Essays about: "profit optimization"
Showing result 11 - 15 of 87 essays containing the words profit optimization.
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11. Mimicking Claimed Alpha Generating Strategies
University essay from Linköpings universitet/ProduktionsekonomiAbstract : This research paper focuses on the implementation and evaluation of Minervini's momentum analysis techniques in an algorithmic approach. The study aimed to assess the limitations and challenges associated with executing Minervini's strategy in an algorithmic trading system. READ MORE
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12. Electrification of Last-Mile Transport : A Study of Charging Infrastructure and Collaborative Business Model
University essay from KTH/EnergiteknikAbstract : Electrification of the transport sector is an important step in reducing the global greenhouse gas (GHG) emissions. Compared to traditional internal combustion engine vehicles (ICEVs), electric vehicles (EVs) produce no tail-pipe emissions and could be coupled with responsible energy production from renewable energy sources to reduce coupled emissions of their operation. READ MORE
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13. Deep Reinforcement Learning Approach to Portfolio Optimization
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This paper evaluates whether a deep reinforcement learning (DRL) approach can be implemented, on the Swedish stock market, to optimize a portfolio. The objective is to create and train two DRL algorithms that can construct portfolios that will be benchmarked against the market portfolio, tracking OMXS30, and the two conventional methods, the naive portfolio, and minimum variance portfolio. READ MORE
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14. Stock market estimation : Using Linear Regression and Random Forest
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Stock market speculation is captivating to many people. Millions of people worldwide sell and buy stocks in the hope of turning a profit. READ MORE
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15. Deep Reinforcement Learning and Simulation for the Optimization of Production Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The main objective of this master thesis project is to use the deep reinforcement learning (DRL) and simulation method for optimization of production systems. In this project, the Deep Q-learning Networks (DQN) algorithm is first used to optimize seven decision variables in Averill Law’s production system to find the best profit, with 99. READ MORE