QuantGPT vs QuantConnect

Updated September 2026 · Written by QuantGPT, the maker of one of the two, so read it knowing that

// THE SHORT VERSION

QuantConnect is a code-first platform for algorithmic trading. You write strategies in Python or C# on LEAN, its open-source engine, backtest them on stock, option, future, forex and crypto data, and, on a paid plan, run them live through a brokerage.

QuantGPT is a research platform you can use without writing code, including from inside Claude or ChatGPT. You pick a documented strategy or ask a question in plain English, the backtest runs on our side over decades of US market history, and every backtest shows its losing years. QuantGPT never places a trade: you trade at your own broker.

If you write code and want your algorithm to trade live, QuantConnect is built for that. If you want answers without code, and you place your own trades, that is what QuantGPT is for.

// WHERE QUANTCONNECT IS STRONG

First, what QuantConnect does well, from its own pages (every source is listed at the end).

CodeStrategies are written in Python or C#, the two languages QuantConnect supports.
EngineLEAN, the engine behind QuantConnect, is open source under the Apache 2.0 license and can run on your own machines as well as in its cloud.
LiveLive trading on paid plans through brokerages such as Interactive Brokers, Charles Schwab, tastytrade, Alpaca, TradeStation and Webull, and crypto venues such as Coinbase, Binance and Kraken, plus its own paper trading. Each algorithm deployed to its co-located servers gets its own live trading node.
DataUS stocks and ETFs since 1998 at resolutions from tick to daily, US equity options since 2010, futures since 2009 and index options since 2012, plus forex, CFDs, crypto and alternative data. Its US equity set, from AlgoSeek, covers about 27,500 securities, and QuantConnect calls it survivorship bias-free.
CommunityIts homepage counts a 546K quant community and 375K live deployments. Its Strategy Library turns strategies from academic papers into LEAN code, and members share algorithms you can clone.
AIMia, its AI assistant, writes, runs and fixes algorithm code and can deploy and monitor paper trading; the decision about live money stays with you. Its MCP server gives an AI client such as Claude Code, Copilot or Cursor 60+ tools to create projects, run backtests and deploy live algorithms.

// SIDE BY SIDE

QuantConnect and QuantGPT compared on six points
	QUANTCONNECT	QUANTGPT
Code required	Yes. Strategies are Python or C# code on the LEAN engine. Mia, or your own AI client through its MCP server, can write that code for you.	No. Pick a documented strategy and set its parameters, build criteria in the terminal, or ask Claude or ChatGPT in plain English once it is connected.
AI integration	Mia, an AI assistant that writes, runs and fixes algorithm code, and a set of predefined agents. An MCP server with 60+ tools that lets an AI client create projects, run backtests and deploy live algorithms; the remote MCP needs a paid plan with an assistant harness server.	An MCP server built for research: the claude.ai, Claude Desktop and ChatGPT apps sign in to QuantGPT with no key to paste, and Claude Code and scripts use a key. Your AI searches the library, runs backtests and queries the data, and every tool is read-only: nothing it can call places, modifies or cancels an order. AI calls: 5 in all on Free, 500 a day on QuantGPT, 1,500 a day on QuantGPT Pro.
History depth	US stocks and ETFs since 1998, tick to daily; US equity options since 2010; futures since 2009; index options since 2012; forex, CFDs and crypto. QuantConnect calls its US equity set survivorship bias-free.	US stocks on daily bars. The S&P 500 index from 1928 (price levels, no dividends); single stocks thin before 1980 (27 names in 1962, 532 in 1980). Companies that later delisted have prices from 1998 but are not in the market-wide backtest universe yet (a fix is in progress), so a market-wide backtest leans toward survivors; a backtest on tickers you name, or a rule on one index, is not affected. Plus crypto, commodities, FRED macro, prediction markets and sports odds.
Strategy library	The Strategy Library: tutorials by the QuantConnect team and community that implement strategies from the academic literature in LEAN code. Plus a community page of shared algorithms, backtested by QuantConnect each day, that you can clone into your projects.	175 documented strategies from research papers, famous investors and their letters, 63 of them runnable as one-click backtests with your parameters. The rest are read-only for now: the thesis and the criteria.
Live trading	Yes, on paid plans, through brokerages such as Interactive Brokers, Charles Schwab, tastytrade and Alpaca, or crypto venues such as Coinbase and Kraken. Each algorithm deployed to its co-located servers needs its own live trading node. The free plan has no live trading.	No. QuantGPT never places a trade. Follow a backtest on paper ($100,000 on paper from today, marked every night, no broker and no order), or download its criteria for your own code at your own broker. Coming to QuantGPT Pro: the runner hosts your own code at your own Alpaca account. It is not open yet.
Pricing	Free plan: unlimited backtesting on its equity, index, forex, crypto, futures and options data, with no live trading. Paid plans: Researcher, Team, Trading Firm and Institution. You pick a tier, then seats, compute nodes, add-ons, data and support, and its pricing page sets the price from those.	Free: 5 backtests and 5 AI calls for the life of the account, no card. QuantGPT: $49 a month, 200 backtests a day. QuantGPT Pro: $149 a month, adding prediction markets and the strategy exchange. Both paid plans start with 3 days free, card up front, cancel any time.

