Best backtesting platforms in 2026, ranked for retail investors
Updated September 2026 · Published by QuantGPT, one of the seven platforms ranked here
// THE SHORT VERSION
This ranking is for a retail investor: you invest your own money in US stocks and ETFs, you do not write code, and you want to test an idea on many years of history before you risk money, starting free or cheap.
Five platforms let you build and check your own rules without code, so they come first, ordered by four points: a free start, the entry price, stock history and bias controls. QuantConnect and TradingView need code and follow. QuantGPT publishes this page and ranks third by the same rules. If you write Python or C#, QuantConnect scores highest on the four points and belongs at the top of your list.
Facts about the other six come from their own public pages and docs, read in September 2026 and linked under each section. We did not run one standard test on all seven: this compares what each company publishes about code, data, AI and price.
// THE RANKING · SEPTEMBER 2026
| # | Platform | Code required | History depth | AI integration | Starting price |
|---|---|---|---|---|---|
| Build and check your own rules without code | |||||
| 1 | Composer | No: a no-code editor, or describe it to the AI | As far back as each ticker goes; the newest ticker in a strategy sets the start | Trade with AI builds and edits strategies from a chat | $0 Starter with unlimited backtests; Advanced $10 a month |
| 2 | Portfolio123 | No: spreadsheet-like formulas with pre-built factors | 5 to 20 years of point-in-time stock data, by plan; US, Canada and Europe | AI Factor: machine learning without code (Portfolio and Ultimate plans) | 30 days free; Screener $35 a month |
| 3 | QuantGPTPublisher of this page | No: plain English through your AI, or one click from the library | Decades of US market history; market-wide tests leave out companies that later delisted | MCP server for Claude, ChatGPT and other clients; Ask AI on your own model key | Free: 5 backtests and 5 AI calls, no card; QuantGPT $49 a month |
| 4 | TrendSpider | No: point-and-click Strategy Tester | 50+ years stored; one run capped at 2K to 30K candles, by plan | Sidekick assistant (25 messages a month) and ML Quant Lab | 14-day trial from $19; Standard $49.68 a month in a September 2026 sale (list $82) |
| 5 | StrategyQuant X | No: point and click; it writes the strategy code | Forex, CFD and crypto tick data, 10+ years, free; stocks and futures are a paid add-on | Machine learning and genetic programming build strategies; Q AI chat on credits | 14-day free trial; Starter $1,290 once or $129 a month for 12 months |
| These two need code | |||||
| 6 | QuantConnect | Yes: Python or C# (its AI agent Mia can write it) | US stocks from January 1998, delisted companies included; tick to daily | Mia writes and runs code; MCP server for Claude Code, Copilot, Cursor and Devin Desktop | Free plan with unlimited backtests; Researcher recommended setup $84 a month |
| 7 | TradingView | Yes: Pine Script for your own strategies | Daily charts: all available history; intraday: 5K to 40K bars by plan; Deep Backtesting on Premium and up | MCP server in public beta (no backtest tool listed); AI screener on paid plans | Basic free; Essential $12.95 a month billed annually |
No code means you can build and check your own rules without writing or reading code. The points behind the order, and what each one means, are under Methodology.
// 1 · COMPOSER
Fits best: investors who want to build automated stock and ETF strategies without code and have the platform place the trades.
PROS
- No code: build in the no-code editor, or describe an idea to Trade with AI and edit what it builds.
- Unlimited backtests on the free Starter plan. Advanced is $10 a month and Pro $32 a month billed yearly.
- Backtests include 1 basis point of slippage by default (adjustable) and regulatory fees, and reinvest dividends.
- Execution built in: Composer places the trades and rebalances during a set daily trading period, and brokerage services come from Composer Securities LLC, a FINRA and SIPC member.
- More than 2,000 community-built strategies to browse, copy and remix.
CONS
- A backtest can only start once the newest ticker in the strategy existed. Composer's own guide notes that many strategies only reach back to 2022 because of volatility ETFs such as UVIX and SVIX, and that many TQQQ strategies stop at 2010.
- Its AI can browse top performers from the community.
- Its own guide warns that overfit strategies can post misleading backtests.
- Automating a strategy means trading through Composer's brokerage, with trades placed in one daily trading period.
