3 papers
cs.LG2026
Finance-Grounded Optimization For Algorithmic Trading
Kasymkhan Khubiev, Mikhail Semenov, Irina Podlipnova +1
Deep Learning is evolving fast and integrates into various domains. Finance is a challenging field for deep learning, especially in the case of interpretable artificial intelligenc…
cs.LG2025
Deep Learning Models Meet Financial Data Modalities
Kasymkhan Khubiev, Mikhail Semenov
Algorithmic trading relies on extracting meaningful signals from diverse financial data sources, including candlestick charts, order statistics on put and canceled orders, traded v…
q-fin.ST2025
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
Kasymkhan Khubiev, Mikhail Semenov
Classical asset price forecasting methods primarily rely on numerical data, such as price time series, trading volumes, limit order book data, and technical analysis indicators. Ho…