1FXAnuzzubTreS0rLYc46UjEmSgsO_k85 Market Data] | |||
=== Products & Systems === | === Products & Systems === | ||
| Line 45: | Line 51: | ||
* [[Deployment Pipelines]] — CI/CD, releases & runtime orchestration | * [[Deployment Pipelines]] — CI/CD, releases & runtime orchestration | ||
* [[Incident Playbooks]] — Operational response & recovery procedures | * [[Incident Playbooks]] — Operational response & recovery procedures | ||
== Important Links == | == Important Links == | ||
| Line 56: | Line 56: | ||
* [[Vision]] | * [[Vision]] | ||
* [[Core Principles]] | * [[Core Principles]] | ||
* [[ | * [[Team]] | ||
* [[ | * [[Resources]] | ||
---- | ---- | ||
Latest revision as of 04:57, 8 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 Board
- How to add pages
- Wiki Cheatsheet
Current Scope
[edit]- 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
[edit]Research
[edit]Ownership: Primary — Rikk · Secondary — Pawan
- Backtesting Experimentation — run tests & summary
- Alpha Research — Strategy & signal research
- Alpha Research5 — Strategy & signal research
- Market Data
Products & Systems
[edit]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
[edit]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