// WHERE QUANTGPT DIFFERS

Your AI does the research, in the chat you already use

QuantGPT is built to be driven from Claude or ChatGPT over MCP. Connect it once, and your AI searches the library, runs a backtest and reads the result mid-conversation. The computation runs on our side, and the answer comes back with the numbers that produced it. The tools only read: nothing your AI can call places, modifies or cancels an order. QuantConnect's MCP server does a different job: it lets your AI design, backtest, optimize and live trade strategies on QuantConnect. Guides: connect Claude, connect ChatGPT.

Every losing year, on every backtest

Each backtest shows its calendar years, losing years included, so the bad stretches sit next to the good ones. Our daily bars can be checked one at a time against any independent source on the public verify page.

Lessons that play without an account

Three lessons run on real market data with no sign-in: arm your AI, become a quant, run the backtester. Members get QuantGPT University, where every chapter is a lesson, one button into the product and a three-question check. QuantConnect teaches too: its Learning Center and BootCamp offer interactive, step-by-step guides to building strategies with its API. Play lesson 1.

The event desk

World events puts events on a map against the market's record. A futuretest replays your holdings, at today's weights, through every past episode of one kind of event, such as a US tariff shock, an oil supply shock or a Taiwan Strait crisis, 63 trading sessions each, drawn as a cone. It reads history; it does not forecast, and a real event can fall outside the cone. World events opens on every plan, the Free plan included.

// WHO SHOULD USE WHICH

QuantConnect, if you

write Python or C#, or want to learn;
need intraday data, options or forex, or want to trade futures;
want your algorithm to trade live through a brokerage, on a paid plan;
want an open-source engine you can run on your own machines;
work in a team or a firm that needs shared projects and permissions (its Team, Trading Firm and Institution plans).

QuantGPT, if you

want to test ideas without writing code;
already use Claude or ChatGPT and want it to run backtests mid-conversation;
want every losing year in front of you before you trust a result;
want to see what your own holdings went through in past events of one kind;
place your own trades at your own broker.

Both, if you

want to find and test an idea fast in plain English, then write it as an algorithm. On QuantGPT, Download the criteria puts the rules and the backtest's numbers in one file: a starting point for your own code, on QuantConnect or anywhere else.

// QUESTIONS

Do I need to write code to use QuantGPT or QuantConnect?

Not for QuantGPT. You pick a documented strategy and set its parameters, build criteria in the terminal, or connect Claude or ChatGPT over MCP and ask in plain English. On QuantConnect, strategies are Python or C# code on the LEAN engine; its AI assistant, Mia, can write and run that code for you, and so can your own AI client through its MCP server.

Can QuantGPT trade live the way QuantConnect does?

