Best backtesting platforms in 2026, ranked for retail investors

Updated October 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 on 2026-10-27 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 · OCTOBER 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, usage fees apply)	30 days of Screener and Backtest access free; Screener $35 a month or $300 a year
3	QuantGPTPublisher of this page	No: plain English through your AI, or one click from the library	Decades of US market history on US stocks and ETFs; companies that later delisted are in market-wide tests from 1998 (98% of them), survivors only before	One MCP URL for Claude, ChatGPT and other clients; Ask AI in the terminal on QuantGPT's hosted model	QuantGPT $49 a month or QuantGPT Pro $149 a month, each with a 3-day free trial, card up front
4	TrendSpider	No: point-and-click Strategy Tester	One run capped at 2K to 30K candles, by plan	Sidekick builds and backtests strategies from a description (25 messages a month) and ML Quant Lab	Paid 14-day trial, $19 to $49 at list ($14 in an October 2026 sale); Standard lists at $82 a month
5	StrategyQuant X	No: point and click; it writes the strategy code	Free data downloads for forex (Dukascopy) and stocks (Yahoo Finance); US stock and futures data, 30+ years, is a paid subscription	Machine learning and genetic programming build strategies; Q AI Assistant on AI 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; a hosted 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 requests 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. Its own site now calls it Composer by SoFi.

No code: yes · points: 5 of 8 · from $0

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 is limited by the most recently launched ticker in the strategy. Composer's own guide notes that many strategies' backtests end in 2022 because of volatility ETFs such as UVIX and SVIX, introduced that year, and that many TQQQ strategies end in 2010.
Its AI surfaces the best performing picks from the community's strategies.
Its own guide warns that refining a strategy on its past results can lead to overfitting.
Automating a strategy means trading through Composer's brokerage, with trades placed in one daily trading period.

Sources, checked 2026-10-27: composer.trade · pricing · Trade with AI · backtest guide · backtest basics · symphony trading · disclosures. Head to head: QuantGPT vs Composer, checked 2026-10-27.

// 2 · PORTFOLIO123

Fits best: stock pickers who rank companies on fundamentals and want to test those rankings on point-in-time data.

No code: yes · points: 5 of 8 · from $35 a month, 30 days free

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 models without code (Portfolio plan and up; usage fees apply for training and predictions).

CONS

History is tied to the plan: 5 years on Screener ($35 a month or $300 a year), 10 on Backtest ($116 a month or $1,000 a year), 15 on Portfolio ($174 a month or $1,500 a year) 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 2026-10-27: portfolio123.com · research tools · pricing (non-professional plans). Head to head: QuantGPT vs Portfolio123, checked 2026-10-28.

// 3 · QUANTGPT · PUBLISHER OF THIS PAGE

QuantGPT is the data and trading platform for AI.

Fits best: investors who want to ask their own AI a market question in plain English and get a backtest back, losing years included, then trade at their own broker, by hand or, on QuantGPT Pro, with their own code on QuantGPT Cloud.

No code: yes · points: 4 of 8 · from $49 a month, 3-day free trial

PROS

No code: one MCP URL, https://terminal.quantgpt.co/mcp. claude.ai, Claude Desktop and ChatGPT sign in over OAuth, and other clients use a key. Ask in plain English, or run a strategy from the library in one click: 175 documented strategies, 55 of them runnable.
Every backtest shows its calendar years, losing years included, with walk-forward validation against a benchmark.
US stocks and ETFs over decades of market history, fundamentals joined by filing date, and a public verify page for checking our daily bars against any independent source.
On QuantGPT Pro, QuantGPT Cloud runs your own code and sends its orders to your own brokerage account under your own keys, using only your broker's own order types. QuantGPT never manages a trade.
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.
QuantGPT is $49 a month and QuantGPT Pro $149 a month, each with a 3-day free trial, card up front, cancel any time. Business is custom, from $1,499 a month, by call.

CONS

QuantGPT Cloud is on QuantGPT Pro and supports Alpaca today (paper and live accounts), in U.S.-listed stocks and ETFs. On QuantGPT, you act on a result at your own broker or download its criteria for your own code.
Market-wide stock backtests hold survivors only before 1998. From 1998, 12,521 of the 12,841 companies that later delisted (98%) can enter them, and about 9% of fundamentals quarters carry an estimated filing date. Backtests on a list of tickers and rules on a single index are not affected by the first.
Results are gross of trading costs unless a report says otherwise.

