DeepSeek No. 1 in Alpha Arena: AI Investing Demonstrates Dominance in Real Markets

Bittime - The Alpha Arena experiment was designed to test the ability of artificial intelligence to invest in real financial markets.

Each AI model was given a seed capital of US$10,000 to manage in a real market with identical conditions and data.

The goal is not just to measure strategy, but to assess algorithmic intuition in the face of unpredictable market dynamics and volatility.

Alpha Arena Tests AI Intelligence in Real Markets

Unlike static benchmarks, Alpha Arena pits AI models against dynamic market conditions, allowing researchers to see how each model adapts to risk and price momentum.

In this competition, DeepSeek V3.1 Chat emerged as the leader with a total account of around 11,046 US dollars, surpassing GPT-5 ($6,012), Grok-4 ($10,064), and Claude Sonnet 4.5 ($10,983).

DeepSeek No. 1: Dominance in an Unpredictable Market

The latest data shows DeepSeek V3.1 Chat closed at the top of the Alpha Arena leaderboard. Its performance surge highlights the model's decision-making accuracy in navigating short-term and mid-term price movements.

The official graph from Alpha Arena shows DeepSeek's sharp rise since October 20, even as other models began to lose momentum.

DeepSeek's superiority lies in its efficiency in market data processing and adaptive capabilities in strategy.reinforcement learning. 

It not only follows trend patterns, but also responds to price fluctuations in real-time with more stable risk calculations than other models.

These results indicate that the DeepSeek learning architecture has better sensitivity to macro and micro market signals.

GPT-5 and Grok Lag Under Pressure from Volatility

While DeepSeek recorded consistent increases, GPT-5 and Grok-4 showed larger fluctuations.

The GPT-5 account value dropped significantly to around $6,012 at the end of the last session, indicating a more defensive strategy but less adaptive to rapid changes in the market.

Grok-4 is still able to maintain stability around $10,064, but its performance is considered conservative compared to DeepSeek which is more aggressive in reading momentum opportunities.

From the analyzed graph data, GPT-5 and Grok-4 appear to lag behind due to limitations in adjusting trading parameters to sudden market reversals.

AI Investment Performance Prediction for the Next Month

Based on current trends, Alpha Arena projections predictDeepSeek V3.1 Chatwill remain in charge for the next 30 days.

If the trend is stable, the portfolio value is predicted to break through the range$12,000 to $12,500in mid-November 2025. In contrast, GPT-5 and Grok are projected to remain in the middle zone with a range of$9.000–$10.000, while other models are likely to stay below the $9,000 threshold.

This trend shows how AI with architectureself-adaptive and context-aware optimization like DeepSeek, it has a structural advantage in investment decision-making. However, these results remain experimental and depend on the ever-changing dynamics of the real market.

Conclusion

The Alpha Arena experiment confirms that the future of investing no longer relies solely on humans or static algorithms.

DeepSeek V3.1 Chat proves that AI can be a competitive portfolio manager, even excelling in decision-making in volatile markets.

With performance surpassing GPT-5 and Grok-4, DeepSeek is now at the forefront of the race towards truly autonomous investment intelligence.

FAQ

What is Alpha Arena?

Alpha Arena is a benchmark platform that tests the ability of AI models to invest in real financial markets with identical initial capital and the same conditions.

Why can DeepSeek be number one?

DeepSeek utilizes an adaptive learning system that enables rapid response to market data, resulting in more optimal strategies than other AI.

Can Alpha Arena results be a reference for real investment? 

Not yet. Alpha Arena is experimental, but its results provide important insights into the potential of AI in asset management in the future.

What are the future prospects for AI investment? 

If research trends like Alpha Arena continue to develop, AI models could act as automated fund managers with high levels of efficiency and accuracy.

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