Beyond Trend Following: Deep Learning for Market Trend Prediction
Berzal, Fernando, Garcia, Alberto
–arXiv.org Artificial Intelligence
Trend following and momentum investing are common strategies employed by asset managers. Even though they can be helpful in the proper situations, they are limited in the sense that they work just by looking at past, as if we were driving with our focus on the rearview mirror. In this paper, we advocate for the use of Artificial Intelligence and Machine Learning techniques to predict future market trends. These predictions, when done properly, can improve the performance of asset managers by increasing returns and reducing drawdowns.
arXiv.org Artificial Intelligence
Jun-10-2024
- Country:
- North America > United States
- Illinois (0.04)
- Texas > Travis County
- Austin (0.04)
- Arizona > Maricopa County
- Phoenix (0.04)
- California > Alameda County
- Berkeley (0.04)
- Connecticut > Fairfield County
- Stamford (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Wisconsin > Dane County
- Madison (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- New York > New York County
- New York City (0.14)
- Europe
- United Kingdom > England
- Oxfordshire > Oxford (0.04)
- Spain
- Galicia > Madrid (0.04)
- Catalonia > Barcelona Province
- Barcelona (0.04)
- Andalusia
- Granada Province > Granada (0.04)
- Cádiz Province > Cadiz (0.04)
- Italy > Lazio
- Rome (0.04)
- France > Hauts-de-France
- United Kingdom > England
- Asia
- North America > United States
- Genre:
- Research Report (1.00)
- Industry:
- Banking & Finance > Trading (1.00)
- Technology: