ANN and SSO Algorithms for a Newly Developed Flexible Grid Trading Model

In the modern era, trading methods and strategies used in financial market have gradually changed from traditional on-site to electronic remote trading, even online automatic performed by pre-programmed computer programs. This is due conduct of automatically self-adjustment markets becoming a competitive development trend entire market, with continuous network computing technology. Quantitative aims form fixed quantifiable operational logic people’s investment decisions apply it which has attracted attention market. The programming algorithms for transformed being top priority academic research practice. Thus, new flexible grid model incorporating Simplified Swarm Optimization (SSO) algorithm optimizing parameters various situations as input values Fully Connected Neural Network (FNN) Long Short-Term Memory (LSTM) training quantitative calculating adjusting optimal after inputting existing situation are developed studied this work. proposed provides self-adjust reduce investors’ effort obtains outperformed Return Investment (ROI) robustness, can properly control balance between risk return.