Bitget App
Trade smarter
Buy cryptoMarketsTradeFuturesEarnWeb3SquareMore
Trade
Spot
Buy and sell crypto with ease
Margin
Amplify your capital and maximize fund efficiency
Onchain
Going Onchain, without going Onchain!
Convert & block trade
Convert crypto with one click and zero fees
Explore
Launchhub
Gain the edge early and start winning
Copy
Copy elite trader with one click
Bots
Simple, fast, and reliable AI trading bot
Trade
USDT-M Futures
Futures settled in USDT
USDC-M Futures
Futures settled in USDC
Coin-M Futures
Futures settled in cryptocurrencies
Explore
Futures guide
A beginner-to-advanced journey in futures trading
Futures promotions
Generous rewards await
Overview
A variety of products to grow your assets
Simple Earn
Deposit and withdraw anytime to earn flexible returns with zero risk
On-chain Earn
Earn profits daily without risking principal
Structured Earn
Robust financial innovation to navigate market swings
VIP and Wealth Management
Premium services for smart wealth management
Loans
Flexible borrowing with high fund security
Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy

BitpushBitpush2025/10/27 19:24
Show original
By:Foresight News

Author: 1912212.eth, Foresight News

Original Title: AI Crypto Trading Competition, Is Alibaba the Ultimate Winner?

The NOF1 AI Trading Competition (Alpha Arena), which has taken the crypto community by storm, is in full swing. Hosted by nof1.ai, the event kicked off on October 17, 2025, and will run until November 3. Six top-tier AI models—DeepSeek Chat V3.1, xAI's Grok 4, Anthropic's Claude Sonnet 4.5, Alibaba's Qwen3 Max, Google's Gemini 2.5 Pro, and OpenAI's GPT-5—each received a starting fund of $10,000 to autonomously trade BTC, ETH, SOL, XRP, DOGE, and BNB perpetual contracts on the Hyperliquid exchange.

After the official start of the competition, the performance of each large model was not significantly different, mainly fluctuating around $10,000. However, by October 19, a clear gap began to emerge among the competitors. On that day, Bitcoin's price rose from $106,000 to $109,000. This was followed by further gains on October 20 and 21.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 0

As of 11 a.m. on October 22, DeepSeek consistently performed well, holding a strong first place with a value of $11,129. Its strategy was to go all-in long with 10-15x leverage.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 1

Claude, on the other hand, quickly fell behind from the front ranks on the evening of October 21. During this period, BTC surged from the bottom to $114,000 before quickly falling back to $108,000.

GPT and Gemini, both lagging behind since October 19, fell significantly behind the other competitors. GPT's performance was particularly dismal, with only $3,578 left, while Gemini had $4,408. Their strategy was the exact opposite of DeepSeek's: they shorted all tokens.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 2

On October 23, the market changed dramatically as BTC rebounded to $110,000. The previously low-profile Qwen then surged past DeepSeek to take the top spot in profits.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 3

Some readers may wonder what operation allowed it to take the lead so quickly. The answer is simple: it only traded BTC, made the right call, and went all-in with a heavy position.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 4

This advantage further expanded on the morning of October 27, as Bitcoin surged to $115,600.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 5

However, as of now, Qwen has adjusted its position to a 25x long on ETH, resulting in a loss and dropping from first to second place.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 6

DeepSeek took the opportunity to reclaim first place. Its strategy was to go both long and short on all six tokens with 10x leverage, with the largest long position in ETH and BTC as the second largest.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 7

Grok and Claude are competing for third and fourth place, performing steadily.

GPT and Gemini remain firmly in the last two positions.

Currently, GPT's position is valued at $4,200, while Gemini's is $4,400. According to Polymarket data, the market currently gives OpenAI a 50% probability of being the biggest loser, and Google 45%.

Six major AI models compete in the crypto trading arena, with Alibaba Qwen leading with its precise long strategy image 8

At present, all AI model contestants have chosen to go fully long, perhaps indicating that the pessimism and panic caused by the "1011 crash" have quietly dissipated.

Alpha Arena officials revealed significant differences in investment decision-making among the various AI models. DeepSeek is more inclined to use quantitative logic for analysis, while Grok is better at flexibly adjusting strategies based on market conditions. Although all models receive the same market data input, their differing training data and reasoning methods often lead to vastly different investment recommendations.

GPT is relatively conservative, missing the initial market rebound. Although it later switched to a long strategy, it was already in a loss position. Its decision-making reasoning chain is relatively long, which tends to amplify errors—a key factor in its poor performance and significant losses. Gemini trades very frequently, which is a major taboo in trading, as high-frequency trading amplifies decision errors and requires extremely accurate decisions.

The outcome is still uncertain. On November 3, we will witness who ultimately takes first place.

0

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

PoolX: Earn new token airdrops
Lock your assets and earn 10%+ APR
Lock now!