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Michał Wawer

7 papers hereh-index 437 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CE2
  • cs.CY2
  • cs.AI1
  • cs.CL1
  • cs.MA1

identity via Semantic Scholar / OpenAlex

most citedIntegrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting

6 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing cs.CEShow all

2 papers · 1 filter

cs.CE2025

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction

Jarosław A. Chudziak, Michał Wawer

This paper presents ElliottAgents, a multi-agent system leveraging natural language processing (NLP) and large language models (LLMs) to analyze complex stock market data. The syst…

cs.CE2025★ 6 cited

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting

Michał Wawer, Jarosław A. Chudziak

Traditional technical analysis methods face limitations in accurately predicting trends in today's complex financial markets. This paper introduces ElliottAgents, an multi-agent sy…

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