Main Page: Difference between revisions

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.

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

@@ Line 1: / Line 1: @@
 __NOTOC__
+'''Welcome to PlusEV AI Quant Trading Wiki Page'''
-'''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.
 * [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:Cheatsheet Wiki Cheatsheet]
@@ Line 15: / Line 19: @@
 * Research systems covering historical backtesting and live strategy execution
 * Quantitative frameworks focused on risk-first trading
-* Internal SOPs for experimentation, validation, and deployment
+* Internal SOPs for experimentation, validation & deployment
-* Data pipelines and analytics infrastructure
+* Data pipelines and trading infrastructure
 ----
@@ Line 25: / Line 29: @@
 {{Ownership|primary=Rikk|secondary=Pawan}}
-* [[Experimentation Framework]] — Research design & evaluation methodology
+* [[Backtesting Experimentation]] — run tests &  summary
-* [[Market Regimes]] — Market state classification & behavior
 * [[Alpha Research]] — Strategy & signal research
-* [[Failure Analysis]] — Post-analysis of drawdowns & breakdowns
+* [[Alpha Research5]] — Strategy & signal research
-* [[Backtesting SOP]] — Standard operating procedures
+* [https://drive.google.com/drive/u/1/folders/1FXAnuzzubTreS0rLYc46UjEmSgsO_k85 Market Data]
 === Products & Systems ===
 {{Ownership|primary=Pawan|secondary=Rikk}}
-==== BacktestIQ — Strategy Simulation Platform ====
+* [[BacktestIQ]] — Strategy simulation & historical evaluation platform
-''Purpose:'' Historical strategy evaluation & simulation
+* [[SignalAI]] — AI-powered, data-driven trade signal system
+* [[TradeAnalyzer]] — Risk management & performance analysis
-* '''Problem'''
+* [[StrategyLive]] — Automated strategy execution system
-  Traders develop strategies but lack visibility into how they would have performed historically, leading to uncertainty and unmanaged risk.
-* '''Solution'''
-  BacktestIQ simulates trading strategies on historical market data, enabling traders to evaluate performance across months or years before deploying real capital.
-* '''Who benefits'''
-  Traders, investors, funds, researchers validating strategy ideas prior to live implementation.
-* '''Related systems'''
-  [[Backtesting Engine]], [[Experimentation Framework]]
-----
-==== SignalAI — AI-Powered Decision Support ====
-''Purpose:'' Data-driven trade signal generation
-* '''Problem'''
-  Real-time trading decisions are often emotional and inconsistent due to cognitive overload.
-* '''Solution'''
-  SignalAI analyzes multiple market variables simultaneously to generate quantitatively backed buy/sell signals, reducing emotional bias.
-* '''Who benefits'''
-  Traders seeking systematic, rule-based decision support.
-* '''Related systems'''
-  [[Alpha Research]], [[Market Regimes]]
-----
-==== TradeAnalyzer — Risk & Performance Analysis ====
-''Purpose:'' Risk management and performance diagnostics
-* '''Problem'''
-  Poor position sizing and lack of performance analysis lead to severe drawdowns and capital erosion.
-* '''Solution'''
-  TradeAnalyzer evaluates historical trading performance and guides future position sizing and risk limits.
-* '''Who benefits'''
-  Traders aiming to improve discipline, risk control, and long-term consistency.
-* '''Related systems'''
-  [[Risk Engine]], [[Failure Analysis]]
-----
-==== StrategyLive — Automated Execution ====
-''Purpose:'' Strategy automation & live execution
-* '''Problem'''
-  Manual strategy execution is error-prone, slow, and difficult to scale.
-* '''Solution'''
-  StrategyLive automates execution of validated strategies with real-time monitoring and controls.
-* '''Who benefits'''
-  Traders seeking hands-free, rules-based strategy deployment.
-* '''Related systems'''
-  [[Live Trading System]], [[Risk Engine]]
 === Engineering ===
-* [[System Architecture]]
+{{Ownership|primary=Harshad|secondary=Pawan}}
-* [[Data Ingestion]]
-* [[Feature Engineering]]
-* [[Model Training]]
-* [[Deployment Pipelines]]
-* [[Incident Playbooks]]
-=== Data ===
-* [[Data Sources]]
-* [[Instrument Coverage]]
-* [[Data Quality Checks]]
-=== Operations ===
-* [[Compliance]]
-* [[Audit Framework]]
-* [[Incident Playbooks]]
-* [[Release Management]]
-----
+* [[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
 == Important Links ==
@@ Line 125: / Line 56: @@
 * [[Vision]]
 * [[Core Principles]]
-* [[Amazon Share Holders Letters]]
+* [[Team]]
-* [[Books]]
+* [[Resources]]
 ----
-== Reference ==
-* [[Media]]
-* [[Metrics Definitions]]
-* [[Assumptions & Constraints]]