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>>manually approved · 420 tools indexed·since 2026
index / best / Backtesting tools

>_ best Backtesting tools

The 21 top backtesting tools in the index, ranked by upvotes.

  1. 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.
    Multi-assetResearchFREE-$· ▲ 1
  2. 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.
    Multi-assetResearchFREE-$$$· ▲ 0
  3. 03.
    ATLAS— Runs Monte Carlo simulations across 10,000 paths to estimate the probability a stock reaches a target return within a given time horizon
  4. 04.
    Stax Labs— Builds and backtests rule-based stock strategies against historical data, then executes them via paper trading or connected brokerages
  5. 05.
    Senpi— Deploys autonomous AI trading agents on Hyperliquid with non-custodial execution and open-source skill library
    CryptoAI Agents$?· ▲ 0
  6. 06.
    Itô Research Grant— Provides free authenticated API access to prediction market data, basket analytics, and hosted backtesting infrastructure for researchers and academics.
  7. 07.
    OBaI— Multi-agent platform for stock research, strategy backtesting, and prediction market analysis using MCP servers and autonomous agents
  8. 08.
    QuantLink— Provides AI deep-research agents, institutional fundamentals, factor models, and predictive ML signals for US stocks via a unified equity terminal.
    EquitiesResearchFREE-$$$· ▲ 0
  9. 09.
    FN2— Runs autonomous AI research agents that monitor portfolios, analyze earnings transcripts, track SEC filings, and deliver scheduled briefings with citations to source data.
    EquitiesAI AgentsFREE-$$· ▲ 0
  10. 10.
    Engine— Executes trades on Hyperliquid via an AI agent that follows user-written or forked strategies, running continuously with visible decision-making.
    CryptoAI Agents$?· ▲ 0
  11. 11.
    TradesViz— Tracks and analyzes trades across stocks, futures, options, forex, and crypto with 600+ statistics, AI-powered insights, and auto-sync from 200+ brokers.
  12. 12.
    QuantBuilder— Provides a no-code platform for retail investors to build machine learning stock prediction models, run walk-forward backtests, and receive daily ranked stock picks.
    EquitiesAI Agents$-$$· ▲ 0
  13. 13.
    ChartMystic— Combines 15 smart money signals into a single live directional bias indicator for TradingView and generates PineScript strategies from natural language descriptions.
  14. 14.
    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
    EquitiesAI AgentsFREE-$$· ▲ 0
  15. 15.
    Trading Terminal— Provides multi-asset analysis tools including scanners, market replay, fundamental heatmaps, and a news feed powered by Benzinga for stocks, futures, crypto, forex, and bonds.
  16. 16.
    Flash Research— Provides gap analysis, stock scanning with real-time alerts, no-code backtesting, and 20+ years of historical US equity data with premarket and intraday statistics.
    EquitiesResearchFREE-$$$· ▲ 0
  17. 17.
    Alva— Converts investment theses and market narratives into live playbooks with backtesting, automation, data APIs, and 24/7 agent execution
    Multi-assetAI AgentsFREE-$$· ▲ 0
  18. 18.
    IVolatility— Provides institutional-grade historical and real-time options data via API, including implied volatility, Greeks, full chains, and volatility surfaces across 20+ years of equity and futures options markets.
    Multi-assetData & APIs$$-$$$$$· ▲ 0
  19. 19.
    WhaleWisdom— Tracks institutional investor 13F filings, insider transactions, 13D/13G disclosures, and mutual fund holdings with backtesting and portfolio replication tools
    EquitiesResearchFREE-$$· ▲ 0
  20. 20.
    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
  21. 21.
    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.