Sources, checked 2026-09-27: composer.trade · pricing · Trade with AI · backtest guide · backtest basics · symphony trading
// 2 · PORTFOLIO123
Fits best: stock pickers who rank companies on fundamentals and want to test those rankings on point-in-time data.
PROS
- No programming: screens, ranking systems and strategies are spreadsheet-like formulas built from pre-built factors.
- States point-in-time data with no survivorship or look-ahead biases, with data from FactSet.
- Up to 20 years of backtest history across the US, Canada and Europe, with over 15,000 current stocks covered.
- Simulations can include slippage and commissions.
- AI Factor builds machine learning factors without code (Portfolio plan and up).
CONS
- History is tied to the plan: 5 years on Screener ($35 a month or $300 a year), 10 on Backtest ($116 a month), 15 on Portfolio ($174 a month) and 20 on Ultimate ($278 a month or $2,400 a year).
- Full strategies and hedging start on the Portfolio plan, and a second region adds 40% to the price.
Sources, checked 2026-09-27: portfolio123.com · research tools · pricing (individual plans)
// 3 · QUANTGPT · PUBLISHER OF THIS PAGE
Fits best: investors who want to ask their own AI a market question in plain English and get a backtest back, losing years included, and who place any trades themselves.
PROS
- No code: ask in plain English through Claude, ChatGPT or another MCP client (the Claude and ChatGPT apps sign in to QuantGPT, no key to paste), or run a strategy from the library in one click: 175 documented strategies, 63 of them runnable.
- Every backtest shows its calendar years, losing years included, with walk-forward validation against a benchmark.
- Decades of US market history, fundamentals joined by filing date, and a public verify page for checking our daily bars against any independent source.
- Futuretests replay your holdings through every past episode of one kind of event, such as a US tariff shock or an oil supply shock; they read history and do not forecast. Separate engines cover crypto, prediction markets and sports odds.
- A free start with no card: 5 backtests and 5 AI calls. QuantGPT is $49 a month and QuantGPT Pro $149 a month, each with 3 days free.
CONS
- It does not place trades. You can follow a result on paper or download its criteria, then act at your own broker; the hosted runner is coming to QuantGPT Pro and is not open yet.
- Market-wide stock backtests leave out companies that later delisted until a fix lands, so they lean toward survivors, and about 9% of fundamentals rows still show the quarter-end as their filing date. Backtests on a list of tickers and rules on a single index are not affected by the first.
- A young product with a brief public record (public launch October 1, 2026). Results are gross of trading costs unless a report says otherwise, and Ask AI inside the terminal runs on a model key you bring.
Start free: 5 backtests and 5 AI calls, no card
Sources, our own pages: plans · the strategy library · methodology and data limits · the model key · the verify page
// 4 · TRENDSPIDER
Fits best: technical traders who want a no-code strategy tester and trading bots across stocks, options, futures, crypto and forex, and who do not need a free plan.
PROS
- Point-and-click Strategy Tester: entries, exits, take-profits, stop-losses and trailing stops without code.
- Up to 50+ years of history stored for symbols with that much coverage.
- US stocks on NYSE and NASDAQ, US options (OPRA), CME futures, ETFs, crypto and forex.
- Sidekick, its AI assistant, reviews backtest results and suggests changes (25 free messages a month on every plan), and ML Quant Lab builds prediction models.
- A backtested strategy can run as a bot that sends alerts or places trades through a supported broker.
CONS
- No free plan: the 14-day trial is paid, from $19 (Standard) to $49 (Advanced).
- Each run is capped by candle count: 2K on Standard, 10K on Premium, 20K on Enhanced and 30K on Advanced, so one run covers part of the stored history.
- Prices move with promotions, and sale plans are final and non-refundable. On 2026-09-27 its pricing page showed Standard at $49.68 a month during a sale (list $82).
Sources, checked 2026-09-27: pricing · Strategy Tester
// 5 · STRATEGYQUANT X
Fits best: forex, futures and CFD traders who want to generate many rule-based strategies without code, stress-test them and export them to MetaTrader, TradeStation, MultiCharts or JForex.
PROS
- No code: machine learning and genetic programming generate strategies by combining millions of entry and exit conditions, and the software writes the full source code.
