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Taylan Kabbani

3 papers hereh-index 295 citations3 works total

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

author position
  • sole author1
  • first author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-fin.PM1
  • q-fin.ST1
  • q-fin.TR1

identity via Semantic Scholar / OpenAlex

most citedDeep Reinforcement Learning Approach for Trading Automation in The Stock Market

78 citations · 97 across the 3 of their papers we have counts for

collaborators

3 papers

q-fin.PM2022★ 1 cited

Metaheuristic Approach to Solve Portfolio Selection Problem

Taylan Kabbani

In this paper, a heuristic method based on TabuSearch and TokenRing Search is being used in order to solve the Portfolio Optimization Problem. The seminal mean-variance model of Ma…

q-fin.TR2022★ 78 cited

Deep Reinforcement Learning Approach for Trading Automation in The Stock Market

Taylan Kabbani, Ekrem Duman

Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combini…

q-fin.ST2022★ 18 cited

Predicting The Stock Trend Using News Sentiment Analysis and Technical Indicators in Spark

Taylan Kabbani, Fatih Enes Usta

Predicting the stock market trend has always been challenging since its movement is affected by many factors. Here, we approach the future trend prediction problem as a machine lea…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.