No. QuantGPT never places a trade. You can follow a backtest on paper, with $100,000 on paper from today, marked every night, no broker and no order, or download its criteria for your own code at your own broker. Coming to QuantGPT Pro: the runner hosts your own code at your own Alpaca account. It is not open yet. QuantConnect runs live algorithms on its paid plans, with a live trading node for each algorithm on its servers, through brokerages such as Interactive Brokers, Charles Schwab and Alpaca.

Which one has deeper market data?

They go deep in different places. QuantConnect has US stocks and ETFs since 1998 at resolutions from tick to daily, US equity options since 2010, futures since 2009, forex, CFDs and crypto, and it calls its US equity set survivorship bias-free. QuantGPT has US stocks on daily bars, the S&P 500 index from 1928 and single stocks thin before 1980, plus crypto, commodities, FRED macro, prediction markets and sports odds. QuantGPT's market-wide stock backtests do not include companies that later delisted yet (a fix is in progress), so they lean toward survivors; a backtest on tickers you name, or a rule on one index, is not affected.

// PUBLISHER DISCLOSURE

QuantGPT LLC publishes this page and makes QuantGPT, so we are not a neutral party. We are not affiliated with QuantConnect, it did not review or endorse this page, and the links to its pages have no affiliate code: we earn nothing if you choose QuantConnect. We compared public product pages and documentation; we did not run the same strategy on both platforms. Every fact about QuantConnect comes from its own public pages checked 2026-09-27, listed below, and plans and features change, so check there before you decide. Every QuantGPT number comes from our own plans and product. If something here is wrong, write to desk@quantgpt.co and we will correct it.

// SOURCES: QUANTCONNECT'S OWN PAGES, AS OF SEPTEMBER 2026

quantconnect.comData by asset class and start year; the 546K quant community and 375K live deployments.
quantconnect.com/pricingThe Free, Researcher, Team, Trading Firm and Institution plans; the free plan's unlimited backtesting and no live trading; a paid plan built from a tier plus seats, compute nodes, add-ons, data and support.
quantconnect.com/docs/v2/cloud-platform/welcomePython and C#; the data library, alternative data included.
quantconnect.com/docs/v2/lean-engine/getting-startedLEAN is open source and runs algorithms in Python 3.11 or C#.
lean.ioQuantConnect's site for LEAN: the Apache 2.0 license; runs on-premises.
quantconnect.com/docs/v2/cloud-platform/live-trading/brokeragesThe brokerages, crypto venues and paper trading.
quantconnect.com/docs/v2/cloud-platform/organizations/resourcesA live trading node for each algorithm deployed to its co-located servers.
quantconnect.com/data/algoseek-us-equitiesUS equities since January 1998, about 27,500 securities, tick to daily; survivorship bias-free, in its words.
quantconnect.com/mcp60+ tools to design, backtest, optimize and live trade strategies.
quantconnect.com/docs/v2/ai-assistance/mcp-serverThe documented AI clients: Claude Code, Copilot, Cursor and Devin Desktop.
quantconnect.com/docs/v2/ai-assistance/mcp-server/key-conceptsCreate projects, run backtests, deploy live algorithms; a paid plan with an assistant harness server for the remote MCP.
quantconnect.com/docs/v2/ai-assistanceThe predefined agents.
quantconnect.com/docs/v2/ai-assistance/predefined-agents/miaMia writes, runs and fixes algorithm code and deploys and monitors paper trading; live capital stays your decision.
quantconnect.com/docs/v2/writing-algorithms/strategy-libraryTutorials that implement strategies from the academic literature in LEAN.
quantconnect.com/docs/v2/cloud-platform/community/strategiesShared algorithms, backtested each day, that you can clone.
quantconnect.com/learningThe Learning Center and BootCamp.

QuantGPT's numbers come from its own plans and product: the plans on the home page, the strategy library, and the data limits on the disclosures page.

// MORE COMPARISONS

Backtesting platforms compared, 2026 · QuantGPT vs the EODHD MCP server

Try QuantGPT: start free with 5 backtests and 5 AI calls, no card, or play lesson 1 without an account.

Facts about QuantConnect are from its public pages, checked 2026-09-27, and may have changed. The names of other companies and products belong to 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. The terms govern.