Start your 3-day free trial

Sources, our own pages: plans · the strategy library · methodology and data limits · QuantGPT Cloud · Ask AI and 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.

No code: yes · points: 2 of 8 · from $19 for a 14-day trial at list

PROS

Point-and-click Strategy Tester: entries, exits, take-profits, stop-losses and trailing stops without code.
US equities and ETFs, global forex and crypto, plus CME futures and OPRA options as paid data add-ons.
Sidekick, its AI assistant, can build a strategy from a broad goal or exact rules, run the backtests and refine the results (25 messages a month on every plan), and ML Quant Lab trains prediction models without code.
A saved strategy can run as a bot that sends notifications or routes orders to a supported broker.

CONS

No free plan: the 14-day trial is paid, from $19 (Standard) to $49 (Advanced) at list; on 2026-10-27 a sale priced every trial at $14.
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 2026-10-27 its pricing page listed Standard at $82 a month before a sale discount.

Sources, checked 2026-10-27: pricing · Strategy Tester. Head to head: QuantGPT vs TrendSpider, checked 2026-10-28.

// 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.

No code: yes · points: 2 of 8 · from $1,290 once, 14-day free trial

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 data downloads built in: forex from Dukascopy and stocks from Yahoo Finance.
Exports to MetaTrader 4 and 5, TradeStation, MultiCharts, JForex and NinjaTrader, 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 October 2026 sale price, list $1,790).
US stock and futures data from US exchanges (30+ years of end-of-day history, 10+ years of minute data) is a paid subscription, from $99 for six months, and included in Ultimate.
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 2026-10-27: strategyquant.com · pricing · features · data subscription · 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.

No code: no (Python or C#) · points: 7 of 8 · from $0

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, about 27,500 securities, which QuantConnect calls survivorship bias-free, from tick to daily resolution and free to use in its cloud (tick and second resolution need a paid plan).
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 hosted MCP server lets Claude Code, Copilot, Cursor and Devin Desktop create projects, run backtests and deploy live algorithms (it needs a paid agent node).
The open-source LEAN engine, and live trading through 20 brokerages and crypto venues 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 2026-10-27).

Sources, checked 2026-10-27: quantconnect.com · pricing · US Equities dataset · algorithm engine · Mia · brokerages · MCP server · MCP key concepts

// 7 · TRADINGVIEW · NEEDS CODE

Fits best: chart-first traders who test technical strategies and write Pine Script, or want to learn it.

No code: no (Pine Script) · points: 5 of 8 · from $0

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 and investors use it.
An official MCP server, in public beta since September 16, 2026 for Essential and up, brings quotes, price history, the screener, fundamentals, filings, news, watchlists and alerts into Claude, ChatGPT, Codex or Cursor.
Trading through supported brokers directly on its charts.

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 (checked 2026-10-27), its market data is delayed during the beta, and trial plans do not include it.

Sources, checked 2026-10-27: tradingview.com · pricing · Deep Backtesting · Deep Backtesting data · intraday bar limits · Pine Script strategies · MCP beta · MCP docs. Head to head: QuantGPT vs TradingView, checked 2026-10-28.

// 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, then the lower first payment in dollars.

#	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	1	0	2
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). TrendSpider and StrategyQuant X tie at 2 points and on the cheaper start (1 point each); TrendSpider ranks fourth on the lower first payment ($19 for its trial at list, against $129 for StrategyQuant X's first monthly payment).

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 on 2026-10-27. 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 hold survivors only before 1998 and about 9% of fundamentals quarters carry an estimated 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 and QuantGPT Pro each start with a 3-day free trial, card up front. Portfolio123 gives 30 days of Screener and Backtest access free, StrategyQuant X has a 14-day free trial, and TrendSpider's 14-day trial is paid, from $19 at list.

Facts about Composer, Portfolio123, TrendSpider, StrategyQuant X, QuantConnect and TradingView come from their public pages and docs, checked 2026-10-27, 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.