A financial trading system with optimized indicator setting, trading rule definition, and signal aggregation through Particle Swarm Optimization

Author:

Corazza Marco,Pizzi Claudio,Marchioni Andrea

Publisher

Springer Science and Business Media LLC

Reference54 articles.

1. Allen F, Karjalainen R (1999) Using genetic algorithms to find technical trading rules. J Financ Econ 51(2):245–271

2. Bakhtiyari Asl CA, Davoodi SMR, Abdolbaghi Ataabadi A (2022) Designing and evaluating the profitability of linear trading system based on the technical analysis and correctional property. Adv Math Finance Appl 7(1):49–63

3. Brabazon A, O’Neill M (2004) Evolving technical trading rules for spot foreign-exchange markets using grammatical evolution. Comput Manag Sci 1(3):311–327

4. Briza AC, Naval PC Jr (2011) Stock trading system based on the multi-objective particle swarm optimization of technical indicators on end-of-day market data. Appl Soft Comput 11(1):1191–1201

5. Clerc M (1999) The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. In: Proceedings of the 1999 congress on evolutionary computation. IEEE

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