Financial trading is a crucial component of the markets, informed by a multimodal
information landscape encompassing news, prices, and Kline charts, and encompasses …

The financial markets, which involve over\$90 trillion market capitals, attract the attention of
innumerable profit-seeking investors globally. Recent explosion of reinforcement learning in …

High-frequency trading (HFT) is using computer algorithms to make trading decisions in
short time scales (eg, second-level), which is widely used in the Cryptocurrency (Crypto) …

How can we leverage inherent frequency features of stock signals for effective portfolio
optimization? Portfolio optimization in the domain of finance revolves around strategically …

Financial trading is a crucial component of the markets, informed by a multimodal
information landscape encompassing news, prices, and Kline charts, and encompasses …

The success of stock market predictions will be a useful asset for stock market securities
institutions, as well as allowing shareholders and investors to grasp market forces and focus …

The noise and high randomness of the stock market are primary obstacles to profitability.
These factors cause stock returns to consist of short-term predictable and stock-specific …

Optimizing stock selection through stock ranking is one of the critical but intricate tasks in
quantitative trading areas because of the non-stationary dynamics and complicated …

Accurate stock movement prediction is essential to profit from the stock market. However,
this task is challenging due to the complexity and non-stationary nature of the market. Deep …

Market making (MM) has attracted significant attention in financial trading owing to its
essential function in ensuring market liquidity. With strong capabilities in sequential decision …