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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.

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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

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Core Areas

Research

Ownership: Primary — Rikk · Secondary — Pawan

• Experimentation Framework — Research design & evaluation methodology
• Market Regimes — Market state classification & behavior
• Alpha Research — Strategy & signal research
• Failure Analysis — Post-analysis of drawdowns & breakdowns
• Backtesting SOP — Standard operating procedures

Products & Systems

Ownership: Primary — Pawan · Secondary — Rikk

BacktestIQ — Strategy Simulation Platform

Purpose: Historical strategy evaluation & simulation

• Problem

 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 and researchers validating strategy ideas prior to live implementation.

• Related systems

 Backtesting Engine, Experimentation Framework

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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

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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

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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
• 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

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Important Links

• About PlusEV
• Vision
• Core Principles
• Amazon Share Holders Letters
• Books

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Reference

• Media
• Metrics Definitions
• Assumptions & Constraints