- Advanced robustness tests on the Professional edition and up: Monte Carlo simulations, parameter permutations and a walk-forward matrix.
- Free tick data for forex, CFDs and crypto with 10+ years of history from Dukascopy, or import your own.
- Exports to MetaTrader 4 and 5, TradeStation, MultiCharts and JForex, and runs on Windows, Mac and Linux.
- A lifetime license, paid once or over 12 months, with a 14-day free trial.
CONS
- Price: Starter is $1,290 once or $129 a month for 12 months, and the advanced robustness tests start with Professional ($1,490 once at its September 2026 sale price).
- US stock and futures data (30+ years) is a paid subscription, included in Ultimate; the free data pack is forex, CFDs and crypto.
- It searches millions of rule combinations on the same history, which raises the odds that a strong backtest is a fit to past noise (overfitting); the robustness tests are there to catch that.
Sources, checked 2026-09-27: strategyquant.com · pricing · FAQ
// 6 · QUANTCONNECT · NEEDS CODE
Fits best: people who write Python or C#, or want to learn, and want free, deep, multi-asset backtesting with a path to live trading.
Its 7 points are the most of the seven; it ranks sixth here because it needs code.
PROS
- A free plan with unlimited backtesting.
- US stocks from January 1998, listed and delisted, which QuantConnect calls survivorship bias-free, from tick to daily resolution and free in its cloud.
- Equities, options, indexes, index options, futures, future options, forex, CFDs and crypto.
- Mia, its AI agent, writes the code, runs the backtest and fixes what breaks; its MCP server lets Claude Code, Copilot, Cursor and Devin Desktop create projects, run backtests and deploy live algorithms.
- The open-source LEAN engine, and live trading through 20 integrations on paid tiers.
CONS
- Algorithms are Python or C#. Mia can write them, but checking what a strategy does means reading code.
- No live trading on the free plan, and paid tiers price seats, compute nodes and live nodes separately: its pricing page shows a recommended Researcher setup at $84 a month (as of 2026-09-27).
Sources, checked 2026-09-27: quantconnect.com · pricing · US Equities dataset · algorithm engine · Mia · MCP server
// 7 · TRADINGVIEW · NEEDS CODE
Fits best: chart-first traders who test technical strategies and write Pine Script, or want to learn it.
Its 5 points equal Composer's and Portfolio123's; it ranks seventh here because your own strategy needs Pine Script.
PROS
- A free Basic plan with strategy backtesting, no card needed.
- Daily charts show all available history for a symbol, and Deep Backtesting (Premium and up) runs a strategy over a date range you choose, up to 2 million bars.
- A very large platform: TradingView says 100 million traders use it, and its screeners cover 150+ exchanges in 50+ countries.
- An official MCP server, in public beta since September 16, 2026 for Essential and up, brings quotes, the screener, fundamentals, news, watchlists and alerts into Claude or ChatGPT.
- Paper trading, and trading through selected brokers from the chart.
CONS
- Your own strategy is Pine Script code.
- Deep Backtesting needs Premium ($59.95 a month billed annually), and intraday charts hold 5K to 40K bars depending on the plan.
- The MCP server lists no backtest or Pine Script tool (September 2026), and its market data is delayed during the beta.
Sources, checked 2026-09-27: pricing · Deep Backtesting · Deep Backtesting data · intraday bar limits · Pine Script strategies · MCP beta · MCP docs
// METHODOLOGY
Who this is for. A retail investor who invests their own money in US stocks and ETFs, does not write code, wants to test an idea on many years of history before risking money, and wants to start free or cheap.
Step 1, the code question. Can you build and check your own rules without writing or reading code? The five platforms that pass rank first. QuantConnect (Python or C#) and TradingView (Pine Script) follow, ordered by the same points.
Step 2, four points, 0 to 2 each, 8 at most.
- Free start. 2 for a free plan that keeps backtesting; 1 for a free plan or trial limited by time or count; 0 for a paid trial only.
- Entry price, the first paid plan that backtests. 2 under $25 a month; 1 from $25 to $99; 0 at $100 a month or more, or the same paid up front.
