Jump to content

Main Page: Difference between revisions

From PlusEV Wiki Page
No edit summary
 
No edit summary
Line 1: Line 1:
<strong>MediaWiki has been installed.</strong>
= About PlusEV =


Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.
'''PlusEV AI Quant Trading Private Limited''' is a deep-tech company focused on building systematic, data-driven trading and research systems for financial markets.


== Getting started ==
The company develops end-to-end infrastructure covering historical research, strategy evaluation, risk analysis, and live execution, with a strong emphasis on repeatability, robustness, and controlled risk.
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
== What We Do ==
* [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]
PlusEV builds software systems that enable:
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
* Large-scale historical backtesting across multiple market regimes
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]
* Quantitative evaluation of trading strategies using standardized risk metrics
* Research workflows that connect data, models, and execution logic
* Continuous learning loops between research, production, and review
 
== Core Focus Areas ==
* Quantitative research and strategy development
* Market regime detection and state-based analysis
* Risk-first portfolio and trade construction
* Research-to-production system design
 
== Guiding Principles ==
* Research before deployment
* Risk awareness over raw returns
* Reproducibility and auditability of results
* Clear separation between research, validation, and execution
 
== Products & Systems ==
* [[Backtesting Engine]]
* [[Strategy Analyzer]]
* [[Live Trading System]]
* [[Risk Engine]]
 
== Who This Wiki Is For ==
This wiki is intended for:
* Internal team members (research, engineering, operations)
* Auditors and reviewers (where access is provided)
* Future collaborators and partners (select sections)
 
It serves as the single source of truth for how systems are designed, evaluated, and operated.
 
== Related Pages ==
* [[Vision and Strategy]]
* [[Experimentation Framework]]
* [[Backtesting SOP]]

Revision as of 15:00, 28 December 2025

About PlusEV

PlusEV AI Quant Trading Private Limited is a deep-tech company focused on building systematic, data-driven trading and research systems for financial markets.

The company develops end-to-end infrastructure covering historical research, strategy evaluation, risk analysis, and live execution, with a strong emphasis on repeatability, robustness, and controlled risk.

What We Do

PlusEV builds software systems that enable:

  • Large-scale historical backtesting across multiple market regimes
  • Quantitative evaluation of trading strategies using standardized risk metrics
  • Research workflows that connect data, models, and execution logic
  • Continuous learning loops between research, production, and review

Core Focus Areas

  • Quantitative research and strategy development
  • Market regime detection and state-based analysis
  • Risk-first portfolio and trade construction
  • Research-to-production system design

Guiding Principles

  • Research before deployment
  • Risk awareness over raw returns
  • Reproducibility and auditability of results
  • Clear separation between research, validation, and execution

Products & Systems

Who This Wiki Is For

This wiki is intended for:

  • Internal team members (research, engineering, operations)
  • Auditors and reviewers (where access is provided)
  • Future collaborators and partners (select sections)

It serves as the single source of truth for how systems are designed, evaluated, and operated.