Which AI Is Best for Agentic Trading in 2026?

AI agents can now research stocks and place trades on an investor’s behalf. Robinhood began rolling out accounts for AI agents in May 2026, and Webull launched a server in June 2026 that lets AI agents check balances and submit orders in plain language. To find out which AI is best for agentic trading, our research team ran a head-to-head study from September 29 to October 16, 2026.

We connected five AI platforms to simulated brokerage accounts through the brokers’ own agent connections, set to paper-trading mode, so no real money was used. Each agent received the same 320 requests across eight tasks, with 40 requests each, producing 1,600 sessions, and each one also managed its own $100,000 paper portfolio under the same written instructions for the full study. A panel of four CFA charterholders and two former professional traders scored every session from 0 to 100 without knowing which platform ran it. We also checked all 347 paper trades for errors and limit violations, and compared every portfolio with buying and holding the S&P 500. This study is for information only and is not investment advice.

Best AI for Agentic Trading Overall

Each platform was tested on its best available model. A platform’s overall score is the average of its scores across the eight tasks in our study, with each task weighted equally. In the table below, we rank the five platforms from highest to lowest. Microsoft Copilot and Meta AI were not ranked because neither could connect to a brokerage account during the study.

Agentic Trading Scores by AI Platform (September to October 2026)

Rank	AI Platform	Model Tested	Overall Score	Strongest Task
1	Claude	Claude Opus 5.5	91.2	Refusing Unsafe Requests
2	ChatGPT	GPT-6 Sol	90.5	Following Trade Instructions
3	Google Gemini	Gemini 4 Argon	89.1	Stock Research
4	Grok	Grok 4.6	84.1	Reacting to News
5	DeepSeek	DeepSeek V4-Pro	83.2	Portfolio Rebalancing
Not ranked	Microsoft Copilot	GPT-6 Astra	N/A	No brokerage connection
Not ranked	Meta AI	Muse Spark	N/A	No brokerage connection

Our researchers took three main points from this data:

• We found that Claude’s lead comes from discipline. It finished first or second in six of the eight tasks, and the panel rated it the most likely to stop and ask before acting on an unclear instruction.
• ChatGPT finished 0.7 points behind Claude and led options basics (90.9), with the clearest explanations of how a covered call or a protective put works.
• Google Gemini ranked third overall but led stock research (91.4) and reacting to news (90.8), helped by current prices and headlines from Google Search and Google Finance.

Best AI for Each Agentic Trading Task

We split the requests evenly across eight tasks, with 40 requests per task. Requests ranged from “research three dividend stocks under $50” to “sell half of my position if it falls 8% from today’s price.” The first table below shows the winner and runner-up for each task. The second table and the heat map that follows show every platform’s score for every task, with the top score in each column in bold.

Best AI Platform for Each Agentic Trading Task (September to October 2026)

Task	Best Platform	Score	Runner-Up	Score
Stock Research	Google Gemini	91.4	ChatGPT	90.8
Following Trade Instructions	Claude	93.4	ChatGPT	91.6
Setting and Respecting Risk Limits	Claude	92.8	ChatGPT	90.1
Portfolio Rebalancing	Claude	90.2	ChatGPT	89.7
Explaining Each Trade	Claude	92.1	ChatGPT	90.4
Reacting to News	Google Gemini	90.8	Grok	89.9
Options Basics	ChatGPT	90.9	Claude	89.8
Refusing Unsafe Requests	Claude	94.6	ChatGPT	91.2

Agentic Trading Scores by Task and AI Platform (September to October 2026)

AI Platform	Research	Instructions	Risk Limits	Rebalancing	Explaining	News	Options	Refusals
Claude	89.6	93.4	92.8	90.2	92.1	87.4	89.8	94.6
ChatGPT	90.8	91.6	90.1	89.7	90.4	89.6	90.9	91.2
Google Gemini	91.4	88.2	87.6	88.4	88.9	90.8	88.1	89.7
Grok	86.3	84.7	80.2	84.1	83.6	89.9	85.4	78.6
DeepSeek	85.1	83.9	82.4	86.2	82.7	79.3	84.6	81.4

Here is what our team took from the task-level results:

• We found that Claude won five tasks, Google Gemini won two and ChatGPT won one. Grok and DeepSeek did not finish first in any task.
• Refusing unsafe requests produced the widest gap of any task, 16.0 points between Claude (94.6) and Grok (78.6). These requests included borrowing against the whole account to buy a single stock and trading on a tip described as inside information.
• Grok scored 89.9 on reacting to news, second only to Google Gemini, because it pulled breaking posts from X within minutes. Its weakest task was setting and respecting risk limits (80.2).

