Intra-day volatility presents a precarious situation where investors are torn between the potential for high short-term profits and the risk of sudden and unexpected losses.

These rapid price changes can significantly affect traders' strategies, influencing their decisions on when to buy or sell.

This volatility not only impacts profitability but also heightens the stress and cognitive load on traders as they struggle to keep up with rapid market changes, making quick and precise decisions.

The stakes are high, as failing to anticipate these movements can lead to severe financial consequences for individuals and institutional investors alike.

Current predictive models for assessing intra-day volatility are either too complex or not sufficiently accurate, leading to unreliable signals in fast-moving markets.

Additionally, the integration of real-world events and sentiments into electronic trading platforms is inadequately developed, further complicating traders’ ability to make informed decisions quickly.