Intellectia's Integration of DeepSeek Model Enables Advanced Reasoning for Stock Analysis

In this financial market, where information and opportunities are constantly changing and intertwined, investors need to grasp the market pulse quickly and think calmly and rationally about decision-making.

As the world's first intelligent investment product to apply large language model (LLM) technology to the investment field, Intellectia has witnessed a revolutionary upgrade today. DeepSeek's model comprehensively improves the ability to "self-reflect" and "logically reason" so that the Al financial advisor can truly understand and meet your investment needs.

Inspired by human cognition, applied to financial reasoning

Marvin Minsky, a renowned cognitive scientist and co-founder of the Massachusetts Institute of Technology's Artificial Intelligence Laboratory, proposed that human intelligence arises from the interactions of many simple, non-intelligent agents.

This concept has been instrumental in developing AI systems that emulate human-like reasoning by integrating multiple simple processes to achieve complex behaviors. Our integration with DeepSeek's model emulates this philosophy by applying it to the analysis of the financial markets.

Five core upgrades to reshape the investment decision experience

Deep reasoning analysis: Through thought chain technology, Intellectia breaks down complex investment problems into clear analytical steps, similar to deep analytical reasoning in slow human thinking. It attempts to understand the logical relationship behind the problem and comprehensively grasps the logical relationships behind market movements.

Intelligent real-time financial knowledge: During the upgrade, we feed the model with financial data and relevant information in real-time with fine-tuned instructions, so the model can think just as humans look up information in the face of a difficult situation and turn to external sources to ensure investment advice is based on the most up-to-date and comprehensive financial information.

Self-correction mechanism: Using the reflection mechanism, the model can continuously evaluate and optimize its own output. Similar to human metacognition, when problems or errors are discovered, adjustments and iterative planning are made to improve output quality.

Complex task processing: This demands high precision, particularly when engaging in intricate reasoning tasks like stock diagnosis and trade planning. Numerous applications are utilized for challenging activities such as discussions and event context analysis. Hierarchical planning analysis enhances the accuracy of investment parameters for users.

Visualize the reasoning process: During the stock analysis, we show the progress from data to conclusion, complete the reasoning process, and make the reference information traceable so that investment advice is no longer a "black box."

Understanding and reasoning use cases

Deep reasoning when asked about QQQ

How likely will Tesla stock shift above its price point

Offering guidance on Tesla's key resistance and support levels

Conclusion

We value our investors and are a company that constantly innovates ourselves to offer the best-in-class investment research services globally. Our strategic integration of DeepSeek's model into our analysis process was not taken lightly, as our team of engineers dedicated substantial time to finetuning the model, integrating it with our data and research methodology, and testing and comparing results.

Based on these results, we have found, beyond a reasonable doubt, that the current product upgrade powered by the DeepSeek model is the most competitive and advanced product to date and can offer the most compelling value to our customers.

We encourage you to join our platform and see for yourself the power Intellectia AI can have over your investment decisions. Join today for a 7-day $1 trial.