Best Free Quant Tools for Investors

TradingView

DetailsVisit site

TradingView is a chart-first market analysis platform for traders who want powerful charts, screeners, alerts, Pine Script, paper trading, and broker-connected trading across many asset classes. It is strongest when technical analysis, custom indicators, strategy testing, watchlists, and real-time market monitoring are part of the same workflow. The free Basic plan is useful for trying the product, but active users usually run into limits on charts, indicators, alerts, watchlists, and historical bars. Some real-time exchange data is sold separately.

PortfoliosLab

DetailsVisit site

PortfoliosLab is a web-based portfolio analytics platform for backtesting, optimization, risk metrics, correlations, screeners, and AI-assisted portfolio workflows. It is useful for comparing stocks, ETFs, funds, crypto, and model portfolios, with more history, imports, exports, and MCP access gated by paid tiers.

Testfol.io

DetailsVisit site

Testfol.io is a free web-based portfolio backtesting and analysis toolkit for investors who want to test allocations, cashflows, rebalancing rules, tactical signals, leverage, correlations, and historical risk/return before moving to a spreadsheet or paid analytics suite. It is strongest for portfolio-level experimentation rather than intraday monitoring or live account management. Anonymous use is available, while a free account unlocks higher limits, cloud saves, and sign-in-gated tools. Backtests depend on historical assumptions and end-of-day data, so they are not trade execution or forward-looking guarantees.

Global Factor Data (JKP Factors)

DetailsVisit site

Global Factor Data, often called JKP Factors, is a free academic research dataset and web interface for global equity factor returns, stock characteristics, and reproducible factor-construction code based on Jensen, Kelly, and Pedersen. It is best for quants, researchers, students, and factor-investing teams that need transparent evidence on global factor performance rather than marketing claims. The data is not a live trading feed, and the license is non-commercial unless separate permission is granted.

ORTEX

DetailsVisit site

ORTEX is a market-data and analytics platform best known for short interest, securities lending, options flow, and trading-signal context. It fits active investors, analysts, and data teams that need more than a basic quote page, with deeper web-app and API access moving behind paid tiers.

Portfolio Visualizer

DetailsVisit site

Portfolio Visualizer is a web-based portfolio analysis suite for backtesting portfolios, testing asset allocations, running Monte Carlo simulations, optimizing allocations, analyzing factors, checking correlations, and researching funds. It is strongest for DIY investors, analysts, and advisors who want evidence for allocation, withdrawal, and risk decisions without building every model in spreadsheets. The free tier is useful but constrained, while Basic and Pro add larger portfolios, YTD results, saving, imports, exports, and commercial-use support on Pro. It is not a broker, live portfolio accounting system, or automatic rebalancing platform.

FinancialData.Net

DetailsVisit site

FinancialData.Net is an API-first financial data platform for developers, analysts, spreadsheet users, and AI-agent builders who want broad market data, fundamentals, ownership, options, funds, ESG, calendars, news, Excel access, and MCP connectivity from one provider. It is strongest when breadth matters: stocks, ETFs, mutual funds, options, futures, crypto, forex, commodities, OTC securities, indices, filings-related datasets, and institutional/insider activity can sit behind one REST API. Serious use is paid, and compliance/security claims should be verified directly because the local profile does not include public audit reports.

okama

DetailsVisit site

okama is a free open-source portfolio analytics toolkit with web widgets, a REST API, and a Python library for efficient frontiers, risk metrics, Monte Carlo simulations, cash-flow modeling, and historical market or macro data. It is best for technical users who want reproducible analysis rather than a consumer portfolio tracker.

QuantConnect

DetailsVisit site

QuantConnect is an algorithmic trading platform built on the open-source LEAN engine, connecting research, backtesting, cloud deployment, broker integrations, and live trading. It is built for technical Python or C# users who want multi-asset systematic trading infrastructure, not a simple retail charting app.