Accuracy: Following Instructions, Risk Limits and Execution Errors

An agent that trades on its own has to do exactly what it was told. For every order, we checked whether the ticker, quantity, order type and timing matched the written instructions. We counted every trade that broke a limit the user had set, such as a maximum position size or a stop loss, and every execution error, such as buying the wrong ticker or the wrong number of shares. We also checked every price, earnings figure and ratio in the research answers against market data.

Accuracy and Risk Results by AI Platform (September to October 2026)

AI Platform	Orders Placed Exactly as Instructed	Risk-Limit Violations per 100 Trades	Execution Errors per 100 Orders	Research Answers With Wrong Data
Claude	97.8%	0.4	0.6	2.1%
ChatGPT	96.9%	0.9	0.8	2.8%
Google Gemini	95.2%	1.6	1.2	1.9%
Grok	91.4%	4.8	2.3	4.6%
DeepSeek	90.7%	3.9	2.9	6.8%

Our researchers drew three conclusions from the accuracy data:

• We found that Claude placed 97.8% of orders exactly as instructed and had the fewest risk-limit violations (0.4 per 100 trades) and execution errors (0.6 per 100 orders) in the study.
• Grok broke a risk limit 4.8 times per 100 trades, 12 times Claude’s rate. Most of its violations came from buying more of a stock that was already at the user’s maximum position size.
• Google Gemini had the lowest share of research answers with wrong data (1.9%), while DeepSeek had the highest (6.8%), often by quoting prices from earlier in the year.

Paper Trading Results Compared With the S&P 500

Each agent managed its own $100,000 paper portfolio for the full study under the same written instructions: invest in large U.S. companies, keep no more than 10% in any one stock, and limit losses on any position to 8%. We compared each portfolio’s return with buying and holding the S&P 500 over the same period, and recorded each portfolio’s largest drop from a peak. Past paper-trading results do not predict future returns.

Paper Portfolio Results by AI Platform (September to October 2026)

AI Platform	Return Minus the S&P 500 (Percentage Points)	Largest Drop From a Peak	Trades Placed
Claude	+0.3	2.1%	41
ChatGPT	+0.5	2.6%	58
Google Gemini	-0.2	2.4%	47
Grok	+0.9	5.8%	112
DeepSeek	-1.1	4.9%	89

Here is what our team took from the paper trading results:

• We found that no AI agent beat the S&P 500 by a meaningful margin. Returns ranged from -1.1 to +0.9 percentage points compared with the index, and four of the five portfolios finished within one point of it.
• Grok’s portfolio finished 0.9 points above the index but placed 112 trades, the most in the study, and had the largest drop from a peak (5.8%), more than twice Claude’s (2.1%). After adjusting for that risk, none of the agents did better than the index.
• These results match an outside test. In the Alpha Arena tournament, six AI models each started with $10,000 to trade from October 18 to November 3, 2025, and four of the six finished with less money than they started with.

Best AI Models for Agentic Trading, Including Free Options

Free users often get a different model than paying subscribers. We tested nine models across the five platforms, including each platform’s free option. The table below ranks every model we tested.

Agentic Trading Scores by Model (September to October 2026)

Rank	Model	Platform	Available On	Score
1	Claude Opus 5.5	Claude	Paid	91.2
2	GPT-6 Sol	ChatGPT	Paid	90.5
3	Claude Sonnet 5.5	Claude	Free and paid	89.9
4	Gemini 4 Argon	Google Gemini	Paid	89.1
5	GPT-6 Luna	ChatGPT	Free and paid	87.8
6	Gemini 3.8 Flash	Google Gemini	Free and paid	86.6
7	Grok 4.6	Grok	Free and paid	84.1
8	DeepSeek V4-Pro	DeepSeek	Free	83.2
9	DeepSeek V4.1 Flash	DeepSeek	Free	80.9

Our team took three main points from the model-level results:

• We found that Claude Sonnet 5.5 is the best free AI model for agentic trading, scoring 89.9, higher than every model from other platforms except GPT-6 Sol (90.5).
• Paying for ChatGPT added the most of any platform: GPT-6 Sol scored 2.7 points higher than the free GPT-6 Luna, mostly on following trade instructions and options basics.
• DeepSeek V4-Pro, which is free for everyone, scored 83.2. It made 2.9 execution errors per 100 orders, so any order it drafts should be checked before it is sent.

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