Maximizing the benefits of nanomaterials from biomass requires unique considerations
associated with their native chemical and physical structure. Both cellulose nanofibrils and …

Quantitative trading (QT), which refers to the usage of mathematical models and data-driven
techniques in analyzing the financial market, has been a popular topic in both academia and …

In the field of portfolio management using reinforcement learning, existing approaches have
mainly focused on cash-only trading, overlooking the potential benefits and risks of margin …

Algorithmic trading refers to executing buy and sell orders for specific assets based on
automatically identified trading opportunities. Strategies based on reinforcement learning …

Many researchers when using machine learning approaches for investing focus on
predicting returns, but overlook risk management or portfolio allocation. That may lead to risk …

Autonomous trading robots have been studied in artificial intelligence area for quite some
time. Many AI techniques have been tested in finance field including recent approaches like …

Autonomous trading robots have been studied in artificial intelligence area for quite some
time. Many AI techniques have been tested for building autonomous agents able to trade …