What is Quantpedia?

Quantpedia serves as a robust encyclopedia for algorithmic and quantitative trading strategies, leveraging academic research to create actionable trading ideas for users. Designed for traders, portfolio managers, and other finance professionals, Quantpedia offers access to a curated database of over 900 premium trading strategies, each accompanied by detailed descriptions, performance metrics, risk characteristics, and direct links to source academic papers. The platform regularly expands its collection by systematically analyzing academic publications, extracting investment insights, and translating them into practical trading methodologies.

With multiple subscription tiers, Quantpedia accommodates a wide range of user needs, from individuals seeking essential strategies and basic portfolio analysis to professionals requiring advanced portfolio construction tools, comprehensive performance reports, and exclusive access to an AI-powered quant assistant. The platform's analytic capabilities include portfolio modeling, correlation analysis, backtesting, benchmark customization, multi-factor analysis, and extensive report generation to empower informed investment decisions in equities, bonds, commodities, FX, and more.

Features

Curated Trading Strategies: Access to over 900 unique quantitative trading strategies sourced from academic research.
Regular Updates: New strategies and backtests added on a bi-weekly to monthly basis.
Comprehensive Analytics: Advanced modeling and reporting tools with 400+ charts and tables for detailed portfolio analysis.
Portfolio Modeling: Build and analyze custom multi-asset, multi-strategy portfolios, including user-uploaded equity curves.
Custom Benchmarking: Create benchmarks using ETFs, strategies, and custom equity curves.
Out-of-Sample Backtesting: Access to over 800 out-of-sample backtests with equity curves, statistics, and full Python code.
AI Chatbot: Personal quant assistant powered by AI, trained on Quantpedia’s extensive strategy database (Pro plan feature).
Flexible Subscription Tiers: Options for individuals, professionals, and advanced quants with varying feature access.
Academic Paper Integration: Direct links to 2000+ academic sources for theory validation and further research.
Multi-Asset Coverage: Strategies across equities, bonds, commodities, currencies, cryptocurrency, and more.

Use Cases

Screening and comparing quantitative trading strategies for portfolio inclusion.
Building and backtesting custom, multi-factor, multi-strategy investment portfolios.
Analyzing portfolio risk, performance correlations, and factor exposures with advanced reports.
Finding trading ideas based on the latest financial academic research.
Exploring seasonality, trend-following, and market timing approaches.
Accessing out-of-sample backtests and reviewing Python code for implementation.
Leveraging AI-assisted quantitative research and strategy selection (Pro plan only).
Uploading and analyzing investor’s own equity curves for in-depth performance evaluation.

FAQs

What is the main difference between Quantpedia Prime, Premium, and Pro plans?

Quantpedia Prime provides access to a selection of essential quantitative trading strategies and basic modeling tools, Premium unlocks the full strategy database and screener, while Pro offers advanced analytics, unrestricted portfolio modeling, numerous in-depth reports, and an AI-powered quant assistant.
How often are new strategies and reports added to the platform?

Quantpedia adds approximately 10-15 new strategies and several new reports on a monthly basis to keep the database updated and relevant.
Can users upload and analyze their own strategy equity curves?

Yes, users can upload their own equity curves for performance analysis, with restrictions on the number of uploads depending on the subscription tier.
Is there an AI-assistant available for trading strategy support?

A personal quant assistant, powered by AI and trained on Quantpedia strategy data, is available exclusively to Quantpedia Pro subscribers.
Does Quantpedia offer backtesting and implementation resources for strategies?

Yes, the platform provides out-of-sample backtests, equity curves, and full Python code for a substantial number of premium strategies.