>_ best Free Backtesting tools
The 14 top free backtesting tools in the index, ranked by upvotes.
- 01.TradeOdds— Analyzes historical patterns by matching current market conditions against 30+ years of data across 2,000+ stocks, ETFs, and crypto to calculate base rates for specific moves.
- 02.TradingView— Provides charting, screening, alerts, backtesting, and social trading features across stocks, crypto, forex, futures, and commodities with 100+ community indicators and broker integrations.
- 03.ATLAS— Runs Monte Carlo simulations across 10,000 paths to estimate the probability a stock reaches a target return within a given time horizon
- 04.Itô Research Grant— Provides free authenticated API access to prediction market data, basket analytics, and hosted backtesting infrastructure for researchers and academics.
- 05.OBaI— Multi-agent platform for stock research, strategy backtesting, and prediction market analysis using MCP servers and autonomous agents
- 06.QuantLink— Provides AI deep-research agents, institutional fundamentals, factor models, and predictive ML signals for US stocks via a unified equity terminal.
- 07.FN2— Runs autonomous AI research agents that monitor portfolios, analyze earnings transcripts, track SEC filings, and deliver scheduled briefings with citations to source data.
- 08.TradesViz— Tracks and analyzes trades across stocks, futures, options, forex, and crypto with 600+ statistics, AI-powered insights, and auto-sync from 200+ brokers.
- 09.NexusTrade— Builds, backtests, and deploys algorithmic trading strategies using an AI agent that researches markets, generates strategies from natural language prompts, and executes trades via broker integrations
- 10.Flash Research— Provides gap analysis, stock scanning with real-time alerts, no-code backtesting, and 20+ years of historical US equity data with premarket and intraday statistics.
- 11.Alva— Converts investment theses and market narratives into live playbooks with backtesting, automation, data APIs, and 24/7 agent execution
- 12.WhaleWisdom— Tracks institutional investor 13F filings, insider transactions, 13D/13G disclosures, and mutual fund holdings with backtesting and portfolio replication tools
- 13.How Many Trades— Calculates the minimum number of trades required to validate a trading strategy's statistical significance based on win rate and risk-reward ratio
- 14.Kwants— Provides a self-hosted Python library for downloading Polygon flat-file data, building point-in-time ticker universes with adjustments, and running backtests against 1m/5m/daily bars using a declarative DSL for entry/exit conditions.
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