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DQI Testing Interface

Statistical Arbitrage Backtesting Platform

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DQI Logo

DQI Testing Interface

Statistical Arbitrage Backtesting Platform

A comprehensive framework for implementing and backtesting statistical arbitrage strategies with modular architecture and advanced analytics.

Powered by Dobby Quantitative Investments

Configuration

Configure and execute statistical arbitrage backtests with comprehensive parameter settings

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Templates

Manage and reuse saved configuration templates for efficient workflow

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Jobs

Monitor running backtests and analyze completed job results

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Dashboard

Compare and analyze backtest performance metrics across all your strategies

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About

Learn about the platform architecture and access comprehensive documentation

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DQI Logo

DQI Testing Interface

Statistical Arbitrage Strategy Configuration & Execution

Performance Dashboard

Compare and analyze your backtest strategies

Performance Analysis

Sharpe Ratio

CAGR

Max Drawdown

Risk-Return Profile

Profit Factor

Win Rate

Sortino Ratio

Calmar Ratio

Performance Metrics

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Backtesting Jobs

Monitor and manage your backtesting jobs

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Templates

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Load Template
Upload YAML
Save as Template
Validate Configuration
Preview YAML
Clear

Strategy Configuration

Number of historical days for model training

Model Configuration

Pairs Selection

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Signal Generation

Asset Allocation

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Data Filters (Optional)

Environment Configuration

Data Sources

ℹ️ Data Configuration:
Data sources are automatically configured. Use the "Refresh Data" button below to force re-download of data files for the next job.

Data Filters

Hold Ctrl/Cmd to select multiple
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Free Float >= 40%, Market Cap >= $1B

Automatic Grouping (Optional)

Generates group_map automatically based on selected columns

Capital & Currency

Cash Interest Rates (Optional)

Leverage & Margin

Transaction Costs

Testing Configuration

Sets log level to DEBUG for more detailed logging output

Monte Carlo Simulation

Leave empty to disable

Parameter Optimization (Optional)

Enable PBO (Probability of Backtest Overfitting) analysis
Only used when overfitting analysis is enabled

Parameter Space

User Settings

Storage Usage

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Notifications

You will receive an email when your backtest jobs complete or fail.
You will receive browser notifications when your backtest jobs complete, fail, or are stopped.

Change Role

Change your access level. Role changes require administrator approval. You will be notified once your request is processed.

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Select the role you want to request. Your current role is displayed above.

Change Email or Password

Changes to your email or password require administrator approval. You will be notified once your request is processed.

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Danger Zone

Request to delete your account. This action requires administrator approval and cannot be undone. All your data, jobs, and templates will be permanently deleted.

Admin Panel

Manage all users, view their data, and approve pending requests.

System Monitoring

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Pending Approvals

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All Users

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User Details

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About

Interactive Tour

Get started in minutes with our guided walkthrough

Our interactive tour will guide you through creating your first statistical arbitrage backtest. Each step highlights key features and provides context for optimal configuration.

1

Configure Your Strategy

Set up your statistical arbitrage model parameters, including pair selection, signal generation, and asset allocation methods.

2

Set Up Environment

Configure data sources, capital, transaction costs, and leverage settings for your backtest.

3

Configure Testing

Set up Monte Carlo simulations, stress testing, and parameter optimization if needed.

4

Validate & Execute

Validate your configuration, preview the YAML, and execute your backtest.

5

Monitor Results

Track your job progress, view logs in real-time, and analyze results when complete.

6

Performance Dashboard

Compare and analyze backtest performance metrics across all your strategies with interactive charts and filters.

About ArbQmdeS

Statistical Arbitrage Backtesting Platform

ArbQmdeS is a premium-grade statistical arbitrage backtesting platform engineered for institutional-quality quantitative research and systematic trading. The platform delivers sophisticated tools for designing, testing, and validating high-performance statistical arbitrage strategies through rigorous mathematical frameworks and comprehensive risk management protocols. Built with precision and reliability, ArbQmdeS empowers quantitative analysts to develop and deploy robust trading strategies with confidence.

Advanced Methodology

Implement sophisticated pair selection algorithms including distance-based, cointegration, and sparse portfolio optimization methods.

Comprehensive Testing

Perform Monte Carlo simulations, stress testing, and parameter optimization to ensure strategy robustness.

Real-time Monitoring

Track backtest execution with live logs and detailed performance metrics for thorough analysis.

Template Management

Save and reuse configurations as templates, streamlining your workflow and ensuring consistency.

About Dobby Quantitative Investments

Powered by Dobby Quantitative Investments

Dobby Quantitative Investments is a multi-strategy quantitative fund that leverages advanced mathematical models and systematic approaches to generate alpha across diverse market regimes. Our investment philosophy combines rigorous academic research with institutional-grade execution infrastructure, enabling us to deploy sophisticated trading strategies with precision and discipline. Through continuous innovation and risk management excellence, we deliver consistent risk-adjusted returns for our investors.

Investment Approach:

Multi-strategy quantitative fund employing statistical arbitrage, market making, momentum, and mean reversion strategies across equity, fixed income, and derivatives markets. Our systematic framework integrates signal generation, portfolio construction, and risk management into a cohesive investment process.

Core Competencies:

Statistical arbitrage, pairs trading, portfolio optimization, dynamic risk management, and systematic strategy development. Our team combines deep quantitative expertise with extensive market experience to identify and exploit market inefficiencies.

Technology Infrastructure:

Enterprise-grade backtesting and execution infrastructure featuring comprehensive testing frameworks, real-time monitoring capabilities, and robust risk management systems. Our technology stack enables rapid strategy development, rigorous validation, and scalable deployment across multiple markets and asset classes.

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YAML Preview


            
        
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Job Logs

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Backtest Result

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Help

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Select Template

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Job Information

Provide a name and optional description for this backtest job to help you identify it later.

If not provided, the job ID will be used as the name
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Edit Job Information

Update the name and description for this job.

If left empty, the job ID will be used as the name
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Step Interactive Tour

Welcome to DQI Testing Interface

Let's get started with your first backtest configuration.

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