- Stock history. 2 for 20 years or more of US stock history on the free or first paid plan; 1 when there is more history but a plan, a bar count or ticker age caps it, or its depth is not published; 0 when stock data is a paid add-on.
- Bias controls. 2 when the platform states both survivorship-bias-free stock data and point-in-time data; 1 when it states one; 0 when the pages we read state neither, or when there is a known gap.
Ties go to the cheaper start: the free-start and entry-price points added together.
| # | Platform | No code | Free start | Entry price | Stock history | Bias controls | Points |
|---|---|---|---|---|---|---|---|
| 1 | Composer | Yes | 2 | 2 | 1 | 0 | 5 |
| 2 | Portfolio123 | Yes | 1 | 1 | 1 | 2 | 5 |
| 3 | QuantGPT | Yes | 1 | 1 | 2 | 0 | 4 |
| 4 | TrendSpider | Yes | 0 | 1 | 1 | 0 | 2 |
| 5 | StrategyQuant X | Yes | 1 | 0 | 0 | 0 | 1 |
| 6 | QuantConnect | No | 2 | 2 | 2 | 1 | 7 |
| 7 | TradingView | No | 2 | 2 | 1 | 0 | 5 |
Composer and Portfolio123 tie at 5 points; Composer ranks first on the cheaper start (4 points against 2).
What we did not do. We did not run one standard strategy on all seven platforms, and we did not audit their data. This compares what each company publishes about code, data, AI and price, read from its own pages and docs in September 2026. Prices and features change; the links under each section are the record.
Who wrote it. QuantGPT publishes this page and is one of the seven. We scored QuantGPT by the same rules from our own docs, gaps included: it scores 0 on bias controls because market-wide backtests leave out companies that later delisted and about 9% of fundamentals rows show the quarter-end as their filing date.
// FAQ
What are the best backtesting platforms in 2026?
For a retail investor who does not code, our ranking is Composer, Portfolio123, QuantGPT, TrendSpider and StrategyQuant X, then two platforms that need code: QuantConnect and TradingView. The order comes from the code question and four points: a free start, the entry price, stock history and bias controls. If you write code, QuantConnect scores highest on those points, 7 of 8. QuantGPT publishes this page and ranks third by the same rules.
What is the best QuantConnect alternative for beginners?
If you do not code, Composer and Portfolio123 rank highest here. Composer has a no-code editor, an AI builder and unlimited free backtests; Portfolio123 has no-code ranking systems on point-in-time stock data. QuantGPT fits if you would rather ask in plain English through Claude or ChatGPT. Before you leave QuantConnect, try Mia, its AI agent that writes and runs the code for you; checking the result still means reading Python or C#.
Which backtesting tools show losing years?
QuantGPT shows every calendar year of every backtest, losing years included, beside a benchmark. The other six publish risk figures (Composer's backtest guide covers max drawdown and historical allocations, for example), but from their public pages we could not confirm that a year-by-year table is standard in each. Whatever the tool, look for the losing years and the sample size (how many years and trades) before you trust an equity curve.
Do I need to code to backtest?
No. Five of the seven here let you build and test rules without code: Composer, Portfolio123, QuantGPT, TrendSpider and StrategyQuant X. TradingView strategies are Pine Script, and QuantConnect algorithms are Python or C#, though QuantConnect's AI agent Mia can write that code for you.
Is there a free backtesting platform?
Yes. QuantConnect's free plan includes unlimited backtesting (live trading is paid), Composer's Starter plan is $0 with unlimited backtests, and TradingView's Basic plan is free with strategy backtesting. QuantGPT's free start is 5 backtests and 5 AI calls, no card. Portfolio123 gives 30 days free, StrategyQuant X has a 14-day free trial, and TrendSpider's 14-day trial is paid, from $19.
Related: QuantGPT vs the EODHD MCP server · connect Claude to QuantGPT · the strategy library
Facts about Composer, Portfolio123, TrendSpider, StrategyQuant X, QuantConnect and TradingView come from their public pages and docs, checked 2026-09-27, and may have changed. Their names are trademarks of their owners; no affiliation or endorsement is implied. QuantGPT is a research tool, not investment advice. Backtests are hypothetical, and past results, real or simulated, do not predict future results. See the disclosures; the terms govern.